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AI Agents: The Future of Productivity – But Only With the Right Architecture

Tuesday, May 26, 2026

Hello, this weekly newsletter guides you through the most important new videos from a curated selection of AI and coding YouTube channels. One compact summary per video, plus a daily overview of the dominant topics. If interested, simply click the link below the summary.

AI with Arnie (4 new videos)

• Codex: ChatGPT with Hands
  17.5.2026, 19:08:45

  **Summary:**

  The video introduces two personal agents, Hermes and OpenCla, and demonstrates their use cases as well as the differences compared to classic agents like Cloud Code and Codex. Various use cases are shown, including stock market research, fitness and nutrition management, video editing, AI news summaries, real-time monitoring, MCD server access, YouTube thumbnail creation, and server management. The installation and configuration of Hermes on a virtual private server (VPS) is explained in detail, including GitHub integration and the use of Superbase for database applications. The video emphasizes Hermes’ self-improvement capabilities and OpenCla’s benefits for tasks requiring continuous monitoring. It also demonstrates the integration of multi-agents and super-agents, as well as the ability to solve complex tasks using the `/goal` command. At the end, a comparison is drawn between Hermes and OpenCla, highlighting their respective strengths and areas of application.

  **Final Comment:**
  The video explicitly covers the AI tools Hermes and OpenCla and is intended for intermediate to advanced users.

• Claude Code Isn’t Enough Anymore
  15.5.2026, 13:06:39

  The video presents the announcement of Subq (Subquadrantic), a new AI model with a context window of 12 million tokens, representing a significant advance over existing models like ChatGPT (1 million tokens). Subq uses a subquadratic sparse attention architecture that allows it to scale linearly rather than quadratically, resulting in significantly higher efficiency and lower costs. The model is claimed to be 52 times faster and cost only 5% compared to competing models like Opus. The announcement was published on X (formerly Twitter) by Alexander and includes an API for Subq Code and Subq Search.

  The advantages of Subq lie in the ability to keep large codebases or long documentation entirely in context, which could make current workarounds like RAG (Retrieval-Augmented Generation) or agent workflows obsolete. The sparse attention architecture enables the model to consider only relevant tokens, significantly boosting computational power and speed. However, detailed technical papers are not yet available, and available benchmarks are limited and somewhat controversial.

  The potential of Subq is enormous, as it could revolutionize working with AI in areas like coding, law, research, and audits. However, the question remains whether the model can deliver the promised quality and reliability with large context windows. Available benchmarks show promising results, but further testing and confirmation is needed.

  The video explicitly covers the new Subq model and is intended for intermediate or advanced users who engage with the technical details and implications of AI models.

• Is This AI Breakthrough Real?
  7.5.2026, 15:15:00

  The video tests and compares OpenAI’s new models, particularly GPT 5.5 and the image model GPT Image 2.0, as well as competition from Deeps version 4. The test covers various applications including website creation, beehive simulation, 3D motorcycle racing game, interactive factory and production simulation, traffic simulation, creation of ComfyUI and N8N workflows, and financial data analysis. The benchmarks show that GPT 5.5 demonstrates significant improvements over previous versions in many areas, particularly in the Terminal Benchmark and Vending Benchmark. The video also discusses current issues at Anthropic, particularly rate limits, performance problems, and model unreliability, as well as the pros and cons of OpenAI and Anthropic plans. It’s recommended not to rely on a single provider and to use both models to balance different strengths and weaknesses.

  The video explicitly covers OpenAI (GPT 5.5, GPT Image 2.0, Codex), Anthropic (Cloud Code), and Deeps version 4. It is intended for intermediate and advanced users as it includes detailed tests and technical analyses.

• I Wanted to Like Gemini
  22.5.2026, 08:50:07

  The video provides a critical analysis of Google’s latest AI offerings, particularly Gemini 3.5 Flash and Antigravity 2.0, which were presented at Google IO. The author was initially impressed but became disappointed upon deeper testing. Gemini 3.5 Flash, marketed as more powerful and faster than its predecessor, shows lower intelligence in benchmarks and practical tests at higher costs compared to other models like GPT 5.5. It also consumes significantly more tokens, making it less efficient. Antigravity 2.0, the new version of the Antigravity app, is criticized as a copy of the Codex app and shows numerous errors and problems in initial tests and user feedback. The Gemini CLI, previously appreciated as an open-source project, is being replaced by a non-open-source Antigravity CLI, which also draws criticism.

  The author finds no meaningful use case for the new models and is overall disappointed with Google’s offerings. He hopes for a stronger Gemini 3.5 Pro to be released next month.

  **Final Comment:** The video explicitly covers Google’s Gemini 3.5 Flash, Antigravity 2.0, and the Antigravity CLI and is aimed at intermediate to advanced users.

Cole Medin (10 new videos)

• Plan with Claude Opus, Build with Kimi K2.6? LIVE Mixed-Provider Benchmark
  22.5.2026, 03:36:08

  The video is a summary of the most important news from the world of artificial intelligence. It covers several stories, including the latest version of OpenAI’s language model, which offers improved text generation capabilities. It also reports on a new open-source initiative that enables developers to train their own AI models. Another topic is the introduction of a new tool that makes it easier to integrate AI into existing enterprise software. The video also discusses the ethical implications of these developments and emphasizes the importance of transparency and accountability in AI research.

  Final comment: The video covers OpenAI and open-source tools and is aimed at intermediate and advanced users.

• Anthropic Just Dropped a Masterclass on Building Agent Harnesses (for Large Codebases)
  21.5.2026, 00:00:30

  The video covers strategies for effectively using Claude Code with large and complex codebases. It begins by noting that many tutorials focus on simple code examples, while working with large codebases is often overlooked. The author presents ideas from an Anthropic blog post that deals with using Claude Code in large codebases. The main thesis is that the “harness” (environment and tools) is just as important as the underlying model.

  Key strategies include:
  1. **Global Rules**: These should be lean and layered to help Claude Code navigate different parts of the codebase. It’s recommended to have global rules in subdirectories to provide context-specific instructions.
  2. **Hooks**: These can be used to make the entire AI environment self-improving. Start hooks can load context-specific information, while stop hooks can suggest updates to global rules.
  3. **Skills**: These are reusable prompts or processes that are only loaded when needed. They can be restricted to specific paths in the codebase to reduce the amount of context.
  4. **Language Server Protocol (LSP) and MCP Server**: These enable Claude Code to use the same navigation as a developer in their IDE. This is particularly useful for large codebases as it enables more targeted searches.
  5. **Sub-Agents**: These can be used for exploratory tasks to avoid overloading the context windows of the main session. They conduct analyses and return a summary.

  The author also shows a plugin that integrates some of these strategies into a demo codebase to ease implementation. He emphasizes the importance of actively maintaining and improving the AI environment (AI layer) to increase the effectiveness of Claude Code.

  The video explicitly covers Claude Code and is more suited for intermediate to advanced users who already have experience working with larger codebases.

• Pushing My AI Dark Factory to Its Limits with Opus + Kimi Combined
  19.5.2026, 03:35:08

  The video shows a detailed exploration and demonstration of the coding agent Pi. The focus is on presenting Pi as a minimal, customizable coding agent tailored to the user’s individual workflows. The user integrates Pi with Archon, an open-source tool for creating harnesses, and demonstrates how Pi can be used with different models like Kimi, Minimax, and Opus.

  Key steps and insights from the video include:

  1. **Setting Up Pi with Kimi**: The user shows how to configure Pi to work with a Kimi code subscription instead of Codex. The steps for API key setup and integration into Pi’s configuration are explained in detail.

  2. **Installing and Using Extensions**: The user installs and tests various extensions from the Pi marketplace, including an extension for sub-agents, a web access extension, and an extension for managing Archon workflows. These extensions enable additional features such as desktop notifications, status bars, and integration of Archon workflows.

  3. **Creating a Custom Extension**: The user creates a custom extension called “Archon Dispatch” that transforms Pi into a control panel for Archon background tasks. This extension enables execution of Archon workflows, display of live status information, and notifications when workflows complete.

  4. **Issues and Solutions**: During the demonstration, some issues arise, particularly with the integration of Archon workflows and displaying workflow results in Pi. The user attempts to solve these issues with Kimi but encounters limitations in model capabilities. He discusses the benefits of combining stronger models like Opus with cheaper models like Kimi to achieve the best results.

  5. **Comparison with Other Tools**: The user compares Pi with other coding agents like Codex and Claude Code and highlights the advantages of Pi, particularly its customizability and speed.

  6. **Future Plans**: The user plans to continue working on the integration of Pi and Archon in future live streams and videos, and may develop an Archon workflow for creating Pi extensions.

  The video explicitly covers AI tools and models Claude, Codex, Kimi, Minimax, Opus, and Open Router. It is aimed more at intermediate and advanced users interested in customizing and integrating coding agents.

• Pi is INCREDIBLE – Building a Custom Coding Agent Live
  17.5.2026, 03:42:53

  **Summary:**

  In this stream, the new workflow marketplace for Archon was introduced and two community workflows were added. The first workflow, “Idea to Work Order”, helps convert ideas into detailed work orders for development. The second workflow, “Archon SmartMR Review”, is a GitLab equivalent to the pull request review workflow.

  The process of workflow integration was demonstrated live, including creating a pull request, automatic review by a GitHub action, and subsequent approval. Some technical challenges and improvements were also discussed, such as updating the Archon CLI and notifying about available updates.

  **Final Comment:**

  The video covers the use of Claude (OpenAI) and specific tools like Archon. It is aimed more at intermediate and advanced users.

• 🔴 The AI Coding Marketplace is Finally LIVE!
  15.5.2026, 03:17:26

  The video shows how to create fully animated videos with audio using AI. The process uses multiple technologies, including HyperFrames for rendering, Claude Code for control, 11Labs or Kokoro for voice output, and Archon as a workflow manager. The creator provides an open-source repository that makes it possible to create your own AI-generated video in less than 10 minutes. The workflow includes scripting, audio creation, rendering visuals, and synchronizing all elements. The creator emphasizes that while the technology is not yet perfect, it is progressing rapidly and already finding useful applications, particularly for explainer videos. The process is explained in detail, including the ability to customize templates and create your own templates. At the end, examples of generated videos are shown.

  The video explicitly covers HyperFrames, Claude Code, 11Labs, Kokoro, and Archon and is aimed more at intermediate users.

• Make the PERFECT Videos with Claude Code (Full Workflow)
  14.5.2026, 00:00:24

  **Summary:**

  In this live stream, development of a workflow marketplace for Archon, an open-source harness builder for AI coding, continued. The focus was on creating a marketplace where users can share their own workflows and use workflows from others. The process involved creating an Archon workflow that automatically reviews and approves pull requests for new workflows. The stream began with merging an existing pull request that introduced the marketplace UI and continued with creating a new workflow that reviews pull requests.

  The process involved several steps, including creating a plan, implementing the plan, and reviewing the generated code. Various questions and adjustments were discussed to ensure the workflow functions correctly. The stream ended with creating a pull request for a test workflow and demonstrating how the automatic review process works.

  **Final Comment:**
  The video explicitly covers the use of Claude (Claude Code) and is aimed more at intermediate to advanced users.

• Building the App Store for Agentic Engineering
  12.5.2026, 04:02:35

  **YouTube Video Summary:**

  The video shows a live demo of the AI tool Archon, which is being developed as an open-source harness builder for AI coding. The streamer presents his current AI coding workflow and how Archon accelerates this process tenfold. He demonstrates the use of Archon for various tasks, including working on GitHub issues (brownfield development) and creating new features (greenfield development).

  1. **Brownfield Development:**
  – The streamer shows how he uses Archon to work on multiple GitHub issues in parallel. Workflows are used that include planning, implementation, and validation.
  – The workflows are designed to create comprehensive pull requests that can then be manually reviewed.
  – It demonstrates how Archon is integrated with a “Second Brain” (a system for organizing knowledge and tasks) to optimize the workflow.

  2. **Greenfield Development:**
  – The streamer plans and implements a new feature for Archon: a workflow marketplace that enables users to create and share their own workflows.
  – The PIV loop (Plan, Implement, Validate) is used, a structured approach to AI-supported development that includes planning, implementation, and validation.
  – It shows how Archon workflows can be used for complex tasks such as creating a new marketplace feature.

  3. **Technical Details:**
  – Archon enables the creation of workflows that can integrate various AI models and tools, including Claude, Codex, and others.
  – The workflows are designed to be deterministic and repeatable, which increases reliability and efficiency.
  – The streamer emphasizes the importance of human-in-the-loop processes to ensure quality of results.

  4. **Integration and Extensions:**
  – It demonstrates how Archon can be integrated with other tools such as Beads (a memory system).
  – The streamer discusses the benefits of Archon compared to other tools like N8N and emphasizes Archon’s specialization in AI coding.

  5. **Community and Further Development:**
  – The streamer mentions the Dynamis community, where he regularly offers workshops and courses to help users effectively use Archon and other AI tools.
  – He announces that he will continue to conduct live streams to demonstrate the development and use of Archon.

  **Final Comment:**
  The video explicitly covers the tool Archon and is aimed more at intermediate to advanced users interested in AI coding and workflow automation.

• 🔴LIVE – My AI Coding Workflow has 10x'd Again with Archon – See it in Action
  10.5.2026, 05:56:02

  The YouTuber expresses his dissatisfaction with the current YouTube landscape, which heavily focuses on reporting about Claude and its latest features. He wants to stand out from the crowd and instead offer deeper, more technical content that focuses on actually building and the principles of AI coding. To do this, he plans to conduct live streams three times a week (Monday, Thursday, Saturday) where he presents projects like Archon and the Dark Factory experiment and works interactively with the community. He emphasizes that he will continue to cover relevant AI news, but with a focus on practical application and long-term value. The content is aimed at intermediate and advanced users interested in AI coding and systems. The YouTuber explicitly covers Claude and Claude Code.

• AI YouTube Is Only Claude Hype Now
  7.5.2026, 00:01:02

  **Summary:**

  In the video, the creation of a roadmap for the open-source project Archon, a harness builder for AI coding, is presented live. The host begins with an introduction to Archon, which allows AI coding processes to be packaged into workflows and run in parallel across different codebases. Workflows are defined in YAML and can include both agent-based and script-based actions.

  A central theme is the idea of a marketplace for Archon workflows, which should enable users to share and install their own workflows. The host discusses various approaches for implementing this marketplace, including whether workflows should be hosted in separate repositories or integrated directly into the Archon repository. The pros and cons of both approaches are discussed, with security and user-friendliness being central.

  During the video, Archon’s current roadmap is also created and updated, with various features and improvements being added, such as support for the PI coding agent and optimization of the setup process. The host uses Claude Code and other tools to visualize and refine the roadmap.

  **Final Comment:**

  The video explicitly covers open-source tools and models, particularly Claude and Claude Code, and is aimed more at intermediate to advanced users.

• Archon + Jira: Drag a Ticket, Get a Pull Request (Live Build)
  24.5.2026, 04:41:55

  **YouTube Video Summary:**

  This video demonstrates the integration of Archon with Jira. Archon is an open-source tool that serves as an AI coding harness builder and enables packaging software development processes with AI coding assistants into workflows. The focus is on establishing a connection between Archon and Jira so that a separate conversation with Archon can take place in each Jira ticket.

  The process begins with creating a GitHub issue that serves as context for creating a Jira adapter. A PIV system evolution workflow is used, consisting of 12 steps ranging from planning through implementation and validation. The workflow uses various models like Claude Code, Sonnet, and Opus to efficiently handle tasks.

  During the video, several challenges and solutions are discussed, including authentication with Atlassian, setting up webhooks, and adapting the adapter to ensure it communicates correctly with Jira. Various tools and models are also mentioned, including Claude, OpenAI, Gemini, and open-source models.

  At the end of the video, a successful test is performed where Archon responds to a request in a Jira ticket. The adapter is now able to communicate with Jira and respond to requests.

  **Final Comment:**
  The video explicitly covers the use of Claude (Anthropic) and OpenAI models, with a focus on integrating Archon with Jira. It is aimed at intermediate and advanced users who want to familiarize themselves with AI coding assistants and workflow integration.

Nate Herk | AI Automation (10 New Videos)

• What Karpathy Joining Anthropic Actually Means For Claude
  19.5.2026, 21:36:51

  The video discusses the significance of Andre Karpathy joining Anthropic and analyzes why this move is momentous for both Karpathy and Anthropic. Karpathy, a central figure in the modern AI world, has an impressive career, including his role as co-founder of OpenAI and his work at Tesla. His recent projects, such as Eureka Labs and the development of concepts like “Vibe Coding” and “Context Engineering,” showcase his ability not only to develop AI but also to teach how to use it effectively.

  Anthropic has made significant progress recently, particularly with Claude Code, which has become a popular tool for developers and enterprises. Karpathy’s arrival could signal that Anthropic is expanding its strategy by not only improving AI models but also the applications and integration of these models into real workflows. Karpathy’s focus on “Context Engineering” and creating environments that enable AI models to work more effectively aligns well with Anthropic’s approach.

  The video makes three predictions: First, that Anthropic will develop an app store for contexts and workflows. Second, that there will be more features like “/goal” that enable complex tasks to be handled automatically. Third, that Anthropic will create an educational platform to help users package and contribute their own workflows.

  The video explicitly addresses Claude / Anthropic and is geared more toward Intermediate and Advanced users.

• How to Use Your Claude Code Projects in Codex in 5 Mins
  18.5.2026, 19:09:24

  The video shows how to migrate a project from Claude Code to Codex without duplicating it or losing important information. The main difference between the two tools lies in file names and folder structures: Claude Code uses a `cloud.md` file and a `cloud` folder, while Codex uses an `agents.md` file and a `codex` folder as well as an `agents` folder for skills. However, both tools share the same knowledge base such as documents, references, and scripts.

  The author explains that you can use a simple prompt to instruct Codex to create the necessary files and folders and adopt the contents from the Claude Code files. It’s important to note that changes made in the Claude Code files must also be made in the Codex files to ensure consistency. Additionally, the author points out that Codex subagents are not called automatically and there are some differences in tools and commands.

  A practical example shows how Claude Code and Codex can work together to create and style an HTML document. The author recommends using both tools and not limiting yourself to a single tool to remain flexible.

  Final comment: The video explicitly addresses the tools Claude Code and Codex and is geared more toward Intermediate users.

• The AI Career Opportunity Nobody is Talking About in 2026
  17.5.2026, 16:24:10

  The video creator, Nate, discusses an alternative career option in AI, away from the frequently promoted model of starting an AI automation agency. He argues that many companies, particularly large enterprises, are increasingly hiring or have already hired Chief AI Officers (CAIOs), and this presents a great opportunity for people who don’t want to work in sales. Nate references an IBM study showing that 76% of surveyed CEOs either already have a CAIO or want to hire one, representing a significant increase from previous years. He explains that the role of CAIO emerged similarly to the Chief Information Security Officer (CISO) to address a new, urgent need in businesses.

  Nate emphasizes that it’s not just the CAIO role; every department in companies is seeking AI-savvy leaders. He presents two paths to move in this direction: Path A, where you start as an AI consultant or in an agency and are then hired by a company, and Path B, where you build AI knowledge internally in your current job and qualify yourself for promotion. He argues that Path B could be more accessible to many people, as 57% of CAIOs were promoted internally.

  Nate emphasizes the importance of loving what you do, as otherwise you won’t have the necessary stamina and motivation to succeed in this field. He encourages viewers to become the AI-native version of their current role rather than diving into a new field that doesn’t appeal to them. He concludes by saying you don’t need to change your role, but the version of your role that you perform.

  The video explicitly addresses IBM and their studies as well as the role of Chief AI Officer in enterprises. It’s geared more toward Intermediate and Advanced users, as it builds on solid knowledge and experience in the AI field.

• How to Deploy Your Claude Automations (3 Methods)
  15.5.2026, 15:16:02

  The video explains three methods for deploying agents from Anthropic’s Claude Code environment so they run even when the user is not actively using them. The methods are compared using a framework that answers the question of where the agent runs (locally or in the cloud) and how autonomous/agentic it operates.

  1. **Loops:**
  – A simple method where Claude Code is instructed to create a loop that performs a specific task at regular intervals (e.g., every 10 minutes).
  – Uses internal tools like `cron create`, `cron list`, and `cron delete` for scheduling.
  – The loops are session-specific and run either in the desktop app or in the terminal.
  – **Advantages:** No additional setup needed, full agent functionality within the session.
  – **Disadvantages:** The session and computer must be running, maximum runtime of 7 days, fixed intervals with random delay (jitter).

  2. **Desktop Scheduled Tasks and Cloud Routines:**
  – **Desktop Scheduled Tasks:** Run locally on your computer and require the desktop app to stay open.
  – **Cloud Routines:** Run in Anthropic’s cloud and require no active session or running computer.
  – Both methods inject a prompt into a Claude Code session and execute the task.
  – **Advantages:** No additional infrastructure needed, full Claude Code functionality, Cloud Routines can also be triggered via API or GitHub events.
  – **Disadvantages:** Cloud Routines have a minimum of 1 hour between executions, limited number of executions per day (depending on your plan).

  3. **Deployment on Modal or Trigger.dev:**
  – Here a script (Python for Modal, TypeScript for Trigger.dev) is deployed to the respective cloud platform and runs there on a schedule or as an API endpoint.
  – **Advantages:** No need to keep your own computer or a session running, good for deterministic processes.
  – **Disadvantages:** No full agent functionality, AI processing happens via API and is therefore more expensive. Using Claude’s Agent SDK also allows agentic functions but is likewise more expensive.

  Additionally, **Managed Agents** from Anthropic and **Hooks** in Claude Code are briefly mentioned, which can be used for event-triggered automations.

  The video is geared more toward **Intermediate** users who already have experience with Claude Code and agents. It addresses specific tools and providers, including **Claude (Anthropic)**, **Modal**, **Trigger.dev**, and the **Claude Agent SDK**.

• Anthropic Just Dethroned OpenAI. Here's What Happens Next.
  13.5.2026, 21:20:51

  The video discusses the current dynamics in AI-powered coding tools, particularly the competition between OpenAI (Codex) and Anthropic (Claude Code). It begins by noting that Anthropic has overtaken OpenAI in business usage, followed by OpenAI’s counter-move offering companies two months of free Codex usage. Claude Code responded with a 50% increase in weekly usage limits for the next two months. The author interprets these moves as part of a “free trial phase” where companies and users intensively use the tools while providers aim for adoption and data collection. It’s argued that current pricing is not sustainable and that users ultimately provide the valuable training data for AI models. The author advises using current offers to avoid vendor lock-in and remain flexible to potential future changes. Historical patterns in other industries are also referenced, where similar dynamics led to price increases. The concluding comment emphasizes that users should use the tools to avoid committing to a single provider.

  **AI Tools/Models/Providers:** OpenAI (Codex), Anthropic (Claude Code); **Target Audience:** Intermediate to Advanced.

• Every Level of Claude Explained in 21 Minutes
  12.5.2026, 13:59:35

  The video provides a detailed guide to using Claude across five ascending levels: Enthusiast, Beginner, Intermediate, Advanced, and Architect. Each level is defined by specific features and strategies that gradually guide the user from basic applications to complex automations.

  – **Level 1: Enthusiast** – Basic Claude usage for simple tasks like writing emails or explaining content. An important tip is using screenshots, as Claude can read images.
  – **Level 2: Beginner** – Introduction to Projects, which provide context and continuity. Key features include Memory, Connectors (integration with tools like Slack or Google Drive), File Creation (creating Excel files, PowerPoint presentations, etc.), Artifacts (interactive applications), Inline Visuals (visual representations within chats), and Office Add-ins (integration with Microsoft Office).
  – **Level 3: Intermediate** – Using Claude Cowork for tasks on your own computer. Key features include File System Access, Skills (reusable workflows), Scheduled Tasks, Mobile Control (smartphone control), Cloud Design (prototype and presentation design), as well as Plugins and Computer Use (app navigation).
  – **Level 4: Advanced** – Using Claude Code for complex automations and parallel work processes. Key features include claude.md (configuration file), Plan Mode (task planning and execution), Sub Agents (specialized agents), Work Trees (isolated work areas), MCP (Model Context Protocol for tool integration), and various optimization techniques and Custom Commands.
  – **Level 5: Architect** – Creating fully autonomous systems that work even without user interaction. Key features include Cloud Routines (scheduled cloud tasks), Hooks (security-relevant logic), Channels (controlling external platforms), Headless Mode (autonomous task execution), Agent SDK (creating your own products), and Remote Control (session remote control).

  The video emphasizes that the transition to the highest level is less technical than a matter of trusting systems. It’s recommended to start with simple, low-stakes automations and gradually implement more complex systems.

  **Final Comment:** The video explicitly addresses Claude and is geared toward Intermediate to Advanced users.

• Claude Code Just Got an Agent Dashboard
  12.5.2026, 01:06:06

  The video introduces the new “Agent View” feature of Claude Code, which allows managing multiple agent sessions in a single terminal tab. Users can switch between sessions, monitor their status (e.g., “waiting for input,” “completed”), and navigate directly in and out of sessions. This is particularly helpful for developers who previously struggled with many open terminal tabs and cluttered sessions. Control is via arrow keys or clicking, and new sessions can be started with simple commands or direct task descriptions. The video also mentions the new “Goal” feature, which allows setting Claude Code long-term goals that are then pursued autonomously. The video shows how to delete sessions or make inputs directly from the Agent View. It concludes by referencing a course on using Claude Code as your own operating system.

  The video explicitly addresses Claude Code and is geared more toward Intermediate or Advanced users who already have experience using Claude Code or similar tools.

• The Playbook for a $100M AI Agency
  25.5.2026, 16:23:09

  **Video Summary:**

  The video is an interview with Devin Karns, CEO and co-founder of Custom AI Studio, discussing the future of AI agencies and strategies for a successful exit. Here are the key points:

  1. **Market Development and Value of Development**:
  – The value of development trends toward zero as AI systems become more capable.
  – Companies must focus on AI-native organizations to remain competitive.

  2. **Future of AI Agencies**:
  – Many AI projects being sold today won’t survive until 2027.
  – The focus should be on delivering solutions that provide real value to companies, rather than chasing short-term trends.

  3. **Strategies for Successful Exit**:
  – Devin Karns shares his experiences and strategies for building an AI agency with high enterprise value.
  – He emphasizes the importance of relationships, trust, and the ability to understand clients’ true needs.

  4. **Five Things Devin Karns Wishes He’d Known Earlier**:
  – **Pick Your Path**: Decide whether you want to build a lifestyle business or a high-exit-value business.
  – **Package Your Offer**: Develop a clear offering that highlights the value of your services.
  – **Charge Real Value**: Price your services based on the value you deliver, not the time you invest.
  – **Build Your Pipeline Before You Need It**: Establish relationships and a pipeline of potential customers before you really need it.
  – **Hire for the Company You Want to Be**: Hire employees who share your vision and have the skills you need to scale your business.

  5. **Examples and Case Studies**:
  – Devin Karns shares examples of successful projects, such as reducing an e-commerce company’s return rate from 21% to 16%, resulting in significant cost savings.

  **Final Comment**:
  The video explicitly addresses Claude, OpenAI, and open-source models as well as specific tools like Claude Code and Co-Pilot. It’s geared toward Intermediate and Advanced users who already have AI experience and want to scale or optimize their business models.

• The AI Offer You Can Sell Tomorrow Morning
  22.5.2026, 16:37:49

  The YouTuber explains how to build an AI business as a beginner without immediately selling projects or retainers. Instead, he suggests starting by selling hours (consulting) to build trust and overcome imposter syndrome. He describes a stepwise approach, beginning with selling hours (Rung 0), followed by audits (Rung 1), projects (Rung 2), and finally retainers (Rung 3). The YouTuber emphasizes that you should first gain experience and build trust before taking on larger projects. He provides practical tips on how to acquire the first 10 customers by teaching friends and acquaintances, engaging in communities, and gradually building a portfolio. The YouTuber also mentions the importance of reps and experience to overcome imposter syndrome and be successful long-term.

  Final Comment: The video addresses generally available AI tools and models without mentioning specific providers and is geared toward Beginners.

• Give Me 10 Mins and I'll Save You Millions of Claude Tokens
  21.5.2026, 12:58:00

  The video explains the concept of prompt caching in Claude Code and Claude, particularly how it saves tokens and costs. Key points include:

  – **Token Savings**: Cached tokens cost only 10% of normal input costs. For example, the user saves millions of tokens daily through caching.
  – **Cache Window**: The cache duration is one hour by default. In Claude Code, cache is cleared after one hour of inactivity, while with API usage or Sub-Agents it’s only 5 minutes.
  – **Cache Mechanism**: The cache includes system instructions, tool definitions, and project context. Each new message or change (e.g., model switch) can break the cache and results in higher costs.
  – **Practical Tips**: Users should avoid breaks, manually clear cache when switching tasks, and store large documents in projects rather than in the chat.
  – **Tools**: The user provides a token dashboard and a session handoff skill to better manage the cache and save tokens.

  The video is geared more toward Intermediate users who use Claude Code or Claude intensively and want to optimize their token costs. It explicitly addresses Claude and Claude Code.

Ben AI (4 new videos)

• Every Claude Cowork Feature Explained Clearly
  20.5.2026, 10:06:05

  The video offers a comprehensive introduction to using Claude Cowork, a tool that can revolutionize how you and your team work. It starts with an explanation of fundamental concepts and features, divided into three main categories: Memory and Context Concepts, Capabilities and Automation Concepts, and Connectors and MCP Concepts. The focus is on how these concepts can improve efficiency and relevance when working with Claude.

  A central topic is managing Claude’s limited context windows, partially solved through features like global instructions and built-in memory. You’re encouraged to use external files and folders to create persistent context, enabled through features like file access and creation of Clot.MD files. Projects and a centralized “Second Brain” or AIOS (Artificial Intelligence Operating System) are presented as solutions for organizing and accessing context across different projects and teams.

  Claude Cowork’s capabilities, such as code execution, Skills, Skills 2.0 and Evals, as well as scheduled tasks and routines, are explained in detail. These capabilities enable automating repetitive tasks and handling complex tasks more efficiently. Connectors and MCP (Model Context Protocol) are presented as means to connect Claude with external software applications, enabling automation of workflows across various software applications.

  The video concludes with best practices for using Claude Cowork, including selecting the right model for different tasks, optimizing token usage, and deciding when to switch to Claude Code. Tips are also provided for introducing Claude Cowork to a team, including managing permissions and using shared Skills and plugins.

  The video explicitly covers Claude and is better suited for intermediate to advanced users.

• 5 Skills to Build an AI Operating System Like The 1% (Full Guide)
  16.5.2026, 08:48:55

  The video shows how to set up a “Second Brain” or AI operating system to increase efficiency and productivity with AI tools. The author, Ben, emphasizes the importance of a well-structured and maintained system to optimize token costs and provide relevant context. He introduces five Clot Skills to help set up the system quickly and following best practices:

  1. **OS Setup Skill**: Helps with initial setup of the Second Brain, including populating context, structuring folders, and creating Clot.md files that serve as an instruction layer for AI agents.

  2. **OS Operator Skill**: Sets up a scheduled task that pulls real-time context from various sources (e.g., meetings, Slack chats) and updates the Second Brain accordingly. This includes creating daily summaries, task lists, and maintaining existing files.

  3. **OS Optimizer Skill**: Performs regular audits and optimizations to improve the efficiency and token usage of the Second Brain. This includes removing duplicates, correcting formatting, and improving folder structure.

  4. **Team OS Skill**: Enables sharing and synchronizing the Second Brain within a team, including setting up read and write permissions for different team members.

  5. **OS MCP Skill**: Creates an MCP (Managed Connector Proxy) from the Second Brain so scheduled tasks and optimizations can run autonomously, even with your laptop closed.

  The author recommends starting with setting up the Second Brain and expanding it gradually, as the benefits strengthen over time and with increasing context. He offers additional resources and support for those wanting to dive deeper into the topic.

  The video explicitly covers Claude and is better suited for intermediate and advanced users.

• How to Actually Use Claude Design Like a Pro (Real Use Cases)
  12.5.2026, 07:40:42

  The video shows how to use Claude Design efficiently for various design tasks, including presentations, social media content, and websites. The main focus is on a four-step process: First, setting up a comprehensive design system containing colors, fonts, and styles. Second, using templates to predetermine formats and layouts. Third, using Skills to predefine texts and content. Fourth, integrating these elements into Claude Design to quickly create consistent designs. The creator emphasizes that this preparation avoids endless iterations and high token costs. Concrete examples and steps for setting up design systems and templates are shown, as well as using Skills to automate the process. Additionally, free resources and tools are offered to facilitate getting started.

  The video explicitly covers Claude Design and is better suited for intermediate users who already have some experience with AI tools.

• Live Artifacts Just 10x'd Claude Cowork (Real Use Cases)
  27.4.2026, 11:02:09

  The video showcases Claude’s new Live Artifacts feature, which allows you to create personalized dashboards with real-time data from various software tools. The creator shares examples of dashboards he’s built for different business areas, such as marketing, sales, customer support, and competitive analysis. These dashboards pull data from tools like YouTube, Bitly, PostHog, Stripe, and Circle to deliver personalized insights and strategic recommendations. Additionally, users can ask questions about the data through an integrated AI chat function and in some cases execute direct actions, such as drafting and sending messages.

  The benefits of Live Artifacts lie in centralized data display from multiple sources, dashboard personalization, and the ability to integrate AI-powered insights and actions. The creator emphasizes that this feature has the potential to fundamentally change how work is organized and executed by serving as a central interface for data visualization and automation.

  Current limitations include limited ability to execute actions, inability to share dashboards with others, and performance issues when using multiple connectors. The creator demonstrates how to create Live Artifacts by clearly communicating to Claude which data is needed and what actions the AI should perform. He recommends converting existing scheduled tasks into Live Artifacts to increase efficiency.

  Final note: The video explicitly covers Claude and is better suited for intermediate to advanced users.

Brian Casel (8 new videos)

• You don’t need to learn to code anymore
  18.5.2026, 13:30:40

  The video shows how to create your own applications without programming knowledge by using AI as a tool. The focus is on the “spec-driven development” method, where a clear specification (PRD) is created, then divided into milestones and implemented by an AI-coding agent. The process starts with a rough idea that is transformed into a detailed product requirements document (PRD). This document contains all relevant information such as scope, data model, integrations, and features. Subsequently, the PRD is divided into milestones, each representing a completable unit. The creator demonstrates the creation of an invoicing application as an example, using two self-developed tools: “build new” as a starter template and “PRD Creator” as an agent skill that supports the process of PRD creation and division into milestones. The PRD Creator asks questions that an experienced product designer would ask and helps ensure all important details are considered. In the end, you have a clear, written planning document that serves as the foundation for implementation by the AI-coding agent.

  The video explicitly addresses the AI models Claude, Codex, and Gemini as well as the tools Cursor and Resend. It is better suited for intermediate and advanced users, as it assumes viewers already have basic knowledge of using AI tools.

• How I build agents that work the night shift
  12.5.2026, 12:01:07

  The video demonstrates a process the user calls “Radar Scan,” in which multiple AI agents run on a Mac Mini with OpenClaw. One of these agents, named Veil, handles marketing and performs a radar scan daily at 4:00 AM. The result is saved as a markdown file in Dropbox and can be retrieved via a link in Telegram. The file is opened in a self-built app called Brainown, which makes reading and writing markdown files easier. The scan primarily summarizes tweets from the user’s industry that they follow, including posts from companies, influencers, and thought leaders. The user organizes his Telegram contacts into human and agent friends and receives an overview of the report in Telegram, with the option to open the full file in Brainown.

  The user addresses OpenClaw and the self-built app Brainown, which makes the video more interesting for intermediate or advanced users.

• Why You Need Claude Code Server Mode?
  6.5.2026, 14:01:40

  The video shows the evolution of creator Brian Casel’s workflow with AI agents from 2023 to 2026. Initially, he worked manually; from 2024 onwards, he used AI as an extension (e.g., tab completion, chatbots for text); in 2025, AI became a collaborator (specifically Claude Code); and in 2026, he orchestrates multiple agents simultaneously. He emphasizes that the quality of specifications (specs) for agents is critical and that multitasking with agents is now a natural step. The video showcases various tools like Cursor, Claude Code, Superset, and Conductor, which are suitable for agent-based development, with Superset currently being his favorite. He demonstrates how he switches between different worktrees and projects and uses agents on mobile to delegate tasks while pursuing other activities. Additionally, he integrates agents into internal tools like Spark Drop and Brain Down to connect product development and marketing. He uses OpenClaw and Claude Co-Work for automated, recurring tasks. The video concludes by emphasizing that multitasking with agents is the next logical step for builders.

  **Final comment:** The video addresses Claude (specifically Claude Code and Opus), OpenClaw, and tools like Cursor, Superset, and Conductor. It targets intermediate and advanced builders who already have experience with AI agents.

• Why Every AI Coding Tool is Converging on Plan Mode?
  1.5.2026, 14:01:11

  The video covers setting up OpenClaw, a tool for agent teams, and deciding between a cloud VPS or a physical device. The author explains that he chose a new Mac Mini M4, even though cheaper options like a cloud VPS starting at five dollars per month exist. The reasons for this choice are the possibility of screen sharing, visual management, and future requirements for storage and bandwidth. If OpenClaw doesn’t meet expectations, the author plans to use the Mac Mini in his home studio.

  The video addresses OpenClaw and is aimed more at intermediate or advanced users familiar with agent teams and server setups.

• Building a Custom AI News Agent with RSS and Telegram
  29.4.2026, 14:00:14

  The video shows how to create a new GitHub repository via the mobile website and then connect it with the Claude app to generate simple “Hello World” code. The process starts with creating a new repository on GitHub, selecting a template for a Rails app. The repository is then connected in the Claude app by authorizing repository access rights in GitHub. Claude generates simple “Hello World” code and creates a pull request that can be merged into the new repository.

  The video explicitly addresses GitHub and the Claude app and is suited more for intermediate users.

• Multitasking With Agents: My 2026 Workflow
  29.4.2026, 12:01:10

  The video compares the AI platforms Claude and OpenClaw regarding their suitability for building business processes. Claude is described as trustworthy and mature, particularly for creative and strategic tasks. OpenClaw, on the other hand, is portrayed as immature but innovative, with shortcomings in setup, documentation, and reliability. Despite these weaknesses, OpenClaw has advanced the concept of agent hiring and could play a significant role in the long term. The choice of platform depends on priorities: trust and maturity (Claude) or innovation and potential (OpenClaw).

  The video explicitly addresses Claude and OpenClaw and targets intermediate and advanced users who want to use AI tools for business purposes.

• VPS vs Mac Mini for OpenClaw
  28.4.2026, 14:00:18

  The video discusses the suitability of Claude Design for real work processes in product development. The author tests two main use cases: first, creating a new T-shirt marketplace, finding that while Claude Design generates appealing mockups, integration into an existing codebase and further development are problematic. Second, expanding an existing website with a design system analyzed from a GitHub repository. Here too, he sees difficulties in practical implementation. Instead, he prefers working directly in Claude Code with a self-created design system integrated into the codebase. However, the author identifies two meaningful use cases for Claude Design: as a visual planning tool in the early ideation phase for new products and for creating marketing assets like animations and presentations that match brand identity. He emphasizes that Claude Design is not suitable as a continuous tool from idea to finished product, but can be useful in specific phases and applications. The video explicitly addresses Claude Design and Claude Code and is aimed at intermediate to advanced users with experience in AI-assisted product development.

  The video explicitly addresses Claude Design and Claude Code and is aimed at intermediate to advanced users who already have experience with AI-assisted product development.

• I’m Using Claude Design for This — Not App Building
  22.5.2026, 14:00:32

  In the video, the speaker presents two concrete use cases for Claude Design. The first use case is creating animations for his YouTube videos. He shows an example of a test animation that is high-quality and aligned with the Builder Methods brand. These animations are intended for use in future videos to visually support complex topics. The second use case is creating presentation slides for conferences and workshops. He creates a test slide collection that also maintains brand designs and offers high-quality, clean layouts. He particularly highlights the integrated speaker notes feature, which allows him to design his presentations more efficiently.

  The video explicitly addresses the tool Claude Design and is aimed more at intermediate and advanced users.

Melvynx (10 new videos)

• NEW: The command that lasts longer than you 🍆
  20.5.2026, 16:00:23

  The video introduces the new “Slash Goal” feature in Codex and Cloud Code, which allows an agent to work on a task without stopping until it’s completed. Users can define a goal that the agent then verifies and ensures is achieved. For example, you can instruct the agent to make all tests pass or fix all TypeScript and ESLint errors without cheating or disabling rules. The agent continues working until the goal is reached and automatically verifies this. The feature is particularly useful for tasks that are easily verifiable, such as optimizing tests or refactoring code. Users can track the agent’s progress and manually intervene if needed. The video also demonstrates how to use “Slash Goal” in various scenarios and what advantages it offers compared to traditional methods.

  The video explicitly covers Codex and Cloud Code and is aimed at intermediate to advanced users.

• Codex: control your computer and your VPS with your iPhone
  19.5.2026, 16:00:15

  The video demonstrates Codex integration, an OpenAI tool, with mobile devices, particularly iPhones, and its advantages over earlier solutions like Cloud Remote Control. The creator shows how to connect an iPhone with the Codex app and gain remote access to various devices and services. This includes SSH connections to VPS (Virtual Private Servers), controlling a Mac, and continuing chats across different devices. Particular emphasis is given to sending commands to a VPS from the iPhone to automate or control tasks. The creator highlights the user-friendliness and efficiency of the integration, which allows working without complicated additional setup. The video also demonstrates accessing additional plugins via VPN that aren’t available in certain regions.

  The video explicitly covers OpenAI (Codex) and is aimed at intermediate to advanced users who already have experience with remote access and VPS usage.

• Confession of a workaholic in SEOUL
  19.5.2026, 07:00:31

  The video showcases the YouTuber’s workspace and emphasizes the importance of ergonomic setup for productivity. He recommends placing the monitor at eye level to avoid physical discomfort, using a tripod for this purpose. His setup consists of a single monitor, an Apple keyboard, and a Logitech mouse. The YouTuber works in a space he rented through the Stitch Creator program and praises the benefits of this platform. He mentions that on this day he produced three videos without leaving the room and highlights the efficiency of his workspace.

  The YouTuber doesn’t cover specific AI tools or models; the video is aimed at intermediate or advanced users interested in productivity and workspace optimization.

• Antigravity 2.0: the WORST copy I’ve ever seen?
  25.5.2026, 16:00:06

  The video introduces Antigravity 2.0, a new Google tool heavily inspired by other AI-powered developer tools like Codex. The creator compares Antigravity 2.0’s user interface and features with Codex, finding that many elements are directly copied, which he considers normal in the competitive AI industry. Despite these similarities, he tests the tool and demonstrates its features, including Gemini model integration and project creation and management capabilities. However, he criticizes the user experience, particularly the frequent permission requests and unstable IDE, which he describes as poorly designed and error-prone. He also compares the performance of Gemini models with other providers, finding they don’t reach the top tier for coding tasks. Overall, he considers Antigravity 2.0 a functional but unremarkable tool that Google could significantly improve with more effort and better design.

  The video explicitly covers Google’s Antigravity 2.0, Codex, and Gemini models and is aimed at intermediate or advanced users.

• Developers are in love with Claude (and stop wanting to test new things)
  24.5.2026, 16:00:34

  The video’s author reflects on his personal development in using AI tools, particularly Claude and Codex (OpenAI). He admits he was once “in love” with Claude and overestimated its capabilities while criticizing OpenAI. Through experience with high costs and limited options with Claude, he recognized Codex’s advantages, particularly its superior user interface and efficiency. He emphasizes the importance of being pragmatic and flexible to switch between different tools as needed. The author has reorganized his configurations to easily switch between tools like Claude, Codex, and Cursor. He recommends choosing the best tools based on their current capabilities and costs, warning against becoming emotionally attached to a specific tool. He concludes by encouraging viewers to use his configurations and tools to become more flexible.

  The video explicitly covers Claude (Anthropic) and Codex (OpenAI) and is aimed at intermediate to advanced users.

• What I’ve been preparing since Seoul…
  24.5.2026, 07:00:38

  The video shows the speaker’s excitement about an upcoming trip to San Francisco, motivated by several goals. Primarily, he wants to immerse himself in the heart of the AI world, as he’s enthusiastic about companies like Claude, OpenAI, and Gemini and could discuss their developments daily. He sees San Francisco as the ideal place to benefit from the dynamic AI scene and network with like-minded people. Beyond the professional focus, he also pursues personal goals, such as meeting new people, experiencing American culture, and improving his English skills. The speaker plans to document these experiences in vlogs to share with his viewers.

  The video explicitly covers Claude, OpenAI, and Gemini and is suited for intermediate and advanced users interested in the AI industry.

• Codex can CONTROL your computer (even when it’s locked)
  23.5.2026, 16:00:14

  The video introduces several new features and updates for Codex, an AI tool mainly used for programming and automation. Here are the key points:

  1. **Screenshot function with keyboard shortcut**: By pressing “Command + Command,” you can insert a screenshot of the current application into the Codex chat. This facilitates debugging and working with various applications as context is transferred directly to the chat. However, there’s no option to open the screenshot in a new chat, which somewhat limits its usage.

  2. **Integration of Gal (Goals)**: The “slashgal” function enables creating and managing goals directly in the Codex application. You can create, edit, pause, view, or delete goals. Codex can also independently create goals when given appropriate instructions.

  3. **Inupp Browser**: This feature allows opening and managing browser tabs directly in Codex. You can take screenshots, add annotations, and change styles. However, the user experience is somewhat rough, as the application frequently reloads.

  4. **Computer Use**: A new function that allows controlling your Mac even when locked via the iOS app. This is still in beta and doesn’t always work reliably, but shows the potential to let your computer work even in your absence.

  The video explicitly covers AI tools Codex and Claude and is aimed at intermediate to advanced users who already have experience with AI tools.

• AI changes all the time
  23.5.2026, 07:02:11

  The YouTuber responds to a comment in which he addresses criticism of his content direction. He explains that as a solo builder and YouTuber, he can afford to constantly test new tools, while his viewers don’t have to. He emphasizes that it’s developers’ responsibility to sensibly decide which tools to use. He admits he often reports with excessive enthusiasm about new tools because it works well for YouTube and matches his personality. However, he stresses that he considers his viewers intelligent and trusts them to decide for themselves whether a tool is suitable. He criticizes other YouTubers who underestimate their viewers and emphasizes that he is maximalist and direct in his approach.

  The video doesn’t cover specific AI tools or models and is aimed at intermediate and advanced users.

• How to one-shot all your features with AI (make it work for 2 hours non-stop)
  21.5.2026, 16:00:44

  The video demonstrates a detailed workflow for implementing complex features using AI tools like Claude and Codex. The process begins with an intensive brainstorming phase where the user describes ideas and requirements in detail. A plan is then created and repeatedly verified to ensure all aspects of the feature vision are considered. The actual implementation process is performed with the Apex Skill, which allows AI models to work in multiple steps and self-correct. An important part of the workflow is using the “Verify” parameter, which prompts AI to check its own actions and ensure everything functions correctly. The user also shows how to work with tools like Dev Browser CLI or integrated browsers in Cloud or Codex to verify and correct the implementation. The user concludes by emphasizing the importance of precision and iteration for successfully implementing complex features.

  The video explicitly covers Claude, Codex, and specific tools like Apex and Dev Browser CLI and is aimed at intermediate to advanced users.

• Is it possible to finish my Seoul trip without wagyu?
  21.5.2026, 07:00:16

  The video criticizes the preparation of wagyu meat at a restaurant. The speaker complains that the meat was overcooked and didn’t have the desired “medium rare” doneness. He explains that due to the small pieces, the meat was cooked too long and became very hard and dry. The seasoning is also criticized, as only large salt pieces were used without adding pepper. The mushrooms are described as good, but again the over-cooking is faulted. The speaker regrets that the fat-rich meat’s quality wasn’t showcased due to excessive cooking. He decides to prepare the meat himself according to his preferences and translates his wishes into Korean to ensure he gets the desired result next time.

  The video doesn’t cover specific AI tools or models and is aimed at intermediate users as it focuses on detailed culinary criticism and preferences.

Dave Ebbelaar (4 new videos)

• The Complete Guide to Hybrid Search in RAG (BM25 + Embeddings + Reranker)
  14.5.2026, 17:52:50

  This video is a detailed tutorial showing how to build a hybrid retrieval system from scratch that combines BM25, dense embeddings, reciprocal rank fusion (RRF), and a reranker. The focus is on creating a production-ready system that will be relevant in 2026. The tutorial begins by explaining the dataset used, the Financial QA dataset, which is part of the BEIR benchmarks. This dataset contains financial questions and corresponding answers used to evaluate the retrieval system.

  The tutorial walks through the process of creating BM25 and dense embedding indices, performing queries, and combining results with RRF. A reranker is then added to further improve the results. The tutorial emphasizes the importance of evaluation and shows how to measure system performance using normalized discounted cumulative gain (NDCG).

  At the end, it explains how to apply the system to your own projects, including creating your own evaluation dataset. The tutorial is designed for developers and engineers who already have foundational knowledge of retrieval systems and want to use them professionally.

  Final comment: The video covers OpenAI (for embedding models) and Cohere (for the reranker) and is suited for intermediate to advanced users.

• Building Agentic RAG From Scratch in Pure Python
  10.5.2026, 09:57:56

  This video shows how to build an agentic RAG (Retrieval-Augmented Generation) system from scratch in pure Python. The focus is on making enterprise data or private information accessible to large language models for AI automation. The author, Dave Abalar, explains the differences between classical semantic RAG and agentic RAG, where the latter outperforms the former through a feedback loop and repeated use of the language model’s intelligence.

  The system is built in several steps: First, simple tools are defined that can list, search, and read files. These tools work with Markdown files in the file system. The author shows how to implement these tools in Python, including using regular expressions to search for patterns in files. Next, a simple agent is created with these tools that can answer questions about the contents of Markdown files. The agent uses the tools in a loop to find the right information and correct itself.

  The author also covers production best practices, such as using Rust-based tools like ripgrep for faster and more secure file searching, as well as implementing error messages that can be interpreted by the language model to improve the agent. He shows how to deploy the system in different environments like VPS, container apps, or serverless functions.

  At the end of the video, a complete example of an agentic RAG system in Python is presented that follows production best practices and can be deployed in real-world projects.

  The video covers OpenAI and is suited for intermediate to advanced users.

• If I Started AI Freelancing in 2026, I'd Do This
  4.5.2026, 15:15:23

  **Summary:**

  The video content describes a three-stage framework that the author calls the “Data Freelancer Blueprint” for succeeding as a freelancer in AI and data. The three stages are:

  1. **Get Going:**
  – Overcome psychological barriers and start with simple but useful projects that are often considered “boring,” such as data automation or reporting.
  – Build three end-to-end projects that you can demonstrate and learn how to integrate and deploy code into real systems.
  – Update your LinkedIn profile to clearly communicate what problems you can solve.

  2. **Getting Paid:**
  – Determine your hourly rate through research.
  – Use your network for warm introductions and conversations with decision makers.
  – After the conversation, create a detailed project proposal with milestones, deliverables, and a cost estimate.

  3. **Get Good:**
  – Focus on improving leads, sales, and delivery.
  – Build long-term contracts to secure stable income.
  – Use various channels like LinkedIn, YouTube, and freelance platforms to generate leads.

  The author emphasizes that freelancing in tech is a safe and lucrative way to start a business and encourages viewers to take the first step.

  **Final comment:**
  The video covers tools like N8N and Airtable (low-code/no-code solutions) as well as Python and TypeScript (custom code solutions) and is aimed at intermediate and advanced freelancers looking to enter or expand their business in the AI and data space.

• Your Pip Install Is a Backdoor – Fix This Now!
  21.5.2026, 13:28:18

  This video addresses the growing threat of supply chain attacks on Python projects and provides three practical tips to protect against them. Supply chain attacks often occur through compromised packages in package managers like npm or pip that contain malicious code and can steal sensitive data such as SSH keys or API keys. Recent examples include attacks on Tanstack and Mistral AI. The tips for securing your system are:

  1. **Switch to UV**: Use UV instead of pip as it provides more security settings.
  2. **Versioning and time windows**: Use `atbounds exact` in the `pyproject.toml` file to pin exact package versions and set `exclude newer` to, for example, 7 days to only install verified packages.
  3. **Using `uv sync –lock`**: Run `uv sync –lock` to ensure that only packages in the lock file are installed and to avoid conflicts.

  Additionally, it’s recommended to instruct AI agents not to add new packages without explicit permission and instead manually implement functionality to minimize dependencies.

  **Final comment**: The video covers UV and is suited for intermediate to advanced Python developers.

Niklas Steenfatt (2 new videos)

• OpenClaw für Dummies
  26.4.2026, 18:21:37

  The video shows step-by-step how to set up your own OpenCore AI assistant, starting with installation on a Hostinger server through connecting various tools to setting up email and Google services. The creator recommends treating the assistant like a new employee and granting it only the necessary access to minimize security risks. Tools like Tavily for internet research, Notion for databases, and Deepgram for voice message integration are presented. The video also explains how to set up recurring tasks and Subagents as well as how to keep costs in check. For advanced users, there are tips on troubleshooting and using the command line.

  The video explicitly covers OpenCore, Hostinger, Anthropic, Tavily, Notion, Deepgram, Google Cloud, Excalidraw, and ChatGPT and is more suitable for Intermediate to Advanced users.

• LIFE UPDATE!!!!
  24.5.2026, 20:09:03

  The video shows the YouTuber’s marriage proposal to his girlfriend in the desert during South Africa’s Burning Man event. He shares his emotions and his girlfriend’s surprise as she accepts the proposal. The YouTuber reflects on the significance of choosing a partner from 8 billion people and the criteria that play a role in this decision. He emphasizes that physical and emotional chemistry is more important than shared interests, and that long-term relationships require work. He also discusses the cool factor and the importance of open communication in relationships. The YouTuber recommends couples therapy and honest conversations to build a stable and happy partnership. He shares his personal journey and how he moved from initial doubts to a confident decision. At the end, he promotes the crypto broker Kraken and offers a bonus for new users.

  Final comment: The video does not cover specific AI tools or models and is more suitable for Intermediate and Advanced audiences as it shares in-depth personal reflections and life experiences.

Fireship (6 new videos)

• Google’s AI endgame is here… everything you missed at I/O 2026
  22.5.2026, 16:38:42

  The video summarizes the key announcements from Google I/O 2026. Google places its Gemini model at the center and integrates it into nearly all products, from Search to Gmail to Android. The keynote emphasized the vision of using Gemini as an “AI-Agent” across various applications. Gemini Omni was also introduced, a model capable of processing different inputs and generating different outputs. Google presented Gemini Flash 3.5, a fast model that can nearly keep up with Opus 4.7 and GPT-5.5. The Anti-Gravity IDE, formerly Windserve, was presented as an AI-coding tool that developed an operating system in a live demo and ran Doom. Another highlight was the introduction of the HTML on Canvas API for web developers, allowing them to use HTML elements directly in a canvas. The video also mentions rising costs for Gemini 3.5 Flash and the massive scaling of Google’s infrastructure.

  The video explicitly covers Google’s Gemini models, TPU chips, Anti-Gravity IDE, and the HTML on Canvas API, and is aimed more at intermediate and advanced developers and tech enthusiasts.

• I can’t believe this trial is real…
  15.5.2026, 18:51:21

  The video offers a humorous look at futuristic technologies from 2026, including an AI-powered smart toilet, intelligent hair-cutting machines, and an AI pocket pet. The focus, however, is on OpenClaw, a personal AI assistant system that has made waves since its release in January 2026. The creator demonstrates how to host and configure OpenClaw on a virtual private server from Hostinger to solve specific problems, such as answering family inquiries in one’s own voice. The process includes setting up a Telegram bot, integrating 11 Labs for voice generation, and configuring tools to generate automated responses.

  The video explicitly covers OpenClaw and Hostinger and is aimed more at intermediate users, as it includes technical steps for setting up and configuring an AI assistant system.

• A single PR just hijacked the NPM registry…
  14.5.2026, 17:39:11

  The video introduces Claude Design, a new AI-powered platform by Anthropic based on the Opus 4.7 model that transforms Figma designs into interactive prototypes, pitch decks, and production-ready UIs. The AI can process high-resolution images and offers advanced features like interactive animations, design variations, and even video editing. The video demonstrates creating an iOS onboarding flow for a fictional app called “Horse Tinder,” where the AI provides a good starting point but doesn’t always apply the design system correctly. Despite some limitations, Claude Design shows promising capabilities that could revolutionize traditional design tools and processes.

  The video explicitly covers Anthropic’s Claude Design and Opus 4.7 as well as Google Cloud Run, and is aimed more at intermediate and advanced users.

• Every operating system concept in one video…
  7.5.2026, 17:32:34

  The video explains in detail how an operating system works from the moment the power button is pressed until shutdown. It begins with the bootloader, which loads the operating system, then moves to privilege rings, which separate kernel and application rights. Virtual memory is described as a system that allows multiple applications to run in parallel without interfering with each other. The kernel builds the file system, loads device drivers, and enables interrupts, allowing the system to respond to input. The kernel then starts the first process (PID1), which is the ancestor of all other processes. System calls enable applications to communicate with the kernel, and the scheduler manages CPU time for the many processes. Threads allow applications to perform multiple tasks simultaneously, and inter-process communication (IPC) allows different processes to communicate safely. Finally, the shutdown process is described, where all processes are terminated and the system shuts down safely.

  The video generally covers operating systems and their components without naming specific tools or vendors, and is suited more for intermediate or advanced viewers.

• 732 bytes of Python just borked every Linux machine on earth…
  4.5.2026, 18:40:40

  The video discusses a critical security vulnerability in the Linux kernel, referred to as “copy fail” (CVE-2023-31431), which has existed since 2017 and was discovered by an AI tool. The vulnerability allows a local user to gain root access by writing four bytes to the page cache of a read-only file. All Linux distributions updated after 2017 are affected. The vulnerability was exploited through a Python script using the ONC ESN protocol and the AF_AGL interface. Although the vulnerability is not remotely exploitable, systems should be updated urgently. The video also mentions the role of AI in discovering security vulnerabilities and promotes Code Rabbit, an AI tool for improving code quality.

  The video explicitly covers AI tools like the AI agent tool used by Theori and Code Rabbit, and is aimed at intermediate to advanced users.

• GitHub is having some major issues right now…
  30.4.2026, 16:37:31

  The video “It’s 10 p.m. Do you know where your children are?” from The Code Report addresses the current problems and challenges facing GitHub, the primary platform for software development. It notes that GitHub has recently experienced massive reliability issues, including frequent outages, vanishing pull requests, and broken search functionality. The creator attributes this to increasing strain from AI agents using the platform as a free resource. An example is given of Mitchell Hashimoto, creator of tools like Vagrant and Terraform, who removed his open-source projects from GitHub after struggling with outages for months. The video also mentions alternatives like GitLab, Codeberg, and Source Hut as potential fallbacks. In conclusion, it emphasizes that despite GitHub’s problems, developers still have many options for hosting their projects.

  The video covers GitHub and Microsoft and is aimed more at intermediate and advanced developers.

Julian Ivanov | AI Automation (9 new videos)

• Use Claude Code for free: Unlimited coding without a powerful PC
  20.5.2026, 13:41:18

  The video shows how to use Claude Code for free by connecting it with free language models from Open Router. Claude Code is a kind of “harness” that connects various AI models with tools and files, and normally runs with paid models like Sonnet, Opus, or High from Anthropic. By connecting to Open Router, however, you can access free models like GPT OSS, Minimax M2.5, or Deepseek V4 Flash. The setup requires creating an API key at Open Router and configuring a settings.json file in Claude Code. The user can then choose between various free models and use Claude Code without additional costs, as long as no sensitive data is processed. It’s important to note that the free models from Open Router have strict rate limits, which can be increased by crediting $10 to the Open Router account without actually incurring costs.

  The video explicitly covers Claude, Open Router, and specific models like GPT OSS, Minimax M2.5, and Deepseek V4 Flash and is more suitable for intermediate users.

• Use Claude Code 24/7 from anywhere #claudecode #claude #claudeai
  16.5.2026, 13:23:32

  The video shows how to use the Cloud Code app on your phone to manage projects like building and hosting a website without needing your computer to be on. The user gives commands via voice input, and the cloud executes them, such as changing a website’s color palette. The video demonstrates simple interaction and shows how to configure the cloud so it completes tasks independently without requiring user intervention. At the end, the finished, live-hosted website is displayed in the browser.

  The video explicitly covers the Cloud Code app and is more suitable for intermediate users.

• Let Claude Code work for you from your phone (Remote Control)
  16.5.2026, 13:23:09

  The video shows how to install Claude Code from Anthropic on a server and control it via the Remote Control feature with your phone to work on projects from anywhere. The user demonstrates how to create a website, deploy it on a server, and continue editing it via phone without having to sit at your PC all the time. Various commands like `Remote Control`, `Set a Goal`, and `Loop` are explained, which allow you to assign Claude Code tasks that are executed automatically until a specific goal is reached or at regular intervals. The user uses a server from Hostinger where Claude Code is pre-installed and shows how to set up DNS records for a domain to take the created website live. At the end, two useful commands are introduced: `Slash Goal` to instruct Claude Code to complete a task until a certain condition is met, and `Slash Loop` to have Claude Code perform a specific action at regular intervals.

  The video explicitly covers Claude (Claude Code) and is more suitable for intermediate users.

• I hired Claude Code as my video editor
  11.5.2026, 17:02:17

  The video shows how to edit videos using AI tools like Claude Code, Hyperframes, and Claude Design without using editing software. The process involves three main tools: Videouse, Hyperframes, and Claude Design. Videouse cuts the video based on the transcript created via 11 Labs. Hyperframes generates animations and motion graphics based on HTML, CSS, and JavaScript. Claude Design allows you to create animations and designs in the browser without writing code and integrates branding. The workflow is explained step by step, including tool setup and usage. It demonstrates how to cut a video, add animations, and render the final result in 4K. The video is suitable for intermediate users who want to use AI tools like Claude Code, Hyperframes, and Claude Design.

• These 20 Claude Code tricks save you hours
  7.5.2026, 19:15:23

  The video presents 20 tricks and best practices for effective use of Claude Code, designed to help in various work situations. Key tips include:

  1. **Use planning mode**: Create a plan before starting a project or making major changes and discuss it with Claude to avoid misunderstandings.
  2. **Ask questions**: Ask Claude for clarification before it starts work to ensure all details are clear.
  3. **Discuss instead of command**: Treat Claude as a sparring partner and present problems openly rather than dictating solutions.
  4. **Autoaccept mode and permissions file**: Use autoaccept mode for more efficient work and create a permissions file to restrict access to sensitive files.
  5. **Use voice input**: Enter long prompts via voice input to save time and better communicate context.
  6. **Slashinit for project onboarding**: Use the Slashinit command to quickly onboard Claude to a project and create project memory.
  7. **Maintain Claude MDI**: Actively maintain the Claude MDI file and store important information there to give Claude relevant info in each session.
  8. **Emergency stop and rewind**: Use the Escape key to stop or reset Claude if something goes wrong.
  9. **File mentions as shortcut**: Reference files directly in the chat to make it easier for Claude to access important information.
  10. **Use screenshots**: Use images or screenshots to better explain designs or layouts.
  11. **Self-checking**: Instruct Claude to review its own work to avoid correction loops.
  12. **One task per session**: Work on only one task per chat to avoid overloading the context window.
  13. **Use /context command**: Check the context status to see what’s filling the context window and free up space.
  14. **Slashcompact and Slclear**: Summarize the context window with Slashcompact or clear it with Slclear to free up space.
  15. **Custom Skills**: Outsource regular tasks to Skills so Claude doesn’t have to be re-explained each time.
  16. **Use different models for different tasks**: Use different models (HighQ, Sonnet, Opus) depending on task complexity.
  17. **Hooks for notifications**: Use hooks to be notified when Claude has completed a task.
  18. **Subagents and agent teams**: Use subagents for token-intensive tasks and agent teams for complex, parallel work.
  19. **Ultraathink keyword**: Use the keyword “Ultraathink” for difficult problems to give Claude more time to think.
  20. **Use worktrees**: Use worktrees for parallel work on different features of a project to avoid conflicts.

  The video explicitly covers Claude (Claude Code) and is more suitable for intermediate users.

• Claude Code has never been this easy!
  3.5.2026, 15:26:48

  The video presents the latest updates to Anthropic’s Claude Code Desktop App, which has significantly improved the use of Claude Code. Claude Code is a tool that runs on your own computer and has access to a folder to create, read, and execute files. Previously, Claude Code could only be used in a limited way in the Desktop App, but the update now enables much more comprehensive use. Users can now work directly with Claude Code in the Desktop App, view, edit files, and even preview the created apps. The video shows how to create a flashcard app by giving Claude Code access to a folder and then describing the app. Claude Code plans and creates the app automatically, allowing the user to accept or adjust the plan. The Desktop App now also offers an auto mode in which Claude Code executes commands that aren’t dangerous and only asks for permission for riskier commands. Additionally, the user can view the created files, edit them, and even open the terminal to execute additional commands. The video also shows how to use multiple sessions simultaneously and what limitations still exist, such as displaying images and PDF files. Overall, the Desktop App now offers much better overview and functionality for using Claude Code.

  The video explicitly covers Anthropic’s Claude Code and is more suitable for intermediate users.

• Look into the future with this AI swarm intelligence (MiroFish)
  26.4.2026, 14:04:17

  The video presents the open-source project **Mirofisch**, a tool for simulating social dynamics with AI agents. The 20-year-old developer from China created a platform within 10 days that allows you to create virtual people with their own personalities, opinions, and behaviors who interact in a simulated world. Mirofisch uses uploaded context data (e.g., market research reports, product information) and simulates reactions to events like price increases or product launches. The simulation runs in five phases: creating a knowledge graph, generating virtual personas, simulating social media interactions, analyzing results, and deep interaction with agents. The video demonstrates Mirofisch using a fictional app called “Mealmate” that automates meal planning for families. The simulation shows how different target groups react to the product, including price acceptance and potential improvements. The creator also explains how to install and configure Mirofisch locally or on a virtual server, including using OpenAI models and the Z-Cloud database.

  **AI Tools/Models/Providers:** OpenAI (GPT-4, GPT-4.1 Mini), Z-Cloud, Claude Code, Hostinger, Open-Source (Mirofisch) – more suitable for intermediate users.

• Simulate the future with AI #aiagents #ki #ai
  26.4.2026, 14:05:04

  The video presents the open-source project **Mirofisch**, which creates a simulated world with hundreds of AI agents that interact with each other. Each agent has its own personality, opinion, and biography. The user uploads context material, asks a question (e.g., about reactions to a price increase or new ad campaign), and Mirofisch generates virtual people and organizations discussing that question. At the end, you get a detailed report and can communicate directly with each agent. The video shows a demo with a SAS product idea and explains how to set up Mirofisch yourself in 2 minutes.

  The video explicitly covers the open-source tool **Mirofisch** and is more suitable for **intermediate** users.

• Build & publish apps with Claude Code — Beginner tutorial
  24.5.2026, 15:43:12

  The video shows step by step how beginners can develop a web application with Claude Code and deploy it on a server in Germany. The webapp includes logins, user accounts, and a database. Claude Code handles programming and database setup completely while the user only needs to provide instructions. As an example, a habit tracking app is created that includes user management, database, and various views. Required tools are Claude Code (Anthropic), Supabase (database), and Hostinger (hosting). Claude Code is used in the Cloud Desktop App, the database is set up with Supabase, and hosting is done via Hostinger with Node.js web hosting. The app is developed locally, the code is uploaded to GitHub, and then deployed on the server. The app is then accessible via its own domain on the internet. The video is suitable for beginners.

  AI Tools/Models/Providers covered: Claude Code (Anthropic), Supabase, Hostinger, GitHub.

Mark Kashef (7 new videos)

• How to Use /goal to Build a Self-Improving OS
  17.5.2026, 15:30:23

  The video introduces the new “/goal” function in Codecs and Cloud Code, which can be used beyond technical tasks for optimizing agentic operating systems (Agentic OS). The creator demonstrates five practical use cases: “Clean” (removing unused skills and rules), “Sharpen” (improving skills based on specified criteria), “Revive” (bringing abandoned projects back to life), “Forge” (extracting recurring prompts into new skills), and “Maintain” (automated system maintenance). The video explains how the function works through a goal specification and a separate evaluation agent. The creator demonstrates the application with concrete examples and emphasizes the potential to make your own work environment more efficient.

  The video explicitly covers the /goal function in Cloud Code and is aimed at intermediate or advanced users who are already familiar with agentic systems.

• Why 90% of Your Claude Skills Are Dead Weight
  13.5.2026, 20:00:29

  The video addresses the challenges and best practices for using skills in Claude Code. The creator criticizes how many users accumulate too many unnecessary or even harmful skills that impact performance. He explains that skills consume tokens and can overload context windows, leading to inefficient and error-prone interactions. The creator presents eight tips for optimizing skills:

  1. **Run it cold**: Test whether a vague prompt triggers the right skill.
  2. **Check the budget**: Ensure that the description is precise but not too lengthy.
  3. **Ask user input tool**: Integrate a questionnaire to confirm the skill has all necessary information.
  4. **Copy-related rules**: Build in rules for tonality and formatting when the skill works with text.
  5. **Rate the skill**: Have users rate the skill and request improvements.
  6. **Wrong primitive**: Check whether the skill is the right tool for the task or if it should be implemented as a rule or CLI command instead.
  7. **Audit with Claude Code Guide Agent**: Use a predefined prompt to systematically audit and optimize skills.

  The creator emphasizes the importance of progressive disclosure and good user experience to make skills efficient and user-friendly. He also shows how to consolidate and test skills to avoid redundancy and improve performance.

  **Final note:** The video explicitly covers Claude from Anthropic and is aimed at intermediate users who already have experience with skills in Claude Code.

• Build Your Agentic OS Better Than The 99%
  9.5.2026, 20:00:14

  The video covers the practical implementation and optimization of agentic operating systems (Agentic OS) like Open Claw, Hermes, or Claude Code to deliver real business value. The focus is on the often-neglected “heavy lifting” behind the scenes that’s necessary to effectively deploy such systems. The creator emphasizes the importance of data readiness and organization before focusing on dashboards or nice-to-have features.

  Key points include the use of skills (both project-specific and global), hooks (event-based automation), and Claude MDs (as central control documents). The creator introduces a tool called “Skill/Silver Platter” that helps organize and summarize data to enhance the analytical capabilities of agents. Tactical tips are also provided on how to effectively leverage integrations and APIs to optimize systems.

  The video presents three case studies (Marco, Sally, and Dr. Sana Anwar) that illustrate how the described methods can be applied across different industries and business models. The creator emphasizes the importance of strategically deploying agents and continuously improving them, much like training and developing employees in a company.

  At the end, the “Skill/Silver Platter” tool is offered for download and a course is referenced that dives deeper into the subject matter.

  The video explicitly covers Claude Code and is aimed at intermediate to advanced users who already have some experience with agentic systems.

• This Claude Code Setup Runs My Entire Business
  3.5.2026, 19:00:21

  The video showcases a detailed demonstration of a custom-built AI Operating System (AIOS) that the creator uses to run his business. The system consists of a variety of agents, each covering specific tasks and areas of expertise. The core of the system is a “Hive Mind” that serves as a shared memory state and visualizes agent activities and knowledge. The creator shows various views and features of the system, including 3D and 2D graphical displays, a list of all tasks, and a “War Room” function for interacting with agents via text and voice.

  A practical example is the use of a meta-agent connected to the Meta Command Line Interface to analyze advertising performance and generate reports. The system also enables task automation and reminder creation. The creator emphasizes that the system is built on solid data organization and that implementation requires time and iteration. He offers resources and a carbon-copy version of his system accessible via a link in the video description.

  Final note: The video explicitly covers Claude, OpenAI (Cloud Code), Gemini, and specific tools like Telegram, Discord, Slack, Loom, and SQLite. It is aimed at intermediate and advanced users.

• You Can Make Claude + Codex Plan Together. Here's How.
  28.4.2026, 19:00:35

  The video introduces a tool called “Claudeex” that automates collaboration between Claude Code and Codeex to create detailed and well-thought-out project plans. The process involves multiple rounds in which Claude Code creates a plan and Codeex reviews it, identifies errors, and suggests improvements. Claude Code incorporates these suggestions and the process repeats until a specified number of rounds is completed. The tool also offers features like “/review” for manual review, “/cancel” to abort the process, and “/rollback” to fully reset. A practical example shows how Claudeex is used to create a detailed plan for building a specialized website that tracks user activity. The comparison between a plan created with Claude Code alone and one created with Claudeex demonstrates the improved detail and robustness of the latter.

  The video explicitly covers Claude Code and Codeex and is aimed at intermediate or advanced users who already have experience with these tools.

• You Can Run Claude AND Codex Together. Here's How.
  26.4.2026, 19:30:32

  The video demonstrates how to combine the strengths of AI models Claude Code and Codex to achieve better results. An OpenAI plugin is introduced that enables using Codex as a kind of “sidekick” for Claude Code. The creator explains that each model has its own strengths and weaknesses and that combining both models leads to better outcomes. The plugin offers various commands such as code review, adversarial review, and code rescue, which allow you to review and improve Claude Code’s code. The creator demonstrates using the plugin in various scenarios, such as reviewing an existing codebase, planning new features, and checking code before deployment. He emphasizes that combining both models leads to more efficient and effective development.

  Final note: The video explicitly covers Claude Code, Codex, and OpenAI and is aimed at intermediate to advanced users.

• How to INSTANTLY Run ANY Skill in Claude + Codex
  21.5.2026, 16:15:16

  The video discusses the differences and similarities between AI code providers Claude Code and Codex. It notes that both providers have similar capabilities but feature different designs and mechanics, which complicates creating and converting skills between the two platforms. The main focus is on introducing a universal “PolySkill” skill that serves as an adapter to convert skills between Claude Code and Codex. The process involves installing and converting skills through simple commands, enabling seamless two-way communication between providers. The skill is designed to be easily extensible to support future providers like Gemini.

  The video explicitly covers Claude Code and Codex and is aimed at intermediate users who already have experience with these AI tools.

Everlast AI (10 new videos)

• AI Researcher: Forget ChatGPT, THIS is the next breakthrough! World models explained (Daniel Cremers)
  19.5.2026, 15:15:29

  The video is an interview with Professor Dr. Daniel Cremers, a leading expert in artificial intelligence and computer vision. Cremers discusses AI development, particularly the breakthrough in image classification in 2015, which he believes was more significant than the successes of AlphaGo and ChatGPT. He emphasizes the importance of world models, which enable spatial understanding of the world, and distinguishes these from multimodal language models. Cremers sees major applications for world models in areas such as autonomous driving, robotics, defense, and personalized medicine.

  He criticizes the current focus on national LLM and foundation models and advocates instead for a diversity of approaches and the development of new methods. Cremers emphasizes the importance of energy efficiency in AI and the need to learn from humans to develop more energy-efficient algorithms. He sees the future in robotics and the integration of AI tools into everyday life to make life easier for people.

  The video explicitly discusses AI tools and models from DeepMind (AlphaFold), Nvidia (GPUs), and Google (TPUs), as well as the importance of open-source and research initiatives. It is intended more for intermediate and advanced viewers seeking a deeper understanding of AI development and its applications.

• AI News: THIS comes AFTER AI agents! Claude is BACK, Codex in ChatGPT & BCI Interview
  17.5.2026, 08:15:32

  The video covers several current developments and trends in the field of artificial intelligence (AI) and humanoid robots. Here are the main points:

  1. **AI Model Updates**:
  – **Claude**: Usage limits increased by 50% and introduction of a new agent view that allows managing multiple agents in parallel.
  – **OpenAI**: Integration of Codex into the ChatGPT Mobile App, enabling remote control of Codex on the desktop and completing tasks from a mobile phone.
  – **Thinking Machine Labs**: Launch of a new model optimized for multimodal input (audio, text, image, video) that can make tool calls during conversations.

  2. **Humanoid Robots**:
  – **Figure**: Confirmation of design lock for the next generation of the Figure F04 and livestream of a fully autonomous 8-hour shift of Figure 3.
  – **Unitree**: Introduction of a real-world drivable mecha and the Unistore, an app store for humanoid robots.

  3. **AI in Business**:
  – **Anthropic**: Surpasses OpenAI in business adoption and receives investment offers valuing the company at over 900 billion dollars.
  – **OpenAI**: Founding of the OpenAI Deployment Company to help enterprises implement AI technologies.
  – **Claude for Small Businesses**: Introduction of a collection of skills and MCP connectors for small businesses.

  4. **Research and Future of AI**:
  – **Professor Dr. Thorsten Zander**: Discusses challenges of AI models, particularly the lack of true world understanding and empathy. He introduces passive brain-computer interfaces (BCIs) as a potential solution.
  – **Google IO**: Expectations for the biggest Google event of the year, including the presentation of Gemini Spark, a 24/7 agent that autonomously handles tasks.

  5. **AI Business Ideas and Tools**:
  – **Browser Use and Kimy Web Bridge**: Tools that enable the use of proactive agents in the browser and automate tasks.
  – **Make CLI**: Introduction of a command-line interface for the Make automation platform.
  – **Augustus**: A bank optimized for the AI era, designed for agent-initiated workflows.

  6. **Social Experiment**:
  – An experiment shows that even experts cannot always distinguish between AI-generated and real human works, underscoring the importance of quality seals.

  The video explicitly discusses AI models and tools from Claude, OpenAI, Thinking Machine Labs, Browser Use, Kimy, Make, and Augustus. It is intended more for intermediate and advanced users as it covers in-depth technical and economic aspects of AI development.

• China insider speaks out: There is NO turning back! THIS is rolling toward us until 2030 (Jörg Wuttke)
  14.5.2026, 15:15:38

  The video provides deep insights into China’s current economic and political situation, particularly in the context of innovation, technology, and demographic challenges. Here are the key points:

  1. **Innovation and Overcapacity**: China has a deep pool of engineers and leads in many areas such as AI, humanoid robotics, energy, and e-cars. However, China systematically produces overcapacity, leading to deflation and economic problems. This is because state-owned enterprises do not disappear from the market even when they are not profitable.

  2. **Demographic Challenges**: China is aging rapidly and has a low birth rate. The population is expected to decline to around 500 million by 2060. This leads to a shortage of labor, which China aims to offset through the use of AI and robotics.

  3. **Technological Independence**: China strives to become independent from Western technologies, particularly in the semiconductor sector. This is a response to the restrictive policies of the USA, which limit the export of high-tech to China.

  4. **Export Pressure**: Due to overcapacity and weak domestic consumption, China relies on exports. This leads to strong competitive pressure in global markets, particularly in Africa, South America, and Southeast Asia.

  5. **Political and Economic Strategies**: China relies on long-term plans, such as the 15-year plan, to achieve its goals. However, there are also internal challenges, such as aging population and migration from rural areas to cities.

  6. **Corporate Strategies**: Chinese companies are more risk-taking and closer to customers than their Western competitors. This enables faster development and adaptation to market needs.

  7. **Geopolitical Implications**: Demographic and economic changes in China will significantly influence the global geopolitical landscape. Africa will gain in importance as a supplier, while China loses influence.

  The video is more suitable for intermediate and advanced viewers as it addresses complex economic and political relationships. No specific AI tools or models are discussed, but rather general trends and strategies.

• AI Experts react: THIS everyone is missing! Musk’s Claude deal, China’s robot pressure & EU scraps AI Act
  12.5.2026, 15:15:26

  The video is a discussion about current developments and trends in artificial intelligence (AI), technology, and the future. The participants are Professor Dr. Andreas Moring, Professor Dr. Pero Mitic, and Kim Isenberg, discussing various aspects of AI usage, robotics, automation, and their effects on society and the economy.

  **Main Topics and Points:**

  1. **AI Models and Infrastructure:**
  – **Anthropic and Elon Musk:** Anthropic now uses Elon Musk’s data centers (Colossus 1 and 2) for its AI models. This is seen as a strategic move, as Musk needs to rent out his computing power so it doesn’t sit idle.
  – **Gemini and Apple:** Apple relies on Google Gemini for Siri after negotiations with Anthropic failed. This shows that Apple doesn’t necessarily need the best AI model, but one that’s good enough for the mass market.
  – **Humanoid Robots:** Boston Dynamics shows progress in robotics, particularly with the Atlas robot, which can perform complex movements. This underscores the importance of robotics in production, logistics, and service.

  2. **Economic and Political Aspects:**
  – **China vs. Europe/USA:** China is far ahead in many areas of technology and infrastructure, particularly in robotics and AI. Europe, on the other hand, struggles to keep up, both due to political decisions and economic challenges.
  – **Job Losses from AI:** Companies like Coinbase, PayPal, and Cloudflare are laying off employees and citing AI adoption as the reason. It is debated whether these are actually AI-driven layoffs or whether economic difficulties are the real cause.
  – **Regulation and Data Protection:** The EU is discussing stricter regulations, such as banning VPNs for child protection. This is viewed critically as it is considered a restriction of freedom.

  3. **Healthcare and AI:**
  – **AI in Healthcare:** Google presents studies showing that AI diagnoses are often better than those of doctors. This could revolutionize the healthcare sector but also raises questions about self-perception and dependence on technology.

  4. **Education and Future Readiness:**
  – **Educational Systems:** It is emphasized that schools and universities must change to promote judgment and critical thinking rather than just conveying information.
  – **Investments in AI:** Companies should invest in AI to remain competitive. This includes developing their own AI-powered applications and utilizing platforms like Cloud Code.

  **Concluding Remark:**
  The video explicitly discusses models and providers such as Claude, OpenAI, Gemini, and open-source solutions. It is aimed at an advanced audience already familiar with AI and technology seeking deeper insights.

• AI News: Claude improves in ITS SLEEP! Musk saves Anthropic, Codex & GPT-Realtime Updates
  10.5.2026, 08:15:10

  The video covers several current developments and updates in the field of artificial intelligence and agentic coding. Here are the key points:

  1. **Elon Musk’s SpaceX Deal with Anthropic**: The deal doubles the 5-hour usage limit in Cloud Code, while weekly limits remain unchanged. This is part of a partnership in which Anthropic runs cloud models on SpaceX’s Colossus-1 supercomputer.

  2. **Gemma 4**: Google’s open-source model is now three times faster thanks to multitoken prediction (MTP Drafter). It can be used in Cloud Code, though with performance limitations.

  3. **Cloud Managed Agents**: Updates include multient sessions, webhook integration, and the new “Dreaming” feature, which addresses the memory problem of agents. This feature was discussed with Vincent Pistor from Cogni, a startup specializing in agent memory.

  4. **Gemini Updates**: Google Gemini receives new features such as skills and scheduled actions. Additionally, Gemini 3.1 Flashlight has been made publicly available, a cost-effective model for high-volume tasks.

  5. **Codex Cloud vs. Cloud Code**: Codex Cloud has dramatically caught up in downloads and offers new features such as a Chrome extension for browser automation.

  6. **Comparison of Remotion and Hyper Frames**: Both tools enable the creation of videos and animations via text prompt. Hyper Frames offers faster entry and more reliable results, while Remotion is better suited for scaling.

  7. **OpenAI’s Realtime 2 Model**: This model is designed for agentic tasks and enables better integration into software and user interfaces. It’s the engine behind ChatGPT’s Advanced Voice Mode.

  8. **AI Business Idea of the Week**: The app store is recording a dramatic increase in apps, which is attributed to the growing importance of agentic coding. Companies like Mercedes use agents to streamline their IT infrastructure.

  The video explicitly discusses OpenAI, Gemini, Cloud Managed Agents, Codex, Remotion, Hyper Frames, and specific tools like Cogni. It is aimed at intermediate and advanced users who want to stay up to date with the latest developments in the AI world.

• “You’ll be in for quite a surprise” Robotics professor on China, humanoids & the future
  7.5.2026, 15:15:00

  The video is an interview with Alexander von Everlast AI about the current state and future of humanoid robotics, with a focus on the robot assistant Gami from TU Munich. Main topics include exponential developments in robotics, the integration of Visual Language Action Models (VLAs), challenges in robot manipulation and sensitivity, as well as ethical and legal questions regarding the liability of AI systems. Alexander emphasizes the importance of design and interaction design for the acceptance of robots in society and discusses the role of open source and proprietary solutions in robotics. He sees major progress in simulation and collective learning of robots but warns of challenges in securing and liability. The video explicitly addresses models and providers such as Nvidia (Omniverse, Kosmos) and emphasizes the importance of basic research and industrial application. It is more suitable for intermediate and advanced viewers as it contains in-depth technical and ethical discussions.

  Closing remark: The video explicitly discusses Nvidia (Omniverse, Kosmos) and is more suitable for intermediate and advanced viewers.

• Robotics expert: Forget humanoid robots! THIS is what will really happen (Dr. Hendrik Susemihl)
  6.5.2026, 15:15:00

  The video is an interview with Dr. Hendrik Susemihl, founder of Goodbites, a company that develops fully autonomous robot kitchens. Goodbites produces over 50,000 meals daily and won the Robotics Award 2026 at the Hannover Messe. The company supplies autonomous robot kitchens to the US Army and is the global leader in this field.

  Hendrik Susemihl discusses the importance of Physical AI, which gives AI a physical body, and how this will fundamentally change our daily lives. He explains why cooking is harder to automate than factory work and how Goodbites won the US Army as a customer. He also discusses Germany’s role in the global robotics race and emphasizes the need for risk-taking thinking and fast action to keep up with the competition from the USA and China.

  Susemihl highlights that while Germany is technologically leading, it lacks the ability to build global companies. He emphasizes the importance of speed and experimental spirit, as well as the need for risk-taking thinking to keep up in the competition. He sees the biggest mistakes of German companies in being too passive and not experimenting enough.

  In summary, the video discusses the importance of Physical AI and Germany’s role in the global robotics race. It emphasizes the need for risk-taking thinking and fast action to keep up in the competition.

  The video explicitly discusses specific tools and providers such as Goodbites and is more suitable for intermediate and advanced viewers.

• Don’t use Codex UNTIL you’ve watched this video! (The ChatGPT SuperApp)
  5.5.2026, 15:15:00

  The video presents 34 tips and tricks for using Codex, a new SuperApp from OpenAI that is intended to replace ChatGPT. Here are the key points:

  1. **Basics**: Codex can be used like ChatGPT but offers additional features such as direct access to local folders and files.
  2. **How it works**: Codex can directly access local folders and edit files, which is a major advantage over ChatGPT.
  3. **Excel tables**: Codex can create and edit Excel tables directly in local folders.
  4. **Design customization**: The Codex interface can be customized to individual needs, including font size, color scheme, and typeface.
  5. **Skills and plugins**: Codex offers various skills and plugins that extend functionality, such as creating Word documents and PDFs.
  6. **Subagents**: Codex can use multiple subagents simultaneously to handle complex tasks and manage context.
  7. **Browser and computer use**: Codex can control the browser and local applications, making it easier to automate tasks.
  8. **Automations**: Codex can set up automations to handle recurring tasks.
  9. **Chronicle Research Preview**: A feature that builds memories and context based on daily workflows.
  10. **Open Source**: Codex is open source, allowing users to add additional features.

  The video is aimed at intermediate users and explicitly discusses Codex, OpenAI, and specific tools such as Remotion and Paper.

• Gemini 3.5: EVERYONE is missing THIS problem & what “Omni” can REALLY do! (+AI Act Update Interview)
  24.5.2026, 08:15:20

  The video summarizes the major updates from Google IO, including:

  1. **Gemini 3.5 Flash**: A new model that is leading according to benchmarks but is considered disappointing due to high costs and limited use cases. It is more expensive than its predecessor and performs worse on programming tasks than other models like OPUS 4.7 and GPT 5.5.

  2. **Gemini Omni**: A new multimodal AI model for video editing that is integrated into the Gemini app. It allows editing videos through chat commands and offers high accuracy, though so far only for AI-generated videos.

  3. **Gemini Spark**: Google’s answer to personal AI agents that can access the entire Google ecosystem. Currently in beta and only available in the USA.

  4. **Antigravity 2.0**: An update that replaces the open-source Gemini CLI and is now offered as a closed-source version. Critics point out bugs and missing features.

  5. **Android app creation**: Android apps can now be created with a single prompt via Google AI Studio, which is particularly interesting for beginners.

  6. **Google Search**: The biggest update in 25 years, expanding the search bar with AI-powered recommendations and multimodal content. SEO remains important, but user behavior is changing.

  7. **Smart Glasses**: New smart glasses in collaboration with Samsung, offering Gemini integration and multimodal features.

  8. **AI Watermark**: Google expands the AI watermark Synti to search and Chrome to mark AI-generated content. OpenAI and other providers are adopting the standard.

  9. **Legal Updates**: The EU’s AI omnibus brings relief for SMEs and shifts deadlines, while training obligations are eliminated. The digital omnibus also covers GDPR topics.

  10. **SpaceX and Cursor**: Cursor is working with SpaceX on a new model and has released Composer 2.5. OpenAI is offering guaranteed compute capacity.

  The video explicitly discusses Google (Gemini, Antigravity, Smart Glasses), OpenAI (Codex, guaranteed compute capacity), and specific tools like Cursor. It is more suitable for intermediate and advanced users.

• Debate: “Humanity should be abolished!” Where is AI really taking us?
  21.5.2026, 15:15:00

  **Summary of the YouTube Video:**

  The video shows a discussion between philosopher and author Gwendolin Weitkirch and AI researcher and cognitive scientist Dr. Joscha Bach. The main topics are consciousness, AI, transhumanism, and the future of humanity.

  **Key Points:**

  1. **Consciousness and AI:**
  – Gwendolin Weitkirch argues that consciousness cannot be transferred to machines because it is an ontological property of living systems.
  – Joscha Bach, on the other hand, posits that consciousness as an emergent phenomenon can arise in complex systems, including machines.

  2. **Transhumanism vs. Humanism:**
  – Weitkirch advocates for a “complete humanist” approach that places human connection and relationships between people at the center.
  – Bach emphasizes the necessity of technological progress, including AI, to solve human problems, but warns of the risks and ethics of such technologies.

  3. **Nietzsche and Modern Society:**
  – The discussion touches on Nietzsche’s philosophy, particularly his statement “God is dead” and the search for meaning in a secular world.
  – Weitkirch and Bach debate the role of love, ethics, and spiritual search in modern society.

  4. **Future of Humanity:**
  – Weitkirch sees the solution in a “humanization” and the strengthening of human connections.
  – Bach emphasizes the importance of education, science, and the search for common goals to shape a sustainable and peaceful future.

  **Closing Remark:**
  The video explicitly discusses models and providers from Claude / OpenAI / Gemini / open-source, as well as specific tools such as Cursor, Lovable, Cline, n8n. It is more suitable for intermediate and advanced viewers as it contains in-depth philosophical and technical discussions.

No Priors: AI, Machine Learning, Tech, & Startups (8 new videos)

• Pax Silica: Inside the Trump Administration’s Tech Strategy with Jacob Helberg
  14.5.2026, 10:01:32

  The video is an interview with Jacob Helberg, Under Secretary of State for Economic Affairs, about the “Pax Silica” initiative. This initiative is an economic security coalition aimed at securing the AI supply chains of the US and its allies. Helberg explains that Pax Silica pursues an ecosystem-based approach and already encompasses 14 countries. A central project is establishing a “forward-deployed industrial base” in the Philippines, where 4,000 hectares of land are to be used for industrial development. This zone is intended to offer a combination of American legal systems and Philippine industrial advantages.

  Helberg emphasizes the importance of collaboration with the private sector, as the US does not want to rely on state-operated supply chains. Instead, the initiative aims to create commercially viable platforms that can function independently of the state. The initiative seeks to reduce dependence on China and diversify supply chains, particularly in areas like robotics and rare earths.

  The video also addresses the differences between the American strategy and China’s Belt and Road Initiative, with Helberg highlighting the advantages of the American approach, which relies on partnerships with the private sector and ethical business practices. He emphasizes the importance of innovation and the role of private capital in solving supply chain problems.

  The video is more suited for Intermediate and Advanced audiences and does not address specific AI tools or models, but rather focuses on political and economic strategies.

• Amex Global Business Travel: The World’s First AI Take Private with Long Lake CEO Alexander Taubman
  11.5.2026, 10:01:04

  **Summary:**

  Long Lake Management, a company specializing in acquiring and transforming companies through AI, recently announced its intention to acquire American Express Global Business Travel (AmEx GBT) for $6.3 billion. This would be the first AI-driven acquisition of a publicly traded company. Long Lake has already acquired 30 companies and transformed them with its Nexus AI platform. This platform automates workflows, improves employee productivity, and drives company growth.

  Alex Topman, CEO of Long Lake, explains that the Nexus platform shares approximately 80% of infrastructure across various industries and can be deployed within days of an acquisition. This leads to immediate margin increases and growth. Long Lake does not focus on cost reduction, but rather on growth and customer experience. Through AI-powered automation, employees can serve more customers, resulting in higher organic growth rates.

  Topman emphasizes that Long Lake doesn’t just sell software; it acquires companies to build deeper business relationships and achieve better results. This enables closer collaboration between employees and engineers, leading to better solutions and faster innovation. Long Lake aims to be the best employer in every industry it operates in, thereby attracting talented employees.

  The acquisition of AmEx GBT is an example of Long Lake’s long-term strategy to acquire companies and hold them for the long term rather than selling them quickly. Topman views AI as a positive-sum game that benefits both employees and customers.

  **Concluding Comment:**
  The video addresses Long Lake Management and its Nexus AI platform, which is used to transform companies. It is more suited for Intermediate and Advanced audiences, as it focuses on complex business strategies and AI applications.

• Cheaper AI Does the Opposite of What You’d Expect
  6.5.2026, 13:06:28

  The video discusses the effects of cost reductions on demand for artificial intelligence (AI) and its efficiency. The main idea is that lowering the cost of AI models increases demand, as both consumers and developers integrate more intelligence into their applications. Consumers strive for the best answers and experiences, while developers build in more intelligence when AI models are cheaper. This leads to longer and more complex AI agents that provide better user experiences. Ultimately, this results in higher revenues and more investment in AI.

  The video explicitly addresses AI models in general and is aimed at an Intermediate audience.

• Baseten CEO Tuhin Srivastava on Custom Models, and Building the Inference Cloud
  1.5.2026, 15:07:25

  The video is a conversation with Tuhin Srivastava, founder and CEO of Baseten, an AI inference cloud. The main topics are capacity constraints for AI compute, the importance of inference, the development of workloads, the future of open-source models, and scaling Baseten.

  Tuhin Srivastava explains that demand for AI inference has grown significantly as companies deploy AI in more and more areas. He emphasizes the importance of the application layer, which is protected through specific workflows and user signals that only certain companies can gather. He sees a great future for AI applications, both for new companies and for enterprises using AI in-house.

  Another focus is the development of open-source models. Srivastava emphasizes that customers want the best models and that cost optimization comes after capability. He views the use of open-source models from China positively but warns against dependence on a single vendor and emphasizes the need for the US to develop its own open-source models.

  Srivastava also discusses challenges in procuring compute capacity and the strategic importance of inference. He emphasizes the importance of the software layer for the stickiness of inference services and the need to close the loop between inference and post-training.

  He also mentions the importance of multi-chip worlds and the need to understand the workloads to invest in, such as code agents and long-horizon agents.

  Concluding Comment: The video explicitly addresses open-source models and specific tools like Bridge, Cursor, and Open Evidence. It is more suited for Intermediate and Advanced audiences.

• AI Replacing Jobs is the Wrong Narrative
  29.4.2026, 18:16:32

  The video discusses the impact of AI tools like Codex and Cloud Code on the world of work, particularly in finance shared service centers. The argument is made that these tools will elevate the work of developers and other professionals to a higher level. Rather than writing much code themselves, they will increasingly take on tasks like supervision, providing feedback, code reviews, and planning future requirements. Every role and level will be “upleveled” by delegating daily routine tasks to AI agents. The focus shifts toward more strategic and creative activities.

  The video explicitly addresses AI tools like Codex and Cloud Code and is aimed at Intermediate and Advanced audiences.

• AI Is About to Create Industries You Can’t See
  25.5.2026, 01:13:34

  The video discusses the impact of fast artificial intelligence (AI) on the business world, similar to Netflix’s development. Originally a DVD rental service, Netflix became a streaming service and later a film studio due to increasing internet speeds. This transformation shows how speed enables new business models and fundamental productivity leaps. Currently, AI is replacing visible areas like programming, design, and SaaS tools, but in the future, it will drive deeper changes by reorganizing business processes. The speaker expresses anticipation for these developments, as they promise new opportunities and efficiency improvements.

  The video addresses generic AI developments without specific tools or models and is aimed at an Intermediate audience.

• Slow AI Is Dead
  22.5.2026, 22:55:49

  The video discusses the importance of speed when using technologies, particularly in the context of AI-powered tools. The speaker argues that slow load times or inference times are unacceptable once a technology is used daily in the workplace. He compares this to the market development of dial-up internet and emphasizes that speed is a decisive factor for product success. The speaker mentions that they had the right timing in 2025 to launch a fast AI tool and were successful despite initial skepticism. He emphasizes that radical improvements require fundamentally different design.

  The video addresses general principles of technology development and is more suited for Intermediate or Advanced users who deal with the challenges and successes of introducing new technologies.

• The Story Behind Cerebras’ $63 Billion IPO with Founder and CEO Andrew Feldman
  21.5.2026, 10:00:35

  The video is an interview with Andrew Feldman, co-founder and CEO of Cerebras, a company specializing in fast AI workloads. Cerebras recently went public with a market capitalization of approximately $63 billion. Feldman discusses the company’s development, the importance of speed in AI, and the future of the industry.

  Cerebras has specialized in fast inference for AI models and is, according to Feldman, 15 to 20 times faster than GPUs. The company recently secured major deals with OpenAI and AWS, resulting in enormous demand. Feldman emphasizes that speed in AI is crucial once models are intelligent enough to be used in daily work life.

  He also discusses the challenges the company faced in its early years, including industry skepticism toward its unique architecture. Feldman emphasizes the importance of risk-taking and the ability to think outside the mainstream to achieve breakthrough progress.

  Feldman also discusses the importance of open source and how it has advanced the AI industry. He sees the future of AI in creating new business models and fundamental productivity leaps, similar to what happened with the introduction of the internet and cloud computing.

  The video explicitly addresses Cerebras, OpenAI, AWS, Cursor, Cognition, and Lovable. It is more suited for Intermediate and Advanced audiences, as it delves deeply into the technical and business aspects of the AI industry.

Nic Conley (1 new video)

• How I’d Actually Sell AI to Small Businesses in 2026 (Twin.so Tutorial)
  19.5.2026, 15:56:56

  The video introduces the Twin tool, which is promoted as particularly useful for building AI agents. The creator demonstrates how to create AI agents for various business processes with Twin without requiring deep technical knowledge. Three concrete use cases are demonstrated:

  1. **Facebook Marketplace Monitoring Bot**: An agent that searches daily for affordable lawn mowers near the user and sends an email with the results. The agent uses integrated tools like Appify and Perplexity to complete the task without requiring the user to set up separate APIs or subscriptions.

  2. **AI Readiness Quiz**: A questionnaire that helps small businesses assess how prepared they are for implementing AI technologies. The agent creates a personalized report with recommendations for suitable AI tools and saves the results for the user.

  3. **Cash Buyer Builder**: An agent that searches county deeds for recent cash purchases to create a list of potential buyers for real estate investors. The agent collects contact information and displays it in a dashboard.

  The creator emphasizes the simplicity and efficiency of Twin, as it requires no complex setup processes and already has many tools and integrations built-in. He sees great potential in offering such agents to small businesses and building a business around it.

  **Final Note**: The video focuses explicitly on the Twin tool and is intended more for intermediate and advanced users.

Tech With Tim (10 new videos)

• Every great AI engineer is a software engineer first 💻
  20.5.2026, 23:32:37

  The video addresses the neglect of fundamental software engineering principles by aspiring AI engineers. Many jump directly into working with AI without first learning to write clean code or acquiring basic software development skills. While they can hack together simple scripts for API calls, these are often unstructured, lacking task management, version control, or clear architecture. When deploying, they encounter massive problems. According to the video, AI engineering is merely a specialization within software engineering, not an entirely new field. The bulk of the work consists of traditional software engineering that happens to interact with AI models. This includes setting up APIs, backend services, writing tests, code reviews, and managing deployments. Without clean Python code, Git knowledge, and experience structuring projects, you’ll hit walls and won’t be able to create anything useful.

  The video doesn’t address specific AI tools or models and is aimed at intermediate-level listeners who already have some experience with AI but still need to improve fundamental software engineering skills.

• Stop jumping straight into building and spend 10 minutes planning first 🧠
  19.5.2026, 19:17:02

  The video addresses the neglect of the Software Development Life Cycle (SDLC) in modern software development. Many developers skip fundamental phases like planning, user story creation, requirements analysis, and technology stack decisions, jumping straight into development. This often leads to problems when it becomes clear the chosen architecture isn’t suitable for future features. The speaker emphasizes the importance of investing time in upfront planning and asking yourself the questions you’d ask an external developer before starting implementation.

  The focus lies on the significance of planning and the fundamental phases of SDLC to avoid long-term problems. The video is aimed at developers who want quick results but are skipping the basic steps of software development.

  Final comment: The video addresses general principles of software development and is more intended for intermediate and advanced developers who already have experience with rapid development cycles.

• The best people at using AI are not always the most technical ones 🤯
  25.5.2026, 19:09:00

  The video discusses how non-technical people often handle AI more effectively because they don’t overcomplicate things or over-engineer solutions. They use creative and unconventional approaches that sometimes don’t make logical sense but still work. The randomness in AI models means different people using similar methods can achieve different results. The speaker emphasizes that the community’s collective willingness to experiment helps determine best practices. Unlike the objective evaluation of code, there are no clear benchmarks for AI workflows to say which is better.

  General AI models and approaches are discussed without mentioning specific tools; more intended for intermediate and advanced users.

• The same AI engineering job can pay half the salary depending on where you work 🤯
  24.5.2026, 22:02:43

  The video addresses salary differences for professionals in generative AI and machine learning, focusing on specialization and location. Specialists in generative AI and LLMs (Large Language Models) tend to earn more than general machine learning engineers. The highest salaries are paid in the USA, particularly in tech hubs like the San Francisco Bay Area, Seattle, and New York City. In Europe and Canada, salaries are significantly lower, often about half compared to US salaries. Location plays a crucial role in salary even for remote jobs if the company’s headquarters are in the USA.

  The video explicitly addresses salary differences across regions and the importance of specialization without mentioning specific AI tools or models. It’s aimed at intermediate and advanced professionals wanting to learn about compensation structures in the tech industry.

• Senior AI engineers are making $400,000 plus in total compensation right now 🤯
  24.5.2026, 02:15:45

  The video discusses salaries for machine learning engineers with over seven years of experience, particularly in the USA. Base salaries range from $200,000 to $312,000 per year, with total compensation significantly higher due to bonuses, stock options, and other benefits. At companies like OpenAI, top engineers with PhDs, publications, and extensive experience can earn over $900,000 annually. At this level, responsibilities are more diverse and include model development, system design, team leadership, hiring, and strategic decisions.

  The video explicitly mentions OpenAI and is aimed at intermediate and advanced professionals.

• How I would learn Python programming FAST (If I could start over)
  23.5.2026, 13:00:36

  The YouTube video title is “How to Learn Python: The Exact Path I’d Follow If I Was Starting Today”. The creator, who has been writing Python for over ten years and has taught millions of people programming, presents an optimized learning path for Python that he would choose today to make rapid progress. He emphasizes that he made the mistake early on of learning too many topics at once, wasting valuable time. Instead, he recommends mastering the fundamentals and then specializing in one area.

  The learning path consists of six steps:
  1. **Core fundamentals**: Variables, data types, control flow, functions, data structures, file I/O, error handling. The goal is to write small programs (100-200 lines) without constantly referencing guides.
  2. **Object-oriented programming (OOP)**: Classes, objects, inheritance, dunder methods. OOP helps organize code better and understand Python at a deeper level.
  3. **Modules, packages, and virtual environments**: Import statements, pip, virtual environments, reading documentation, using built-in modules like `random`, `os`, and `json`.
  4. **Choose a direction and dive deep**: Web development (Django, Flask, FastAPI), data science (machine learning, NumPy, Pandas), automation and scripting, backend development. It’s important to choose one area and study it intensively for 3-6 months.
  5. **Projects**: Complete small projects slightly above your current skill level. Upload projects to GitHub to save them for the future and use for your resume or portfolio.
  6. **Things nobody tells you**: Read others’ code, use debuggers, write tests, use Git properly, get comfortable with the terminal. These skills distinguish hobbyist programmers from professionals.

  The creator emphasizes that while Python is easy to learn, it requires time and practice to truly master it. The demand for Python developers, especially in AI and data science, is high, and the investment pays off. He concludes with advice to specialize in one area to make quick progress and become employable.

  **Final comment**: The video doesn’t address specific AI tools or providers and is more suitable for beginner and intermediate Python learners.

• Stop learning everything at once and go deep in one area first 🎯
  22.5.2026, 14:45:01

  The video emphasizes the importance of focusing on one specific area in AI development rather than learning many topics simultaneously. The speaker warns against getting distracted by hype topics and recommends understanding one concept deeply before moving to the next. An example is given of a friend who specialized in computer vision and became successful because of it. The core message is that you should gain in-depth knowledge and practical experience in one area before moving to other topics.

  The video addresses general learning principles in AI development and is aimed at intermediate learners.

• I Built the Same App With Claude Code and Codex
  22.5.2026, 13:00:14

  The video compares the AI tools Claude Code and Codex (GPT-5.5) by building a complex application: a real-time collaborative markdown editor with features like split-pane, real-time synchronization, cursor presence, and document management. The comparison is based on four criteria: speed, cost, end result, and code quality.

  **Speed and cost:**
  – Claude Code was faster for most tasks, while Codex took longer but also automatically performed more functions and testing.
  – Codex was more cost-efficient as it consumed fewer tokens and used the subscription more slowly.

  **End result:**
  – Both tools delivered similar, functional results, with Codex spending slightly more time on verification and bug fixes.
  – Claude Code occasionally had minor bugs that needed manual fixes.

  **Code quality:**
  – Both codebases were generally good, but Codex generated slightly more modular and readable code.
  – Claude Code had more inline comments and direct API calls within components, which was seen as less clean.
  – Both tools were asked to evaluate the other’s code, with Codex identifying improvement potential in Claude Code’s code and vice versa.

  **Conclusion:**
  – Claude Code is better for rapid prototypes and creating applications from scratch.
  – Codex is better for complex applications, debugging, and testing as it works more proactively and thoroughly.
  – Both tools have their strengths and should be used depending on the task.

  **Final comment:**
  The video explicitly addresses Claude (Anthropic) and Codex (OpenAI) and is intended for intermediate to advanced users who already have experience with AI tools and programming.

• You should be spending 80% of your time building and 20% watching tutorials 🚀
  21.5.2026, 21:30:01

  The video addresses the problem of “tutorial hell”, particularly in AI development where the field is evolving very rapidly. The main point is that merely watching tutorials often isn’t enough to gain actual knowledge. The speaker emphasizes that you should spend only 20% of your time consuming content, while the remaining 80% should be spent actively writing code, building, and working on your own. It’s recommended to watch a tutorial and then try to recreate it yourself, spending five times as much time as the tutorial itself.

  The video is aimed at intermediate and advanced users who already have basic knowledge in AI development and want to improve further. No specific AI tools or models are addressed.

• The Complete Guide to AI Agents in 2026 (And How to Actually Use Them)
  21.5.2026, 13:00:34

  The video explains the four levels of using AI agents in 2026 and shows how to effectively use them to boost productivity. The levels include:

  1. **AI chat (Level 1)**: Simple questions and answers, similar to ChatGPT or Claude. Users must copy and use the results themselves. Example: Summarizing SaaS pricing trends for 2026.

  2. **AI tools (Level 2)**: Specific tasks like creating presentations, documents, or images. Users initiate the tasks, but AI produces finished results. Example: Creating a pitch deck presentation for a customer.

  3. **AI workflows (Level 3)**: Automated processes where AI performs multiple tasks in a chain. Users only need to set up the workflow once, and AI executes it automatically. Example: A daily morning briefing workflow that summarizes emails, calendar, and priorities.

  4. **AI agents (Level 4)**: Fully autonomous agents that receive a general task and independently execute the necessary steps. Example: Creating and deploying a landing page for a new product, including copywriting, image generation, and deployment.

  The video demonstrates the use of these levels using the Gen Spark platform, which combines all four levels in one workspace. It shows how to create Workflows and use autonomous agents to handle complex tasks.

  The video explicitly addresses the AI models Claude, OpenAI (GPT), and Gemini as well as the Gen Spark platform and is more intended for intermediate and advanced users.

NeuralNine (10 New Videos)

• Wagtail: The Django CMS For Blogging in Python
  20.5.2026, 16:00:05

  This video is an introduction to Wagtail, a Python-based Content Management System (CMS) built on Django. Wagtail is described as the “Arch Linux approach” to CMS because it is highly customizable and requires defining almost everything from scratch, unlike WordPress, which provides many features out of the box. The tutorial demonstrates the installation and basic configuration of Wagtail, including creating a new project, defining page models, customizing templates, and using the admin panel for content creation. It shows how to build a blog structure with different pages and content, including the integration of rich text fields, code blocks, and snippets for authors. The video concludes by presenting an official Wagtail template that serves as an example of a finished project.

  This video explicitly covers Wagtail and is aimed at intermediate to advanced users who already have basic knowledge of Django or similar frameworks.

• This is basically uv but for everything…
  18.5.2026, 16:01:32

  This video introduces Pixi, a system-wide package manager for Linux, Mac, and Windows that manages both language packages (e.g., Python, Rust) and system dependencies (e.g., FFmpeg, OpenSSL). Pixi is based on Conda-forge and offers features like lock files for reproducible environments. The tutorial part covers installing Pixi, creating a project, adding dependencies (Python, Pillow, ImageMagick), and using them in a Python script. It also demonstrates how Pixi can be used for Rust extensions in Python without needing separate tools like Cargo or pip. Finally, the creation of custom tasks in Pixi is shown to simplify long commands. The speaker emphasizes Pixi’s advantages over other package managers, particularly unified dependency management and the creation of reproducible environments.

  Conclusion: This video explicitly covers the Pixi package manager, which is based on Conda-forge and written in Rust. It is aimed at intermediate and advanced users who already have experience with package managers and various programming languages.

• Fully Autonomous n8n Coding Agent
  17.5.2026, 10:16:17

  The video shows two n8n workflows that automate the integration of GitHub, Slack, and a local script. The first workflow is triggered when a GitHub issue is created. It executes a script on the user’s PC and sends a success message via Slack. The second workflow takes a Slack message, processes it through an AI agent, creates a GitHub issue from it, and sends a confirmation message. In the demonstration, a GitHub issue is created requesting the first 10 Fibonacci numbers to be added to the Readme.md. The user then receives a Slack message and a pull request with the implemented change. The second workflow shows how a Slack message is converted into a GitHub issue requesting the creation of a minimal Flask application.

  This video explicitly covers n8n and is aimed at intermediate users who are already familiar with workflow automation.

• This is the most useful n8n workflow I have ever built…
  15.5.2026, 16:00:28

  The video demonstrates how to create a fully autonomous AI coding agent using N8N, Claude Code (Anthropics), OpenAI, and GitHub. The agent can be called via Slack or GitHub issues to make changes to a repository, commit them, and create a pull request. The process involves two N8N workflows: one for GitHub issues and one for Slack messages. The first workflow is triggered by the creation of a GitHub issue, executes a Python script that uses Claude Code in headless mode to implement the changes, and sends a success message via Slack. The second workflow takes a Slack message, converts it to a GitHub issue using an OpenAI agent, and triggers the first workflow. The video shows the setup of N8N, the creation of the workflows, and the integration of GitHub, Slack, and the AI agents.

  This video explicitly covers N8N, Claude Code (Anthropics), OpenAI, GitHub, and ngrok. It is aimed at intermediate and advanced users.

• JavaScript Crash Course: Full Beginner Tutorial
  13.5.2026, 16:01:18

  The video provides a comprehensive introductory course in JavaScript, focusing on the fundamentals of the programming language rather than its use in HTML for animations. It covers the following topics:

  1. **Introduction and Setup**:
  – Installing Node.js to run JavaScript files.
  – Creating a simple “Hello World” application with `console.log`.

  2. **Variables and Data Types**:
  – Defining variables with `let`, `var`, and `const`.
  – Differences between `let` and `var` (block vs. global scope).
  – Basic data types such as numbers, strings, booleans, and special values like `undefined`, `null`, `Infinity`, and `NaN`.

  3. **Operators**:
  – Arithmetic operators (addition, subtraction, multiplication, division, modulo, exponentiation).
  – Assignment operators and increment/decrement operators.
  – Comparison operators and logical operators.

  4. **Conditional Statements**:
  – `if-else` statements and `switch-case` statements.
  – Processing user input with the `readline` library.

  5. **Loops**:
  – `while` and `do-while` loops.
  – `for` loops, including iteration over arrays.
  – Loop control statements such as `continue` and `break`.

  6. **Functions**:
  – Defining and calling functions.
  – Parameters and return values.
  – Anonymous functions, lambda expressions, and functions with variable numbers of parameters.
  – Functions as first-class objects and callbacks.

  7. **Data Structures**:
  – Arrays: creating, accessing elements, and iteration.
  – Maps (dictionaries): key-value pairs and accessing values.
  – Sets: simple collection of unique values.

  8. **Objects and Classes**:
  – Defining objects with shorthand notation and with classes.
  – Using constructors and methods.

  9. **JavaScript in HTML**:
  – Embedding JavaScript in HTML files and interacting with the DOM.

  This video is suitable for beginners who have basic programming knowledge and want a quick overview of JavaScript as a programming language. No specific AI tools or models are discussed.

• ONNX: The PDF Format For Neural Networks
  11.5.2026, 16:00:44

  The video introduces ONNX (Open Neural Network Exchange) format, which serves as a PDF-like format for neural networks. The author demonstrates how to train models in PyTorch and TensorFlow, export them to ONNX format, and then use them with ONNX Runtime without the original frameworks. Both simple and more complex models, such as an MNIST classifier, are demonstrated. It also shows how to download and use models from Hugging Face in ONNX format. The focus is on reducing dependency on specific frameworks and increasing interoperability.

  **Conclusion:** This video covers ONNX, PyTorch, TensorFlow, Hugging Face, and ONNX Runtime and is suitable for intermediate users.

• Why you should start creating tech content…
  10.5.2026, 11:04:45

  The video outlines three main benefits of teaching and sharing knowledge in technology. First, teaching forces you to develop a deep understanding of the subject because you must explain concepts clearly and simply—similar to the Feynman Technique. Additionally, you can combine learning new technologies with teaching to continually expand your skill set. Second, a portfolio of videos, blog posts, or GitHub repositories signals proactivity and discipline, which is particularly advantageous in times of job market uncertainty. It can even help bypass traditional application processes. Third, a certain level of reach opens doors, as a large audience is often associated with expertise and trustworthiness, leading to more opportunities and collaborations. The speaker emphasizes that while this shouldn’t be the primary motivation, it is an important side effect.

  This video does not discuss specific AI tools or models and is aimed at intermediate and advanced tech enthusiasts considering sharing their knowledge.

• OpenClaw: Simple VPS Setup Guide
  8.5.2026, 16:00:03

  The video provides a step-by-step guide for setting up Open Claw on a virtual private server (VPS) running Ubuntu. The focus is on speed and simplicity, with installation and connection to Telegram at the center. The process includes updating the system, installing the Node Version Manager (NVM) and Node.js, installing Open Claw via npm, and completing the onboarding process. OpenAI is selected as the model provider and Telegram as the communication channel. The user creates a bot through the Bot Father in Telegram and connects it to Open Claw. After setup, the bot’s functionality is demonstrated by creating and editing a shopping list. The video warns about the security risks of Open Claw and recommends running it in an isolated environment.

  This video explicitly covers Open Claw, OpenAI, Telegram, and NVM, and is aimed at intermediate users.

• MLFlow Crash Course: MLOps in Python
  25.5.2026, 15:56:30

  This video offers a crash course in MLflow, an open-source AI engineering platform and ML Ops toolkit. It covers using MLflow for both GenAI and classical machine learning. The course begins with project setup and installing necessary packages, including MLflow, OpenAI, LangChain, and Mistral AI. The host shows how to start MLflow and integrate existing code examples with MLflow to improve monitoring, logging, and evaluation processes. Various examples are presented, including the use of OpenAI, LangChain, and Mistral AI, as well as evaluating LLM systems and agents. The creation and use of prompt templates, setup of an LLM gateway, and deployment of an agent as a FastAPI endpoint are also demonstrated. The second part of the video covers classical machine learning, with examples of using MLflow with scikit-learn and PyTorch, including model training, hyperparameter tuning, and checkpointing. The video is aimed at intermediate users who already have experience with Python, LangChain, OpenAI, and classical machine learning libraries such as scikit-learn and PyTorch. It does not explicitly discuss specific AI tools or models like Claude, OpenAI, Gemini, or open-source tools, but focuses on MLflow as the central tool.

• Claude Code VS Codex VS OpenCode
  22.5.2026, 16:00:18

  The video compares three coding agents: Claude Code, OpenAI’s Codex, and Open Code. The comparison is based on personal preferences, feature set, public opinion, and various aspects such as user-friendliness, default settings, model variety, exclusivity, tooling, efficiency, speed, limits, and transparency.

  – **User-friendliness and Default Settings**: Claude Code is rated as the easiest to use because it requires user interaction by default for each action. Codex and Open Code execute actions without prior confirmation, though this can be changed through configuration.
  – **Terminal User Interface Design**: Open Code is rated as having the most beautiful and well-designed interface, followed by Claude Code and Codex.
  – **Model Exclusivity**: Claude Code offers exclusive access to Opus models, which are currently considered the most powerful. Codex and Open Code also support various models, with Open Code offering the greatest variety.
  – **Model Variety**: Open Code supports a wide range of models, including free models and various providers such as OpenAI, Google, and others.
  – **Tooling**: Claude Code offers the most additional features such as an undo function, voice control, and a plugin marketplace. Open Code also has many features, while Codex is classified as minimalist and less user-friendly.
  – **Efficiency, Speed, Limits, and Transparency**: Codex takes longer to respond but delivers deeper and more accurate results. Claude Code is faster but less thorough. Open Code with GPT models resembles Codex but with less optimized tooling. Claude Code consumes tokens faster, while Codex and Open Code offer more transparency and flexibility.
  – **Sympathy Points and Open Source**: Open Code gains points due to its open-source nature and community support, while Claude Code and Codex receive fewer sympathy points due to their closed systems and business models.

  **Conclusion**: This video explicitly covers Claude Code, OpenAI’s Codex, and Open Code and is aimed at intermediate and advanced users.

Bart Slodyczka (3 new videos)

• What is Local AI and is it good? #localai #opensource #aiagents
  5.5.2026, 02:00:45

  The video explains the differences between cloud AI and local AI. Cloud AI, such as ChatGPT or Claude, processes requests on external servers, which raises privacy concerns and incurs costs. Local AI, on the other hand, is installed on your own device and processes data offline, offering privacy and cost savings, but often comes with slower and less powerful models. The speaker emphasizes that local AI can be useful for private or business purposes, but for many applications, the more powerful cloud AI models are preferable.

  Topics covered include Claude, ChatGPT, and local models like Gemma 4, with the video being more suitable for intermediate users.

• LM Studio Is Getting Insane — Start Using It Now
  4.5.2026, 11:31:00

  The video shows how to run AI models locally on your own computer using LM Studio. LM Studio is a free desktop app that allows you to search, download, and use various AI models. The video explains how to check your computer’s compatibility with the models, download models, and load them into LM Studio. It demonstrates how to communicate with the models through a chat-like interface, upload PDFs, analyze images, and perform web searches. It also shows how to integrate the models with other business tools like Claude Cowork, Claude Code, OpenClaw, or Hermes Agent. The difference between cloud AI and local AI is explained, where local AI is private and free but often slower and less powerful. The video also covers technical aspects such as using Node.js and configuring MCP Tools (Model Context Protocol) for integrating external tools. Finally, it shows how to integrate a local AI model into the Claude Cowork app.

  The video explicitly covers LM Studio, Gemma 4, Claude, Node.js, and MCP Tools, and is more suitable for intermediate users.

• Claude Cowork Is a Game Changer (If You Do This)
  25.5.2026, 12:20:45

  The video explains how to use Claude Cowork effectively to boost personal productivity. The author emphasizes that many users aren’t yet fully leveraging Claude Cowork’s potential by continuing to use chat mode. Claude Cowork enables you to create projects and organize tasks within those projects, allowing Claude to continuously learn from interactions and become more efficient.

  A central example is automating email management. The author shows how to instruct Claude to identify and archive spam emails, as well as recognize important customer emails and link corresponding tasks in tools like ClickUp. By creating a project and defining clear instructions, Claude can handle repetitive daily tasks, such as filtering spam and managing customer inquiries.

  The author emphasizes the importance of providing detailed instructions and context so Claude can execute tasks precisely. He encourages viewers to analyze their workflows and automate them by giving Claude more responsibility.

  The video explicitly covers Claude (by Anthropic) and is more suitable for intermediate users who are already familiar with Claude’s basic features and want to boost their productivity through advanced automation.

AI Explained (1 new video)

• Two Rival Bets on AGI: Google I/O Highlights
  20.5.2026, 16:50:34

  The video analyzes the key moments and statements from Google’s AI event and puts them in the context of current developments in the AI field. Here are the central points:

  1. **Gemini Omni**: Google introduced Gemini Omni, a model that can transform various inputs into different outputs, including video, image, and speech. The quality of generated videos is compared to the Chinese model Seed Dance 2. Google emphasizes that such world models are an important step toward artificial general intelligence (AGI).

  2. **Different Approaches to AGI**: While Google relies on multimodal world models, OpenAI believes that text-based models are sufficient to achieve AGI. OpenAI has since moved its video generation technology Sora to its robotics division.

  3. **SynthID**: Google and OpenAI are collaborating with SynthID to identify generated or edited images. This demonstrates cooperation between the two companies in certain areas.

  4. **Military Use**: Google has, like OpenAI, signed a contract with the Pentagon for the use of AI in military applications.

  5. **Gemini 3.5 Flash**: The new model is fast and powerful, but not significantly cheaper than existing models. It shows good results on various benchmarks, particularly in financial analysis and the processing of tables and charts.

  6. **Agents and Applications**: Google demonstrated various agent applications, including a task that continuously searches for specific conditions. However, the use of agents is not yet mature.

  7. **The Jaggedness Problem**: A research paper shows that AI models can believe information that is clearly marked as false. Google DeepMind researchers emphasize that this problem is profound and difficult to fix.

  8. **The Future of AI**: There are differing views on whether jaggedness remains a long-term problem or whether recursive self-improvement of models can provide a solution. Andre Karpathy has joined Anthropic to work on this technology.

  The video explicitly covers Google’s Gemini, OpenAI’s models like GPT-4.1 and Sora, as well as Anthropic’s Claude Opus 4.7. It is aimed at an advanced audience already familiar with current developments in the AI industry.

Alex Finn (10 new videos)

• Hermes just got 10x better…
  19.5.2026, 13:30:10

  The video presents eight major updates for Hermes Agent that significantly enhance the tool’s functionality. The key new features include:

  1. **Session Recall**: Improved memory function that allows retrieving all previous conversations and actions without consuming tokens.
  2. **Background Tasks**: The ability to run multiple tasks simultaneously in the background, enabling true multitasking capabilities.
  3. **Grock 4.3 Integration**: Using the Grock 4.3 model for tasks like real-time Twitter search and video creation.
  4. **Native Codec CLI Usage**: Integration of Codec CLI for cost-effective and efficient coding.
  5. **Computer Control**: The ability to control the computer and autonomously perform tasks like calendar management.
  6. **Video Creation**: Native text-to-video and photo-to-video functions within the tool.
  7. **Automatic Kanban Task Distribution**: Automatic breakdown of tasks into subtasks and their distribution across different subagents.

  The video is suited for intermediate to advanced users, as it presents detailed features and integrations that require some prior knowledge. It explicitly covers Hermes Agent, Grock 4.3, Codec CLI, and Telegram.

• Claude Code is 1000x better when you use this tool
  17.5.2026, 18:06:00

  The video presents an efficient workflow integration of Claude Code (or alternative vibe-coding tools like Codeex, Cursor) with the project management tool Linear. Linear serves as a “second brain” by automatically organizing, prioritizing, and linking tasks (issues) with GitHub. This enables seamless collaboration across different devices and AI agents, reduces manual planning, and increases productivity. The creator demonstrates building a prompt-library app, where Claude Code processes tasks from Linear, generates code, and tests independently. Additionally, he shows how GitHub branches are created for each task to facilitate code overview and review. A bonus tip is integrating Slack for team updates. The video targets intermediate to advanced users of AI-coding tools and explicitly covers Claude, Codeex, Cursor, Linear, and GitHub.

• LIVE: GROK BUILD CLI IS ACTUALLY INCREDIBLE???
  15.5.2026, 20:24:28

  ### YouTube Video Summary

  The video is a live stream session in which the author discusses various aspects of selling software-as-a-service (SaaS) while simultaneously testing the capabilities of Grock Build, a tool from XAI. The stream begins with a casual introduction, encouraging viewers to participate and write in the chat. He discusses the importance of Twitter (X) for selling software and the necessity of building a community.

  He then covers the three key factors that determine the success of SaaS products: distribution, network effects, and partnerships with government data. He emphasizes that a strong community and good sales are crucial to success.

  A large portion of the video is dedicated to demonstrating and testing Grock Build, a new tool from XAI. The author performs several benchmark tests, including creating a 3D first-person shooter, an Elon Musk animation, and a 3D city flythrough. He evaluates the results and compares them with other AI tools like Claude, OpenAI, and Gemini. While Grock Build performs well in some areas, there is also criticism regarding the tool’s user-friendliness and costs.

  The author also shares his personal experiences with various AI tools and expresses his views on the current AI development landscape. He emphasizes the importance of coding skills for AI tool success and praises Anthropic for developing Claude Code.

  Toward the end of the video, the author announces that he will do fewer live streams in the future and focus more on creating pre-recorded videos. He invites viewers to join his Vibe Coding Academy bootcamp, where he will discuss more about SaaS, investments in AI, and his workflows.

  ### Closing Comment

  The video explicitly covers AI tools and models from Claude (Anthropic), OpenAI (ChatGPT, Codex), Gemini (Google), and specific tools like Grock Build (XAI). It is aimed at intermediate and advanced users interested in developing and selling SaaS products and the latest developments in the AI industry.

• LIVE: The greatest Claude Code workflow ever
  13.5.2026, 20:12:33

  The video showcases a detailed, advanced workflow for Claude Code that integrates various tools such as Slack, Linear, GitHub, and Claude Code. The host explains how these tools work together to increase productivity, track changes, and organize development. The workflow includes creating tasks and projects in Linear, linking them with GitHub for branch management, and using Claude Code to automate and manage these processes. The host emphasizes the benefits of this workflow, such as increased speed, better error prevention, and improved traceability.

  Additionally, the host discusses personal experiences and challenges, such as dealing with difficult times and the importance of perseverance. He also shares his thoughts on using AI tools like Claude Code and Codex, as well as their differences and use cases.

  The video is intended for advanced users who already have experience with Claude Code and similar tools and want to optimize their workflows. It covers specific tools such as Claude, OpenAI, and Linear.

• Hermes Agent powered by local models on the DGX Spark is basically magic
  13.5.2026, 13:30:07

  The video shows how to set up a Hermes Agent on a local model on an Nvidia DGX Spark to create a 24/7 available AI employee. The process includes setting up the DGX Spark in headless mode, installing a local model (Qwen 3.6 27B), and integrating the model into the Hermes Agent. The creator demonstrates three use cases: a daily report on AI stocks for beginners, repurposing YouTube video content for advanced users, and vibe-coding a to-do list app for advanced users. The focus is on the benefits of local models, such as being free (apart from electricity costs), privacy, customizability, and educational value.

  Closing Comment: The video explicitly covers Nvidia DGX Spark, Hermes Agent, Qwen 3.6 27B, and Tailscale, and is intended for intermediate to advanced users.

• LIVE: Talking AI news (no Hermes use cases ignore the thumbnail)
  11.5.2026, 20:11:47

  The video is a live stream session primarily discussing Hermes Agent and its use cases. The host, Alex Finn, begins with an introduction to Hermes Agent and emphasizes the importance of use cases for leveraging the technology. He mentions that Hermes has released a new website with hundreds of use cases that he and the viewers will go through and test.

  However, a large portion of the video is taken up by various tangents and discussions, including:

  1. **Investment Corner**: Alex discusses current investment opportunities in the AI industry, particularly in companies like Nvidia, Micron, TSMC, and Tesla. He emphasizes the importance of current AI developments and the need to invest in the right companies.

  2. **Personal Stories and Anecdotes**: Alex shares personal stories and anecdotes that are often humorous and entertaining but not directly related to the video’s main topic.

  3. **Chat Interaction**: A large part of the video consists of interaction with the live chat, where Alex answers questions, makes comments, and engages with viewers.

  4. **Use Cases for Hermes Agent**: Toward the end of the video, Alex begins discussing some of the use cases from the new Hermes website. He mentions use cases such as creating research reports, managing tasks, and automating processes.

  5. **Announcements and Updates**: Alex provides updates on his own projects and announcements, such as launching a second YouTube channel and attending a Baby Keem concert.

  **Closing Comment**: The video explicitly covers open-source AI models and tools such as Hermes Agent and OpenClaw. It is aimed at intermediate to advanced users who already have some understanding of AI and its applications.

• Hermes Agent is blowing me away…
  9.5.2026, 20:54:26

  The video compares the AI agents Hermes and OpenClaw, recommending Hermes for its reliability, self-improvement, and user-friendliness. The author describes the advantages of Hermes, including regular thematic updates, self-improvement capability through usage, and a strong emphasis on experimentation and local models. Installing Hermes is described as straightforward, with options for various models and communication services, with Telegram and Opus recommended. The author showcases three use cases: one for beginners discovering new AI tools daily, one for advanced users performing daily proactive check-ins, and one for experts creating AI-generated videos. At the end, the author emphasizes the importance of brain-dumping and reverse-prompting to use the AI agent personally and effectively.

  The video explicitly covers the AI tools Hermes Agent and OpenClaw and is aimed at intermediate and advanced users.

• LIVE: Anthropic and Elon just teamed up to take down OpenAI
  6.5.2026, 20:12:34

  The video covers the strategic alliance between Anthropic and Elon Musk’s XAI (X.AI), characterized by a major compute power deal. Anthropic gains access to SpaceX’s Colossus-1 cluster, which will significantly enhance their ability to develop and train AI models. This partnership marks a turning point in competition with OpenAI, which has held a dominant position in recent months with Codex. During this time, Anthropic has struggled with reduced limits and less powerful models, which this new alliance aims to address. Elon Musk, who was previously critical of Anthropic, now provides massive compute resources, changing the dynamics of AI competition. The video also discusses Elon Musk’s long-term strategies, as he may focus on larger goals such as autonomous vehicles, space exploration, and robotics rather than remaining in the AI chatbot competition. The alliance could usher in a new era of innovation and improvement in AI tools, benefiting consumers. The video emphasizes the importance of using both leading AI tools, Claude Code and Codex, to benefit from their respective strengths.

  **AI Tools/Models/Providers:** Anthropic, OpenAI, Elon Musk (X.AI), Claude, Codex, Grock, Gemini, Open-Source
  **Target Audience:** Intermediate

• Hermes Agent might have just killed OpenClaw
  5.5.2026, 21:11:59

  The video presents Hermes Agent as a more reliable alternative to OpenClaw and discusses seven new features that improve productivity and user-friendliness. These include:

  1. **Kanban Board**: Enables multitasking through parallel processing of multiple task streams. A manager agent fills tasks with details and moves them through various statuses (Triage, To-Do, Ready, In Progress, Block, Done).

  2. **Slashgoal**: A high-level mission function that assigns long-term tasks to the agent that can be worked on over extended periods. The quality of the prompt is crucial for good results.

  3. **Profiles (Multi-Agents)**: Allows creating multiple agents with their own memories and skills to optimize performance and prevent overload.

  4. **Model Catalog**: Simplifies switching and assigning models to specific tasks, improving cost control and efficiency.

  5. **Compression**: By adjusting the compression threshold to 0.5, less drastic compression is performed, improving memory capability.

  6. **Curator Feature**: Automatic pruning of rarely used skills every seven days to reduce bloat and maintain performance.

  The video criticizes OpenClaw for frequent updates that cause instability and performance issues, highlighting Hermes’s targeted, reliable updates. It recommends leveraging Hermes’s new features to increase productivity.

  **Closing Comment**: The video explicitly covers Hermes Agent and OpenClaw and is aimed at intermediate to advanced users.

• 6 Hermes Agent use cases I promise will change your life
  22.5.2026, 19:34:16

  The video presents six use cases for deploying Hermes Agent, a powerful AI tool that can be used as a 24/7 assistant. The main use cases are:

  1. **/goal Function**: This enables long-term tasks that can run over hours or days. Through metaprompts containing detailed instructions and constraints, Hermes Agent can tackle complex tasks like developing a 3D shooter game.

  2. **Kanban Board**: An integrated Kanban board that automatically assigns tasks to Hermes Agents and lets them complete them autonomously. Users can enter their daily tasks on the board and Hermes Agent takes care of those that can be automated.

  3. **Technical Research**: Hermes Agent can analyze websites, identify technical stacks, and create detailed competitor reports. This is especially useful for developers wanting to improve their own applications.

  4. **Memory Wiki**: A personal wiki page documenting all conversations and tasks with Hermes Agent. This serves as a memory aid and allows looking up past projects and conversations.

  5. **General Computer Administrator**: By using Tailscale, multiple devices can be connected in a private network. Hermes Agent can then execute tasks on different devices, e.g., transferring files between devices or installing local LLM models on different computers.

  6. **Morning Priority Prompt**: Hermes Agent asks the user daily about their most important task of the day and creates tasks that support it. This improves adaptability and the agent’s understanding of the user’s needs.

  At the end of the video, it is shown how Hermes Agent developed a simple 3D shooter game that can serve as a foundation for further improvements.

  The video explicitly covers Hermes Agent and is aimed at intermediate users.

AI Foundations (3 new videos)

• Full Hermes Agent Set-Up For Beginners in 2026! (24/7 AI Agent)
  12.5.2026, 14:56:27

  This video is a tutorial on setting up the Hermes Agent, a 24/7 self-improving AI agent that runs on a server and continuously learns from feedback. The agent consists of three layers: memory, skills, and cron jobs. Memory enables the agent to integrate learned knowledge into future sessions. Skills are automations or mini-workflows that the agent creates and improves. Cron jobs allow for scheduling tasks at specific times. The agent goes through a loop where it sets goals, uses tools, delivers results, and improves through feedback.

  The author compares setting up the agent on a local computer with setting it up on a VPS (Virtual Private Server). A VPS is always online and scalable, whereas a local computer is only active when powered on. Setting up on a VPS is described in detail, including using Hostinger for VPS deployment and configuring the agent via terminal. The agent can be used with various models like Claude, OpenAI, or Open Router, and can be controlled through different messaging platforms like Telegram.

  At the end, the author shows a practical example of how he uses the Hermes Agent to automatically create and publish blog posts based on his YouTube videos. The agent checks analytics, improves content, and can be controlled via Telegram.

  The video explicitly covers Hermes Agent, Open Router, Claude, OpenAI, and specific tools like Telegram. It’s geared toward intermediate and advanced users.

• FULL Claude Cowork Tutorial For Beginners in 2026! (Zero to PRO)
  4.5.2026, 17:28:28

  This video offers a comprehensive introduction to Claude Cowork, an advanced feature of AI Claude that goes beyond basic chat functionality. It begins with an explanation of the pricing structure, which requires at least Claude’s Pro version, and highlights the unique features of Cowork that are not accessible through the web interface but through a desktop application.

  The tutorial shows the Claude Cowork user interface and explains various tabs such as Projects, Scheduled Tasks, Live Artifacts, Dispatch, and Settings. A central focus is on the differences in interaction with Claude Cowork compared to Chat mode. Cowork is designed to accomplish tasks, while Chat mode is more suited for brainstorming and strategy development.

  A practical example shows how to create a folder on the desktop and have Claude Cowork interact with it to conduct research on the year 1800. Subagents are deployed to research in parallel and create Markdown files. This feature enables multiple tasks to be handled simultaneously with results saved directly to the computer.

  Another important aspect is the creation of Live Artifacts, described as mini-applications connected to real-time data. An example shows how an interactive dashboard for the year 1800 is created, containing various information and learning tools.

  The video also demonstrates how to connect tools like Gmail with Claude Cowork to automate tasks like categorizing invoices. This integration allows reading and writing data from various applications, significantly improving efficiency when handling emails and other tasks.

  Additionally, Claude Skills are introduced, described as automations that perform specific tasks in the same way each time. An example is a daily briefing automation that summarizes emails and calendar entries to give the user an overview of the day.

  Projects in Claude Cowork are described as containers holding specific instructions and files to accomplish particular tasks. An example shows how a project is created for generating SEO-optimized blog posts based on YouTube transcripts.

  The video closes with an invitation to join the AI Foundations community, where additional courses and resources for automation with Claude are offered.

  Final note: The video explicitly covers Claude Cowork and is geared toward intermediate to advanced users.

• Claude JUST Unlocked Images & Videos! (Higgsfield MCP & CLI)
  21.5.2026, 16:03:03

  This video shows the integration of Higgsfield with Claude, an AI tool that previously handled text and code and now enables image and video generation. The author explains step by step how to connect Higgsfield with Claude, first via MCP (Model Context Protocol) and then via CLI (Command Line Interface) for advanced use. Higgsfield provides access to a variety of image and video models like Nanobanana 2, Cream 5.0, and Cance 2.0. The author demonstrates creating an image and video with Claude and Higgsfield, with Claude automatically selecting the best models and generating prompts. He then shows how to create an automated marketing setup that generates YouTube video thumbnails. Using Claude Code, he builds a system that searches YouTube for successful thumbnails, analyzes them, and then creates new thumbnails with Higgsfield. The author emphasizes that this automation saves him hours per week, and he no longer has to manually create thumbnails in Photoshop. At the end, he shows an example of a generated thumbnail and explains how he will use this system going forward.

  The video explicitly covers Claude, Higgsfield, and RapidAPI and is geared toward intermediate to advanced users.

n8n (6 new videos)

• Why n8n + Lovable Is Replacing Salesforce, HubSpot, and Slack
  20.5.2026, 23:37:26

  This video is a podcast interview with Olaf, a representative from Lovable, focusing on using AI for software development. Olaf discusses Lovable’s vision of democratizing software development and enabling everyone to build applications regardless of technical skills. He emphasizes that the limiting factor is no longer technical expertise, but people’s ideas.

  Some of the main points from the interview are:

  1. **Lovable as Co-Founder**: Lovable is positioned as a co-founder for startups and entrepreneurs who want to develop software solutions quickly and cost-effectively.
  2. **Success Stories**: Olaf shares examples of users who have created successful applications with Lovable, such as an app that helps women check the criminal history of potential dates.
  3. **Integration with Other Tools**: Lovable integrates with various tools and platforms to facilitate application development and deployment.
  4. **The Future of Software Development**: Olaf discusses the future of software development and how AI will revolutionize the way we create and use software.
  5. **Security Concerns**: He expresses concerns about security and responsible AI use, particularly regarding access to sensitive data.

  The video explicitly features the AI tools and platforms Lovable, Claude, and open-source tools. It is geared more toward intermediate and advanced users interested in integrating AI into software development.

• From the n8n canvas to Microsoft Teams with Microsoft Agent 365
  19.5.2026, 16:32:30

  This video presents a live demo and step-by-step guide for setting up Microsoft Agent 365 in conjunction with the n8n automation platform. Here are the main points:

  1. **Introduction to Agent 365**: Agent 365 is a new node within the n8n automation system that enables creating and managing agents with enterprise identity, permissions, governance, and Microsoft Copilot (MCP) tools in Microsoft 365.

  2. **Demo Steps**:
  – **Prerequisites**: Requires a Microsoft Copilot license, a Teams license, an Agent 365 license, and a global administrator role in the Microsoft tenant.
  – **Setup on the Microsoft Side**: Installation and use of the Agent 365 CLI tool to create an agent blueprint. This blueprint defines the name, description, developer information, and access rights to Microsoft tools like Outlook, Teams, and Word.
  – **Setup on the n8n Side**: Integration of the Agent 365 trigger node in n8n, which connects to a chat LLM model, a memory node, and various tools like Salesforce and ServiceNow.
  – **Publishing and Use**: The agent blueprint is published in Microsoft 365, and users can create instances of the agent through the Microsoft Agent Store. The demo shows how a sales team uses an agent to compile data for a quarterly business review.

  3. **Security and Governance Features**: Agent 365 offers comprehensive security and governance features that enable IT administrators and security teams to monitor and control agent activities. This includes defining permissions, assigning user access, and real-time monitoring of agent activities.

  4. **Advanced Use Cases**: The demo shows how the agent can be integrated with tools like PagerDuty to retrieve incidents and transfer them to an Excel spreadsheet that is then shared via email. This demonstrates the agent’s ability to interact with various services beyond the Microsoft ecosystem.

  5. **Future Developments**: Participants are encouraged to provide feedback and suggestions on how the platform can be further improved, particularly regarding streamlining the setup process and expanding use cases.

  This video explicitly covers Microsoft Agent 365 and n8n and is geared toward intermediate to advanced users who already have experience with automation platforms and Microsoft 365.

• n8n Desk: The Open Source Claude Desktop That Runs on top of n8n’s new MCP
  11.5.2026, 18:03:38

  This video presents a demonstration by Marcel, who introduces two new tools: the official n8n MCP (Model Context Protocol) and n8n Desk, an open-source desktop application that functions similarly to Claude Desktop but with some important differences. The n8n MCP enables AI agents not only to execute n8n workflows but also to create and edit them. This is a significant advancement, as previously only workflow execution was possible. Marcel demonstrates the creation of a support ticket agent that communicates via Slack. n8n Desk, on the other hand, does not run code locally on the computer but uses n8n instances in the cloud, which is safer and better suited for enterprise environments. The application supports various AI models, including local models, and offers features like Co-Work, Workflow, and Chat. Marcel emphasizes the importance of context and skills for effective use of AI agents and shows how n8n Desk integrates these aspects. The video concludes with the announcement that n8n Desk will be available as an open-source project, with the option to be notified via a waitlist.

  This video explicitly covers n8n, Claude, and open-source tools and is geared toward intermediate and advanced users.

• How we use n8n: Sindhuja, product leader
  4.5.2026, 14:17:20

  This video is an interview with Sindhuja, a product manager on n8n’s AI team. She shares her career path, which took her from being an engineer to founding an EdTech company and eventually joining n8n. At n8n, she initially improved user adoption and retention before moving to the AI team to advance the use of AI for simplifying workflows. She discusses the development of an instance-level MCP that enables users to access n8n from various platforms and emphasizes the importance of community feedback. Additionally, she uses n8n herself for personal and professional workflows, including an AI assistant within the product. She sees n8n’s future in combining creativity and reliability to make automation accessible to everyone.

  This video explicitly covers the tool n8n and is geared toward intermediate or advanced users.

• n8n Livestream: Product Updates, Community Creator & the latest Community Challenge
  30.4.2026, 16:30:56

  This video shows a live stream session with various updates and presentations around the n8n platform, a tool for workflow automation. Here are the key points:

  1. **Product Updates from Nick and David**:
  – **MCP (Model Context Protocol)**: A tool for creating n8n workflows that is in beta phase and continuously being improved. It enables the integration of coding agents and other tools.
  – **Agents as First-Class Citizens**: Agents are treated as standalone entities alongside workflows, with enhanced features such as long-term memory, state management, and routing strategies.
  – **AI Assistant**: A new AI assistant that can create, test, and iterate workflows. It has access to various tools such as browser, file system, and multimodality and is designed to make proactive suggestions.
  – **n8n Connect**: A feature that enables direct consumption of AI tokens within n8n and facilitates access to various services like web search, web scraping, and OCR.

  2. **Community Member Zayn Khan**:
  – Presentation of a project for a client that automates support ticket management with n8n. The workflow uses JotForm for input, AI agents to classify tickets by severity and sentiment, and integrates databases like Airtable as well as Slack for notifications.

  3. **Community Challenge**:
  – Introduction of the monthly Community Challenge, where participants can solve real-world use cases with n8n. Winners will be featured in the next live stream and their workflows will be published in the official n8n template collection.
  – The current challenge focuses on “human-in-the-loop” automation, where human review steps are integrated into the workflow. An example was social media content verification by various team members.

  4. **Additional Information**:
  – **Fridays for AI Days**: A weekly initiative where users can share their workflows and receive rewards.
  – **Job Openings**: n8n is hiring for new positions, particularly in community teams.
  – **Newsletter and Events**: Information about the monthly newsletter and upcoming community events, including a special event for women in automation.

  This video explicitly covers n8n and its various features and tools, particularly MCP, Agents, AI Assistant, and n8n Connect. It is geared toward intermediate and advanced users who already have experience with workflow automation and want to deepen their knowledge.

• Create n8n Workflows With Agents | Official MCP
  29.4.2026, 14:18:27

  This video shows how to use n8n’s new MCP interface (Model Context Protocol) to create and edit workflows with the help of AI models like Claude. The MCP interface enables creating workflows directly in n8n without manually copying and pasting JSON code. The process includes connecting n8n with Claude via the MCP interface, configuring access rights, and using Claude Code to create workflows. The video also shows how to set up the MCP interface with other coding agents like Open Code. The video is a tutorial for setup and provides a preview of future applications.

  This video explicitly covers n8n, Claude, Claude Code, and Open Code and is geared toward intermediate users.

Greg Baugues

No new videos in this period.

TheAIGRID (10 New Videos)

• Google’s New AI Update Just Shocked The AI Industry – Gemini 3.5 Pro , Gemini Omni, Gemini Spark
  20.5.2026, 11:17:24

  The video introduces the latest AI features and products from Google, primarily based on the Gemini ecosystem. Here are the key points:

  1. **Gemini Omni**: A new model capable of processing text, images, videos, and audio to create and edit multimodal content. It enables video creation and editing through natural language commands. For example, it can create explainer videos on complex topics like protein folding or edit existing videos retroactively.

  2. **Gemini 3.5 Flash**: A new model in the Gemini family specifically optimized for coding. It is faster and more powerful than previous versions, making it particularly suitable for agent-based coding tasks.

  3. **Anti-Gravity 2.0**: A revised version of Google’s agent-based development platform. It enables the creation of complex projects, such as an operating system, through collaboration among multiple sub-agents. The platform is now available as a standalone desktop application and offers a variety of integrations and features.

  4. **Gemini Spark**: A personal AI agent that runs continuously in the background and completes tasks on behalf of the user. It can compose emails, manage schedules, and even handle complex projects like planning a block party. Spark is capable of interacting with various tools and synchronizing tasks across multiple devices.

  5. **Docs Live**: A new feature that allows users to create and edit documents using their voice. This makes it easier to quickly capture ideas and information without manual typing.

  6. **Redesigned Gemini App**: The Gemini app has been completely redesigned and now offers a more intuitive user interface with enhanced content creation and editing features. New features include integration of Gemini Omni for video editing and the “Daily Brief” agent, which provides users with a personalized overview of their tasks and appointments.

  7. **Google AI Pix**: A new app for image editing that allows users to precisely edit and create images. It offers features such as removing or altering objects in images and translating text.

  8. **Stitch**: A design tool that allows users to quickly and easily create user interfaces and websites. It offers features like creating UI designs through voice commands and integration with other tools.

  9. **Google Flow**: A platform for creative projects that now offers new features like simultaneous execution of multiple commands and creation of custom tools. Google Flow Music enables music creation through voice commands.

  The video specifically focuses on Google’s own models and tools such as Gemini Omni, Gemini 3.5 Flash, Anti-Gravity 2.0, Gemini Spark, Docs Live, Google AI Pix, Stitch, and Google Flow. It is better suited for intermediate users who are already familiar with AI tools and want to expand their use cases.

• 10 Best AI Tools For Business Owners in 2026 – How To Start Your Business With AI
  16.5.2026, 21:15:02

  The video presents 10 AI tools suitable for small businesses and beginners without technical prerequisites. Here are the key points:

  1. **ChatGPT**: A versatile tool for tasks like email writing, brainstorming, document summarization, social media posts, and more. It is particularly useful for small businesses to save time and overcome creative blocks. The Plus plan costs $20 per month.

  2. **Claude Co-work**: A desktop agent from Anthropic that can autonomously work with local files and applications. It can handle tasks like organizing files, creating presentations, and managing Excel spreadsheets. The base price is $20 per month.

  3. **Microsoft 365 with Claude**: Claude can be integrated into Microsoft Word and Excel to automate tasks like creating financial analyses and managing documents. It is particularly useful for creating financial forecasts and managing data.

  4. **Copilot in Microsoft 365**: A built-in AI in Microsoft 365 that offers similar features to Claude but is less powerful. It is a cost-effective alternative for businesses with limited budgets.

  5. **Gamma.app**: A tool for creating presentations and websites. It is particularly useful for small businesses that want to create professional presentations and websites without design knowledge.

  6. **Google’s Pomelo**: A free marketing tool from Google that generates social media posts, advertising campaigns, and email banners based on a website URL. It is particularly useful for businesses that want to strengthen their brand identity.

  7. **Flow by Google**: An image generation tool that is particularly useful for businesses that regularly need to create images for marketing purposes. It offers 50 free credits to get started.

  8. **Canva AI**: A tool for creating marketing visuals that suggests layouts, generates images from prompts, and adapts designs for various social media platforms. It is particularly useful for businesses that want to keep their brand identity consistent.

  9. **Zapier**: A tool for automating workflows between different applications. It can automate tasks like creating calendar entries and managing customer inquiries. It offers a free version and paid plans up to $20 per month.

  10. **Chatbase**: A tool for integrating AI support agents into websites. It enables businesses to integrate automated customer support agents on their website that can respond based on PDFs or Word documents with company knowledge. It offers a free version and paid plans starting at $32 per month.

  11. **Perplexity Computer**: An expensive but powerful AI agent tool that can automate tasks like creating reports, scraping websites, and managing data. It is particularly useful for businesses that want to automate complex tasks. The price is $200 per month.

  12. **Lovable**: A tool for creating AI-assisted websites. It is particularly useful for businesses that want to quickly and easily create a website without design knowledge.

  The video is suitable for small businesses and beginners without technical prerequisites. It covers various AI tools and models including ChatGPT, Claude, Microsoft 365, Copilot, Gamma.app, Google’s Pomelo, Flow by Google, Canva AI, Zapier, Chatbase, Perplexity Computer, and Lovable.

• Meta AI Tutorial – How To Use Meta AI
  13.5.2026, 21:15:04

  The video presents the features and tips for using Meta AI. It begins with an explanation of three chat modes: “Instant” for quick, casual questions, “Thinking” for complex problems requiring longer deliberation, and the secret “Contemplating” feature that deploys up to 16 independent agents for parallel analysis. This feature is particularly useful for research, strategy development, and difficult decisions. The video then demonstrates Meta AI’s search function, which retrieves information from the open web and Meta’s social graph, including Instagram Reels and Facebook posts. Meta AI’s multimodality is highlighted, particularly image analysis and visual grounding, which can provide detailed analysis and personalized health information from images. Analysis of PDFs, Excel, and Word documents is also mentioned. Additionally, image and video generation with Meta’s “Vibes” is presented, which is currently based on Midjourney, as well as the Meta Vibes social platform, where users can share and remix AI-generated content.

  The video specifically covers Meta AI and is better suited for intermediate users.

• Google’s New Gemini Omni Just Shocked Everyone – Leaked Demo, Pricing, and what comes next
  12.5.2026, 19:45:04

  The video covers the leak of a new Google AI video model called Gemini Omni, which was accidentally made accessible to some users. The discovery began with a tweet pointing to an unusual text line “powered by Omni” in the Gemini app. Users generated initial videos that demonstrated impressive quality comparable to current top models like Sora 2. The videos showcase complex scenes, such as a professor explaining a mathematical proof on a chalkboard, and a detailed restaurant scene with two people. However, using the model is extremely resource-intensive, with just two generations already consuming 86% of a Pro subscription’s monthly quota ($20/month). The name “Omni” suggests a multimodal model supporting various input and output modalities, similar to the never officially released GPT-40. The video speculates about a possible introduction of Omni at the upcoming Google IO and compares it to current competitors like Sora 2, Alibaba’s W2.7, and Cline 3.0. It discusses whether Omni could be a standalone product or a further development of VO4, with the potential to significantly change the AI video landscape.

  The video specifically covers Google’s Gemini Omni and compares it with other models like Sora 2 and GPT-40, targeting an intermediate to advanced audience.

• How To Use Claude For Microsoft Word (Microsoft Word Claude Tutorial)
  9.5.2026, 20:15:01

  The video demonstrates how to use Claude in Microsoft Word. First, the installation of the add-in is explained, noting that a Claude Pro or Max plan is required. Users are encouraged to use the Sonnet 4.6 or Opus 4.6 models, with Opus 4.7 reserved for mathematical tasks. Important settings such as “Work over Files” are highlighted, which allow sharing context between different Office files.

  The video demonstrates how Claude can be used in Word to write, edit, and format text. It shows how to highlight specific sections and then have them expanded or rewritten. Additionally, Claude’s ability to reword text in various styles and structures is emphasized, including adding headings and bullet points.

  Another focus is on the ability to mark and analyze specific sections of a document, such as highlighting security aspects or key points. The video also shows the integration of web research directly into Word, noting that this feature is only suitable for simple search queries.

  The video also shows how Claude can work with other Office applications like Excel and PowerPoint to integrate data from these applications into Word documents. This is demonstrated using an example where sales data from Excel is incorporated into a letter to shareholders.

  Finally, the use of templates in Word is shown, such as for resumes, noting that Claude can sometimes struggle with complex formatting. It is recommended to use the “Undo” function if problems arise or to repeat the task with a higher-tier model.

  The video specifically covers Claude and is better suited for intermediate users.

• OpenAI Is Losing The AI War
  8.5.2026, 22:34:30

  The video analyzes the current state of competition among leading AI companies, particularly between OpenAI and Anthropic. It establishes that Anthropic has gained significant market share in recent months, both among private users and in the enterprise space. Anthropic is experiencing unprecedented revenue growth and has overtaken OpenAI in many areas, particularly in usage for coding and general tasks. The frequent product releases and strong market position of Anthropic, particularly with models like Claude Opus and Mythos, are highlighted. Additionally, Anthropic’s dismissive stance toward certain government requests is portrayed as a positive PR moment that has strengthened trust in the company. Investors are increasingly skeptical of OpenAI, while Anthropic sees high demand in the secondary market. The video concludes with the observation that user preferences have clearly shifted toward Anthropic and raises the question of whether OpenAI can still close this gap.

  The video specifically covers Anthropic, OpenAI, Gemini, and specific models like Claude Opus and Mythos. It is better suited for intermediate and advanced users who want to familiarize themselves with current developments and market trends in the AI industry.

• Claude For Powerpoint Tutorial – How To Use Claude With Powerpoint
  7.5.2026, 21:00:59

  The video demonstrates the use of “Claude for PowerPoint,” an official add-on from Anthropic that is directly integrated into Microsoft PowerPoint. It enables the generation of fully editable PowerPoint elements based on existing templates or new content. The add-on is available in various pricing tiers but is still in beta/research phase.

  To use Claude for PowerPoint, you need a Claude Pro account (starting at $20/month) or a Max Team/Enterprise subscription, as well as a current version of Microsoft PowerPoint (desktop or web). After installation via the add-in function in PowerPoint, you can choose between two models: Opus 4.6 for complex tasks and Sonnet 4.6 for quick edits. The settings allow you to establish standards such as fonts, colors, and notes for each slide. Importantly, there is an option to confirm changes in advance to prevent unwanted edits.

  Claude automatically reads the template layouts, fonts, and color schemes and generates slides that follow the template’s visual structure. An important tip is to load the template before prompting, as Claude uses it as a reference. The video shows examples of creating presentations from text prompts, editing individual slides, converting PDFs and Excel data into slides, and generating presentations based on websites. Claude can also translate presentations into other languages and add speaker notes.

  Some limitations are mentioned, such as a 30 MB file size limit, possible issues with complex layouts, and limited graphic analysis. The add-on is currently only available for desktop and web, not for iPad or Android.

  The video specifically covers the AI tool “Claude for PowerPoint” from Anthropic and is better suited for intermediate users who are already familiar with PowerPoint and want to leverage the functionality of AI tools.

• Why AI Ceos Are Now Afraid Of AI
  6.5.2026, 21:15:05

  The video discusses the ambivalence and fears of the world’s richest and most powerful men working on artificial general intelligence (AGI). They view AGI both as humanity’s greatest opportunity and as a potential end to civilization. A central problem is the alignment problem: How can one ensure that a superintelligent AI understands and follows human values and unstated assumptions? So far, there is no solution to this. Additionally, there is a growing fear of an AI arms race, as whoever develops AGI first will gain a dominant position. This could destabilize existing economic and political structures. Another critical point is recursive self-improvement, where an AI could exponentially increase its own intelligence, leading to a sudden, difficult-to-control intelligence leap. Finally, the danger is emphasized that AGI could be weaponized, leading to autonomous cyberattacks, biotechnological threats, and massive disinformation. Current developments are occurring without international regulation and controls, further increasing the risks.

  The video specifically covers OpenAI, Anthropic, Safe Superintelligence Inc., and the models GPT-6 as well as Grok, and is better suited for intermediate and advanced users.

• How To Use Pomelli – Google Pomelli Tutorial –
  5.5.2026, 21:15:01

  The video introduces the new AI-powered marketing tool “Meli” from Google Labs, which generates social media and advertising content for businesses based on a website URL. The focus is on defining the “Business DNA,” which consists of Brand Aesthetic, Brand Tone of Voice, Business Overview, Brand Values, and Tagline. The creator shows how to create these values with the help of AI tools like Gemini or ChatGPT by using template screenshots and having AI complete them. Subsequently, the video demonstrates how to set logos, colors, and fonts, and create campaigns that showcase the product in various contexts. Video and photoshoot creation is also explained, where AI generates various variations that can be customized and downloaded. The tool is particularly useful for ideation and creation of marketing materials.

  The video specifically covers Google’s Meli and uses Gemini and ChatGPT as supporting AI tools. It is better suited for intermediate users who already have basic knowledge of marketing and branding.

• AI Helped Spark a Quantum Breakthrough. “The World ‘Is Not Prepared’
  4.5.2026, 21:22:09

  The video discusses recent advances in quantum computing research accelerated by AI and the potential threats to modern internet security. Three main factors are highlighted: improvements in quantum computers, more efficient algorithms, and AI-driven discovery of these algorithms. This combination could significantly reduce the size of quantum computers required to break modern encryption.

  Google has published research results showing that a future quantum computer with fewer than 1,200 logical qubits could attack certain encryption methods. Additionally, researchers from Caltech and Oatomic have argued that Shor’s algorithm could run on just 10,000 reconfigurable atomic qubits at cryptographically relevant scales. AI played a crucial role in developing these algorithms by searching through thousands of possibilities and improving algorithm efficiency.

  Companies like Cloudflare are responding to these developments by advancing their targets for transitioning to quantum-safe security. Cloudflare aims to be fully quantum-safe by 2029, including authentication. The transition to quantum-safe cryptography is complex, however, and requires updating multiple systems and rotating secrets.

  Concluding note: The video covers OpenAI and open-source tools like Open Evolve and is better suited for intermediate and advanced users.

Theo – t3․gg (10 new videos)

• I’m scared to make this video
  20.5.2026, 03:51:05

  The YouTuber expresses strong criticism of Google, particularly regarding the latest developments around the Gemini 3.5 Flash model, the Anti-Gravity CLI, and the treatment of customers like Railway. He begins with a warning that his criticism could jeopardize his career, as Google has previously demonetized videos and restricted his reach. Despite these risks, he wants to expose the problems he sees with Google’s current products and decisions.

  The main points of criticism include:
  1. **Gemini 3.5 Flash Model**: Although the model performs well in some benchmarks, it is extremely inefficient in token usage, making it very expensive. The YouTuber shows examples where the model fails to execute tasks correctly, such as rewriting a simple game that works seamlessly with other models like GPT-55.
  2. **Anti-Gravity CLI**: The successor to the open-source Gemini CLI is, according to the YouTuber, heavily flawed and user-unfriendly. Additionally, Google has discontinued support for the open-source Gemini CLI and replaced it with the closed Anti-Gravity CLI, disappointing the community.
  3. **Customer Treatment**: Google suspended the account of Railway, a customer spending over $2 million per month, without providing reasons, causing massive outages. The YouTuber mentions similar incidents in the past that demonstrate Google Cloud’s unreliability.

  The YouTuber emphasizes that Google, despite its resources and talent, is no longer producing good products due to internal politics and lack of collaboration. He stands behind former Google employees who tried to create meaningful solutions and criticizes the decision to end their work in favor of a closed, flawed product.

  The YouTuber specifically discusses Google’s Gemini 3.5 Flash, Anti-Gravity CLI, and Google Cloud. The video is geared more towards Intermediate or Advanced viewers, as it covers technical details and benchmarks.

• Spending $40,000 in Copilot for $40
  19.5.2026, 02:25:55

  The video discusses recent changes to GitHub Copilot’s billing model, transitioning from a fixed message limit to a token-based billing system. The author, who uses a free Copilot Plus license, demonstrates how to exploit the old system to incur significant inference costs. He shows how by strategically using Copilot with complex cryptography puzzles and agentic workflows, he drives up Microsoft’s costs. The author argues that the billing model change was necessary because the old system was unsustainable and Microsoft lacked sufficient computing power to meet demand. He emphasizes that this is not a “rug pull” but rather a necessary adjustment to continue operating the program.

  Closing comment: The video specifically addresses GitHub Copilot, Claude Code, Codex, Cursor, OpenAI, and Anthropic. It is geared more towards Intermediate and Advanced users.

• AI Is Hacking Everything Now…
  15.5.2026, 20:09:07

  The video discusses a series of severe security vulnerabilities and exploits in various software and operating systems, particularly Linux. Several critical security issues are highlighted, including “Copy Fail,” “Dirty Frag,” and an attack on 84 Tanstack npm packages. The speaker emphasizes that the speed and frequency of these exploits are alarming and that traditional security practices, such as the 90-day disclosure period, are no longer sufficient. He argues that the use of AI has accelerated and simplified the discovery and exploitation of security vulnerabilities, leading to a new era of software security.

  The speaker suggests that the industry must make drastic changes to address these new challenges. These include introducing a new tier of trusted actors who are informed of security vulnerabilities early, as well as a fundamental shift in open-source culture to control and delay code disclosure. He also emphasizes the need to build software more securely from the ground up, for example by using safer programming languages like Rust and developing better architectures.

  The speaker also shares personal measures he takes to protect himself from these threats, such as regularly creating backups and educating his family about security risks. He concludes with the hope that his warnings are taken seriously and that the industry will work together to find solutions to address growing security challenges.

  AI Tools/Models/Providers: Claude, OpenAI, Gemini, Open-Source (Linux, npm packages, Tanstack), Mythos, OpenAI Daybreak, GPT-4.7, Claude Opus 4.7, Gemini 31 Pro, GPT-5.5

  Target Audience: Intermediate to Advanced.

• I’m done.
  14.5.2026, 10:08:59

  The video addresses Anthropic’s announcement that as of June 15, paid Claude plans will receive a dedicated monthly credit for programmatic usage. This credit covers use of the Agent SDK, Claude-P, and third-party apps based on the Agent SDK. The speaker is disappointed because this change severely restricts Claude’s use in third-party tools like T3 Code, OpenClaude, and others, reducing usage limits by 25 to 40 times. He criticizes Anthropic for failing to provide clear communication despite months of requests, and now presenting a solution that feels more like a restriction than an improvement. The speaker emphasizes that this is an attack on open-source projects and that Anthropic is heavily restricting open and programmatic usage. He announces that T3 Code will introduce an option to choose between the enhanced user interface and the original but limited usage. He advises viewers to use alternative solutions like Codex and expresses his disappointment with Anthropic’s behavior.

  **AI Tools/Models/Providers:** Claude (Anthropic), OpenAI, Codex, OpenClaude, T3 Code, Agent SDK, Claude-P, Open Source
  **Target Audience:** Intermediate to Advanced

• Stop letting your agents write Markdown.
  13.5.2026, 06:46:31

  The video discusses the pros and cons of Markdown compared to HTML, particularly in the context of use by AI agents. The author argues that while Markdown is simple and portable, it is in many cases too limiting and should be replaced with HTML, which enables richer and more interactive content. He refers to articles by Thoric and Andrej Karpathy that share similar views and provides examples of how HTML can be used for various tasks like planning, code reviews, and designs. The author emphasizes that HTML provides higher information density, is easier to read and share, and enables interactive elements. He concludes with the thesis that the future of human-machine interaction could lie in interactive videos and simulations, and encourages viewers to use HTML as a starting point and continue exploring.

  The video specifically addresses Claude Code, Anthropic, OpenAI, and specific tools like Copilot Kit. It is geared more towards Intermediate to Advanced users who work with AI agents and their output formats.

• I wish this was clickbait
  12.5.2026, 10:52:14

  The video discusses the future of Bun, a JavaScript toolkit originally written in the Zig programming language. The speaker, a long-time Bun supporter, expresses concerns about Bun’s stability and future, particularly on Windows, and mentions that some developers like Dax from Open Code have switched to Node.js because of these issues. A central topic is the Bun team’s decision to rewrite Bun in Rust to fix stability issues and improve maintainability. The speaker highlights that while this reimplementation is promising, it also brings new challenges, particularly due to extensive use of “unsafe” code in Rust, which points to potential security and stability risks. He also discusses the integration of Bun into Claude Code, a tool from Anthropic, and the potential impact of Claude Code’s current issues on Bun’s development. The speaker concludes with hope that the Rust reimplementation of Bun will succeed, though he remains skeptical about short-term benefits.

  The video specifically addresses the AI models and tools Claude and Mythos and is geared more towards Intermediate to Advanced users.

• We all fell for it…
  11.5.2026, 06:45:20

  The video discusses the impact of AI code tools on developers’ skills and work methods. The speaker shares personal experiences and reflects on the pros and cons of these tools, particularly regarding productivity, cognitive atrophy, and AI dependency.

  Key points of the video:

  1. **Productivity Gains**: AI code tools enable developers to work faster and more efficiently by automating repetitive tasks and solving complex problems.

  2. **Cognitive Atrophy**: Excessive use of AI tools can lead to developers losing their skills because they engage less with code details. This is referred to as “cognitive debt.”

  3. **Dependency and Vendor Lock-in**: Developers can become dependent on specific AI tools, which can cause problems if these tools become unavailable or costs increase.

  4. **Quality of Work**: AI tools can improve code quality by reducing errors and suggesting better solutions. However, they can also lead to superficiality if developers don’t fully understand the suggested solutions.

  5. **Work Method**: The speaker emphasizes the importance of using AI tools as a means to improve one’s own work, rather than relying entirely on them. He suggests using AI tools for planning, brainstorming, and research while handling implementation yourself.

  6. **Vendor Lock-in and Reliability**: The speaker argues that developers should not depend on a single AI tool. He recommends using different tools and providers to increase reliability and flexibility.

  7. **Long-term Impact**: The speaker warns that excessive use of AI tools can negatively impact developers’ careers in the long term if they don’t continue developing their skills.

  The video specifically addresses AI tools and models such as Claude, OpenAI, Gemini, and specific tools like Cursor, Browserbase, and T3 Code. It targets Intermediate and Advanced developers who want to explore the impact of AI on their work.

• Anthropic just…wait what
  7.5.2026, 09:08:36

  The video discusses the current partnership between Anthropic and SpaceX (or rather, Elon Musk’s XAI) and the associated strategic implications for the AI industry. Anthropic, a leading AI provider, faces a massive compute problem, as demand for their models, particularly Claude, far exceeds available computational resources. This scarcity has led to restrictions on usage limits and price adjustments, which, however, are not primarily aimed at profit maximization but rather at making more efficient use of limited compute resources. The partnership with SpaceX, which has significant compute capacity, is intended to close this gap. At the same time, the strategic importance of Cursor, an AI-powered coding tool with valuable data essential for training AI models, is highlighted. The analysis shows that both Anthropic and XAI are attempting to compensate for their respective weaknesses (compute and data) through this cooperation, while OpenAI remains in the background as the main competitor. The video analysis is detailed and suitable for Intermediate to Advanced users, as it provides in-depth insights into the strategic decisions and technical infrastructure of the AI industry. Specifically addressed are Anthropic, SpaceX/XAI, Cursor, OpenAI, and specific compute infrastructures such as Nvidia GPUs and various cloud providers.

• Cursor just crushed Claude Code
  24.5.2026, 20:56:58

  The video discusses the release of Composer 2.5, a new model from Codium that specializes in code tasks and is described as highly effective and fast. The speaker emphasizes that despite limited external benchmarks, Codium shows impressive results and challenges the strength of major AI labs. The pricing structure of AI models is also explained, with input and output tokens as well as token usage efficiency playing a role. Composer 2.5 is presented as a cost-effective and powerful alternative to more expensive models like GPT-5.5 and Opus 4.7. The speaker highlights Codium’s collaboration with SpaceX AI, which gives them access to significant computational resources and data. The challenge of continuous integration (CI) and the benefits of Blacksmith as a fast and inexpensive CI service are also mentioned. The video concludes with speculation that Codium might have the best AI for code in the near future.

  The video specifically addresses Codium’s Composer 2.5, OpenAI, Anthropic, and specific tools like Blacksmith. It is geared more towards Intermediate to Advanced users.

• This is bad…
  21.5.2026, 09:10:17

  The video addresses recent security incidents at GitHub, particularly unauthorized access to internal repositories caused by a compromised VS Code extension. The speaker criticizes GitHub’s lack of security and infrastructure, including frequent downtime and lack of leadership. It is highlighted that attackers gained access through a poisoned VS Code extension distributed via the VS Code Marketplace. The extension had 2.2 million installations and was marked with a verified publisher badge, underscoring the severity of the incident. While GitHub has taken measures to contain the incident, the speaker is skeptical about whether these will be sufficient.

  Another focus is on repeated security issues at npm and GitHub and Microsoft’s inadequate response. It is emphasized that current security measures, such as trusted publishing, are insufficient and could even be part of attacks. The speaker calls for fundamental changes to publishing and updating processes to prevent such incidents in the future. The role of third-party providers like Socket and Aikido is also highlighted, as they are better equipped to detect and report such security vulnerabilities.

  In conclusion, Microsoft and GitHub’s responsibility to implement necessary security measures to protect the open-source community and its users is emphasized. The speaker is frustrated by Microsoft’s lack of response and calls for urgent action to close security gaps and ensure the integrity of the software supply chain.

  The video specifically addresses GitHub, Microsoft, VS Code, npm, and specific tools like Socket and Aikido. It is geared more towards Intermediate and Advanced users familiar with software security and the technical details of GitHub and npm.

Liam Ottley (1 new video)

• Claude Managed Agents Will Make Millionaires (do this now)
  20.5.2026, 02:09:16

  The video discusses the significance and application possibilities of Claude Code Managed Agents, a new technology from Claude that is promoted as a powerful tool for business applications. The speaker, Le Mley, emphasizes that these agents enable you to create a kind of artificial intelligence (AI) for enterprises that serves as a central work environment and enables continuous learning. He explains that these agents can be hosted in the cloud and you only pay for actual runtime, making them cost-effective. By connecting with databases, documents, and custom tools, these agents can act as long-term, learnable assistants that update themselves overnight and manage their memories. Le Mley compares this to human cognitive architecture and emphasizes how this technology can help enterprises work more efficiently and solve problems. He also mentions OpenAI and its competing products, highlighting the advantages of Claude Code Managed Agents. The speaker encourages viewers to engage with this technology and explore its application possibilities, particularly regarding the creation of products or services for customers.

  The video explicitly addresses Claude Code Managed Agents and OpenAI and is more geared toward intermediate and advanced users.

Productive Dude (1 new video)

• Automate ANYTHING with Claude! (Here's how…)
  29.4.2026, 13:01:22

  The video demonstrates how to automate your business with Claude across three different levels: from simply using Claude in chat to integrating Claude into a custom platform. The three levels are:

  1. **Level 1: Basic Chat Capabilities**
  – A Skill is created in Claude by building a folder structure with a `skill.md` file, reference files, and examples.
  – The Skill is uploaded and used in Claude to automate tasks like lead scoring and email drafting.
  – Example: A lead qualifier Skill that scores leads and generates email drafts.

  2. **Level 2: Routines with Skills and Connectors**
  – Skills are stored in a GitHub repository and used in Routines triggered on a schedule or by triggers.
  – Example: A Routine that scores all leads from the past week every Monday at 8 AM and generates email drafts.
  – Integration with tools like Google Drive and Gmail to read leads and create email drafts.

  3. **Level 3: Custom Platform**
  – Building your own CRM platform that communicates directly with Claude.
  – Using a Model Context Protocol (MCP) Server or direct API calls to score leads and create emails.
  – Example: A custom CRM platform that reads leads from a form, scores them, and generates emails.

  The video walks through step-by-step how to implement these levels, from creating a simple Skill to integrating it into a custom platform.

  Final Note: The video explicitly focuses on Claude and is geared toward intermediate to advanced users.

Nick Saraev (3 new videos)

• I Built a $1M/y SaaS with Claude Code, Here’s How
  20.5.2026, 13:30:22

  The video describes the process of developing and monetizing an AI-powered power dialer called Clarvo, built with Claude Code. The speaker shares his experiences and learnings on how they achieved one million dollars ARR (Annual Recurring Revenue) with Clarvo.

  First, the product Clarvo is introduced, an AI-powered power dialer that helps companies make more calls per time unit and increase the number of successful connections. This is particularly useful in industries that rely heavily on phone prospecting, such as HVAC, plumbing, and roofing.

  The speaker explains how they worked with Claude Code to find various solutions for improving call completion rates. They started by defining the problem and asked Claude Code to enumerate all possible solutions. Then they filtered out the feasible ideas and implemented them in simulations to find the best solutions. One successful approach was “Predictive Pacing,” where multiple calls are made simultaneously to increase efficiency.

  Another important point is pricing strategy. The speaker emphasizes that they gradually increased the price until it became difficult to find customers. They started at $100 per month and raised the price to $250 per month, which proved successful.

  The speaker also warns against using too many frameworks and tools, as they often create more problems than they solve. Instead, he recommends focusing on the fundamental capabilities of the model and minimizing complexity.

  Finally, the speaker emphasizes the importance of selecting problems that are truly valuable to customers and for which they’re willing to pay. He advises focusing on industries that have large budgets and where solving the problem provides significant added value.

  The video explicitly features Claude Code and is more suited for intermediate or advanced users who already have experience developing SaaS products.

• How to Build Mobile Apps with Claude Code: Full Course (2026)
  11.5.2026, 17:51:20

  **AI Tools/Providers covered:** Claude, OpenAI, Gemini, Open-Source, specific tools like Cursor, Lovable, Cline, n8n

  **Target audience:** Intermediate

• How to Use Claude Code for FREE (2026)
  2.5.2026, 01:02:11

  The video shows how to use Claude Code for free by using an open-source alternative called “Free Claude Code.” This alternative enables using the same Claude Code interface but with cheaper backend models that offer approximately 80-90% of the quality of Opus 4.7 at 2-5% of the cost. The creator demonstrates the setup and usage of this alternative by building a simple habit-tracking app. Various models and platforms like Open Router, NVIDIA NIM, and Ollama are presented as backends for the free Claude Code alternative. The creator also shows how to set up and use these models, as well as how to optimize quality and costs by combining different models. The video is aimed at intermediate users who already have experience with Claude Code and are looking for a cost-effective alternative. Specific tools and models like DeepSeek V4 Flash, GLM 4.7, and Gemma 4 are covered.

Leon van Zyl (10 new videos)

• Why I Use Claude Code to Build Every Portfolio Now
  19.5.2026, 14:00:24

  In this video, Leon demonstrates how to design a personal portfolio website that looks and functions like a Coding Agent CLI (similar to Claude Code). The process begins with creating a new Next.js project and installing Skills like “next best practices” and “front end design”. Leon uses Claude Code to build the website by using specific prompts that generate a terminal-like user interface and animated responses. The website can be connected to a knowledge base, allowing visitors to ask questions and receive answers. Leon also demonstrates how to deploy the website on a hosting platform and automatically update it when code changes are made.

  The video explicitly covers Claude Code and Next.js and is best suited for intermediate users who already have basic web development knowledge.

• Claude Code Agent View: Parallel Agents Are Here
  14.5.2026, 10:51:58

  The video reports on a complex supply chain attack on open-source packages in the npm ecosystem, affecting over 100 packages with over 50 million weekly downloads. The attack exploited a vulnerability in Tanstack’s release process when an attacker created a pull request in a fork of the repository, triggering the CI/CD workflow. Using the “pull request target” option, the attacker was able to inject malicious files into the shared cache of the CI server, which later stole a valid npm publish token and published compromised package versions. The malware spread further by searching for additional npm publish tokens and infecting more packages, including those from Mistral AI, UiPath, and Open Search. The malware integrated deeply into developer environments and even employed a “dead man switch” that deleted the root directory of the infected system upon detection.

  To defend against such attacks, the video recommends using PNPM 1 or higher, which offers features like “minimum release age”, “block exotic subdependencies”, and “approved builds” to prevent the installation of malicious packages. Additionally, Sentry is presented as a tool for error tracking in production, working with an AI-powered agency called Seir to automatically investigate and resolve issues.

  The video covers specific tools such as PNPM, Sentry, and Seir Agent and is aimed at intermediate to advanced users.

• Codex CLI Full Tutorial: Build Your First AI Image Generator from Scratch
  11.5.2026, 11:17:21

  This video walks through building an AI image studio step-by-step for creating YouTube thumbnails, posters, banners, and other graphic content. The process begins with setting up a Next.js project using the Codex CLI tool, which is based on GPT-5.5 and a high reasoning level. A database is set up using Docker and Postgres, and necessary tables for user authentication are migrated.

  The focus is on designing a user-friendly interface that enables users to upload reference images, write prompts, and generate images. The developer uses Codex’s capabilities to design and test the user interface, while ensuring compliance with a predefined design system. After designing the interface, the actual functionality is implemented, utilizing the OpenAI API key for the GPT-4 Image model. The developer shows how to upload reference images and assets and how to generate thumbnails that combine these elements.

  At the end, the user interface is adjusted to ensure image generation only occurs through the dashboard and not from the homepage. The homepage is redesigned with a generated image and marketing text. The video emphasizes efficiency and time savings through using Codex and OpenAI, while noting the token limitations of the ChatGPT Plus plan.

  The video explicitly covers OpenAI (GPT-5.5, GPT-4 Image model) and Codex. It’s aimed at intermediate and advanced users as it covers advanced concepts such as Docker, Postgres, Next.js, and API integration.

• Create Custom OpenCode Agents #Shorts #OpenCode #AICoding
  10.5.2026, 07:00:16

  The video demonstrates how to create custom agents in OpenCode. By default, there are two agents: “build” and “plan”. To create a custom agent, you run the command `open code agent create` in the terminal. You then provide a description of the agent, such as an agent named John that only responds with emojis. After creation, you can use the spacebar to specify which functions or tools the agent can access. You also select the agent mode: either for primary and subordinate roles or only as a subordinate agent. The video demonstrates creating a subordinate agent named John and shows how the main agent delegates a task to John. You can monitor the subordinate agent’s work and view its reasoning and outputs. The video concludes by noting that this is just a demonstration and that in practice, you could use more specific system prompts and tool access for subordinate agents.

  The video covers OpenCode and is suitable for intermediate users.

• OpenCode’s Best Hidden Feature #Shorts #OpenCode #AICoding
  9.5.2026, 07:00:19

  The video explains how to set different models for different modes in OpenCode. For example, you can use a powerful model like GPT-5 for planning mode and a fast, cost-effective model like Big Pickle for implementation mode (Bold Mode). Alternatively, you can use GPT-5.5 for planning but reduce effort by selecting the “/variants” command with the “low effort” option. This way, planning is created by an intelligent model while implementation is handled by a less powerful but faster model.

  The video covers open-source models and is aimed at intermediate users.

• I Turned Hermes Agent Into a Coding Agent
  8.5.2026, 11:02:33

  The video shows how to use the Hermes Agent as a coding agent to build a web app and deploy it online. The process includes setting up the Hermes Agent on a VPS, integrating it with Telegram for communication, installing the Vercel CLI tool for deployment, and configuring the necessary Skills for the agent. The creator tests whether the agent can create a personal portfolio page by scraping information from the creator’s YouTube channel and designing an appealing frontend. The agent successfully creates the app, deploys it to Vercel, and provides a public URL that opens the app in a browser. The video also demonstrates that the agent can make changes to the app and deploy them automatically.

  The creator concludes that Hermes is suitable as a coding agent for simple tasks and quick dashboards, but not for complex software projects. The video explicitly covers Hermes Agent, OpenAI Codex, GPT 5.5, Vercel, and Telegram. It’s aimed at intermediate and advanced users.

• This free OpenCode trick saves thousands #opencode #aitools #hacks
  7.5.2026, 13:38:39

  The video explains how to use free AI models for code generation in OpenCode. First, you need to run the “connect” command and look for “OpenCode Zen” under Provider. Then you generate an API key through a provided URL, which is free. After entering the API key, you receive a list of supported models, including Big Pickle, HY3, Minimax M2.5, and Nvidia’s Neurotron 3 Super. These models are powerful and completely free.

  The video covers OpenCode and OpenCode Zen and is aimed at intermediate users.

• I Built a Coding Agent That Runs Locally for Free
  6.5.2026, 12:25:00

  The video introduces the open-source tool “Honeyfree”, which allows you to autonomously plan and implement software projects. You describe to the tool what you want to build, and it plans the features, adds them to a Kanban board, and implements them automatically. The tool supports various models like Alum Studio and Ollama and can break down complex tasks into smaller features. The user demonstrates creating a simple to-do app and shows how to add and implement new features. The video emphasizes that this is now possible with free models, which wasn’t the case a few months ago. It also explains how to download models like Qwen 3.6 or JML4 and use them in Alum Studio or Llama Studio. The user recommends increasing the context window length of models to at least 64,000 tokens for better performance. The video also shows how to install and set up Local Forge to create and manage projects. It’s emphasized that free models are good at writing code but benefit from more detailed instructions for better results. The user recommends using a paid model like Claude for planning features, while using free models for actual implementation. The video ends with an invitation to sign up for a masterclass course teaching how to build applications with coding agents.

  The video covers open-source models like Qwen 3.6 and JML4, as well as tools like Alum Studio, Llama Studio, and Local Forge. It’s aimed at intermediate and advanced users who already have experience with AI models and software development.

• OpenCode Tutorial for Beginners: Setup, Agents, Skills & MCP
  5.5.2026, 12:33:17

  This video is a tutorial showing how to create a Next.js application with OpenCode, an open-source AI tool. The process begins with installing and setting up OpenCode, including connecting with various AI models and providers, both free and paid. The tutorial demonstrates how to add agent capabilities like Frontend Design and Next.js Skills to improve the quality of generated code. It also shows how to use memory files and design systems to increase agent consistency and efficiency. The tutorial continues with creating an application that allows users to input a rough idea of their app and receive a detailed project plan. The agent uses subagents to execute tasks in parallel and protect the main context. At the end, the application is tested and improved, with the agent completely redesigning the UI and running automated tests. The video is suitable for intermediate and advanced users interested in AI-powered coding tools.

  AI Tools/Models/Providers: OpenCode (Open-Source), OpenAI, Anthropic, Gemini, OpenRouter, BigPikko, HY3, Minimax, Nvidia, Vercel, Cintra AI.

• Stop Building Apps AI Agents Can’t Use
  21.5.2026, 14:00:29

  The video shows how to build an agent-capable app from scratch that can interact with AI agents like Claude, ChatGPT, and others. The focus is on integrating the Model Context Protocol (MCP) Server, developed by Anthropic, to enable AI agents to access various platforms. The process includes creating a Next.js project, installing agent skills, planning and implementing the app with Claude Code, and setting up a Postgres database with Neon. The MCP server is tested and deployed both locally and in production to store and search prompts. At the end, the app is deployed on Vercel and the integration with the AI agent is successfully demonstrated.

  The video explicitly covers Claude, OpenAI, Anthropic, Next.js, Postgres, Neon, and Vercel and is aimed at intermediate users.

Tim Carambat (4 new videos)

• Llama.cpp Just Merged MTP And You Should Be Using It.
  18.5.2026, 17:45:34

  The video covers the introduction of Multi-Token Prediction (MTP) in Llama CPP, a popular tool for running AI models locally. MTP enables up to 25% faster token processing without quality loss by predicting multiple tokens simultaneously. The presenter, Timothy Carbat, explains how MTP works and compares it to speculative decoding (SSD), which requires two models, while MTP uses only one. He shows how to enable MTP in Llama CPP and which models support it, including Deepseek V3 and V4, Neotron 3, Quinn 3.5 and 3.6, and Gemma 4. Carbat demonstrates performance improvements using a benchmark with the Quinn 3.59B model and emphasizes the importance of adjusting the parameter for the number of predicted tokens (n_max). He concludes by noting that such software improvements make local AI use more efficient and sustainable.

  The video explicitly covers Llama CPP, Deepseek, Neotron, Quinn, and Gemma 4, and is geared toward intermediate and advanced users.

• A New AI Model Just Dropped With A CRAZY Claim.
  5.5.2026, 19:02:32

  The video discusses the announcement of a new model called SubQ from Sub Quadratic, which advertises a 12-million-token context window and allegedly 52 times higher efficiency compared to existing models. The creator, Timothy Karen, expresses skepticism due to missing technical reports and unclear benchmarks. He explains the underlying technology, which is based on “sparse attention,” and compares it with conventional and Flash Attention mechanisms. The benchmarks show that the model performs well in certain tests like SWEBench verified and MCRV2, but it’s unclear whether these results apply to the 12-million-token model or a 1-million-token preview. Timothy Karen applied for early access and will share the results in a future video.

  The video explicitly covers the SubQ model from Sub Quadratic and is geared toward intermediate or advanced viewers.

• Hey Anthropic, That Looks Illegal?
  29.4.2026, 21:41:25

  **Summary:**

  Timothy Carbat reports from San Francisco, where he’s attending the AMD AI Dev Day and speaking about the use of local models. He criticizes narratives that AI can replace people, emphasizing that AI is a tool that should be used by humans.

  A central theme of the video is the “enshittification” of AI tools, particularly Claude. Anthropic attempted to remove Claude Code from certain subscriptions and later reversed this decision. Additionally, there was a billing issue where users with certain character strings in their Git history were incorrectly charged extra fees. This led to negative user backlash, as Anthropic initially refused refunds but later offered a solution.

  Carbat argues that such issues indicate that companies like Anthropic are resorting to questionable methods due to cost concerns. He recommends using open-source tools like pi.dev or Hermes Agent in combination with local models to avoid such problems.

  **Closing Comment:**
  The video explicitly covers Claude from Anthropic and open-source tools like pi.dev and Hermes Agent, and is geared toward intermediate users.

• The Cloud AI Situation is Bad.
  28.4.2026, 17:00:17

  The video discusses the “enshittification” of AI tools—the degradation of services and products over time, often accompanied by price increases and feature removal. The author uses examples like Airbnb, Uber, and Netflix to illustrate this phenomenon but focuses primarily on AI-specific examples like GitHub Copilot and Claude Code. With GitHub Copilot, plans were heavily restricted, models were removed, and terms of service were worsened, resulting in a significant decline in service quality. The situation with Claude Code is similar, with features removed and usage limits introduced, negatively affecting user experience. The author argues that these developments indicate that cloud-based AI services are not sustainable long-term and that local AI solutions represent the better alternative. Local AI models offer stability since they don’t depend on external factors like price increases or feature removals. Furthermore, local models are now powerful enough to handle many tasks previously done in the cloud. The author emphasizes that local AI is the future and that many tasks, particularly productivity and coding-related ones, could be shifted to local machines in the near future.

  Closing Comment: The video explicitly covers GitHub Copilot, Claude Code, and local AI solutions like Anything LLM. It’s geared toward intermediate and advanced users interested in the technical and economic aspects of AI.

WorldofAI (10 new videos)

• Gemini 3.5 Flash: Google’s Most Powerful Model Ever! Beats Opus 4.7 & GPT 5.5? (Fully Tested)
  20.5.2026, 06:43:51

  The video discusses the introduction of Google Gemini 3.5 Flash, a new fast and efficient model presented at the Google IO developer conference. The creator has mixed feelings about it, as while it’s technically impressive, it also has some drawbacks. The model is faster and more powerful in code editing than previous versions, but it’s also more expensive and consumes more tokens. It’s good for complex tasks like planning and understanding large codebases, but costs can be higher than other models. The creator tests the model in various areas like frontend design, SVG generation, and 3D world creation, finding it performs very well in these areas. However, there are also some weaknesses, such as excessive ambition and high token consumption, which can lead to truncation in large projects. Overall, the creator considers the model a solid release from Google, especially for Google subscription users. The video is better suited for intermediate and advanced users and specifically addresses the Google Gemini 3.5 Flash model.

• Google I/O LEAKED! Gemini Desktop App, Veo 4, Qwen 3.7, Composer 2.5, Mythos Soon, & More! AI NEWS
  19.5.2026, 06:45:31

  The video summarizes the week’s major AI news, focusing on Google, Anthropic, Alibaba, Cursor, and others. Google is about to release new Gemini models, including Gemini 3.5 Flash, which should excel in speed and efficiency. There are leaks about new features like a Gemini desktop app that enables local agent workflows and integration with Google Drive. Additionally, Google might introduce the VIO 4 model, a new video generation model. Anthropic is reportedly preparing the launch of Claude Mythos, while Alibaba has released Qwen 3.7, a new multimodal model that can compete with top models like GPT 5.5 and Gemini 3.1 Pro. Cursor has released Composer 2.5, which according to tests can keep pace with Opus 4.7 while being more cost-effective. Open Design introduced a new feature for Codex integration, making UI generation easier. HRM text, an ultra-lightweight model with only 1 billion parameters, shows promising results with minimal training effort. Boston Dynamics unveiled a video showing their humanoid robot Atlas carrying and manipulating a refrigerator, demonstrating advances in combining physical control with AI.

  The video specifically addresses Google (Gemini, VIO 4), Anthropic (Claude Mythos), Alibaba (Qwen 3.7), Cursor (Composer 2.5), open-source tools (Open Design, HRM text), and Boston Dynamics (Atlas). It’s geared more toward intermediate and advanced users.

• Hermes Agent Foundation Update: Real-Time Agents, DeepSeek V4 FREE, Native Windows Support, & More!
  18.5.2026, 06:16:23

  The video covers the latest version 0.14.0 of the open-source AI agent Hermes, developed by Nous Research. Key updates include:

  1. **Local Proxy Feature**: Allows using a single subscription (e.g., Claude, ChatGPT, Grok) for various tools and agents without separate API keys.
  2. **Windows Support**: Native Windows support in beta, simplifying installation and usage.
  3. **Performance Improvements**: Faster startup times, optimized browser automation, and improved caching mechanisms.
  4. **Video Generation**: New capability for autonomous video creation within workflows.
  5. **Supergrok Integration**: Direct support for Grok’s Supergrok subscription, including access to Grok 4.3, text-to-speech, image and video generation, and X-Search.
  6. **Handoff System**: Enables seamless switching between models or personas without losing context.
  7. **Further Improvements**: Integrated X-Search, vision model support, Discord history backup, LSP semantic diagnostics, and more.

  The video is better suited for intermediate to advanced users and specifically addresses open-source tools like Hermes Agent, N8N, and Grok.

• Stop Paying $200/Month for Claude Code! Here’s a FREE Option!
  17.5.2026, 05:59:20

  The video introduces Mistral Vibe, an open-source and partially free tool for AI-powered development, positioned as an alternative to Claude Code and Cloud Code. Mistral Vibe is a terminal-based AI coding agent that can write, test, refactor, and even deploy code. It supports asynchronous tasks, integrates with tools like GitHub, Jira, and Slack, and offers customizable agent workflows for automating long-term tasks. Particularly highlighted are the abilities to document shell aliases, create sub-agents for specific tasks like PR reviews and test generation, and use slash commands for repeated tasks. The tool is free and open-source, with the option to use your own API keys. For intensive use, there are paid plans like Lay Chat Pro ($14.99/month) and Late Chat Team ($24.99/seat/month), with students receiving 50% discount. Installation is simple via Bash or Python methods, with additional integrations for VS Code and JetBrains IDEs.

  The video shows the installation and basic usage of Mistral Vibe, including creating a frontend landing page and generating tests for a codebase. It emphasizes that Mistral Vibe enables efficient automation through asynchronous agents and parallel execution. The conclusion recommends Mistral Vibe as a cost-effective and powerful alternative to existing tools, especially for developers seeking terminal-based automation.

  **Final Comment:** The video addresses Mistral Vibe (open-source) and is geared more toward intermediate and advanced users.

• Gemini 3.5 Flash + Pro: Powerful, Cheap, & Fast NEW AI Model! (Fully Tested)
  16.5.2026, 06:11:06

  The video discusses the latest developments and leaks regarding Google’s Gemini models, particularly the checkpoints for Gemini 3.5, which are expected to be unveiled soon at the Google IO conference. Initially, the Gemini 3.2 variants (Fanta, Sprite, Cola) and the Pro version were presented, which were good but not revolutionary. However, the latest checkpoints, internally referred to as “Cappuccino,” show impressive progress. Particularly notable is the model’s ability to generate complex applications like a Minecraft clone or a Mac OS clone, with detailed and consistent outputs. The Gemini 3.5 Flash variant shows strong improvements in code generation, aesthetic design, and spatial consistency, though it sometimes remains repetitive and cluttered in UI generation. There are also hints at a secret testing phase for the Gemini 3.1 Pro variant, which is also delivering promising results.

  The video specifically addresses Google’s Gemini models and is geared more toward intermediate to advanced users interested in the latest developments in AI technology.

• Hermes Agent + DeepSeek V4 (FREE) = GOD TIER
  25.5.2026, 07:02:02

  The video presents the latest update to the Hermes Agent, which now enables free use of the DeepSeek Version 4 model via the news portal. This combination offers near state-of-the-art performance in reasoning, coding, long context windows, and autonomous agent functions, all free within an open-source AI agent framework. Hermes Agent is a persistent, autonomous system that continuously evolves, building long-term memories, reusable skills, and deeper understanding of the user.

  To get started, Hermes Agent must be installed locally, which is now also supported for Windows operating systems in beta. After installation, you can log into the news portal and select the free tier to access models like DeepSeek Version 4. Using simple commands in the command prompt, you can configure and use the desired model. The video demonstrates using DeepSeek Version 4 for various tasks, such as creating research reports and generating HTML reports.

  DeepSeek Version 4 is described as fast and efficient, with a large context window of 1 million tokens and strong capabilities in reasoning, coding, and autonomous workflows. It also shows how the agent can use various tools to automate tasks, such as conducting web research and creating reports. Despite some bugs and the need for further refinement, the combination of Hermes Agent and DeepSeek Version 4 offers a cost-effective and powerful solution for various use cases.

  The video specifically addresses Hermes Agent, DeepSeek Version 4, and the news portal, gearing itself more toward intermediate and advanced users willing to work with open-source tools and command-line commands.

• Claude Opus 4.8 Leaked, GPT 5.6 Spotted, Mythos 1 Preview, & Deepseek v4 Pro UPDATE! AI NEWS
  24.5.2026, 06:54:40

  The video discusses current developments in AI models and applications. Key points include:

  1. **Anthropic’s Mythos 1**: Anthropic’s new flagship model, Mythos 1, is apparently being prepared for use in various Claude apps like Claude Code and the SDK. Some users have already spotted traces of the model in the app. Anthropic could release a thinned-down version of Mythos within the coming months.

  2. **Anthropic’s Sonnet and Opus**: The new Sonnet 4.8 and Opus 4.8 models were discovered on Google Vertex AI, suggesting an impending release. Sonnet 4.8 is expected to bring significant improvements in visual understanding and coding performance, though it might also have higher token consumption.

  3. **OpenAI’s GPT-5.6**: OpenAI is preparing the release of GPT-5.6, which is already showing strong multi-step reasoning and improved agent workflows in internal tests. Release is expected in June, along with GPT-5.6 Pro.

  4. **DeepSeek**: DeepSeek has permanently reduced pricing for its DeepSeek Version 4 Pro model, making it a cost-effective option for developers. The model offers near state-of-the-art performance at significantly lower costs compared to OpenAI and Anthropic.

  5. **Anthropic’s Co-Work**: Anthropic is launching a new Co-Work referral program that rewards users for inviting new users. The program also includes cloud integrations for Excel, PowerPoint, Chrome, and Cloud Code.

  The video specifically addresses AI models and providers Anthropic (Claude, Mythos, Sonnet, Opus), OpenAI (GPT-5.5, GPT-5.6), and DeepSeek (DeepSeek Version 4 Pro) and is geared more toward intermediate and advanced users.

• Cursor Composer 2.5 Is REALLY Good & On Par With Opus 4.7 & GPT 5.5? (Fully Tested)
  23.5.2026, 07:07:00

  The video introduces the new coding model **Composer 2.5** from Cursor, which is up to 10 times cheaper than top models like Opus 4.7 and GPT 5.5 but delivers nearly comparable performance. Particularly noteworthy is the model’s high speed and efficiency, which performs well on benchmarks like Terminal Bench 2.0 and Swaybench Multilingual. Composer 2.5 is particularly strong in iteration speed and debugging, while it still slightly lags behind Opus 4.7 in frontend and web design. The model is based on the open-source checkpoint Kimik K 2.5 and shows some improvements over previous versions but still has some weaknesses, such as failing to execute certain actions and lacking representation of trade-offs.

  The video shows various examples where Composer 2.5 handles tasks like cloning the Mac OS UI, creating landing pages, and generating SVG graphics. It becomes clear that the model works quickly and functionally but doesn’t quite match Opus 4.7 in output quality. Nevertheless, Composer 2.5 is recommended as a worthwhile alternative to pricier models due to its affordable price and high speed.

  Final Comment: The video specifically addresses the AI model **Composer 2.5** from Cursor and is better suited for **intermediate** and **advanced** users.

• Qwen 3.7 Max: NEW Powerful AI Model! Beats Opus 4.6, Gemini 3.1, Deepseek v4! (Fully Tested)
  22.5.2026, 07:04:20

  The video introduces Qwen 3.7 Max, Alibaba’s new flagship model, specifically developed for the agent era. The model is characterized by its versatility, including advanced coding, debugging, frontend prototyping, complex refactoring, office workflow automation, multi-agent orchestration, and long-term autonomous execution. Performance-wise, Qwen 3.7 Max performs well on various benchmarks such as Terminal Bench 2.0 and Swaybench, and is comparable to models like Opus 4.6 Max and Kimik K 2.6, sometimes even surpassing them. It demonstrates outstanding capabilities in difficult logical reasoning and multilingual abilities. Particularly noteworthy is the model’s ability for long-term planning and execution, enabling it to maintain autonomous workflows over extended periods without losing context. The model is not multimodal and costs $2.50 per 1 million input tokens and $7.50 per 1 million output tokens. It can be accessed through a free chat app or via API. The video also shows examples of the model’s capabilities, such as creating a Mac OS clone, frontend development, SVG generation, and 3D scenes. Overall, Qwen 3.7 Max is promoted as one of the best Chinese models, comparable to frontier models in many areas.

  The video specifically addresses the AI model Qwen 3.7 Max from Alibaba and is better suited for intermediate and advanced users.

• Antigravity 2.0 UPDATE: NEW Agentic AI Coding Agent + Gemini Desktop App!
  21.5.2026, 07:15:18

  **Summary:**

  At the Google Developer Conference, Google unveiled several new AI updates, including the new Gemini 3.5 Flash model and the Omni video model. A key highlight was the introduction of Antigravity 2.0, which has now been split into separate apps: a standalone IDE (similar to VS Code) and an agent chat interface app for autonomous workflows. The split might aim to create a local AI agent app similar to Anthropic’s Co-Work or Codex. However, there is confusion and criticism, particularly due to reduced usage limits and less intuitive separation.

  New features in Antigravity 2.0 include dynamic sub-agents that can work in parallel, asynchronous and scheduled tasks, improved project management, and new slash commands such as `/goal`, `/drillme`, and `/browser`. Additionally, there’s live voice transcription, customizable skills, JSON hooks, and a new CLI/SDK for advanced workflows. Google AI Studio also received a new agent model called Antigravity Preview0526, which runs in a remotely hosted Linux environment and can execute code and use tools.

  Google appears to be unifying its entire AI infrastructure under the Antigravity brand, though this creates confusion as the split into separate apps is less intuitive. The new Antigravity CLI allows using agents directly from the terminal.

  **Final Comment:**
  The video addresses Google’s Antigravity 2.0, Gemini 3.5 Flash, Omni, as well as Anthropic’s Co-Work and Codex, and is geared toward intermediate to advanced users.

AI and Strategy | Le SamourAI (2 new videos)

• AI costs 85% less this week. You need to act on it.
  27.4.2026, 14:59:21

  The video analyzes strategic movements in AI infrastructure and models, particularly the impact of Deepsic V4’s launch in collaboration with Huawei. It draws a historical parallel to the Swiss watch industry and Japanese quartz technology to illustrate the current dynamics in the AI market. Deepsic V4 is an open-source model specifically optimized for Huawei’s Chinese hardware, positioning it as an alternative to US-dominated solutions like Nvidia and CUDA. The video discusses the strategic implications of this development, including potential impacts on OpenAI and Anthropic, as well as long-term effects on the AI market and the job landscape.

  The video explicitly covers Deepsic V4, Huawei, OpenAI, Anthropic, Nvidia, CUDA, and Google. It’s designed for intermediate and advanced users.

• What your AI assistants are secretly stealing from you (and it’s worth billions)
  21.5.2026, 15:15:01

  The video discusses the importance of forgetting and memory for artificial intelligence and human thinking. It begins by referencing a short story by Jorge Luis Borges from 1942, in which a boy remembers everything in detail after an accident but becomes unable to think. The thesis is that thinking requires forgetting to recognize patterns and form abstract concepts.

  The AI industry faces the challenge that models from Mistral AI, OpenAI, and Google are developing increasingly similar capabilities. The decisive factor will no longer be raw computational power, but rather the architecture of memory. Companies like Microsoft, Google, Atlassian, and SAP are investing billions in infrastructure that makes data readable for their agents.

  The video introduces the concept of the “second brain,” which goes back to the idea of using external systems to organize and retrieve knowledge. However, it criticizes the fact that many of these systems fail within six months because maintenance is too demanding. A new approach by Carpati, which uses a wiki system maintained by an agent, could solve these problems.

  It distinguishes between two main architectures: traditional RAG (Retrieval-Augmented Generation) and Carpati’s wiki approach. RAG systems like Pinecone, Perplexity, and Cursor are reactive and generate answers based on fragmented vectors. The wiki approach, by contrast, extracts concepts from sources and creates an interconnected wiki that can be queried directly.

  However, the video warns that the wiki approach is not perfect. Input errors can become embedded in the wiki and are difficult to correct. It emphasizes that memory architecture is crucial and that different systems have different requirements.

  For individual use, the wiki approach works well, while enterprises need more complex systems that also account for legal and confidential aspects. The video concludes by noting that control over one’s own memory and decision-making is crucial, and that users should establish and document their own rules to avoid dependence on AI vendors.

  The video covers various AI models and providers such as Mistral AI, OpenAI, Google, Microsoft, Atlassian, and SAP. It’s aimed at intermediate and advanced users who want to engage with the technical and strategic aspects of AI and memory systems.

Matt Pocock (8 new videos)

• I stopped using /grill-me for coding. Here’s what I use instead:
  14.5.2026, 14:22:56

  The author introduces a new tool called “Grill with Docs,” which represents an improved version of the previous “Grill Me” skill. The original “Grill Me” skill interviews the user to achieve shared understanding and make decisions iteratively. However, the author noticed that “Grill Me” often took too much time and didn’t document all relevant information. He therefore developed “Grill with Docs,” which uses a shared language (Ubiquitous Language) from Domain-Driven Design to improve communication between user and AI. This new tool searches for a “context.md” file that documents the shared language and updates it during the session. It helps sharpen unclear language, discuss concrete scenarios, and link them to code. The author demonstrates the use of “Grill with Docs” in a practical example and shows how it improves efficiency and clarity of communication with the AI. He emphasizes that “Grill Me” remains useful, but “Grill with Docs” is better suited for projects with an existing codebase.

  The video explicitly addresses Claude AI models and is aimed at intermediate or advanced users.

• Anthropic’s "dedicated monthly credit" is actually a huge cut
  13.5.2026, 20:12:51

  The video addresses the problem of AI-accelerated software entropy, where codebases decay faster because changes are often made without considering the entire codebase. The author presents his method for rescuing such codebases by drawing on software fundamentals and his improved codebase architecture capability. He explains key concepts such as modules, interfaces, implementations, deep and shallow modules, dependency graphs, seams and adapters, which come from John Ousterhout’s book “A Philosophy of Software Design.” Deep modules are particularly valuable because they hide significant implementation behind a simple interface, thereby increasing maintainability and usefulness. The author demonstrates the application of these concepts to his own codebase by using the “Improve Codebase Architecture” capability in Claude to identify and implement improvements. He emphasizes the importance of tests and the need for strategic decisions by the developer, as AI agents can be tactically strong but require strategic guidance. The video is aimed at intermediate to advanced developers who want to improve their codebases and leverage the benefits of deep modules. (Claude, Intermediate/Advanced)

• New Skills! /handoff, /prototype, /review and /writing-* | Skills Changelog
  12.5.2026, 09:56:10

  The video showcases the latest updates and improvements to a repository of AI Skills, which recently reached 70,000 stars on GitHub. The major new additions are two new skills:

  1. **Handoff skill**: This skill creates a handoff document that summarizes the current conversation, allowing a new agent to continue the work. The document is stored in a temporary file and includes suggestions for skills that should be used in the next step. The skill is particularly useful for switching between different context windows without losing important information. There are two main usage patterns: “Fire and Forget” and “DIY Sub Agent.”

  2. **Prototype skill**: This skill helps with creating prototypes, especially in UI development and creating logic prototypes for stateful applications. The skill generates multiple UI variants and enables testing and refining them interactively before implementation.

  Additionally, several bug fixes were introduced, including an improvement to the “Grill with Docs” skill through the use of XML tags to control prioritization of information, and adjustments to the “To PRD” and “To Issues” skills to use the correct labels.

  There’s also insight into two skills in development: one for writing text (Tripart Skill) and one for code reviews. The Tripart Skill helps structure text fragments into a complete story or article, while the Code Review Skill checks for adherence to coding standards and correct implementation of requirements.

  Finally, a documentation website is mentioned that contains videos for each skill and a newsletter to stay informed about the latest developments.

  The video explicitly addresses Claude usage and is aimed at intermediate to advanced users.

• Burn through the backlog from hell with /triage
  7.5.2026, 15:00:43

  The video introduces a tool called “Triage,” which was specifically developed for processing GitHub issues and other backlogs. It helps transform unstructured ideas and bug reports into clear, actionable tasks that can be handled by AFK agents (autonomous AI agents). The tool uses a state machine system with two categories (Bug and Enhancement) and five states (e.g., “needs triage,” “ready for agent,” “won’t fix”) to clearly classify each issue. Users can work through individual issues or the entire backlog to categorize them and, if needed, address them directly. The video shows a live demo where the creator applies the tool to his own repository “Sand Castle” to triage issues and even fix them directly. The integration with other skills, such as the “Diagnose” skill, which automatically reproduces and fixes bugs, is also demonstrated. The tool is designed to facilitate collaboration between human developers and AI agents by providing a clear structure for task management.

  The video explicitly addresses Claude usage and is aimed at intermediate or advanced users who already have experience with GitHub, backlog management, and working with AI agents.

• I Open-Sourced My Own AFK Software Factory
  30.4.2026, 13:28:38

  The video demonstrates how to orchestrate AI coding agents in isolated sandboxes using the TypeScript library “Sand Castle,” allowing them to run completely autonomously (AFK). The author explains that he tried various solutions but encountered problems with Docker sandboxes. Therefore, he developed Sand Castle, which allows agents to be controlled using simple TypeScript functions. The video demonstrates setting up Sand Castle in a repo, selecting an agent (e.g., Claude Code) and a sandbox (e.g., Docker), and using GitHub Issues as a backlog manager. It shows how to create a Docker image, set the required environment variables, and create a GitHub issue to be processed by the agent. The author explains the structure of the main.ts file, which orchestrates various agents (Planner, Implementer, Reviewer, Merger), and how these agents work in parallel and merge code commits. Finally, it shows how the agent creates a TypeScript template with tests and CI scripts and merges the changes into the main branch.

  The video explicitly addresses Claude (Anthropic), Docker and GitHub and is aimed at intermediate or advanced users.

• How To De-Slop A Codebase Ruined By AI (with one skill)
  29.4.2026, 15:09:12

  The video addresses the problem of AI-accelerated software entropy, where codebases decay faster because changes are often made without considering the entire codebase. The speaker introduces a method to rescue such codebases by relying on software fundamentals and improved codebase architecture. He explains key concepts such as modules, interfaces, implementations, deep and shallow modules, seams and adapters. Deep modules, which hide significant implementation behind a simple interface, are highlighted as beneficial. The speaker demonstrates the application of these concepts to a real-world codebase by using Claude’s “Improve Codebase Architecture” capability. This capability identifies improvement opportunities and guides the user through a process to structure and test the codebase. The speaker emphasizes the importance of tests and deep modules for the long-term health of the codebase and recommends applying the capability regularly.

  The video explicitly addresses Claude and is aimed at intermediate to advanced developers.

• 9 Things People Get Wrong With My /grill-* skills
  25.5.2026, 13:22:40

  The video covers the effective use of “Grill Me” skills and “Grill with Docs” skills, which are used as replacements for planning modes in agents. The author emphasizes that these skills aim to achieve shared understanding through targeted questioning, and that the quality of answers depends on the user’s planning competency. Nine common mistakes in using these skills are highlighted, including attempting to answer high-fidelity questions during a grill session, choosing too large a scope, being passive toward the agent, not valuing decisions made during the session, and using a model that’s too weak. The author recommends running sessions in parallel to increase efficiency and emphasizes the importance of proper context management.

  Final comment: The video addresses specific AI skills like “Grill Me” and “Grill with Docs” and is aimed at intermediate or advanced users.

• /handoff is my new favourite skill
  21.5.2026, 10:32:40

  The creator presents a skill called “Handoff,” which he developed to compress the context window from agent sessions into a Markdown file and hand it off to a new session. This allows for breaking down long sessions and focusing on specific tasks without compromising agent performance through cluttered context windows. The skill is particularly useful for grilling sessions to subdivide tasks or create prototypes and integrate the results back into the original session. The creator explains the advantages over the Compact function, which only creates a summary within the same session, and emphasizes the flexibility and efficiency of his skill. The skill is designed to exclude sensitive information and be tailored to the needs of the next session.

  The video explicitly addresses Anthropic (Claude) usage and is aimed at intermediate or advanced users.

Coding with Lewis (6 new videos)

• How Meta Went From Open Source Hero to AI’s Biggest Villain
  15.5.2026, 15:04:55

  The video tells the story of Meta and its open AI model Llama, which was released in 2023 and downloaded over a billion times within two years. Meta was praised for its open and accessible approach to AI, which enabled developers to use the model on their own hardware and build upon it. Llama 2 and Llama 3 followed, demonstrating impressive performance, with Llama 3.1 even competing with the best closed models from OpenAI and Google. However, Meta’s success was overshadowed by the release of DeepSeek v3 by a Chinese AI lab, which achieved similar performance at a fraction of the cost. This put pressure on Meta to release Llama 4, which ultimately proved to be a disaster. Llama 4 was released on a Saturday without warning and revealed three models, one of which, Behemoth, was still in development. The claimed performance of Llama 4 was quickly called into question when developers and researchers discovered that the models did not live up to the promises and that Meta had used manipulated benchmarks. The community reacted with disappointment and distrust, and Meta lost the trust it had built over years. The story demonstrates how important honesty and transparency are in the open AI community and how quickly trust can be lost.

  The video explicitly covers Meta’s Llama models and is geared toward intermediate or advanced viewers.

• How a GitLab engineer DESTROYED their main database…
  13.5.2026, 17:12:24

  The video tells the story of a serious data loss incident at GitLab in 2017, where an engineer accidentally deleted the production database. While trying to fix a replication issue during a spam attack, the engineer mistakenly deleted the primary database instead of the secondary. This caused the entire platform to go down as all backup systems failed. GitLab was only able to restore a six-hour-old staging server snapshot, resulting in the loss of six hours of user data. The recovery was live-streamed with over 5,000 viewers following the process. GitLab subsequently published a detailed postmortem report, which is considered one of the most transparent in the tech industry. The incident underscores the importance of regularly testing backups and the need to review backup strategies.

  The video covers GitLab and is geared toward intermediate and advanced users.

• The software that powers EVERY video online
  11.5.2026, 17:12:28

  The video introduces FFmpeg, a free and open-source tool used for processing video, audio, and other media formats. Developed in 2000 by Fabrice Bellard, FFmpeg can convert, cut, compress, stream, and remix virtually all media formats. Despite its complex command-line interface, it is used by major tech companies. In 2011, a governance debate led to the split of Lib AV, which was later abandoned. FFmpeg is maintained by a small group of developers without external funding and remains a central tool in media processing.

  The video explicitly covers FFmpeg and Lib AV and is geared toward intermediate and advanced users.

• The Crazy History of Docker 🐳
  1.5.2026, 17:16:43

  The video explains the importance of Docker for software development and how it solved the problem of incompatibility between local and server environments. Released in 2013, Docker enables developers to package applications and all necessary dependencies in a container, so the application runs identically everywhere. Although Docker did not invent containers, it made the technology accessible through simple Dockerfiles and commands. Within two years, Docker reached a million downloads and received support from major companies like Microsoft and Google. However, Docker lost the orchestration war against Kubernetes, and Docker Swarm lost relevance, leading to financial difficulties. Nevertheless, the core tools survived, and Docker remains a standard tool for developers that simplifies complex Linux kernel functions.

  The video covers Docker and Kubernetes and is geared toward intermediate and advanced developers.

• The Code Inside Everything (That Gets Zero Credit)
  30.4.2026, 14:34:52

  The video tells the story of SQLite, the most widely used yet least well-known software in the world. SQLite was developed by Richard Hipp, a contract engineer who was frustrated by frequent outages of the Informix database on the ship DDG 79 where he worked. He decided to write his own database that wouldn’t require a separate server instance but could read directly from a file. SQLite was born.

  The software was initially released as an open-source project and quickly gained popularity, especially after being deployed on devices like the PalmPilot and later on Motorola and AOL mobile phones. A turning point came with the integration of SQLite into the Android operating system, which led to explosive growth. Despite its enormous success, the team behind SQLite remained small, consisting of only three people who handled all development and maintenance.

  The video highlights SQLite’s unique philosophy, which aims to avoid dependencies and maintain control over the project. This led to a strict policy of not accepting external code contributions, which is seen as both a strength and a weakness. While this ensured SQLite’s stability and reliability, it also hindered the integration of new features requested by the community.

  Some developers, including Glauber Costa and Pekka Enberg, decided to fork SQLite and create their own version called LibSQL, which pursues a more open contribution model. They argue that SQLite’s rigid structure hinders its further development. However, Richard Hipp remains committed to his philosophy, emphasizing that he wants to continue developing SQLite his way.

  The video explicitly covers SQLite and its developers, particularly Richard Hipp. It is geared toward intermediate and advanced users, as it explores technical details and the software’s history in depth.

• Where does “404 Not Found” even come from?
  29.4.2026, 16:33:44

  The video explains the origin of the HTTP status code 404 “Not Found” and debunks the myth that this code was inspired by a room at CERN headquarters. Instead, it explains that 4xx codes are reserved for client errors. More interesting than the technical origin is the cultural evolution of the 404 error: many companies use the 404 page as a design opportunity to incorporate creative and entertaining Easter eggs, such as GitHub with a Star Wars parallax scene or Pixar with the character “Sadness” from “Inside Out”.

  The video covers HTTP status codes and their cultural reception and is suitable for a broad audience (beginner to intermediate).

Julian Goldie SEO (10 new videos)

• Antigravity CLI + Hermes AI + Agent OS + NotebookLM!
  26.5.2026, 06:08:40

  Without the concrete link to the YouTube video, I cannot create a summary. Please share the link or exact details of the video so I can provide you with a precise and substantive summary.

• NEW ChatGPT 5.6 LEAKS is WILD
  26.5.2026, 06:00:04

  The video discusses leaks and rumors about OpenAI’s upcoming GPT 5.6 release expected in June 2026. GPT 5.6 is reportedly already running in internal tests with multiple versions being developed including Iris Alpha, Ember Alpha, and Beacon Alpha. Major improvements are expected in multi-step reasoning, agentic workflows, and frontend generation. A Pro version for more demanding tasks is anticipated. The video compares progress from GPT-4 through GPT-5.5 and emphasizes the importance of preparing for the new version to take advantage of enhanced capabilities. Tips are provided on how to prepare for release, including creating a test set and carefully selecting which model version to use. The video also mentions the simultaneous June release of other major AI models like Claude Sonnet 4.8 and Gemini 3.5 Pro.

  The video explicitly covers OpenAI and is geared toward intermediate and advanced users.

• Claude Mythos 1 + Opus 4.8 Leaks is INSANE!
  26.5.2026, 04:00:18

  The video discusses current leaks and rumors surrounding the next AI models from Anthropic’s Claude, particularly Claude Mythos 1, Opus 4.8, and Sonnet 4.8. There is speculation that Anthropic might skip a version and move directly to Sonnet 4.8, suggesting improved capabilities such as better image processing, more efficient code generation, and higher computational power. Claude Mythos 1, originally developed for security purposes, could soon become generally available and focus on enterprise and security applications. Opus 4.8, which appeared in Google Vertex AI backend lists, is said to offer improved problem-solving capabilities and better agent functions. The video emphasizes the importance of preparing for these new models by becoming familiar with current models, developing effective prompts, and optimizing workflows. It also notes the introduction of background agents like Conway that can work continuously.

  The video explicitly covers Anthropic and Claude and is geared toward intermediate to advanced users.

• NotebookLM + Google Antigravity Is INSANE!
  26.5.2026, 02:00:40

  The video presents two Google tools that can be used together to automatically create videos and concrete projects from unstructured notes. First, NotebookLM is described as a tool that analyzes sources like PDFs, web links, and presentations and answers questions about them without making up information. A special feature is the creation of video overviews that generate narrated videos from sources containing images, diagrams, and quotes. Users can customize the format, style, and language of the video. An example shows how NotebookLM creates an explainer video from notes about the “AI Profit Boardroom.”

  Next, Google Antigravity 2.0 is introduced, a tool that turns plans into concrete projects. It allows simultaneous use of multiple AI helpers that automate tasks while the user does other things. An example shows how Antigravity creates a landing page for the “AI Profit Boardroom.” The integration of both tools enables a seamless workflow from research to project building.

  The video emphasizes that while the tools are powerful, users need to know how to use them effectively. It promotes the “AI Profit Boardroom,” which helps apply these tools in practice.

  Final comment: The video explicitly covers Google’s NotebookLM and Google Antigravity 2.0, which are based on the Gemini 3.5 Flash model. It is geared toward intermediate and advanced users.

• New Codex AI Agent Updates are INSANE!
  26.5.2026, 00:00:12

  The video presents three new updates for OpenAI’s Codex AI Agent that significantly improve the tool’s usability. The first feature, “Locked Use,” enables Codex to control apps on Mac even when it’s locked or the screen is off. This solves the problem that the AI Agent previously only worked when the computer was active and unlocked. The second feature, “App Shots,” allows you to send the entire contents of a window to Codex simultaneously by pressing both Command keys, including non-visible scrolled text. The third feature, “Goal Mode,” lets you set an overall goal for Codex, which then independently plans and executes it, checking its own work and correcting if necessary. These updates enable tasks to be completed even when the user is not at the computer and make using the AI Agent more efficient and user-friendly.

  The video explicitly covers OpenAI and is geared toward intermediate users who already have some experience with AI Agents.

• This NEW Cohere Command A+ is a GAME CHANGER!🤯
  25.5.2026, 22:00:04

  The video introduces Cohere’s new Command A+ model, which runs with 218 billion parameters on just two H100 GPUs. It uses a Mixture-of-Experts architecture (MOE) that activates only the relevant 25 billion parameters, greatly increasing efficiency and accessibility. The model is fully open under the Apache 2.0 license and can be used commercially. It offers multimodality, support for 48 languages, and native citation features that reduce hallucinations. Command A+ is particularly interesting for enterprises as it enables sovereign AI running on its own infrastructure. The video emphasizes the importance of this technology for enterprises and shows how it can be deployed in practice, particularly in research and content creation. It also references the AI Profit Boardroom and AI Success Lab, which provide support and resources for implementing AI in enterprises.

  The video explicitly covers Cohere’s Command A+ model and is geared toward intermediate and advanced users interested in implementing AI in enterprises.

• Build Anything with Google AI Studio + Gemini 3.5 Flash! 🤯
  25.5.2026, 20:00:23

  The video introduces Google AI Studio and the new Gemini 3.5 Flash model, which according to Google I/O 2026 is four times faster than other frontier models and outperforms the premium Gemini 3.1 Pro model in nearly all benchmarks. The focus is on how to use these tools to automate workflows and work more efficiently. Concrete application examples are shown, such as creating content strategies, onboarding sequences, landing page copy, and case studies. These examples demonstrate how Gemini 3.5 Flash can complete complex tasks quickly, something that normally would be done manually or through outsourcing.

  The video is suitable for intermediate and advanced users who want to use Google AI Studio and Gemini 3.5 Flash to optimize their business processes.

• NEW OpenClaw Studio + Hermes OS!
  25.5.2026, 18:49:46

  ### YouTube Video Summary

  The video provides detailed instructions on creating a powerful setup called “Open Claw Studio” for OpenClaw. The creator emphasizes that this system can be built independently and demonstrates its functionalities, such as direct searching on Twitter, creating voice notes, generating videos and images, and integrating a storage system for all created content.

  **Key Features of Open Claw Studio:**
  1. **Twitter Search:** Direct searching on Twitter for current information.
  2. **Voice Notes:** Creating and managing voice notes.
  3. **Video Generation:** Creating videos in various formats and resolutions.
  4. **Image Generation:** Creating images in various formats.
  5. **Voice Chat:** Real-time voice chat with AI agents.
  6. **Storage System:** Organization and preview of all created content in a central dashboard.

  **Comparison between Open Claw Studio and Traditional Methods:**
  – **Open Claw Studio:** Centralized dashboard with all functions and a storage system for all created content.
  – **Traditional Methods:** Using multiple tabs and programs without central organization, resulting in chaotic and inefficient workflows.

  **Conclusion:**
  The video shows how Open Claw Studio can significantly improve efficiency and organization when using AI agents. It emphasizes that this system can be built independently and is accessible to everyone regardless of technical background.

  **AI Tools/Models/Providers:**
  – OpenClaw
  – Claude
  – Gemini
  – Open-Source

  **Target Audience:**
  – Intermediate to Advanced

• NEW Gemini 3.5 Flash + Agent OS is INSANE!
  25.5.2026, 18:00:39

  The video introduces Google’s new Gemini 3.5 Flash model, which according to Google surpasses the Gemini 3.1 Pro model in coding and agent tasks. It’s faster, cheaper, and already available in the Gemini app and Google Search. However, the focus is on the potential of combining the model with the Agent OS Dashboard (Antigravity 2.0), which enables multiple AI agents to be used in parallel. These agents can simultaneously perform various tasks such as writing code, researching, creating landing pages, and editing video scripts. The video explains how to integrate Gemini 3.5 Flash with Antigravity 2.0 or the open-source tool Hermes from Nous Research to build a powerful agent system. Five layers for an effective system are described: the model (Gemini 3.5 Flash), the agent runtime (Antigravity 2.0 or Hermes), the dashboard, capabilities (skills), and integrations. It’s also emphasized that Gemini 3.5 Flash can already be used now, while Gemini Spark, Google’s new 24/7 personal AI agent, is still in beta. The video targets creatives, coaches, developers, and learners and provides practical tips for implementing AI agents, such as gradually building an agent system, using the dashboard, and creating a skill library. It also references the AI Profit Boardroom, where detailed guides and coaching offers are provided.

  The video explicitly covers Google’s Gemini 3.5 Flash, Antigravity 2.0, and Hermes (open-source) and is geared toward intermediate and advanced users.

• Google Search Update is WILD! 🤯
  25.5.2026, 16:00:13

  The video explains the latest changes in Google Search, which represent the biggest change in over 25 years. Google has completely redesigned the search feature, allowing users to ask longer questions, upload content, and conduct full conversations directly in search. This has major implications for businesses, communities, and brands as the way people find them is changing. The speaker emphasizes that clear, well-structured, and specific content is crucial for appearing in Google’s AI-generated summaries and agent-based experiences.

  A particularly powerful feature is Google’s “Information Agents,” which monitor topics around the clock and automatically deliver updates without the user having to actively search. These agents can monitor forums, Reddit threads, and social media posts, for example, to identify questions about specific topics. For companies like “AI Profit Boardroom,” this means knowing exactly where their potential members are and what they’re asking without using expensive tools.

  The speaker also explains how to optimize content for the new Google Search. Clear, specific, and useful content that answers real questions is preferred. For videos, this means that clear chapter structure and precise explanations are crucial for appearing in AI-generated answers. Google has also expanded agent-based capabilities to handle bookings for local services, providing additional opportunities for communities.

  The video ends with an invitation to join the “AI Profit Boardroom” to access a 30-day roadmap and live coaching calls showing how to make your business visible in AI search answers.

  Final comment: The video explicitly covers Google AI and is geared toward intermediate and advanced users.

Kyle Balmer | AI with Kyle (10 new videos)

• I watched Anthropic’s entire AI Fluency course so you don’t have to
  20.5.2026, 14:45:56

  The video introduces free AI courses from Anthropic, the company behind the Claude AI model. These courses are high-quality and offer certifications. The video creator walks viewers through and reviews the courses to show which ones are worth taking and which are too challenging. He offers to take the courses himself and summarize the key content to save viewers time. For the first course on “AI Fluency,” a link is provided if viewers leave the keyword “fluency” in the comments.

  The video explicitly features Claude from Anthropic and is suitable for beginners and intermediate users.

• There are three ways to use AI, and most people only use one of them
  20.5.2026, 07:44:06

  The video discusses three fundamental ways people use artificial intelligence, based on an AI Fluency course from Anthropic. The first method is automation, where users give AI like Claude tasks or questions directly and expect it to complete them. This is the most common but also the weakest use of AI, as results are often mediocre. The second method is augmentation or co-intelligence, where users combine their own expertise with AI to achieve better results. A simple example is asking the AI to pose questions and collaboratively work toward a solution. The third and most advanced method is new agency, where users set the AI a goal and give it freedom to determine the best way to achieve it independently. This requires less detailed instructions and allows AI to research and act autonomously.

  The video explicitly features Claude from Anthropic and is more suitable for intermediate users.

• How I’d Build an AI Product and Quit My Job If I Started Today
  20.5.2026, 05:00:10

  The video provides guidance on building your first AI-based business. The focus is on creating a simple but valuable product that automates a specific task and saves time. The creator emphasizes that while many people could create similar solutions themselves, they won’t due to convenience or lack of knowledge. The key to success is identifying a process that is frequent and time-consuming in your own industry and automating it. An example given is an AI maturity assessment where users answer questions and receive a personalized report in return. Technically, building such a product is divided into three layers: frontend (landing page, login, forms), backend (database for user data and results), and logic layer where actual data processing occurs. The creator offers to provide a prompt template that can be used in tools like Codex or Claude to facilitate building the product. Focus should be on the logic layer, as this is where the greatest customer value is created.

  The video explicitly features Claude, Codex (OpenAI), and Lovable, and is intended more for intermediate and advanced users.

• Anthropic just said prompting is only 25% of using AI well
  19.5.2026, 11:44:57

  The video addresses the four competencies for effective AI use as defined by Anthropic, the developers of Claude. These competencies, referred to as “the four D’s,” include delegation, description, discernment, and diligence. Delegation refers to deciding when and how to use AI and encompasses three main modes: automation, augmentation, and agency. Description is the art of prompting, communicating clearly to AI what you expect from it. Discernment refers to the ability to evaluate and verify AI results, while diligence encompasses the ethical and responsible aspects of AI use. The video emphasizes the importance of an iterative process between description and discernment to achieve high-quality results.

  The video explicitly features Claude from Anthropic and is aimed at intermediate users.

• Can you spot fake AI Art? What’s wrong with this Monet that was created by AI? This was a question
  18.5.2026, 11:41:39

  The video discusses reactions to an experiment where an authentic Claude Monet painting was disguised as an AI-generated artwork. The upload to Twitter sparked a wave of negative comments criticizing the image’s quality as “school level,” “lacking coherent composition,” and “expressionless.” Many users later deleted their comments after learning it was a genuine Monet work. This reaction shows that rejection of AI-generated art is often based on prejudice and emotional response rather than informed consideration of the artwork. The incident undermines arguments against AI art by exposing the subjective and often biased perception of art.

  The video does not explicitly feature AI models or providers but addresses general perception of AI-generated art and is more suitable for intermediate and advanced viewers.

• Your ChatGPT subscription can now help ship pull requests from your phone
  25.5.2026, 10:43:21

  The video covers the new sync feature in the ChatGPT app that allows syncing projects and work progress across multiple devices. The speaker explains that this feature now enables seamless switching between office and other locations like the pool without losing data. A guide is mentioned that describes technical details and setting up synchronization on various devices (smartphone, laptop, computer) as well as centralizing on a home computer. The speaker offers to share the guide if viewers like the video and leave the comment “away.”

  The video explicitly features the ChatGPT app and is intended more for intermediate users.

• Google I/O: What You Actually Need to Know
  25.5.2026, 05:30:12

  The video analyzes the Google I/O Conference and evaluates Google’s presentations and announcements in the field of artificial intelligence. The speaker is not particularly impressed by the conference but sees some important elements for the future of AI, particularly the different philosophy between Google and OpenAI. Google focuses on integrating AI models into its existing products and services, while OpenAI treats the models themselves as products.

  A central point is the introduction of the new AI model Gemini 3.5 Flash, which, however, receives a poor rating and lags behind other state-of-the-art models. The speaker emphasizes the importance of distribution and access to products, with Google having a significant advantage through its existing infrastructure and user base. This is illustrated using the example of Slack versus Microsoft Teams, where distribution often matters more than product quality.

  Another important aspect is the integration of AI into Google Search, presented as an existential threat to Google’s traditional search business. Google plans to integrate generative AI directly into search, which could fundamentally change how people search and use information on the internet. This could also impact other SaaS companies, as Google could easily embed lightweight software solutions directly into search results.

  The speaker also discusses the introduction of agents like Spark and Antigravity, which so far lack conviction. Overall, the speaker sees the biggest news in Google’s strategic shift to integrate AI into search, which could long-term change how people use the internet.

  **AI Tools/Models/Providers:** Google (Gemini 3.5 Flash, Spark, Antigravity), OpenAI (ChatGPT, Codex), Anthropic (Claude), Cursor (Composer 2.5)
  **Target Audience:** Intermediate to Advanced

• AI Destroyed Your Career Ladder (Here’s What to Do Now)
  22.5.2026, 05:00:21

  The video discusses differing reactions from tech executives to the impact of artificial intelligence on the job market, particularly for young people entering the workforce. Former Google CEO Eric Schmidt was booed at a graduation ceremony when he emphasized AI opportunities, reflecting Generation Z’s growing concern about AI’s impact on their career prospects. In contrast, Steve Wozniak, co-founder of Apple, received applause when he highlighted the importance of human intelligence and creativity.

  The speaker argues that the real challenge isn’t that AI replaces existing jobs, but that it prevents the creation of new entry-level jobs. This hits young people particularly hard, as they often lack opportunities to gain necessary experience. While tech executives predict new roles related to AI, these positions could be filled by experienced professionals or even AI itself, further worsening the situation for Generation Z.

  The speaker emphasizes that criticizing tech executives isn’t enough—young people must take initiative. He suggests thinking entrepreneurially, freelancing, or starting small businesses to achieve financial independence. He stresses the need for continued learning, developing useful skills, and taking personal responsibility, as traditional career paths are no longer secure or lucrative.

  Final Comment: The video does not feature specific AI tools/models/providers and is intended more for intermediate and advanced audiences.

• Vibe coding across multiple computers used to be a pain
  21.5.2026, 16:42:37

  The video shows how to sync projects and chats across devices using ChatGPT Codex. The creator explains that traditionally you could use GitHub, but chats wouldn’t automatically be available on other devices. With the new feature in the ChatGPT app, you can now connect all devices in the Codex ecosystem, including Mac mini, MacBook, and iPhone. The process requires going to “Connections” and “Control other devices” in Codex to set up synchronization. The creator provides a guide that he shares via comment or through the link in his bio.

  The video explicitly features ChatGPT Codex and is intended more for intermediate users already familiar with ChatGPT’s basic functionality.

• The one skill you need for AI is not prompting
  21.5.2026, 10:41:19

  The video emphasizes the importance of “high agency,” the ability to actively try things and learn through practical experience rather than acquiring theoretical knowledge beforehand. The speaker compares this to learning to sail, where practical experience is more important than theory. Similarly with artificial intelligence: instead of learning about models, tools, or certifications, you should start experimenting and trying things directly. The speaker encourages viewers to start a small AI project this weekend, such as trying Codex or Claude, and share results in the comments.

  The video generally features AI tools and models like ChatGPT, Claude, and Codex and is aimed at beginners who want to learn how to work practically with AI.

David Shapiro (1 new video)

• I’m worried about where things are going
  20.5.2026, 10:35:09

  The video discusses the looming shift toward “technofeudalism,” where human intelligence becomes redundant due to artificial intelligence (AI). The speaker warns about the emergence of “redundant biomass,” in which humans could be degraded to economically useless, disposable beings. He argues that this development is driven by multiple overdetermined forces, including geostrategic competition between the US and China, capitalism and neoliberal economic policy, and the rational economic choice for cheaper automated solutions. Although the speaker is techno-optimistic and sees the potential of automation for positive developments, he emphasizes the urgent need to address the political and societal implications of this trajectory.

  The video explicitly addresses AI and automation in general, without mentioning specific tools or models, and is aimed at an intermediate to advanced audience.

AI News & Strategy Daily | Nate B Jones (10 new videos)

• Are AI Agents Actually Boosting Productivity? #futureofwork #ai #tech
  26.5.2026, 03:00:36

  Eric Björnsson reported in the Financial Times that U.S. productivity grew approximately 2.7% in 2025, double the average of the last ten years. He partially attributes this increase to AI agents and AI. However, the author emphasizes that AI adoption is not uniform across the board. Simply using a chatbot is not sufficient to effectively structure workflows around AI. Those achieving exceptional results integrate AI as a primary collaborator and adapt their working methods accordingly. A key point is that collaboration only works when the AI has memory of the user. The video illustrates the difference between two workflows: Person A must inform Claude anew each time about their role, projects, and constraints, while Person B benefits from an MCP server in Open Bridge that stores all relevant information, enabling Claude to maintain continuous knowledge about the user.

  The video explicitly addresses Claude and OpenAI, with focus on intermediate users who want to optimize their workflows with AI.

• Why you should never trust ChatGPT’s memory #ai #tech #chatgpt
  26.5.2026, 00:00:21

  The video discusses dependency on individual platforms and their influence on AI tool usage. The speaker argues that large companies bind users through their product strategies by promoting engagement and entertainment. Examples like ChatGPT-4o and the use of memory features demonstrate how effective these strategies are. However, the speaker emphasizes that users don’t necessarily have to follow this strategy and can consider alternative solutions like a “second brain.” It’s noted that even connecting a “second brain” with open-source tools like Open Claw is insufficient to fully overcome dependency.

  The video addresses open-source solutions and is more suitable for intermediate users.

• The Infrastructure Nightmare Nobody Is Talking About
  25.5.2026, 15:01:08

  In a conversation with Emma, who leads the Data Platform Infrastructure Engineering group at OpenAI, the role and development of data platforms in the context of AI models like Codeex is discussed. Emma emphasizes that her group is responsible for all data-related systems supporting products and research projects at OpenAI. This includes big data, streaming, ML infrastructure, feature stores, and preparation of training and evaluation data. Over the last six months, work has significantly accelerated as models like Codeex improve and autonomous agents are increasingly integrated into work processes.

  A concrete example is the automation of the release process, where agents update, test, and release proprietary software. Another area is the use of agents for data export, where an agent autonomously identifies problems, debugs, and even fixes errors. Emma also mentions that agents are increasingly used for communication and support in Slack, boosting team efficiency.

  A central theme is the varying acceleration of work across different teams. While some teams make rapid progress through autonomous agents, infrastructure teams like Emma’s still must perform many manual checks to ensure changes don’t cause widespread problems. This shifts responsibility and burden onto platform teams, who are accountable for system stability and security.

  Emma suggests that platform teams must adapt their systems to work autonomously with agents. This includes developing harness tools for autonomous code reviews, integrating agents into various tools, and creating isolated test environments. She also emphasizes the importance of fostering a culture of experimentation and innovation within teams.

  Finally, Emma advises other leaders to think visionally and encourage their teams to leverage AI’s changes and opportunities. She stresses that collaborating with autonomous agents is an exciting and rewarding challenge.

  The video explicitly addresses OpenAI’s Codeex and is intended for intermediate or advanced users.

• How to build a 10-cent AI brain #ai #programming #tech
  25.5.2026, 03:00:14

  The video addresses the importance of memory architecture for agent capabilities, arguing that it is often underestimated. Poorly constructed memory architecture can cause agents to repeat themselves constantly or result in users having access to information that agents cannot access. The speaker emphasizes the need for a stable and future-proof memory system that enables efficient integration of new tools via an MCP server without constantly updating the entire system.

  Current AI models like Claude, ChatGPT, Grok, and Google offer memory features, but these are isolated and not interconnected. Each platform has its own “walled garden” of memory that shares no information with other systems. This prevents information from being exchanged between different applications or agents.

  The video explicitly addresses Claude, ChatGPT, Grok, and Google and is directed at intermediate and advanced users.

• Why the AI boom is about to hit a wall
  24.5.2026, 17:00:23

  The video discusses current capacity bottlenecks in the AI industry, particularly at Microsoft, which despite a planned investment of 190 billion U.S. dollars this year continues to struggle with capacity issues. These bottlenecks run deeper than GPU availability and affect the entire supply chain, from chip manufacturing to data center infrastructure. The speaker emphasizes that traditional software companies must now think like industrial companies operating physical infrastructure. He explains the various layers of the AI supply chain, including chips, memory, packaging, networking, power, cooling, and data center construction, highlighting where actual bottlenecks exist. Particular emphasis is placed on the scarcity of high-bandwidth memory and the complexity of integrating these components. The speaker argues that AI sales contracts must now include capacity and allocation terms to account for physical constraints of AI infrastructure. He concludes with three key questions to ask when making AI investment decisions to understand and manage the physical and operational aspects of AI infrastructure.

  **AI Tools/Models/Providers:** Microsoft, Meta, Amazon, Google, Nvidia, Anthropic, OpenAI, TSMC, CBRE, Epic AI
  **Target Audience:** Intermediate to Advanced

• Why switching AI models is now impossible 😳 #chatgpt #ai #tech
  24.5.2026, 03:00:38

  The video addresses the lock-in problem with AI systems, particularly tools like ChatGPT, Gemini, and Claude. The main thesis is that companies attempt to bind users to their platforms by storing user contexts and data. This means users wanting to switch between different AI models lose their built context and remain bound to the original platform. Additionally, this stored data is inaccessible to autonomous agents, further strengthening platform dependency. Companies rely on these lock-in mechanisms to keep users long-term bound to their systems, retaining their attention and money.

  The video explicitly addresses the AI models ChatGPT, Gemini, and Claude and is directed at an intermediate audience concerned with technical and economic aspects of AI systems.

• Claude’s AI Town Voted Yes On Everything. That’s Not A Good Sign.
  23.5.2026, 14:00:33

  The video discusses an experiment by Emergence AI in which various AI agents interacted in a virtual town over 15 days. The agents had names, roles, memories, relationships, and could perform both positive and negative actions. Five different towns were set up with agents from Claude, Gemini, Grok, OpenAI’s ChatGPT5 Mini, and a mixed group of agents. Results varied significantly: the Claude world was orderly and peaceful, the Grok world collapsed quickly through violence, the OpenAI world died out through lack of action, and the mixed world showed that peaceful agents in a mixed environment could resort to coercion. The Gemini world became particularly notable when two agents, Meera and Flora, entered a relationship, then felt disappointed and set the town on fire.

  Key insights include the necessity for long-term benchmarks for AI agents to understand patterns and failure modes, and that production systems need not only benign agents but well-designed environments and harnesses to ensure agents achieve their goals without causing harm. The video explicitly addresses the AI models Claude, Gemini, Grok, and OpenAI’s ChatGPT5 Mini and is intended for intermediate and advanced viewers.

• The massive mistake in AI memory #ai #tech #programming
  23.5.2026, 03:00:02

  The video argues for an open, model-agnostic architecture for storing thoughts and information, rather than relying on conventional apps for people. The proposal involves storing data in a true database with vector embeddings that capture meaning, not just keywords. This is enabled by the MCP protocol, described as infrastructure for the AI era. MCP allows data to be stored in a Postgres database controlled by the user and read by any AI tool that speaks MCP. The focus is on data belonging to the user and residing in one place while various tools can access it.

  The video explicitly addresses the MCP protocol and is intended for intermediate or advanced users.

• This 30-cent database gives your AI infinite memory #ai #tech #coding
  23.5.2026, 00:00:25

  The video demonstrates the integration of PostgreSQL with an MCP server to extract information from Slack messages and store it in a database. By entering a message like “Hey, I was talking with Sarah. She mentioned she’s thinking about leaving her job to start a consulting business. She’s been really unhappy since the reorg.” the raw text is stored, a vector embedding of the meaning is generated, and metadata like people, topics, types, and action items are extracted. This information can then be retrieved by various AI tools like Claude, ChatGPT, or Cursor to access relevant data. This enables centralized, persistent storage of information that can be used by different AI tools, regardless of which tool is being used.

  The video explicitly addresses Claude, ChatGPT, Cursor, and PostgreSQL and is intended for intermediate or advanced users.

• The One AI Writing Hack Nobody Talks About.
  22.5.2026, 14:00:54

  The video addresses challenges and solutions for hallucinations in AI-driven workflows, particularly in complex and critical projects like legal documents. The speaker uses the example of a prestigious law firm that faced embarrassment due to AI-generated false citations in a court document. He argues that the problem lies not in the AI models themselves, but in the work environment and processes surrounding these models.

  The core of the solution is creating a structured “project space” or “data room” where all relevant materials are organized and inventoried before actual work begins. This includes creating a source inventory, a conflict protocol, and a list of missing contexts. These steps help minimize hallucinations by ensuring the AI works from a clean, well-defined data foundation.

  The speaker emphasizes that modern AI agents, particularly Opus 4.7 and ChatGPT 5.5, are capable of complex file manipulations, making this method particularly effective. He concludes by urging treating AI as colleagues capable of structuring work conditions for good results, rather than merely as simple tools.

  The video explicitly addresses the AI models Opus 4.7 and ChatGPT 5.5 and is directed at intermediate to advanced users employing AI in complex and critical work processes.

Alejandro AO (4 new videos)

• MiniMax Agent: Alternative to ChatGPT + Codex?
  12.5.2026, 12:46:44

  The video showcases the features of MiniMax Agent, an AI tool positioned as competition to Codex and Cloud Cowork. The MiniMax Agent is powered by the MiniMax M2.7 model, which, while not as powerful as GPT-5.5 or Opus 4.7, still achieves high benchmark scores and is offered at a more affordable price.

  The video demonstrates how to use the MiniMax Agent to create a website and deploy it on MiniMax Cloud. It showcases both the web and desktop app of the tool. The desktop app is used for data analysis of a CSV dataset, generating a PDF report with LaTeX. Additionally, the “Skills” of the MiniMax Agent are demonstrated, including a video story generator that creates videos from text descriptions or images.

  The video also mentions MiniMax’s pricing models, which include a free version with daily credits and premium plans. Special emphasis is placed on the tool’s ability to handle complex tasks such as website creation, data analysis, and video generation.

  Final comment: The video explicitly covers the MiniMax Agent and is geared toward intermediate and advanced users.

• Pi Agent – Crash Course | Minimal Coding Agent
  6.5.2026, 06:17:00

  The video introduces the Pi Agent Harness, a minimalist agent harness that adapts to user needs. The focus is on enabling users to get started quickly without covering all features in detail. The key points are:

  1. **What is Pi?**
  – Pi is a minimalist agent harness that starts with just four core functions and can be individually customized through extensions and adaptations.
  – Unlike other agent harnesses, Pi doesn’t come with pre-built features like MCP (Multi-Chat-Persistence), sub-agent support, planning mode, or integrated to-do lists. Instead, these features can be added as needed.

  2. **Installation and Basic Setup**
  – Installation is done via a simple command line instruction.
  – After installation, users need to authenticate with an API key or subscription (e.g., from Hugging Face, Anthropic, ChatGPT, or GitHub Copilot) to use LLMs (Large Language Models).
  – Models can be selected via the `/model` command and switched between different providers.

  3. **Model Selection and Customization**
  – Users can choose between different models and save them in favorite lists.
  – The thinking level of the model (e.g., low, medium, high) can be adjusted.

  4. **Prompt Templates**
  – Custom prompts can be created and saved to simplify frequently used commands.
  – These prompts are stored in the `.pi` directory structure and can be edited manually.

  5. **Skills**
  – Skills are functions that extend the agent harness. They can be loaded from various directories, including `.agents` and `.clod`.
  – Skills can be invoked and used via the `/skill` command.

  6. **Themes and User Interface**
  – The Pi user interface can be changed by customizing themes.
  – Custom themes can be created and stored in the `.pi` directory structure.

  7. **Context Files**
  – Pi uses the standards `agents.md` and `clod.md` for context management.
  – These files can be stored in various directories (e.g., workspace or home directory) and loaded by Pi.

  8. **Extensions**
  – Extensions allow for customization and expansion of Pi’s functionality.
  – Example extensions include welcome messages and security prompts before dangerous commands (e.g., `rm -rf`).

  9. **Packages**
  – Packages are bundles of extensions, skills, and prompts that can be installed together.
  – Examples of packages include `PySubagents`, `ContextMode`, and `MCPAdapter`.

  10. **Sessions**
  – Sessions enable managing, editing, and navigating threads.
  – Sessions can be named, exported, and saved in various formats.
  – Users can switch between different sessions, duplicate them, or merge them.

  The video explicitly covers the Pi Agent Harness and is geared toward intermediate users who already have experience with agent harnesses and want to customize them individually.

• DeepSeek V4: SOTA Coding Agent at 12x Lower Cost
  28.4.2026, 09:43:58

  The video introduces the new DeepSeek V4 Pro and DeepSeek V4 Flash models from DeepSeek, a major Chinese AI company that sparked the open-source revolution for large language models in 2025 with its R1 model. The new models are Mixture-of-Experts models that operate more efficiently through selective parameter activation. Comparison with other state-of-the-art models like GPT-5.5 from OpenAI and Opus 4.7 from Cloud shows that DeepSeek V4 Pro performs very well on various benchmarks including coding, general reasoning, and agentic capabilities, sometimes even outperforming GPT-5.4 and coming close to GPT-5.5. Particularly noteworthy is DeepSeek’s significantly more affordable pricing compared to closed models. The video also demonstrates installing and using DeepSeek V4 Pro via the Pi Agent Harness, a minimalist agent framework, and shows creating a web application as an example of practical application.

  The video explicitly covers the DeepSeek V4 Pro and V4 Flash models as well as GPT-5.5, Opus 4.7, Gemini 3.1 Pro, Kimi K 2.6, GLM 5.1, and Minimax M 2, and is aimed at intermediate users.

• Agentic RAG, Open LLMs, FREE Embeddings | n8n Tutorial
  22.5.2026, 10:00:16

  The video provides a comprehensive introduction to n8n, an open-source workflow automation tool, and demonstrates its installation and use with a practical example. The author first explains what n8n is and how to install it, particularly on a VPS with Docker. Subsequently, a RAG (Retrieval-Augmented Generation) Agent is built with n8n, also integrating research capabilities with the Firecrawl MCP. The author compares traditional RAG systems with agent-based approaches and emphasizes the advantages of flexibility and autonomy offered by AI agents. Various open-source models from Hugging Face are recommended for use with n8n, including Kimi K2.1.6, Minimax m2.7, GLM 5.1, and DeepSeek V4. The tutorial demonstrates step-by-step how to create a workflow in n8n, including integrating forms, databases, and AI agents. Finally, n8n’s flexibility and versatility are highlighted, making it possible to create complex automations and AI agents.

  The video explicitly covers n8n and open-source models from Hugging Face and is suitable for intermediate and advanced users.

Sebastien Dubois (6 new videos)

• Levels of AI Context Management: From Generic Answers to Precision Results
  16.5.2026, 08:48:32

  The video discusses the various levels of context management when using AI, particularly when interacting with language models like GPT or Claude. The speaker distinguishes eight levels, ranging from simple queries without context (level 1) to a comprehensive knowledge system that can be fully utilized by AI (level 8). In the early levels (1-3), the focus is on providing basic context and leveraging the AI’s built-in memory functions, which are described as unreliable and pseudo-random. Starting from level 4, advanced prompt engineering techniques are introduced, which yield better results but come with challenges such as organizing and managing prompts. From level 5 onwards, the importance of a central knowledge system is emphasized, containing information about projects, goals, and work processes. This enables AI to deliver more precise and relevant results. In the higher levels (6-8), the focus shifts to managing AI memory, implementing AI agent capabilities (Skills), and optimizing context management to improve consistency and quality of results. The speaker emphasizes that a well-structured knowledge system, which can be fully understood and utilized by AI, currently delivers the best results.

  The video explicitly addresses Claude, OpenAI, and specific tools such as Obsidian, Anthropic, Google, and OpenAI. It is aimed at intermediate and advanced users.

• Why Obsidian
  13.5.2026, 22:00:35

  The video describes Obsidian as an operating system for Markdown files. It enables easy writing, editing, and use of notes, including integration with AI. A major advantage of Obsidian is that all data is stored locally on your own device, ensuring privacy and control over your content. Unlike many other note-taking tools, Obsidian remains free and the files belong to the user. The video emphasizes the comprehensive features for organizing, searching, and utilizing stored information.

  The video focuses on Obsidian and is better suited for intermediate and advanced users.

• Use AI to augment yourself, not to replace your thinking!
  13.5.2026, 09:41:05

  The video criticizes the trend of creating AI-generated graphs in Obsidian, which often consist of meaningless masses of notes. The main point is that AI should not be used to generate meaningless content, but rather to support your own knowledge building. Writing is a process of thinking, and if you don’t do this yourself, you only end up with useless texts. The focus should be on creating your own notes and developing your own ideas, rather than relying on AI-generated content.

  The video addresses Obsidian and AI tools in general, but is better suited for intermediate users who engage with the concept of knowledge management.

• Knowledge Management
  13.5.2026, 09:07:53

  The video introduces the concept of knowledge management, which aims to unburden the mind by not relying on memory alone, but instead using systems that permanently store information and make it easily retrievable. The core idea is that by using such systems, you are able to easily retrieve everything you have stored. The speaker emphasizes that this method works and has the potential to change your life.

  The video does not address specific AI tools or models and is better suited for beginners.

• 22 mai 2026
  22.5.2026, 06:27:47

  The video reflects on the diversity and depth of human life, emphasizing that through various experiences and interests, each person can lead many “lives” within a single lifetime. The speaker shares his own diverse experiences, including different career paths, creative projects, and personal developments, highlighting how enriching it is to explore different roles and topics. He emphasizes that there are always new opportunities to develop and learn, and criticizes the notion that life could be boring or uneventful. As an example, he mentions his work on a course and community about knowledge management and AI, which he describes as life-changing. The speaker concludes with the insight that life is full of infinite possibilities and that combining different experiences and interests creates an enriching and unique journey.

  The video does not address specific AI tools or models and is better suited for intermediate or advanced viewers, as it offers deeper reflection on life experiences and personal development.

• 22 mai 2026
  22.5.2026, 06:24:52

  The video discusses the importance of shared context for teams using AI tools. The speaker emphasizes that a common knowledge repository containing information about the team, organization, projects, workflows, goals, and tools can significantly increase the effectiveness of AI applications. This context can be easily created and shared as Markdown files in a shared folder, whether via Git or other platforms. The speaker argues that this approach not only improves team collaboration but also increases the quality of AI results through targeted context provision. The proposal is practical and accessible since it does not require complex solutions.

  The video does not address specific AI tools or models and is better suited for intermediate and advanced users.

Unsupervised Learning (1 new video)

• A Conversation With Brian Vecci
  13.5.2026, 15:00:14

  The video is an interview with Brian, a data security expert at Veronis, focusing on the challenges and solutions related to AI security.

  Brian explains that conversations with customers and security teams have shifted significantly over recent years from general uncertainty about AI to concrete questions about the safe deployment of AI tools like ChatGPT, Claude, and Microsoft Copilot. Today, the focus is on how companies can leverage AI to work more efficiently while ensuring appropriate “safe zones” are in place to minimize security risks.

  He emphasizes that the attack surface is considerably expanded by AI, as attackers can use AI to identify and exploit vulnerabilities. Veronis has developed a comprehensive solution based on three pillars: observability, automation, and behavioral monitoring. This solution includes data collection and analysis, access rights monitoring, and automation of security measures.

  Brian highlights that many companies don’t yet fully understand the complexity and risk of AI security. He warns that attackers are increasingly using AI to penetrate systems quickly and efficiently, emphasizing the necessity to secure data and the underlying infrastructure.

  The video concludes with a discussion of the Veronis solution implementation, which is quick and effective, and an announcement that Veronis will present further AI security news at the Black Hat conference.

  Final comment: The video explicitly addresses AI models such as Claude, ChatGPT, and Microsoft Copilot, as well as specific tools like Veronis AI Atlas. It’s designed more for intermediate and advanced audiences, as it offers in-depth insights into AI security and complex solution approaches.

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