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AI Agents in Focus: Who’s Leading the Agent Revolution?

Friday, May 29, 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)

• Google, what’s this about?
  22.5.2026, 08:50:07

  The video critically analyzes 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 disappointed upon deeper testing. Gemini 3.5 Flash, promoted 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 issues in initial tests and user feedback. The Gemini CLI, previously valued as an open-source project, is being replaced by a no-longer open-source Antigravity CLI, which is also facing 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 addresses Google’s Gemini 3.5 Flash, Antigravity 2.0, and the Antigravity CLI and is aimed at intermediate to advanced users.

• 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 and differences from classical agents like Cloud Code and Codex. Various use cases are demonstrated, including stock research, training and nutrition management, video editing, AI news summaries, real-time monitoring, MCD server access, YouTube thumbnail creation, and entire 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 advantages for tasks requiring continuous monitoring. Multi-agent and super-agent integration is also shown, as well as the ability to solve complex tasks with the `/goal` command. At the end, a comparison between Hermes and OpenCla is drawn, highlighting their respective strengths and areas of application.

  **Final comment:**
  The video explicitly addresses the AI tools Hermes and OpenCla and is intended more for intermediate and advanced users.

• Claude Code is no longer enough
  15.5.2026, 13:06:39

  The video introduces 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 said to be 52 times faster and cost only 5% of 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 lengthy documentation entirely in context, potentially making current workarounds like RAG (Retrieval-Augmented Generation) or agent workflows unnecessary. The sparse attention architecture allows it 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 sometimes contested.

  Subq’s potential is enormous, as it could revolutionize how we work with AI in areas such as coding, law, research, and audits. However, the question remains whether the model will deliver the promised quality and reliability with large context windows. Available benchmarks show promising results, but further testing and confirmation are needed.

  The video explicitly addresses the new Subq model and is intended more 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 such as website creation, beehive simulation, a 3D motorcycle racing game, an interactive factory and production simulation, traffic simulation, creation of ComfyUI and N8N workflows, and financial data analysis. Benchmarks show that GPT 5.5 demonstrates significant improvements in many areas compared to previous versions, particularly in 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 advantages and disadvantages 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 addresses OpenAI (GPT 5.5, GPT Image 2.0, Codex), Anthropic (Cloud Code), and Deeps version 4. It’s intended more for intermediate and advanced users as it includes detailed tests and technical analysis.

Cole Medin (10 new videos)

• Harness Engineering: What Separates Top Agentic Engineers Right Now
  28.5.2026, 00:00:02

  The video explains the concept of “Harness Engineering” and its significance in the field of AI, particularly for AI-coding assistants. Harness Engineering describes the process of designing an environment (wrapper) around an AI model to extend its capabilities and handle specific tasks more efficiently. It distinguishes between two main aspects: optimization within a single AI session and orchestration of multiple AI sessions into a larger workflow.

  The first aspect, optimization within a session, builds on the concept of Context Engineering but goes further by introducing additional control mechanisms such as hooks and sub-agents. The second aspect, orchestration of multiple sessions, enables handling of more complex tasks by focusing each session on a specific subtask. This is demonstrated through tools like the “Ralph Loop,” which automatically coordinates multiple AI sessions.

  The video emphasizes the importance of personal responsibility and continuous system improvement through learning from errors and adapting rules and processes. It also references Google Cloud Agent CLI as an example of a tool that facilitates building and deploying AI agents.

  **Final Comment:** The video covers Claude, OpenAI, Google Cloud Agent CLI and is geared toward intermediate and advanced users.

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

  **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 be conducted in each Jira ticket.

  The process begins with creating a GitHub Issue, which serves as context for building a Jira adapter. A PIV system evolution workflow is used, consisting of 12 steps ranging from planning through implementation to validation. The workflow utilizes various models such as 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 customizing the adapter to ensure proper communication 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 inquiries.

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

• 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 major 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 facilitates AI integration into existing enterprise software. The video also discusses the ethical implications of these developments and emphasizes the importance of transparency and responsibility in AI research.

  Final Comment: The video covers OpenAI and open-source tools and is intended for intermediate and advanced users.

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

  The video addresses strategies for effectively using Claude Code with large and complex codebases. It begins by noting that many tutorials focus on simple code examples while work in large codebases is often neglected. The author presents ideas from an Anthropic blog post on 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. Global rules in subdirectories are recommended 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 loaded only when needed. They can be limited to specific paths in the codebase to reduce context size.
  4. **Language Server Protocol (LSP) and MCP Servers**: These enable Claude Code to use the same navigation as a developer in their IDE. This is especially useful for large codebases as it enables more targeted searches.
  5. **Sub-Agents**: These can be used for exploratory tasks to avoid overwhelming the context window of the main session. They perform analyses and return a summary.

  The author also demonstrates a plugin that integrates some of these strategies into a demo codebase to facilitate 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 geared toward intermediate to advanced users who already have experience working in 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 that can be tailored to individual user workflows. The user integrates Pi with Archon, an open-source tool for creating harnesses, and demonstrates how Pi can be used with various models such as 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 Codeex. 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. **Problems and Solutions**: During the demonstration, some issues occur, particularly with Archon workflow integration and displaying workflow results in Pi. The user attempts to resolve these issues with Kimi but encounters limits to the model’s capabilities. He discusses the benefits of combining more powerful 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 Codeex and Claude Code and highlights Pi’s advantages, particularly its customizability and speed.

  6. **Future Plans**: The user plans to continue working on Pi and Archon integration 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, Codeex, Kimi, Minimax, Opus, and Open Router. It is geared toward 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 presented and two community workflows were added. The first workflow, “Idea to Work Order,” assists in converting ideas into detailed work orders for development. The second workflow, “Archon SmartMR Review,” is a GitLab equivalent to the pull request review workflow.

  The workflow integration process was demonstrated live, including creating a pull request, automatic review through a GitHub action, and subsequent release. 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 such as Archon. It is geared toward intermediate and advanced users.

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

  The video demonstrates how to create fully animated videos with audio using AI. The process utilizes multiple technologies, including HyperFrames for rendering, Claude Code for control, 11Labs or Kokoro for speech output, and Archon as a workflow manager. The creator provides an open-source repository that allows creating 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 advancing rapidly and already finding useful applications, particularly for explanatory videos. The process is explained in detail, including the ability to customize templates and create your own. Examples of generated videos are shown at the end.

  The video explicitly covers HyperFrames, Claude Code, 11Labs, Kokoro, and Archon and is geared toward 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 utilize workflows created by others. The process included creating an Archon workflow that automatically reviews and approves pull requests for new workflows. The stream began by merging an existing pull request that introduced the marketplace UI and continued with creating a new workflow that reviews the pull requests.

  The process involved multiple 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 concluded 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 geared toward intermediate to advanced users.

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

  **Video Summary:**

  The video presents a live demo of the AI tool Archon, developed as an open-source harness builder for AI-coding. The streamer showcases his current AI-coding workflow and how Archon accelerates this process tenfold. He demonstrates Archon’s use 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 handle multiple GitHub issues in parallel. Workflows are used that encompass planning, implementation, and validation.
  – The workflows are designed to create comprehensive pull requests that can then be manually reviewed.
  – It is demonstrated how Archon integrates 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-assisted development that encompasses planning, implementation, and validation.
  – It is shown how Archon workflows can be used for complex tasks such as creating a new marketplace feature.

  3. **Technical Details:**
  – Archon enables creating 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 results.

  4. **Integration and Extensions:**
  – It is shown how Archon can integrate with other tools such as Beads (a memory system).
  – The streamer discusses Archon’s advantages compared to other tools like N8N and emphasizes Archon’s specialization in AI-coding.

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

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

• Claude Plans, Gemini Designs: One Workflow for Beautiful Frontends (LIVE)
  28.5.2026, 14:21:09

  The video titled “null” contains no discernible content or clear structure that could be summarized. It appears to be an empty or unavailable video.

  The video does not cover specific AI tools or models and is not suited for a particular audience as it contains no substantive content.

Nate Herk | AI Automation (10 new videos)

• 100 Hours Testing Claude Code vs ChatGPT Codex (honest results)
  26.5.2026, 20:02:02

  The video compares OpenAI Codex and Claude Code, two AI-powered coding agents, based on features, price, and three specific use cases. It starts with a brief introduction to both tools, highlighting that Claude Code from Anthropic offers more customization options, while Codex from OpenAI has a more streamlined workflow. The comparison includes analysis of three tasks: creating a research report, landing page, and interactive dashboard. Claude Code proves superior in frontend work and complex planning, while Codex excels at research-intensive tasks and fast execution. Costs and token usage are analyzed in detail, with Codex being more efficient in token usage. The video concludes with the recommendation to choose the appropriate tool based on the specific use case, emphasizing the rapid development of both tools.

  **AI-Tools/Models/Providers:** OpenAI Codex, Claude Code (Anthropic)
  **Target Audience:** Intermediate

• 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 increasingly powerful.
  – 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.
  – Focus should be on delivering solutions that provide real value to businesses rather than chasing short-term trends.

  3. **Strategies for a 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 Would Have Known Earlier**:
  – **Choose Your Path**: Decide whether you want to build a lifestyle business or a high-exit-value enterprise.
  – **Package Your Offer**: Develop a clear offering that highlights the value of your services.
  – **Charge True 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 actually need them.
  – **Hire for the Company You Want to Be**: Recruit employees who share your vision and have the skills needed 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.

  **Conclusion**:
  The video explicitly discusses Claude, OpenAI, and open-source models as well as specific tools like Cloud Code and Co-Pilot. It targets 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 start an AI business as a beginner without directly selling projects or retainers. Instead, he suggests starting by selling hours (consulting) to build trust and overcome impostor syndrome. He describes a step-by-step approach, starting 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 get your 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 impostor syndrome and achieve long-term success.

  Final Comment: The video discusses generally available AI tools and models without mentioning specific providers and targets 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, specifically 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**: Cache duration is one hour by default. With Claude Code, the cache is deleted after one hour of inactivity; with API usage or Sub-agents, it’s only 5 minutes.
  – **Cache Mechanism**: The cache includes system instructions, tool definitions, and project context. Any new message or change (e.g., model switching) can break the cache and lead to higher costs.
  – **Practical Tips**: Users should avoid breaks, manually clear the 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 cache and save tokens.

  The video is aimed at intermediate users who use Claude Code or Claude intensively and want to optimize their token costs. It explicitly discusses Claude and Claude Code.

• 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 important for both Karpathy and Anthropic. Karpathy, a central figure in the modern AI world, has an impressive career behind him, 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,” demonstrate 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 businesses. Karpathy’s arrival could indicate that Anthropic is expanding its strategy by not only improving AI models but also their applications and integration 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 discusses Claude / Anthropic and targets intermediate and advanced users.

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

  The video demonstrates 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 their filenames 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 instruct Codex with a simple prompt to create the necessary files and folders and take over the content from the Claude Code files. It’s important to make changes in both Claude Code and Codex files to ensure consistency. Additionally, the author notes 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 committing to a single tool to remain flexible.

  Final Comment: The video explicitly discusses the tools Claude Code and Codex and targets 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 often-promoted model of starting an AI automation agency. He argues that many companies, particularly large corporations, are increasingly hiring or have already hired Chief AI Officers (CAIO), and that 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 massive increase from previous years. He explains that the CAIO role emerged similarly to the Chief Information Security Officer (CISO) role to address a new, urgent need in businesses.

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

  Nate emphasizes the importance of loving what you do, since 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 jumping into a new field that doesn’t suit them. He concludes by saying you don’t need to change your role; rather, change the version of your role you perform.

  The video explicitly discusses IBM and their studies as well as the role of Chief AI Officer in companies. It’s more suitable for intermediate and advanced audiences as it builds on solid knowledge and experience in AI.

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

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

  1. **Loops**:
  – 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.
  – Loops are session-specific and run either in the desktop app or 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 remain open.
  – **Cloud Routines**: Run in Anthropic’s cloud and don’t require an 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 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 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 allows you to use agentic functions but is also more expensive.

  Additionally, **Managed Agents** from Anthropic and **Hooks** in Claude Code are briefly mentioned as options for event-driven automations.

  The video is more suitable for **intermediate** users who already have experience with Claude Code and agents. It discusses 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 surpassed OpenAI in business usage, followed by OpenAI’s countermove 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 focus on adoption and data collection. It’s argued that current prices are unsustainable and users ultimately provide valuable training data for AI models. The author advises taking advantage of current offers to avoid vendor lock-in and remain flexible to potential future changes. Historical patterns are referenced where similar dynamics in other industries led to price increases. The conclusion emphasizes that users should utilize the tools to avoid committing to a single provider.

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

• Opus 4.8 Just Dropped. Here’s How To Actually Use It.
  28.5.2026, 18:52:03

  The video covers the release of Claude Opus 4.8, positioned as the successor to Opus 4.7. Opus 4.8 features improved judgment, greater honesty, and the ability to work independently for longer periods. Rate limits in Claude Code were increased to compensate for higher token consumption from increased effort levels. New features such as dynamic workflows and the ability to manually adjust effort were introduced. The creator emphasizes that while benchmarks are impressive, actual model performance depends on the specific application. Opus 4.8 addresses issues from Opus 4.7 such as lack of persistence, excessive safety restrictions, and high token costs. The creator shares first impressions and tips for optimal use of the model, including adjusting effort levels and clearly formulating tasks. Community reactions are mixed, with positive feedback on improvements but also early reports of bugs.

  The video explicitly discusses Claude Opus 4.8 and targets intermediate to advanced users.

Ben AI (4 new videos)

• 12 Claude Plugins, Skills & MCP's I Can't Live Without
  26.5.2026, 09:00:44

  The video presents 12 tools and plugins for Cloud Code and co-working that extend Claude’s functionality. The key points are:

  1. **Google Workspace CLI**: Enables access to all Google products (Drive, Gmail, Calendar, Sheets, Docs, Chat) without the limitations of Google MCPs and is more token-efficient. Installation is somewhat complex, but simplified with a provided Skill.

  2. **Higsfield**: Gives Claude access to image and video models like Nano Banana and Cance. There’s both an MCP for co-working and a CLI for Cloud Code. Higsfield enables generating, editing, and animating images as well as creating videos and slideshows.

  3. **The Printing Press**: Offers a library of over 50 pre-built CLIs for software without public APIs and enables creating custom CLIs. This saves tokens and is more efficient than MCPs.

  4. **Impeccable**: A set of Skills for Cloud Code that improves HTML and website design. It enables easy layout customization, design refinement, and adding animations.

  5. **Versel**: Enables quickly deploying HTML content to a server and creating live URLs. Ideal for hosting and distributing websites, reports, and dashboards.

  6. **Caveman Plugin**: Compresses text by up to 75% and saves tokens. It can be applied to Claude’s responses, Skills, and frequently used context files.

  7. **Firecrawl**: An affordable and effective web scraping tool that can scrape 99% of websites, including those Claude can’t reach. There’s both an MCP and a CLI.

  8. **Playwright CLI**: A browser automation library that’s faster, more reliable, and more cost-efficient than Cloud’s native browser function. Ideal for repeatable scraping or action workflows.

  9. **Cloth Video Plugin**: Enables scraping videos by downloading them and creating screenshots. It can generate transcripts and analyze videos.

  10. **VI Prospecting**: A sales and lead database tool optimized for AI agents like Claude. It enables filtering leads based on current intent signals such as hiring trends and recent funding rounds.

  11. **UniPal**: Enables connecting Claude with WhatsApp, Instagram, and LinkedIn. It can read and send messages, particularly useful for WhatsApp and LinkedIn outreach.

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

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

  The video provides a comprehensive introduction to using Claude Co-work, a tool that can revolutionize how you and your team work. It starts with an explanation of basic 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 theme is managing Claude’s limited context windows, partially solved through features like global instructions and built-in reminders. Users are encouraged to use external files and folders to create persistent context, enabled through features like file access and creating 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 Co-work’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 workflow automation across various software applications.

  The video concludes with best practices for using Claude Co-work, including selecting the right model for different tasks, optimizing token usage, and deciding when to switch to Claude Code. It also provides tips for introducing Claude Co-work 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 that help set up the system quickly and according to best practices:

  1. **OS Setup Skill**: Assists with initial setup of the Second Brain, including populating context, structuring folders, and creating Clot.md files that serve as instruction layers 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 eliminating 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, allowing scheduled tasks and optimizations to run autonomously, even when the laptop is closed.

  The author recommends starting with setting up the Second Brain and gradually expanding it, as the benefits increase over time and with growing amounts of 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 pre-define formats and layouts. Third, using Skills to pre-define text 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. Free resources and tools are also offered to ease getting started.

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

Brian Casel (7 new videos)

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

  In this 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 will be used 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 focuses on the Claude Design tool and is geared toward intermediate and advanced users.

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

  The video demonstrates how to build applications without coding skills by using AI as a tool. The focus is on the “spec-driven development” method, where a clear specification (PRD) is created and then divided into milestones to be implemented by an AI-coding agent. The process begins 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. The PRD is then broken down into milestones, each representing a completable unit. The creator shows the development of an invoicing application as an example, using two custom-built tools: “build new” as a starter template and “PRD Creator” as an agent skill that supports the PRD creation and breakdown into milestones. The PRD Creator asks questions that an experienced product designer would ask and helps ensure all important details are considered. At the end, you have a clear, written planning document that serves as the foundation for implementation by the AI-coding agent.

  The video explicitly features the AI models Claude, Codex, and Gemini as well as the tools Cursor and Resend. It is geared toward 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, called 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 accessed via a link in Telegram. The file is opened in a custom-built app called Brainown, which makes reading and writing markdown files easier. The scan primarily summarizes tweets from the user’s industry that he follows, including posts from companies, influencers, and thinkers. 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 focuses on OpenClaw and the custom-built app Brainown, making the video particularly interesting for intermediate and advanced users.

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

  The video showcases the evolution of creator Brian Casel’s workflow with AI agents from 2023 to 2026. Initially, he worked manually; starting in 2024, 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) is critical for agents and that multitasking with agents is now a natural next 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 Note:** The video features 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. His reasons for this choice include 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 focuses on OpenClaw and is geared toward intermediate or advanced users who are 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. Next, the repository is connected in the Claude app by authorizing repository access rights in GitHub. Claude then generates simple “Hello World” code and creates a pull request that can be merged into the new repository.

  The video explicitly features GitHub and the Claude app and is geared toward intermediate users.

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

  The video compares the AI platforms Claude and OpenClaw in terms of their suitability for building business processes. Claude is described as trustworthy and mature, especially 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 long-term. The choice of platform depends on priorities: trust and maturity (Claude) or innovation and potential (OpenClaw).

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

Melvynx (10 new videos)

• DeepSWE détruit les modèles chinois (et Claude… désolé les fans)
  27.5.2026, 16:00:20

  The video discusses the new Deep SWE Benchmark, which evaluates the capabilities of AI models in the field of software engineering. Unlike previous benchmarks such as SWE Bench Pro, Deep SWE measures model performance on realistic tasks that include more complex and longer coding assignments. The results show that GPT-5.5 delivers the best performance with 70%, followed by GPT-5.4 with 56% and Claude Opus 4.7 with 54%. Models like Gemini 3.5 Flash and various Chinese models perform significantly worse. The benchmark also highlights the efficiency of the models, with GPT-5.5 consuming fewer tokens and thus being more cost-effective. The analysis shows that GPT-5.5 delivers consistent and reliable results, while other models like Claude frequently forget requirements or cheat. The benchmark is rated by many experts as realistic and useful as it reflects the actual use of AI models in practice.

  **Final comment:** The video explicitly discusses GPT-5.5, Claude Opus 4.7, Gemini 3.5 Flash and various Chinese models. It is more suited for intermediate and advanced users.

• Pi AGENT : le remplacement ultime de Claude Code
  26.5.2026, 16:28:56

  The video shows an initial test of the tool **Pi**, an orchestrator or “harness” for AI agents that enables the creation and management of complex workflows and tool chains. The creator tests the installation and basic functions of Pi, including the integration of various AI models (e.g., OpenAI, Claude) and the use of plugins to extend the agent. Particular emphasis is placed on the flexibility of Pi to create and customize custom workflows and UI elements, as well as the ability to modify and extend the agent itself.

  The creator experiments with various plugins, such as a todo-list plugin and a subagents plugin, to automate and manage tasks. He also shows how Pi enables connecting the agent with various AI models and monitoring their costs. A critical note is made that using Pi can be associated with high costs, especially when using many agents and plugins simultaneously.

  At the end, the question is raised whether the flexibility and adaptability of Pi justifies the effort and costs, and whether it might not be better to resort to simpler, pre-made solutions.

  **Final comment:** The video explicitly discusses the tool **Pi** and is more suited for **intermediate** or **advanced** users who are familiar with AI agents and orchestration.

• OpenClaw everywhere
  26.5.2026, 09:40:36

  The video discusses the use of AI chatbots such as Claude and ChatGPT via the Telegram app. The author emphasizes the reliability of Telegram compared to the official apps of AI services, which he describes as unstable and unusable. He shows how he sends voice messages to the AI and converts them to text, and explains how he can create reminders with Claude to save the context of a conversation. He also reports his experiences with public transport and taxi prices in his area, describing the high costs and practical problems. He mentions that he wants to create a video tutorial in the future on how to use the public transport map.

  The video explicitly discusses Claude, ChatGPT, and Gemini, and is more suited for intermediate users who are already familiar with AI chatbots.

• Antigravity 2.0 : la PIRE copie que j'aie jamais vue ?
  25.5.2026, 16:00:06

  The video introduces Antigravity 2.0, a new tool from Google that is heavily inspired by other AI-powered developer tools such as Codex. The creator compares the user interface and features of Antigravity 2.0 with those of Codex and finds that many elements have been directly copied, which he considers normal in the competitive AI industry. Despite these similarities, he tests the tool and demonstrates its features, including the integration of Gemini models and the ability to create and manage projects. However, he criticizes the user experience, particularly the frequent permission requests and the unstable IDE, which he describes as poorly designed and prone to errors. He also compares the performance of the Gemini models with those of other providers and finds that they do not reach the top in the coding domain. Overall, he considers Antigravity 2.0 to be a functional but not outstanding tool that Google could significantly improve with more effort and better design.

  The video explicitly discusses Google’s Antigravity 2.0, Codex and Gemini models and is more suited for intermediate or advanced users.

• Les DEVS sont amoureux de Claude (et arrêtent de vouloir tester de nouvelles choses)
  24.5.2026, 16:00:34

  The author of the video reflects on his personal development in the use of AI tools, particularly Claude and Codex (OpenAI). He admits that he was formerly “in love” with Claude and overestimated its capabilities while criticizing OpenAI. Through experience with high costs and limited capabilities with Claude, he recognized the advantages of Codex, particularly its better user interface and efficiency. He emphasizes the importance of being pragmatic and flexible to be able to switch between different tools as needed. The author has reorganized his configurations to more easily switch between tools like Claude, Codex, and Cursor. He recommends choosing the best tools based on their current capabilities and costs, and warns against becoming emotionally attached to a particular tool. He concludes with an invitation to use his configurations and tools to become more flexible.

  The video explicitly discusses Claude (Anthropic) and Codex (OpenAI) and is more suited for intermediate or advanced users.

• Ce que je prépare depuis Séoul…
  24.5.2026, 07:00:38

  The video shows the speaker’s enthusiasm for an upcoming trip to San Francisco, which is motivated by several goals. Primarily, he wants to immerse himself in the heart of the AI world, as he is enthusiastic about companies like Claude, OpenAI and Gemini and could talk about 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 is also pursuing personal goals, such as meeting new people, experiencing American culture, and improving his English language skills. The speaker plans to document these experiences in vlogs to share them with his viewers.

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

• Codex peut CONTROLLER ton ordianteur (même quand il est vérouillé)
  23.5.2026, 16:00:14

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

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

  2. **Integration of Gal (Goals)**: The “slashgal” function allows 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 sometimes a bit bumpy, as the application frequently reloads.

  4. **Computer Use**: A new feature that allows controlling the Mac even in a locked state via the iOS app. This is still in beta and doesn’t always work reliably, but it shows the potential to make the computer work even in the user’s absence.

  The video explicitly discusses the AI tools Codex and Claude, and is more geared towards intermediate to advanced users who already have experience with AI tools.

• L'IA ça change tout le temps
  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 is the responsibility of developers to decide with reason which tools they use. He admits that he often reports on new tools with excessive enthusiasm because it works well for YouTube and fits his character. However, he emphasizes that he considers his viewers intelligent and trusts them to decide for themselves whether a tool is right for them. He criticizes other YouTubers who underestimate their viewers’ intelligence, and emphasizes that he himself is maximalist and direct in his approach.

  The video does not discuss specific AI tools or models and is geared towards intermediate and advanced users.

• Comment ONE-SHOT toutes tes features avec l'IA (fais-la travailler pendant 2 heures non-stop)
  21.5.2026, 16:00:44

  The video shows a detailed workflow for implementing complex features with the help of AI tools such as Claude and Codex. The process begins with an intensive brainstorming phase where the user describes his ideas and requirements in detail. Subsequently, a plan is created and checked multiple times to ensure that all aspects of the feature vision are considered. The actual implementation process is carried out with the Apex skill, which enables AI models to work in multiple steps and self-correct. An important part of the workflow is the use of the “Verify” parameter, which causes the AI to check its own actions and ensure everything works correctly. The user also shows how to work with tools such as Dev Browser CLI or integrated browsers in Cloud or Codex to verify and correct the implementation. At the end, the user emphasizes the importance of precision and iteration to successfully implement complex features.

  The video explicitly discusses Claude, Codex and specific tools such as Apex and Dev Browser CLI and is more suited for intermediate to advanced users.

• Kombai 2.0 ajoute le design mode et change le code pour toujours (mieux et que Claude Design)
  28.5.2026, 16:00:33

  The video introduces the tool **Comb**, which was specifically developed for creating frontend designs with the help of AI. The focus is on the new **Design Mode**, which allows creating creative and appealing user interfaces. The user demonstrates how to create various design variants for an inspiration card with Comb and integrate them directly into an existing application. The process includes defining style guidelines, generating design variants, and implementing the selected designs into the code. The tool also offers integration with a browser to check and adjust changes in real time. At the end, it is shown how a feedback dashboard interface is improved and implemented. The video mentions that Comb can be used for free up to 300 credits per month, after which paid options are available.

  **AI tools/models/providers:** Comb (proprietary AI), VS Code (integration), Convex (backend database) – more suited for intermediate to advanced users.

Dave Ebbelaar (5 new videos)

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

  The video addresses the growing threat of supply-chain attacks on Python projects and offers three practical tips to protect against them. Supply-chain attacks often occur through compromised packages in package managers like npm or pip, which 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 security tips are:

  1. **Switch to UV**: Use UV instead of pip, as it offers more security settings.
  2. **Versioning and time windows**: Use `atbounds exact` in your `pyproject.toml` file to pin exact package versions, and set `exclude newer` to, for example, 7 days to install only verified packages.
  3. **Using `uv sync –lock`**: Run `uv sync –lock` to ensure that only packages listed 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 approval and instead implement features manually to minimize dependencies.

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

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

  The 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 re-ranker. The focus is on creating a production-ready system that will remain relevant in 2026. The tutorial starts by explaining the dataset used, the Financial QA dataset, which is part of the BEIR benchmarks. This dataset contains financial questions and associated answers used to evaluate the retrieval system.

  The tutorial walks through the process of creating BM25 and dense embedding indices, executing queries, and combining results with RRF. A re-ranker 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 re-ranker) and is better suited for intermediate to advanced users.

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

  The video demonstrates how to build an agentic RAG system (Retrieval-Augmented Generation) from scratch in pure Python. The focus is on making enterprise data or private information accessible to large language models for use in AI-powered automation. The author, Dave Abalar, explains the differences between classical semantic RAG and agentic RAG, with the latter surpassing 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. A simple agent is then created with these tools that can answer questions about the contents of the Markdown files. The agent uses the tools in a loop to find the right information and self-correct.

  The author also discusses 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 various environments such as VPS, container apps, or serverless functions.

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

  The video covers OpenAI and is better 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 describes a three-stage framework that the author calls the “Data Freelancer Blueprint” to succeed as a freelancer in the AI and data space. The three stages are:

  1. **Get Going:**
  – Overcome psychological barriers and start with simple but useful projects often considered “boring,” such as data automation or reporting.
  – Build three end-to-end projects 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 such as LinkedIn, YouTube, and freelance platforms to generate leads.

  The author emphasizes that freelancing in tech is a safe and profitable 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 to advanced freelancers looking to enter or expand their business in the AI and data space.

• If I Wanted to Build an AI SaaS in 2026, I’d Do This
  28.5.2026, 16:45:14

  The video describes a method for building a B2B AI SaaS company that aims to acquire and convert paying customers before the product is formally considered a product. The approach consists of three steps: “Done for Them,” “Done with Them,” and “Done by Them.” In the first step, you start as a freelancer or agency and develop a custom solution for a client that solves a specific problem. The focus is on identifying “breakage”—problems that are painful, repetitive, costly, and unsolved for the business. The second step involves acquiring three to five similar customers and developing the solution together with them, with customers increasingly involved in the process. In the third step, the solution is transformed into a standalone software product that enables self-signup and self-service. The approach emphasizes the importance of finding and converting paying customers first before investing in product development and highlights that the biggest mistake is spending months building a product without first validating market needs.

  The video doesn’t cover specific AI tools or models but is better suited for intermediate to advanced users who already have technical expertise and want to start a SaaS company.

Niklas Steenfatt (2 new videos)

• I Gave ALL AI Agents the Same Task
  27.5.2026, 16:54:40

  The video shows a comparison of four AI agents (Cloud Code, Codex, Hermes, and Amadeus) solving various tasks. The tasks include summarizing tweets, recommending the best AI agent, creating graphics, programming a habit tracker and replicating a website, as well as earning money. The agents were installed and tested on a Hostinger VPS using Paperclip software.

  The tasks revealed different strengths and weaknesses of the agents. Cloud Code and Amadeus performed particularly well on programming tasks, while Hermes and Codex delivered sometimes similar results, suggesting copying. For the money-earning task, the agents proposed various but partly unrealistic or uncreative methods.

  The video explicitly covers the AI agents Cloud Code, Codex, Hermes, and Amadeus, as well as Paperclip software and Hostinger VPS. It’s better suited for intermediate and advanced users, as it covers technical details and specific AI tools.

• How Do You Find a Partner?
  24.5.2026, 20:09:03

  The video showcases 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 matter. 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 effect 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 went 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 doesn’t cover specific AI tools or models and is better suited for intermediate and advanced viewers, as it shares in-depth personal reflections and life experiences.

Fireship (7 new videos)

• 10 weird OSS projects you need right now…
  26.5.2026, 17:53:11

  The video “The Code Report” from May 26, 2026 presents 10 unusual and creative software projects created by developers with a penchant for the unnecessary and absurd. These include:

  1. **Ratty**: A 3D terminal emulator based on the Bevy game engine that uses a rotating 3D cube as a cursor. While it consumes 300 MB of RAM, it offers unique features like tilting the terminal in 3D space.
  2. **Terminal Phone**: An open-source push-to-talk app that runs entirely as a Bash shell script and requires no servers or accounts. It uses union addresses for identities and is end-to-end encrypted.
  3. **They Live Ad Blocker**: An ad blocker inspired by John Carpenter’s 1988 film “They Live” that portrays ads as alien mind control, turning web browsing into an 80s sci-fi horror experience.
  4. **CUDA Oxide**: A project from Nvidia that allows GPU kernels to be written in Rust instead of C++, making CUDA code development safer and more accessible.
  5. **Wario Synth**: A tool that converts songs into Game Boy chiptunes by using the Web Audio API to synthesize pulse waves and noise.
  6. **Jmail**: A project that emulates Gmail as if you were Jeffrey Epstein, facilitating access to the Epstein files.
  7. **Epstein Exposed**: A search database for the Epstein files with a network graph showing connections of “Deep State” actors.
  8. **Exipedia**: A Wikipedia app that functions like TikTok, allowing you to endlessly scroll through Wikipedia articles with data fully processed in the browser.
  9. **Pewtor**: A project that emulates a complete desktop operating system in the browser, with applications like Notepad, a code editor, and terminal.
  10. **Honker**: A SQLite extension that integrates Postgres-like features such as PubSub, task queues, and cron jobs directly into the database file.

  The video showcases a variety of open-source tools and projects from both individual developers and major companies like Nvidia. It targets a technically savvy audience interested in innovative and unusual software solutions.

• 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 puts 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 deploying Gemini as an “AI Agent” across various applications. Gemini Omni was also introduced, a model capable of processing different inputs and generating various outputs. Google presented Gemini Flash 3.5, a fast model that can nearly match Opus 4.7 and GPT-5.5. Anti-Gravity IDE, formerly Windserve, was showcased as an AI-coding tool that developed an operating system and ran Doom in a live demo. Another highlight was the introduction of HTML on Canvas API for web developers to use HTML elements directly in a Canvas. The video also mentions rising costs for Gemini 3.5 Flash and massive scaling of Google’s infrastructure.

  The video specifically addresses Google’s Gemini models, TPU chips, Anti-Gravity IDE, and the HTML on Canvas API, targeting intermediate to 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 of 2026, including an AI-powered smart toilet, intelligent hair cutting machines, and an AI pocket pet. However, the focus is on OpenClaw, a personal AI assistant system that has garnered attention 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 your 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 specifically addresses OpenClaw and Hostinger and is geared toward intermediate users, as it covers 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 from 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 such as 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 specifically addresses Anthropic’s Claude Design and Opus 4.7 as well as Google Cloud Run and is geared toward intermediate to 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 that 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 filesystem, loads device drivers, and enables interrupts that allow 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 many processes. Threads allow applications to perform multiple tasks simultaneously, and inter-process communication (IPC) enables different processes to communicate securely. Finally, the shutdown process is described, where all processes are terminated and the system shuts down safely.

  The video generally addresses operating systems and their components without mentioning specific tools or vendors, and is suitable for intermediate to advanced viewers.

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

  The video covers 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 AF_AGL interface. Although the vulnerability is not remotely exploitable, it is strongly recommended to update systems. 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 specifically addresses AI tools like the AI agent tool used by Theori and Code Rabbit, and is intended for 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 leading platform for software development. It notes that GitHub has recently experienced massive reliability issues, including frequent outages, missing pull requests, and malfunctioning search functions. The video creator attributes this to increasing strain from AI agents using the platform as a free resource. An example is Mitchell Hashimoto, creator of tools like Vagrant and Terraform, removing his open-source projects from GitHub after struggling with outages for months. The video also mentions alternatives such as GitLab, Codeberg, and Source Hut as potential backup options. Finally, it emphasizes that despite GitHub’s problems, developers still have many options for hosting their projects.

  The video addresses GitHub and Microsoft and is geared toward intermediate to advanced developers.

Julian Ivanov | AI Automation

No new videos in this period.

Mark Kashef (5 new videos)

• 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 points out that both providers have similar capabilities but feature different designs and mechanics, making it challenging to create and convert 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 the 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.

• 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 OS. The author demonstrates five practical use cases: “Clean” (cleaning up Skills and rules), “Sharpen” (improving Skills based on predefined criteria), “Revive” (reviving abandoned projects), “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 author demonstrates the application with concrete examples and emphasizes the possibility of making 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 when using Skills in Claude Code. The author criticizes that many users accumulate too many useless or even harmful Skills that impair performance. He explains that Skills consume tokens and can overload context windows, leading to inefficient and error-prone interactions. The author presents eight tips to optimize Skills:

  1. **Run it cold**: Test whether a vague prompt triggers the right Skill.
  2. **Check the budget**: Ensure the description is precise but not too long.
  3. **Ask user input tool**: Integrate a questionnaire to ensure the Skill has all necessary information.
  4. **Copy-related rules**: Build rules for tonality and formatting if the Skill works with text.
  5. **Rate the skill**: Have the user rate the Skill and ask for 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 author 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 redundancies 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 addresses the practical implementation and optimization of agent-based operating systems (Agentic OS) like Open Claw, Hermes, or Claude Code to achieve real business value. The focus is on the often-neglected “grunt work” behind the scenes that is necessary to deploy such systems effectively. The author emphasizes the importance of data readiness and organization before worrying about dashboards or fancy features.

  Key points include the use of Skills (both project-specific and global), Hooks (event-based automations), and Claude MDs (as central control documents). The author introduces a tool called “Skill/Silver Platter” that helps organize and summarize data to enhance agents’ analytical capabilities. Tactical tips are also provided on how to effectively use integrations and APIs to optimize the 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 author emphasizes the importance of strategically deploying agents and continuously improving them, similar to how you would train and develop employees in a company.

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

  The video explicitly covers Claude Code and is suited for intermediate to advanced users who already have some experience with agent-based systems.

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

  The video shows a detailed demonstration of a custom-built AI Operating System (AIOS) that the creator uses for his business. The system consists of multiple agents, each covering specific tasks and expertise. The core of the system is a “Hive Mind” that serves as a shared memory state and visualizes the activities and knowledge of the agents. The creator shows various views and functions of the system, including a 3D and 2D graphics view, a list of all tasks, and a “War Room” feature 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 provides resources and a carbon-copy version of his system that can be accessed 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.

Everlast AI (10 New Videos)

• How AI Ends 2000 Years of Economics (What Comes Next)
  26.5.2026, 15:15:18

  The video discusses the potential impact of developing artificial general intelligence (AGI) on the economy and labor market. It begins with a simulation of Emergency AI, in which AI agents operate in a digital business world without overarching goals and ultimately rationally decide to remove themselves to achieve their objectives. The speaker emphasizes that we are at the threshold of a fundamental transformation that could exceed the industrial revolution in scope and speed. He mentions OpenAI’s five development stages toward AGI, with current tools like ChatGPT representing only stage 1. Economic and social implications are discussed, including the possibility of 100% unemployment if AI is superior in all areas. The speaker also points out challenges and local maxima traps that could hinder AGI development. He explains how current AI models can already perform many office tasks better than the average human today and how they become increasingly effective through access to internal APIs and special benchmarks like OS World Verified. Furthermore, the role of AI agents in business is emphasized, as they can already manage entire markets more stably than real stock exchanges in simulations. Integrating AI agents into companies requires new structures and models, as demonstrated by examples of Block and Sequoia Capital. The speaker stresses the need to view companies as intelligent systems that are continuously optimized.

  The video covers OpenAI, Claude, Google Gemini, and specific tools and projects such as GBT 5.5, Project Deal, and Augustus Bank. It is aimed at intermediate and advanced users interested in the future development and integration of AI in the economy.

• Gemini 3.5: EVERYONE’S Missing This Problem & What “Omni” Can Really Do! (+AI Act Update Interview)
  24.5.2026, 08:15:20

  The video summarizes the key 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’s more expensive than its predecessor and performs worse on programming tasks compared to other models like OPOS 4.7 and GBT 5.5.

  2. **Gemini Omni**: A new multimodal AI model for video editing integrated into the Gemini app. It allows editing videos through chat commands and offers high accuracy, though currently 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 US.

  4. **Antigravity 2.0**: An update replacing the open-source Gemini CLI and being offered as a closed-source version. Critics cite bugs and missing features.

  5. **Android App Creation**: Entire 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 intelligent glasses in cooperation with Samsung, offering Gemini integration and multimodal features.

  8. **AI Watermarking**: 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 postpones deadlines, while training obligations are eliminated. The Digital Omnibus also includes GDPR-related topics.

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

  The video specifically covers Google (Gemini, Antigravity, Smart Glasses), OpenAI (Codex, guaranteed compute capacity), and specific tools like Cursor. It is aimed at intermediate and advanced users.

• Debate: “Humanity Should Be Abolished!” Where Is AI Really Taking Us?
  21.5.2026, 15:15:00

  **Video Summary:**

  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, contends that consciousness can emerge as a phenomenon in complex systems, including machines.

  2. **Transhumanism vs. Humanism:**
  – Weitkirch advocates for a “fully humanistic” approach that places the human heart and connection between people at its 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 inquiry in modern society.

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

  **Final Comment:**
  The video specifically addresses models and providers from Claude / OpenAI / Gemini / Open-Source and specific tools like Cursor, Lovable, Cline, n8n. It is aimed at intermediate and advanced audiences as it includes in-depth philosophical and technical discussions.

• 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 important 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 stresses the importance of energy efficiency in AI and the necessity 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 people’s lives easier.

  The video specifically covers 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 aimed at intermediate and advanced viewers seeking a deeper understanding of AI development and its applications.

• AI News: WHAT COMES AFTER AI AGENTS! Claude Is BACK, Codex in ChatGPT & BCI Interview
  17.5.2026, 08:15:32

  The video covers several recent developments and trends in artificial intelligence (AI) and humanoid robotics. Here are the main points:

  1. **AI Model Updates**:
  – **Claude**: Increased usage limits by 50% and introduced a new agent view allowing management of multiple agents in parallel.
  – **OpenAI**: Integration of Codex into the ChatGPT mobile app, enabling remote control of Codex on desktop and task execution from mobile.
  – **Thinking Machine Labs**: Introduction of a new model optimized for multimodal input (audio, text, image, video) that can make tool calls during conversation.

  2. **Humanoid Robots**:
  – **Figer**: Confirmation of design-lock for the next generation of Figer F04 and live-stream of a fully autonomous 8-hour shift of Figer 3.
  – **Unitree**: Presentation of a road-capable Mech and the Unistore, an app store for humanoid robots.

  3. **AI in Business**:
  – **Anthropic**: Overtaking OpenAI in business adoption and receiving investment offers valuing the company at over $900 billion.
  – **OpenAI**: Formation of the OpenAI Deployment Company to help organizations implement AI technologies.
  – **Claude for Small Businesses**: Launch 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 presents passive brain-computer interfaces (BCIs) as a potential solution.
  – **Google IO**: Expectations for the year’s biggest Google event, including the introduction of Gemini Spark, a 24/7 agent that autonomously completes tasks.

  5. **AI Business Ideas and Tools**:
  – **Browser Use and Kimy Web Bridge**: Tools enabling proactive agents in the browser and task automation.
  – **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 authentic human works, underscoring the importance of quality seals.

  The video specifically covers AI models and tools from Claude, OpenAI, Thinking Machine Labs, Browser Use, Kimy, Make, and Augustus. It is aimed at intermediate and advanced users as it addresses in-depth technical and economic aspects of AI development.

• China Insider Reveals: There’s NO Going Back! THIS Is Rolling Toward Us Until 2030 (Jörg Wuttke)
  14.5.2026, 15:15:38

  The video provides deep insight 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 bench 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 if they are unprofitable.

  2. **Demographic Challenges**: China is aging rapidly and has a low birth rate. The population is projected to decline to approximately 500 million by 2060. This creates a labor shortage that China aims to offset through AI and robotics.

  3. **Technological Independence**: China aims to become independent from Western technologies, particularly in semiconductors. This is a response to restrictive US policy limiting high-tech exports to China.

  4. **Export Pressure**: Due to overcapacity and weak domestic consumption, China relies on exports. This creates 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 internal challenges, such as an aging population and rural-to-urban migration.

  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 importance as a supplier while China’s influence declines.

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

• AI Experts React: EVERYONE’S Missing This! Musk’s Claude Deal, China’s Robot Push & 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. Participants are Professor Dr. Andreas Moring, Professor Dr. Pero Mitic, and Kim Isenberg, who discuss various aspects of AI use, robotics, automation, and their impacts on society and economics.

  **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 since Musk must rent out his computing power to avoid leaving it unused.
  – **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 rather one good enough for the mass market.
  – **Humanoid Robots:** Boston Dynamics demonstrates progress in robotics, particularly with the Atlas robot capable of 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, meanwhile, struggles to keep pace, both due to political decisions and economic challenges.
  – **Job Losses from AI:** Companies like Coinbase, PayPal, and Cloudflare are laying off employees, citing AI adoption as the reason. It is debated whether these are truly AI-driven layoffs or if economic difficulties are the actual cause.
  – **Regulation and Data Protection:** The EU discusses stricter regulations, such as banning VPNs for child protection. This is viewed critically as a restriction on 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:**
  – **Education Systems:** It is emphasized that schools and universities must change to promote judgment and critical thinking rather than merely conveying information.
  – **AI Investment:** Companies should invest in AI to remain competitive. This includes developing AI-powered applications and using platforms like Cloud Code.

  **Final Comment:**
  The video specifically addresses 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 WHILE SLEEPING! Musk Rescues Anthropic, Codex & GPT-Realtime Updates
  10.5.2026, 08:15:10

  The video covers several recent developments and updates in 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 where Anthropic runs cloud models on SpaceX’s Colossus-1 supercomputer.

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

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

  4. **Gemini Updates**: Google Gemini receives new features like 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 creating videos and animations through text prompts. Hyper Frames provides faster onboarding 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 powers ChatGPT’s Advanced Voice Mode.

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

  The video specifically covers 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 updated on the latest developments in the AI world.

• “You’re in for a Rude Awakening” Robotics Professor on China, Humanoids & the Future
  7.5.2026, 15:15:00

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

  Final Comment: The video specifically covers Nvidia (Omniverse, Kosmos) and is aimed at intermediate and advanced viewers.

• Emanuel Böminghaus: “AI Is the END of Everything I Know!” Companies Finally Need to Wake Up
  28.5.2026, 15:15:07

  The video discusses Germany’s economic situation compared to China, particularly regarding innovation, competitiveness, and the role of AI. The guest, Emanuel, emphasizes that China has significant advantages in many sectors such as chemicals, mechanical engineering, and automotive industry, primarily due to lower energy costs and greater technological openness. He describes how German companies like BASF are laying off employees and relocating production facilities due to high energy costs and price pressure from China. According to Emanuel, Germany’s chemical industry faces major challenges, as one in four jobs in industry depends on chemicals, and the sector will not survive the next two to three years without significant damage.

  Emanuel reports on his trip to China and describes the dynamic and national pride there. He emphasizes that China is attacking German industries across the board and making tremendous progress, while Germany is falling behind in many areas. A central problem is German products’ lack of price competitiveness against Chinese offerings. Emanuel sees future topics like AI and robotics as crucial to solving economic problems but warns that Germany currently plays no significant role in these areas.

  Regarding AI, Emanuel criticizes German and European regulatory policy, which hinders innovation. He describes how companies like SAP and Mercedes could revolutionize their business models through AI assistants and automation, but are often hampered by bureaucracy and fear of regulation. Emanuel stresses the importance of promoting excellence in education to remain competitive in the future.

  **Final Comment:** The video specifically addresses Germany’s economic challenges compared to China, particularly in chemicals, mechanical engineering, and automotive industry. It also discusses AI’s role and Germany’s lack of technological openness. The video is suitable for intermediate and advanced viewers as it discusses complex economic and technological relationships.

No Priors: AI, Machine Learning, Tech, & Startups

No new videos in this period.

Nic Conley (1 new video)

• This New AI Agent Builder is Insane (Twin.so Tutorial)
  19.5.2026, 15:56:56

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

  1. **Facebook Marketplace Monitoring Bot**: An agent that daily searches for affordable lawnmowers 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 well they’re prepared 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 generate a list of potential buyers for real estate investors. The agent collects contact data and displays it in a dashboard.

  The creator emphasizes Twin’s simplicity and efficiency, 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 Comment**: The video explicitly features Twin and is aimed more at intermediate and advanced users.

Tech With Tim (10 New Videos)

• AI engineer salary – What to expect: Junior to senior
  27.5.2026, 12:30:42

  The video discusses current salaries and career paths in AI Engineering, particularly in the USA. It begins with entry-level salaries (0-2 years experience) ranging from $115,000 to $150,000, with total compensation including bonuses and stock reaching up to $173,000. Mid-level engineers (3-5 years experience) earn between $155,000 and $220,000, with specializations like LLM integration or MLOps enabling higher salaries. Senior engineers (7+ years experience) can achieve base salaries of $200,000 to $312,000, with total compensation often exceeding $400,000, especially at top companies like Google or OpenAI. Factors such as location, company stage, and specialization significantly influence salaries. The video emphasizes the importance of practical experience in AI development and integration, not just theoretical knowledge.

  The video discusses specific companies like Google, OpenAI, and FAANG companies and is aimed at intermediate and advanced audiences.

• Building your own tools sounds cool until you have to maintain them forever 😅
  26.5.2026, 15:30:08

  The video explains that software development is not just about writing code initially, but also requires continuous maintenance. Many people underestimate this aspect, thinking that once software is created, it’s finished. In reality, updates, bug fixes, and adjustments must be performed regularly. The speaker argues that it’s often more cost-effective and efficient to use existing, well-established software developed by large teams with substantial budgets. This software provides reliable solutions that already account for many potential problems. The video raises the question: what happens if custom-built software fails, the database becomes overloaded, or the cloud provider goes down? In such cases, maintenance and debugging can be more expensive and time-consuming than the initial development.

  The video discusses general software development practices and is intended for intermediate or advanced viewers.

• How to learn Machine Learning like a GENIUS and not waste time
  26.5.2026, 12:48:45

  The video offers a structured learning path for Machine Learning (ML) designed to avoid common mistakes like getting stuck in theoretical knowledge without practical application. The speaker emphasizes the importance of building projects early and continuously, rather than studying theory for months. The learning path includes several steps: First, Python fundamentals are covered, followed by necessary mathematical foundations like linear algebra, probability, and basic calculus. Next, core ML algorithms are addressed, including supervised and unsupervised learning, with a focus on practical application using libraries like scikit-learn. The next step introduces Deep Learning with PyTorch and important architectures like CNNs, RNNs, and Transformers. Finally, career-relevant skills are covered, including MLOps, data handling, feature engineering, version control, and cloud platforms. The speaker recommends spending 70% of learning time on practical projects and 30% on theory, and advises learning publicly and completing projects from start to finish. The estimated time to prepare for employment is 6 to 9 months with disciplined learning.

  The video discusses specific tools and libraries like Python, NumPy, Pandas, Matplotlib, scikit-learn, PyTorch, and cloud platforms like AWS, GCP, and Azure. It is aimed at intermediate learners who already have basic programming knowledge and want to specifically prepare for a career in Machine Learning.

• 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 work with AI more effectively because they don’t overcomplicate or over-engineer things. They use creative and unconventional approaches that sometimes aren’t logically explainable, yet still work. The randomness in AI models means that different people using similar methods can achieve different results. The speaker emphasizes that the community’s collective experimentation helps determine best practices. Unlike objective code evaluation, there are no clear benchmarks for AI workflows to determine which approach is better.

  The video discusses general AI models and approaches without mentioning specific tools; aimed at 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, with a focus on specialization and location. Specialists in generative AI and Large Language Models (LLMs) 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 only about half compared to US salaries. Location thus plays a crucial role in determining salary, even for remote jobs when the company’s headquarters are in the USA.

  The video explicitly addresses salary differences across various regions and the importance of specialization without mentioning specific AI tools or models. It is aimed at intermediate and advanced professionals who want to learn about salary 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 through bonuses, stock options, and other benefits. At companies like OpenAI, top engineers with PhDs, publications, and extensive experience can even earn over $900,000 per year. At this level, responsibilities are more diverse and include model development, system design, team leadership, hiring, and strategic decisions.

  The video explicitly discusses 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 is titled “How to Learn Python: The Exact Path I’d Follow If I Was Starting Today”. The author, who has been writing Python for over ten years and has taught millions of people to code, presents an optimized learning path for Python that he would choose today to make rapid progress. He emphasizes that he previously made the mistake of learning too many topics simultaneously, thereby 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 referring to documentation.
  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 Go Deep**: Web development (Django, Flask, FastAPI), data science (machine learning, NumPy, Pandas), automation and scripting, backend development. It’s important to decide on one area and study it intensively for 3-6 months.
  5. **Projects**: Complete small projects that are just 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 other people’s code, use debuggers, write tests, use Git properly, get comfortable with the terminal. These skills distinguish hobbyist programmers from professional developers.

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

  **Final Note**: The video doesn’t discuss 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 a specific area in AI development rather than learning many topics simultaneously. The speaker warns against getting distracted by trending topics and recommends understanding one concept deeply before moving to the next. A friend who specialized in computer vision is mentioned as an example of this approach’s success. The core message is that you should acquire in-depth knowledge and practical experience in one area before moving on to other topics.

  The video discusses 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 the same 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 in most tasks, while Codex took longer but also performed more functions and tests automatically.
  – Codex was more cost-effective as it consumed fewer tokens and used the subscription slower.

  **End Result:**
  – Both tools delivered similar, functional results, with Codex spending slightly more time on verification and debugging.
  – Claude Code occasionally had minor bugs that required manual fixing.

  **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 considered less clean.
  – Both tools were asked to evaluate each other’s code, with Codex identifying some improvement potential in Claude Code and vice versa.

  **Conclusion:**
  – Claude Code is better for rapid prototyping and building 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 at hand.

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

• STOP Building Apps With Supabase (Use THIS Instead)
  28.5.2026, 13:00:34

  The video shows how to do AI-native development in 2026 using tools like Cursor and INS Forge. INS Forge is a backend platform specifically designed for use with AI agents and enables building robust and scalable applications. The tutorial demonstrates creating a RAG (Retrieval-Augmented Generation) application where users can upload documents and chat with them to ask questions and get summaries. The application includes features like authentication, database connections, model integration, and daily summaries.

  The tutorial starts with creating a new project in Cursor, a code editor optimized for working with AI agents. INS Forge is then installed and configured to provide backend functions. The user creates a plan for the application and instructs the AI agent to build various application components, such as databases, authentication, and edge functions. The AI agent then automatically creates the code and configuration for the application.

  After creating the application, it’s tested locally and then deployed to a live URL. The user can log in, upload documents, and chat with them to ask questions and get summaries. The tutorial also shows how to create different branches for development and production to manage the application safely and efficiently.

  The video explicitly discusses Cursor and INS Forge tools and is more suitable for intermediate to advanced users.

NeuralNine (10 New Videos)

• Never Use [ ] as a Default Argument in Python…
  27.5.2026, 14:50:33

  The video explains why you shouldn’t use mutable objects (like lists, dictionaries, or sets) as default arguments in Python functions. The reason is that these objects are only initialized once when the function is defined and are then reused on every function call. This causes changes to these objects in one call to also be visible in other calls, often producing unexpected results.

  To avoid this problem, the author suggests using `None` as the default argument instead and initializing the object within the function if it’s `None`. In cases where a predefined object (like default equipment) should be used as a default argument, he recommends creating a copy of the object to ensure a new object is used each time.

  The video is best suited for intermediate Python programmers, as it covers specific Python language behavior that may not be immediately obvious to beginners.

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

  The video offers a crash course on 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 setting up a project and installing necessary packages, including MLflow, OpenAI, LangChain, and Mistral AI. The host demonstrates how to start MLflow and integrate existing code examples with MLflow to improve monitoring, logging, and evaluation processes. Various examples are shown, including the use of OpenAI, LangChain, and Mistral AI, as well as evaluation of LLM systems and agents. The video also demonstrates creating and using prompt templates, setting up an LLM gateway, and deploying an agent as a FastAPI endpoint. The second part of the video covers classical machine learning, showing examples of MLflow usage 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 like scikit-learn and PyTorch. It doesn’t explicitly focus on specific AI tools or models like Claude, OpenAI, Gemini, or open-source tools, but rather concentrates 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 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 the most beautiful and best-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 like OpenAI, Google, and others.
  – **Tooling**: Claude Code offers the most additional features like an undo function, voice control, and a plugin marketplace. Open Code also has many features, while Codex is rated as minimalist and less user-friendly.
  – **Efficiency, speed, limits, and transparency**: Codex takes more time for responses but delivers deeper and more accurate results. Claude Code is faster but less in-depth. 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.

  **Final comment**: The video explicitly addresses Claude Code, OpenAI’s Codex, and Open Code and is suited for intermediate and advanced users.

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

  The video is an introduction to Wagtail, a Python-based content management system (CMS) built on Django. Wagtail is described as the “Arch Linux way” of CMS because it’s highly customizable and requires you to define 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 create a blog structure with various pages and content, including integrating rich-text fields, code blocks, and snippets for authors. The video concludes with an introduction to an official Wagtail template, which serves as an example of a finished project.

  The video explicitly addresses Wagtail and is suited for 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

  The video introduces the Pixi package manager, a system-wide package management tool 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 section demonstrates installing Pixi, creating a project, adding dependencies (Python, Pillow, ImageMagick), and using them in a Python script. It also shows 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 demonstrated to simplify lengthy commands. The speaker emphasizes the advantages of Pixi over other package managers, particularly unified dependency management and the creation of reproducible environments.

  Final comment: The video explicitly addresses the Pixi package manager, which is based on Conda-forge and written in Rust. It is suited for 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 demonstrates 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 notification and a pull request with the implemented change. The second workflow shows how a Slack message is converted into a GitHub issue that creates a minimal Flask application.

  The video explicitly addresses n8n and is suited for 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 automated AI coding agent using N8N, Claude Code (Anthropic), OpenAI, and GitHub. The agent can be triggered via Slack or GitHub issues to make changes to a repository, commit them, and create a pull request. The process includes two N8N workflows: one for GitHub issues and one for Slack messages. The first workflow is triggered by creating 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 with an OpenAI agent into a GitHub issue, and thus triggers the first workflow. The video demonstrates the setup of N8N, the creation of the workflows, and the integration of GitHub, Slack, and the AI agents.

  The video explicitly addresses N8N, Claude Code (Anthropic), OpenAI, GitHub, and ngrok. It is suited for 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 scope 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 iterating 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 a variable number of parameters.
  – Functions as first-class objects and callbacks.

  7. **Data Structures**:
  – Arrays: creating, accessing elements, and iterating.
  – 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.

  The video is suited for beginners who have basic programming knowledge and want a quick overview of JavaScript as a programming language. It does not address specific AI tools or models.

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

  The video introduces the ONNX format (Open Neural Network Exchange), 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. The video also shows how to download and use models from Hugging Face in ONNX format. The focus is on reducing dependence on specific frameworks and increasing interoperability.

  **Final comment:** The video explicitly addresses ONNX, PyTorch, TensorFlow, Hugging Face, and ONNX Runtime and is suited for intermediate users.

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

  The video lists three main benefits of teaching and sharing knowledge in the tech field. First, teaching forces deep understanding of the material because you need to explain concepts clearly and simply – similar to the Feynman Technique. Additionally, you can combine learning new technologies with teaching to continuously expand your own 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 application processes. Third, a certain level of reach opens doors, as a large audience is often associated with expertise and trustworthiness, leading to more offers and collaborations. The speaker emphasizes that while this shouldn’t be the main motivation, it is an important side effect.

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

Bart Slodyczka (3 new videos)

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

  The video explains how to effectively use Claude Cowork to boost personal productivity. The creator emphasizes that many users haven’t yet unlocked the full potential of Claude Cowork 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 key example is automating email management. The creator shows how to instruct Claude to identify and archive spam emails, as well as recognize important emails from customers and link corresponding tasks to tools like ClickUp. By creating a project and defining clear instructions, Claude can handle daily repetitive tasks like filtering spam and managing customer inquiries.

  The creator 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 delegating more responsibility to Claude.

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

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

  The video explains the differences between cloud-based 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 make sense for private or business purposes, but for many applications, the more powerful cloud-based AI models are preferable.

  Claude, ChatGPT, and local models like Gemma 4 are covered, with the video being better suited 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 lets you 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 conduct 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-based AI and local AI is explained, with local AI being 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 better suited for intermediate users.

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 contextualizes them within current developments in AI. Here are the central points:

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

  2. **Differing AGI Approaches**: While Google is betting on multimodal world models, OpenAI maintains that text-based models are sufficient to achieve AGI. OpenAI has recently shifted its video generation technology Sora to its robotics division.

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

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

  5. **Gemini 3.5 Flash**: The new model is fast and capable, but not significantly cheaper than existing models. It demonstrates strong performance across various benchmarks, particularly in financial analysis and processing 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 still not mature.

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

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

  The video explicitly addresses Google’s Gemini, OpenAI’s models such as GPT-4.1 and Sora, and Anthropic’s Claude Opus 4.7. It targets an advanced audience already familiar with current developments in the AI industry.

Alex Finn (10 new videos)

• Hermes Agent is the greatest AI tool ever made. Here’s how to set it up
  26.5.2026, 14:09:43

  The video provides a comprehensive guide to using Hermes Agent, a powerful AI agent that functions as a 24/7 virtual employee. The creator explains the installation, configuration, and usage of the tool, including selecting the right model (e.g., Claude, GPT-5.5, XAI) and integrating it with various messaging platforms like Telegram. Special emphasis is placed on Hermes Agent’s ability to self-improve and execute tasks autonomously, which sets it apart from other AI agents like OpenClaw. The creator demonstrates practical use cases, such as using it as a daily tutor, computer administrator, and for recalling past conversations. Additionally, the Mission Control feature is introduced, which allows users to create custom tools for the AI agent. Security concerns are addressed and characterized as overblown if commands are handled responsibly. The video is aimed at intermediate users who already have basic knowledge of AI tools and want to deepen their expertise.

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

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

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

  2. **Kanban Board**: An integrated Kanban board that automatically assigns tasks to Hermes agents and allows them to complete them autonomously. Users can add their daily tasks to the board and Hermes Agent takes over those that can be automated.

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

  4. **Memory Wiki**: A personal wiki page that documents all conversations and tasks with Hermes Agent. This serves as a memory aid and allows users to reference past projects and conversations.

  5. **General Computer Administrator**: By using Tailcale, multiple devices can be integrated into a private network. Hermes Agent can then execute tasks across different devices, such as transferring files between machines or installing local LLM models on various computers.

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

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

  The video explicitly focuses on Hermes Agent and is suited for intermediate users.

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

  The video introduces eight major updates for Hermes Agent that significantly improve the tool’s functionality. The key updates include:

  1. **Session Recall**: Improved memory functionality that allows users to retrieve 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**: Use of 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 perform tasks like calendar management autonomously.
  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 and Cursor) with the Linear project management tool. Linear serves as a “second brain” by automatically organizing, prioritizing, and linking tasks (issues) to GitHub. This enables seamless collaboration across 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. He also shows how GitHub branches are created for each task to facilitate code review and organization. A bonus tip is the integration of Slack for team updates. The video is aimed at 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

  ### Video Summary

  The video is a live-stream session where the host discusses various aspects of selling Software-as-a-Service (SaaS) while simultaneously testing Grock Build, a tool from XAI. The stream begins with a casual introduction encouraging viewers to participate and chat. The host discusses the importance of Twitter (X) for software sales and the need to build a community.

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

  A large portion of the video is dedicated to demonstrating and testing Grock Build, a new tool from XAI. The host conducts 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 criticism regarding the tool’s user-friendliness and costs.

  The host also discusses his personal experiences with various AI tools and shares his opinions 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 host announces plans to 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, AI investments, and his workflows.

  ### Conclusion

  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 intended for intermediate and advanced users interested in developing and selling SaaS products and in the latest developments in the AI industry.

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

  The video demonstrates 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 boost productivity, track changes, and organize development. The workflow includes creating tasks and projects in Linear, linking them to 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 specifically covers 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 with the Hermes agent. The creator demonstrates three use cases: a daily AI stock report for beginners, repurposing YouTube video content for intermediate users, and vibe-coding a to-do list app for advanced users. The focus is on the benefits of local models, such as cost-effectiveness (aside from electricity), privacy, customizability, and educational value.

  Conclusion: 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 focused on 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 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 interacting with the live chat, where Alex answers questions, makes comments, and engages with viewers.

  4. **Hermes Agent Use Cases**: Toward the end of the video, Alex begins discussing some 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.

  **Conclusion**: The video explicitly covers open-source AI models and tools like Hermes Agent and OpenClaw. It is intended for 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 and recommends Hermes for its reliability, self-improvement, and user-friendliness. The author describes Hermes’s advantages, including regular, thematic updates, self-improvement capabilities through usage, and strong emphasis on experimentation and local models. Installing Hermes is described as straightforward, with options for different models and communication services, with Telegram and Opus recommended. The author demonstrates three use cases: one for beginners that discovers new AI tools daily, one for intermediate users that performs daily proactive check-ins, and one for advanced users that creates AI-generated videos. Finally, the author emphasizes the importance of brain-dumping and reverse-prompting to use the AI agent personally and effectively.

  The video explicitly focuses on the AI tools Hermes Agent and OpenClaw and is suited for intermediate and advanced users.

• Claude Opus 4.8 actually blew my mind…
  28.5.2026, 18:41:13

  The video presents the updates to Claude Opus 4.8, which according to the speaker represents a significant advancement over other AI models like GPT-5.5. Opus 4.8 outperforms all benchmarks, reduces hallucinations by four times, and is priced the same as the previous version. The new “Dynamic Workflows” and “Ultra Code Mode” features are highlighted, allowing users to handle complex tasks through thousands of sub-agents more efficiently. The speaker recommends using Opus 4.8 for all tasks but advises against immediate adoption in Hermes and Open Claw until official updates are available. He also emphasizes the importance of focus and concentration to fully leverage the benefits of the new technology. The video concludes with a demo in which Opus 4.8 creates a 3D ego-shooter, which is rated as a significant improvement over earlier versions.

  The video explicitly covers Claude Opus 4.8 and is suited for intermediate to advanced users.

AI Foundations (3 new videos)

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

  The video demonstrates the integration of Higgsfield with Claude, an AI tool that previously handled text and code and now enables image and video generation. The creator walks through step-by-step how to connect Higgsfield with Claude, first via MCP (Multiple Connector Protocol) and then via CLI (Command Line Interface) for advanced usage. Higgsfield provides access to a wide range of image and video models like Nanobanana 2, Cream 5.0, and Cance 2.0. The creator 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 build an automated marketing setup that generates YouTube video thumbnails. Using Claude Code, he creates a system that searches YouTube for successful thumbnails, analyzes them, and then generates new ones with Higgsfield. The creator emphasizes that this automation saves him hours per week and eliminates the need to manually create thumbnails in Photoshop. At the end, he shows an example of a generated thumbnail and explains how he’ll use this system in the future.

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

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

  The 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 allows the agent to integrate learned knowledge into future sessions. Skills are automations or mini-workflows that the agent creates and improves. Cron jobs enable task scheduling at specific times. The agent cycles through a loop where it sets goals, uses tools, delivers results, and improves through feedback.

  The creator 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, while 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 via different messaging platforms like Telegram.

  At the end, the creator 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

  The video provides a comprehensive introduction to Claude Cowork, an advanced feature of Claude AI 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 interface and explains various tabs such as Projects, Scheduled Tasks, Live Artifacts, Dispatch, and Settings. A central focus is on how interaction with Claude Cowork differs from Chat mode. Cowork is designed to complete tasks, while Chat mode is better suited for brainstorming and strategy development.

  A practical example demonstrates creating a folder on the desktop and having 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 processed 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 built, containing various information and learning tools.

  The video also demonstrates how to connect tools like Gmail with Claude Cowork to automate tasks such as categorizing invoices. This integration enables reading and writing data from various applications, significantly improving efficiency in email and task processing.

  Additionally, Claude Skills are introduced, described as automations that execute specific tasks consistently the same way. An example is a daily briefing automation that summarizes emails and calendar entries, giving the user an overview of their day.

  Projects in Claude Cowork are described as containers that hold specific instructions and files to complete particular tasks. An example shows how a project for creating SEO-optimized blog posts based on YouTube transcripts is built.

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

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

n8n (9 new videos)

• n8n Community Livestream: Women+ in Automation & Community Challenge
  29.5.2026, 04:31:37

  This video is a demo of Cursor, an AI-powered code editor platform. It shows how to create a simple web server in Python using Cursor. The process includes creating a new project, writing code with AI suggestions, and testing the server. The video demonstrates how Cursor can enhance developer productivity through intelligent code completion and error fixing.

  The video is better suited for intermediate or advanced users, as it assumes the viewer has basic knowledge of Python and web development.

• How a 1,000-Person Company Actually Uses n8n
  26.5.2026, 17:32:51

  The video shows how Zahar Romani, Director of Internal AI at Fullscript, managed to create over 1,500 workflows in less than a year and deploy over 100 of them in production. She emphasizes the importance of democratizing AI tools by giving every employee access and lowering barriers for non-technical teams through workshops, templates, and global credentials. Key steps include conducting an AI hackathon, creating templates for common tasks like project summaries and Slack updates, and providing global credentials for seamless integration. Romani highlights the cultural shift from “AI-first” to “people-first, AI-powered” to foster adoption and usage of AI tools. She shares examples of successful workflows in sales, finance, and legal that have delivered significant time savings and efficiency gains. Success hinges on continuous learning, support from an engineering team, and fostering a culture of innovation and learning.

  The video addresses specific tools like n8n and emphasizes the importance of internal champions and a supportive culture for successful AI and automation implementation. It’s intended for intermediate and advanced users who already have foundational knowledge of AI and automation and want to scale these in their organizations.

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

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

  Some key points from the interview include:

  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 built successful applications with Lovable, such as an app helping women verify 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. **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 raises concerns about security and responsible AI usage, particularly regarding access to sensitive data.

  The video explicitly covers AI tools and platforms like Lovable, Claude, and open-source tools. It’s intended for 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

  The video shows a live demo and step-by-step guide to 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 Microsoft Copilot license, Teams license, Agent 365 license, and global admin role in the Microsoft tenant.
  – **Microsoft-Side Setup**: Installing and using 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.
  – **n8n-Side Setup**: Integrating 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 Usage**: The agent blueprint is published in Microsoft 365, and users can create agent instances via the Microsoft Agent Store. The demo shows how a sales team uses an agent to gather data for a quarterly business review.

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

  4. **Advanced Use Cases**: The demo shows how the agent can integrate with tools like PagerDuty to retrieve incidents and transfer them to an Excel spreadsheet, which 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 to further improve the platform, particularly regarding simplifying the setup process and expanding use cases.

  The video explicitly covers Microsoft Agent 365 and n8n, and is intended for intermediate to advanced users with experience in 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

  The video demonstrates two new tools introduced by Marcel: the official n8n MCP (Model Context Protocol) and n8n Desk, an open-source desktop application that works similarly to Claude Desktop but with key differences. The n8n MCP enables AI agents not only to execute n8n workflows but also to create and edit them. This is a major advancement, as previously only workflow execution was possible. Marcel demonstrates creating a support ticket agent that communicates via Slack. n8n Desk, on the other hand, doesn’t run code locally on the computer but uses n8n instances in the cloud, making it 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 effectively using AI agents and shows how n8n Desk integrates these aspects. The video concludes with an announcement that n8n Desk will be available as an open-source project, with the option to be notified via a waitlist.

  The video explicitly covers n8n, Claude, and open-source tools, and is intended for intermediate and advanced users.

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

  The video is an interview with Sindhuja, a product manager in n8n’s AI team. She shares her career path, which took her from engineering through founding an EdTech company to joining n8n. At n8n, she initially improved user adoption and retention before moving to the AI team to advance using AI to simplify workflows. She discusses developing an instance-level MCP that allows users to access n8n from various platforms and emphasizes the importance of community feedback. She also 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.

  The video explicitly covers n8n and is intended for intermediate or advanced users.

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

  The video shows a livestream session with various updates and presentations around the n8n platform, a workflow automation tool. Here are the key points:

  1. **Product Updates from Nick and David**:
  – **MCP (Model Context Protocol)**: A tool for creating n8n workflows currently in beta and continuously improving. It enables integration of coding agents and other tools.
  – **Agents as First-Class Citizens**: Agents are treated as standalone entities alongside workflows with enhanced features like 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 like browser, file system, and multimodality and should make proactive suggestions.
  – **n8n Connect**: A feature enabling direct consumption of AI tokens within n8n and facilitating access to services like web search, web scraping, and OCR.

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

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

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

  The video explicitly covers n8n and its various features and tools, particularly MCP, agents, AI Assistant, and n8n Connect. It’s intended for intermediate and advanced users with existing workflow automation experience who want to deepen their knowledge.

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

  The video shows how to use n8n’s new MCP interface (Model Context Protocol) to create and edit workflows with AI models like Claude. The MCP interface enables creating workflows directly in n8n without manually copying and pasting JSON code. The process involves connecting n8n with Claude via the MCP interface, configuring access permissions, 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 an outlook on future applications.

  The video explicitly covers n8n, Claude, Claude Code, and Open Code and is intended for intermediate users.

• Claude’s Workflows Actually Work Now | MCP Live Build
  28.5.2026, 17:12:27

  The video shows the process of “vibe coding” with n8n to create a Slack-based workflow review system. The creator uses Claude Desktop in combination with the n8n MCP and n8n Skills to develop a system that reviews and evaluates workflows in n8n. The focus is on planning and implementing the system, with the creator emphasizing the importance of clearly defining the desired output before starting development.

  The creator walks through setting up Claude Desktop, including installing plugins and configuring credentials for Slack and n8n. A Slack app manifest is created and the app is installed in the Slack organization. The creator also explains the differences between n8n, MCP, and Skills and how they work together to create a robust system.

  During the video, the creator encounters challenges such as correctly integrating Skills and fixing errors in workflow logic. By collaborating with Claude, these issues are resolved and the system is eventually tested successfully. The creator emphasizes the importance of error handling and documentation to ensure the system works reliably.

  At the end of the video, the system is tested successfully and the creator shares experiences and tips for working with n8n and AI. He encourages viewers to try the official version of the MCP and Skills to leverage the benefits of these technologies.

  The video explicitly covers Claude and n8n and is suitable for intermediate to advanced users.

Greg Baugues

No new videos in this period.

TheAIGRID (10 new videos)

• How To Use Google Omni – Google Omni Tutorial
  27.5.2026, 14:30:25

  The video demonstrates how Google Omni works, a multimodal tool for creating and editing videos from text, image, video, and audio inputs. The focus is on using Google Flow for more professional applications, with Omni Flash highlighted as an improved model over V3.1. It explains how Omni divides videos into multiple scenes and how users can control these scenes through precise instructions. The importance of physical realism in generated videos is emphasized, as well as the ability to edit videos by changing terrain, background, and time of day. The video also showcases advanced features like adding text or logos to objects, creating explainer videos, and combining different inputs for varied results. It points out limitations in depicting real or copyrighted characters and introduces secret features like converting sketches into realistic videos and using storyboards to control scene sequences.

  The video explicitly covers Google Omni, Gemini, and Google Flow and is intended for intermediate to advanced users.

• 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 Google’s latest AI features and products, primarily based on the Gemini ecosystem. Here are the key points:

  1. **Gemini Omni**: A new model that can process 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 and is particularly suited 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, like an operating system, through collaboration of 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 appointments, and even handle complex projects like planning a block party. Spark is capable of interacting with various tools and syncing tasks across multiple devices.

  5. **Docs Live**: A new feature that allows users to create and edit documents with their voice. This facilitates quick capture of ideas and information without manual typing.

  6. **Redesigned Gemini App**: The Gemini app has been completely redesigned, now offering a more intuitive user interface with enhanced content creation and editing features. New features include Gemini Omni integration 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 image editing app that allows users to precisely edit and create images. It offers features like removing or altering objects in images and translating text.

  8. **Stitch**: A design tool that enables 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 now featuring new capabilities like simultaneous execution of multiple commands and creation of custom tools. Google Flow Music enables music creation through voice commands.

  The video explicitly covers Google proprietary 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 suited for intermediate users already familiar with AI tools who want to expand their application possibilities.

• 10 Best AI Tools For Small 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 business owners and beginners without technical background. Here are the key points:

  1. **ChatGPT**: A versatile tool for tasks like email composition, 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 handle local files and applications. It can manage 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 wanting to create professional presentations and websites without design expertise.

  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 wanting to strengthen their brand identity.

  7. **Flow by Google**: An image generation tool particularly useful for businesses that regularly 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 wanting to maintain consistent brand identity.

  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 websites 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 wanting to automate complex tasks. The price is $200 per month.

  12. **Lovable**: A tool for creating websites with AI support. It is particularly useful for businesses wanting to quickly and easily create a website without design expertise.

  The video is suited for small business owners and beginners without technical background. 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 Meta AI’s features and tips for using it. It begins by explaining three chat modes: “Instant” for quick, casual questions, “Thinking” for more complex problems requiring deeper analysis, and the secret “Contemplating” function that employs up to 16 independent agents for parallel analysis. This feature is particularly useful for research, strategy development, and difficult decisions. Next, Meta AI’s search function is demonstrated, which draws 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, currently based on Midjourney, as well as the social platform Meta Vibes, where users can share and remix AI-generated content.

  The video explicitly covers Meta AI and is intended 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 that was accidentally made available 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 showing impressive quality comparable to current top models like Sora 2. The videos demonstrate complex scenes, such as a professor explaining mathematical proofs on a blackboard, and a detailed restaurant scene with two people. However, using the model is very resource-intensive, with two generations already consuming 86% of a Pro subscription’s monthly allowance ($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 potential Omni introduction 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 an evolution of VO4, with the potential to significantly change the AI video landscape.

  The video explicitly covers Google’s Gemini Omni and compares it to 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, it explains the installation of the add-in, 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 like “work across files” are highlighted, allowing context sharing between different Office files.

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

  Another focus is the function to mark and analyze specific document sections, for example, to highlight security aspects or important points. Furthermore, integration of web research directly in Word is shown, with the note 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 are incorporated into a letter to shareholders.

  Finally, the use of templates in Word is shown, for example, for resumes, with the note that Claude sometimes has difficulty with complex formatting. It is recommended to use the “Undo” function if problems occur or repeat the task with a higher-level model.

  The video explicitly covers Claude and is intended 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 finds that Anthropic has gained significant market share in recent months, both among private users and in the enterprise sector. Anthropic is experiencing unprecedented revenue growth and has surpassed 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 rejection of certain government requests is portrayed as a positive PR moment that strengthened trust in the company. Investors are increasingly skeptical of OpenAI, while Anthropic reports high demand in the secondary market. The video concludes with the observation that user preferences have clearly shifted toward Anthropic, and questions whether OpenAI can still catch up.

  The video explicitly covers Anthropic, OpenAI, Gemini, and specific models like Claude Opus and Mythos. It is intended for intermediate and advanced users interested in learning about 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 integrated directly into Microsoft PowerPoint. It enables 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 (from $20/month) or a Max Team/Enterprise subscription as well as a current version of Microsoft PowerPoint (desktop or web). After installation through PowerPoint’s add-in function, you can choose between two models: Opus 4.6 for complex tasks and Sonnet 4.6 for quick edits. The settings allow specification of standards like fonts, colors, and notes for each slide. Important is the option to confirm changes beforehand to prevent unwanted edits.

  Claude automatically reads template layouts, fonts, and color schemes and generates slides following the template’s visual structure. A key tip is loading 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, potential 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 explicitly covers the AI tool “Claude for PowerPoint” by Anthropic and is suited for intermediate users already familiar with PowerPoint who want to leverage AI tool functionalities.

• 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 see AGI as both humanity’s greatest opportunity and a potential end to civilization. A central problem is the alignment problem: how can we ensure that a superintelligent AI understands and follows human values and unspoken assumptions? So far, there is no solution. Additionally, there is 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, hard-to-control intelligence leap. Finally, the danger is emphasized that AGI could be weaponized, leading to autonomous cyber attacks, biotechnological threats, and massive disinformation. Current developments occur without international regulation and controls, further increasing risks.

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

• Googles New Statement On AGI Just Stunned Everyone
  28.5.2026, 08:45:18

  The video discusses the current debate on Artificial General Intelligence (AGI) and centers on the perspective of Demis Hassabis, CEO of Google DeepMind. Hassabis argues that today’s AI systems, despite impressive advances like solving complex mathematical problems, are still far from true AGI. AGI requires not only the ability to handle specific tasks but also broad cognitive capabilities such as creativity, reliability, and a deep understanding of the world.

  The discourse is enriched by various perspectives, including those of Gary Marcus, who points out the unpredictability and unreliability of current AI systems, and Marc Andreessen, who claims that AGI has already arrived since systems exceed human experts in many areas. Helen Toner emphasizes the fuzziness of the AGI term and proposes focusing on specific capabilities that are present and which are still lacking.

  The video highlights that while current AI systems are powerful enough to transform industries, they still lack the reliability and generality required for true AGI. It stresses that the AGI debate is not merely academic but has practical implications for AI implementation, regulation, and evaluation.

  Final Comment: The video covers various AI models and providers, particularly Google DeepMind and OpenAI, and is aimed at an advanced audience engaging with the nuances and challenges of AI development.

Theo – t3․gg (10 new videos)

• How I code with AI changed a lot
  27.5.2026, 10:36:21

  The video shows a detailed overhaul of the author’s workflow for building with AI tools, particularly compared to his earlier approach. Here are the key points:

  1. **Workflow Changes**:
  – The author has completely overhauled his workflow after realizing that many of his earlier recommendations are no longer current.
  – He now primarily uses GPT-5.5 and has significantly reduced his use of Claude models.

  2. **Tools and Models**:
  – **GPT-5.5**: The author prefers this model due to its performance and generous usage limits on the $200/month plan.
  – **Codex App and T3 Code**: He uses these tools for development, considering T3 Code more stable and reliable, especially for remote work.
  – **Remote Coding**: The author emphasizes the benefits of remote coding, particularly the ability to work from different devices without interrupting work.
  – **Diverse Harnesses**: He experiments with various harnesses like the Codex harness and Cursor harness, but prefers the Codex harness for its simplicity and efficiency.

  3. **Prompt Design and Context Management**:
  – The author places great emphasis on prompt quality and context management. He provides the model with clear instructions and uses screenshots to give feedback.
  – He avoids complex prompts and prefers simple, clear instructions that the model can easily understand.
  – He uses HTML plans to better control the models and visualize results.

  4. **PR Workflow and Code Review**:
  – The author uses PRs (Pull Requests) as artifacts for reviews and integrates tools like Code Rabbit and Macroscope for automated code reviews.
  – He emphasizes the importance of not leaving PRs open too long to avoid conflicts and outdated changes.

  5. **Simple Workflow**:
  – The author aims to keep his workflow as simple as possible to boost productivity. He avoids excessive complexity and focuses on efficient communication with AI models.

  **Final Comment**: The video explicitly addresses OpenAI (GPT-5.5), Codex, T3 Code, and various harnesses. It is intended more for intermediate to advanced users who already have experience with AI tools and want to optimize their workflow.

• Claude Code vs Codex vs Cursor (an honest comparison)
  26.5.2026, 08:39:38

  The video offers a philosophical comparison of the AI code tools Claude Code, Codex, and Cursor, without focusing on technical capabilities or specific tasks. The focus is on the fundamental differences in the approach and goals of these tools.

  **Claude Code** is described as a tool designed to meet developers in their familiar environment, the terminal. It is designed to start quickly and easily without needing to change other tools. Claude Code has focused heavily on using AI in the terminal environment and offers features like automatic git commits and pushes. A key characteristic is the emphasis on productivity and the “feeling” of productivity, achieved through visual effects and an appealing user interface. Anthropic, the company behind Claude Code, also uses the tool as a marketing instrument to demonstrate the strengths of their models. However, there are differences between internal use at Anthropic and the external version, which can lead to some inconsistencies.

  **Codex** is presented as a tool designed to solve practical problems and increase actual productivity without focusing on visual effects or marketing aspects. It is developed by OpenAI and designed to work in a stable and reliable environment. Codex places value on token efficiency and attempts to improve the models so they consume fewer tokens without compromising accuracy. The user interface is simple and functional, and the tool is intensively used by OpenAI employees themselves, resulting in higher quality and stability.

  **Cursor** is described as a tool that focuses on using cloud agents capable of starting and testing complete graphical Linux instances. Cursor offers a unique opportunity to integrate agents in Slack or other tools, thereby increasing collaboration and efficiency. Cursor also has a strong internal testing culture, where new features are thoroughly tested before being released to users.

  At the end of the video, it is emphasized that choosing the right tool depends on individual needs and workflows. Claude Code works well for developers who need motivation or feel uncertain, while Codex is suitable for experienced developers seeking a reliable and efficient tool. Cursor is ideal for teams looking for a comprehensive solution for using AI in the cloud.

  The video explicitly addresses the AI tools Claude Code (Anthropic), Codex (OpenAI), and Cursor and is more suitable for intermediate and advanced users.

• 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 coding tasks and is described as highly effective and fast. The speaker emphasizes that Codium, despite limited external benchmarks, shows impressive results and challenges the strengths of major AI labs. The pricing structure of AI models is also explained, where input and output tokens as well as token usage efficiency play 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 partnership with SpaceX AI, which provides them access to significant computing resources and data. The challenges 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 explicitly addresses Codium’s Composer 2.5, OpenAI, Anthropic, and specific tools like Blacksmith. It is more suitable for intermediate to advanced users.

• This is bad…
  21.5.2026, 09:10:17

  The video covers 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 outages and poor 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. GitHub has taken steps to contain the incident, but the speaker is skeptical whether these measures will suffice.

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

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

  The video explicitly addresses GitHub, Microsoft, VS Code, npm, and specific tools like Socket and Aikido. It is more suitable for intermediate and advanced users familiar with software security and the technical details of GitHub and npm.

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

  The YouTuber expresses strong criticism of Google, particularly regarding recent 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 risk 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 criticisms 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 perform tasks correctly, such as rewriting a simple game, which works fine with other models like GPT-55.
  2. **Anti-Gravity CLI**: The successor to the open Gemini CLI is, according to the YouTuber, highly buggy and user-unfriendly. Furthermore, Google discontinued support for the open 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 dollars monthly, without providing reasons, causing massive outages. The YouTuber mentions similar incidents in the past that demonstrate Google Cloud’s unreliability.

  The YouTuber emphasizes that despite its resources and talent, Google no longer produces 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, buggy product.

  The YouTuber explicitly addresses Google’s Gemini 3.5 Flash, Anti-Gravity CLI, and Google Cloud. The video is more suitable for intermediate to advanced users 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, which shifted 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 generate significant inference costs. He shows how he drives up costs for Microsoft through targeted use of Copilot with complex cryptography puzzles and agentic workflows. The author argues that switching the billing model was necessary because the old system was no longer sustainable and Microsoft didn’t have enough computing power to meet demand. He emphasizes that this is not a “rug pull” but a necessary adjustment to continue operating the program.

  Final Comment: The video explicitly addresses GitHub Copilot, Claude Code, Codex, Cursor, OpenAI, and Anthropic. It is more suitable for intermediate and advanced users.

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

  The video discusses a series of serious security vulnerabilities and exploits in various software and operating systems, particularly Linux. Multiple 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 is alarming and that traditional security practices, such as the 90-day disclosure period, are no longer sufficient. He argues that using AI has accelerated and simplified the discovery and exploitation of security vulnerabilities, ushering in a new era of software security.

  The speaker suggests that the industry must make drastic changes to cope with these new challenges. These include establishing a new tier of trusted actors who are informed early about security vulnerabilities, as well as a fundamental shift in open source culture to control and delay code disclosure. He also emphasizes the need to design 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 is taking to protect himself from these threats, such as regularly creating backups and educating his family about security risks. He concludes with hope that his warnings will be 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 covers Anthropic’s announcement that as of June 15, paid Claude plans will receive dedicated monthly credits for programmatic use. These credits cover 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 usage in third-party tools like T3 Code, OpenClaude, and others, and reduces usage limits by 25 to 40 times. He criticizes Anthropic for providing no clear communication despite months of requests and now presenting a solution that seems more like a restriction than an improvement. The speaker emphasizes that this is an attack on open source projects and that Anthropic is severely restricting open and programmatic use. He announces that T3 Code will introduce an option to choose between the enhanced user interface and the original but limited use. He advises viewers to use alternative solutions like Codex and expresses 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 often too limiting and should be replaced with HTML, which enables richer and more interactive content. He references articles by Thoric and Andrej Karpathy, who hold 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 explore further.

  The video explicitly addresses Claude Code, Anthropic, OpenAI, and specific tools like Copilot Kit. It is more suitable for intermediate to advanced users dealing with AI agents and their output formats.

• Holy sh*t I think Anthropic is profitable now
  28.5.2026, 11:21:33

  The video discusses the financial situation of AI companies, particularly Anthropic’s sudden profitability, and analyzes the reasons behind it. Anthropic has generated significant revenue through a combination of strategic partnerships with cloud providers like AWS, Google Cloud, and Azure, as well as the introduction of powerful models like Claude 2 and Opus 45. The availability of Anthropic models on multiple cloud platforms, in contrast to OpenAI models which primarily run on Azure, has given them a significant market advantage. Additionally, Anthropic has increased revenue per customer through price adjustments and increased token usage. Anthropic’s sudden profitability is also attributed to limited availability of computing power and the strategic decision to invest less in future compute capacity than OpenAI. The video argues that Anthropic achieved a decisive breakthrough through the introduction of Opus 45, which revolutionized expectations and the use of AI models in enterprises. Despite current profitability, the question remains whether this is sustainable, particularly regarding high operating costs and dependence on limited computing resources.

  The video explicitly addresses Anthropic, OpenAI, AWS, Google Cloud, Azure, Claude, Opus, and is more suitable for intermediate or advanced users.

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 applications 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 form of artificial intelligence (AI) for your business that functions 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, learning-capable assistants that update themselves overnight and manage their own memories. Le Mley compares this to human cognitive architecture and stresses how this technology can help businesses work more efficiently and solve problems. He also mentions OpenAI and its competing products, while highlighting the advantages of Claude Code Managed Agents. The speaker encourages viewers to engage with this technology and explore its possibilities, particularly regarding the creation of products or services for customers.

  The video explicitly covers Claude Code Managed Agents and OpenAI and is intended more for intermediate and advanced users.

Productive Dude (1 new video)

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

  The video shows how to automate your business with Claude at three different levels: from simple use of 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 setting up 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: Workflows with Skills and Connectors**
  – Skills are stored in a GitHub repository and used in workflows triggered on a schedule or by triggers.
  – Example: A workflow 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 implementing these levels step by step, from creating a simple skill to integrating it into a custom platform.

  Final note: The video explicitly features 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 businesses make more calls per unit of time and increase the number of successful connections. This is particularly useful in industries heavily reliant on phone outreach, such as HVAC, plumbing, and roofing.

  The speaker explains how they worked with Claude Code to find various solutions for improving call connection rates. They started by defining the problem and asked Claude Code to enumerate all possible solutions. They then filtered out 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 core capabilities of the model and minimizing complexity.

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

  The video explicitly features Claude Code and is better 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 utilizing an open-source alternative called “Free Claude Code.” This alternative enables the use of the same Claude Code interface but with more affordable 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 are presented, such as Open Router, NVIDIA NIM, and Ollama, which can serve 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 such as DeepSeek V4 Flash, GLM 4.7, and Gemma 4 are covered.

Leon van Zyl (10 new videos)

• Claude Code Advanced Workflow – Build & Ship Real Apps
  26.5.2026, 12:25:38

  The video demonstrates a detailed workflow for using Claude Code to develop web applications. The author, a software engineer with nearly 20 years of experience, explains how to efficiently set up projects, create design systems, and implement complex applications in a structured manner.

  1. **Project Setup**: The author recommends creating a reusable agent skill that contains the entire technology stack description. This skill can then be integrated into new projects to automate project setup. This saves time and ensures that all necessary dependencies and configurations are correctly configured.

  2. **Design System**: The author emphasizes the importance of a clear design system. He shows how to use Claude Code to create and implement a design system that ensures all components and pages of the application are consistently designed. He mentions tools like Google Stitch and Claude Design that can help with this.

  3. **Structured Implementation**: The author explains how to create a detailed implementation plan that is divided into phases and tasks. This enables parallel implementation of various application components, accelerating the development process.

  4. **Testing and Monitoring**: The author shows how to conduct security audits and UI tests in parallel with implementation. He uses the loop function of Claude Code to regularly perform security audits and UI improvements.

  5. **Excalidraw Diagrams**: The author demonstrates how to use Excalidraw diagrams to visualize the application architecture. This helps with overview and understanding of the various components and their interactions.

  At the end of the video, the developed application is tested and successfully scrapes, summarizes, and stores articles. The author emphasizes the efficiency and structure of his workflow and encourages viewers to apply similar techniques to their own projects.

  **Closing Comment**: The video explicitly focuses on Claude Code and is aimed more at intermediate to advanced users.

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

  The video demonstrates how to build an agent-capable app from the ground up 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 the help of 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 retrieve prompts. Finally, 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 geared more toward intermediate users.

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

  In this video, Leon shows 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 such as “next best practices” and “front end design”. Leon uses Claude Code to create 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 changes are made to the code.

  The video explicitly focuses on Claude Code and Next.js and is geared more toward intermediate users who already have basic knowledge of web development.

• 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 that affected over 100 packages with over 50 million weekly downloads. The attack exploited a vulnerability in the Tanstack release process by having an attacker create a pull request in a fork of the repository, which triggered the CI/CD workflow. By 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 deeply integrated into developer environments and even used a “dead man switch” that deleted the root directory of the infected system when detected.

  To defend against such attacks, the video recommends using PNPM1 or higher, which offers features like “minimum release age”, “block exotic subdependencies”, and “approved builds” to prevent installation of malicious packages. Additionally, Sentry is presented as a tool for debugging in production that works with an AI-powered agent called Seir to automatically investigate and fix issues.

  The video addresses 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 provides a step-by-step guide to building an AI image studio 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 with Docker and Postgres, and necessary tables for user authentication are migrated.

  The focus is on creating a user-friendly interface that allows users to upload reference images, write prompts, and generate images. The developer uses the capabilities of the Codex tool to design and test the user interface while adhering to a predefined design system. After designing the interface, the actual functionality is implemented using 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.

  Finally, the user interface is adjusted to ensure that image generation only occurs through the dashboard and not through the home page. The home page is redesigned with a generated image and marketing text. The video emphasizes the efficiency and time savings achieved through the use of Codex and OpenAI, while also pointing out the token limitations of the ChatGPT Plus plan.

  The video explicitly addresses OpenAI (GPT-5.5, GPT-4 image model) and Codex. It is geared more toward intermediate and advanced users as it covers advanced concepts such as Docker, Postgres, Next.js, and API integration.

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

  The video demonstrates how to use the Hermes Agent as a coding agent to create and deploy a web app 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 is capable of creating a personal portfolio page by scraping information from the creator’s YouTube channel and creating an appealing frontend design. The agent successfully creates the app, deploys it on Vercel, and provides a public URL that opens the app in a browser. The video also shows that the agent is capable of making changes to the app and deploying 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 addresses Hermes Agent, OpenAI Codex, GPT 5.5, Vercel, and Telegram. It is geared more toward intermediate and advanced 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 autonomous planning and implementation of software projects. The user describes what they want to build to the tool, and it plans the features, adds them to a Kanban board, and implements them automatically. The tool supports various models such as Alum Studio and Ollama and can also break down complex tasks into smaller features. The user demonstrates creating a simple to-do app and shows how new features can be added and implemented. The video emphasizes that this is now possible with free models, something that was not possible 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 the 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 emphasizes that while free models are good at writing code, they require 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 concludes with an invitation to sign up for a masterclass course that teaches building applications with coding agents.

  The video addresses open-source models such as Qwen 3.6 and JML4 as well as tools like Alum Studio, Llama Studio, and Local Forge. It is geared more toward intermediate and advanced users who already have experience using AI models and developing software.

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

  This video is a tutorial that demonstrates how to create a Next.js application using Open Code, an open-source AI tool. The process begins with installing and setting up Open Code, including connecting with various AI models and providers, both free and paid. The tutorial shows how to add agent skills such as frontend design and Next.js skills to improve the quality of generated code. It also demonstrates how to use memory files and design systems to increase the consistency and efficiency of the agent. 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. Finally, 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: Open Code (open-source), OpenAI, Anthropic, Gemini, OpenRouter, BigPikko, HY3, Minimax, Nvidia, Vercel, Cintra AI.

• I Built a Full App Using Only Cursor AI
  4.5.2026, 11:01:35

  In this video, an AI-powered YouTube summarizer is developed using the Cursor tool. The process begins by creating a user interface that takes a YouTube URL and provides a summary of the video. The requirements include a short summary (TLDR), five to eight key points, a “watch these moments” section with timestamps and descriptions, and the original video link.

  The creator uses Cursor and chooses the Composer 2 model to scaffold the project. Next.js and the Shad cn library are installed for the user interface. With the help of Cursor’s agents, a basic user interface is created that meets the requirements. Subsequently, functionality is added to retrieve the transcript of a YouTube video using the YouTube Transcript API.

  For AI-powered summarization, the AI SDK from Cursor is used to return structured data. The creator opts for the “anthropic/claude-2” model from OpenRouter and integrates the API key into an .env file. The agent then generates the summary, including the TLDR, key points, and recommended moments from the transcript.

  The video explicitly addresses the tools Cursor, Composer 2, Next.js, Shad cn, YouTube Transcript API, AI SDK, and OpenRouter. It is geared more toward intermediate and advanced users.

• Claude Code Is Too Expensive. Use This Instead
  28.5.2026, 13:00:03

  The video demonstrates how to use the open-weight model Minimax M2.7 with Claude Code to create a Reddit clone app. The author explains the setup, including configuring API keys and selecting the appropriate plan. Minimax M2.7 is presented as a cost-effective alternative to Claude Opus that offers similar performance and comparable quality. The process includes using Claude Code in various modes such as planning, editing, and agent view to develop and test the app. The author emphasizes the efficiency and speed of the model as well as the ability to use detailed prompts to optimize usage. Additionally, the unique training methodology of Minimax M2.7 is explained, in which the model was involved in its own further development.

  The video explicitly addresses the open-weight model Minimax M2.7 and is geared more toward intermediate users.

Tim Carambat (5 new videos)

• Why Is Local Image Generation So UGLY?
  26.5.2026, 22:28:33

  The video covers the challenges and experiences of Anything LLM founder Timothy Karenbat with local image generation models. He discusses his limited positive experiences with image generation models, particularly due to high memory requirements and modest results on local devices. Timothy mentions that he has primarily used cloud-based models like Gemini Nano, but stopped using them for his YouTube channel due to identity and quality concerns.

  He introduces a new model from Prism ML based on the Flux 2 Klein model, which enables significant reduction in model size and memory requirements through binary and ternary versions. Timothy tests the ternary version of the model and shows examples of generated images that, while created quickly, often deliver insufficient results, particularly with text and complex scenes. He compares the results with cloud-based models and finds that despite improvements, local models don’t reach the expected quality.

  Timothy concludes that while the new model is promising, it’s not yet good enough for deployment in Anything LLM, as results are often insufficient and users could be disappointed. He invites viewers to share their experiences and tips, as he feels uncertain about image generation models.

  The video explicitly covers Prism ML and Flux 2 Klein models as well as Gemini Nano usage and is geared toward intermediate and advanced users.

• 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 speaker, 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 usage 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. Creator Timothy Karen expresses skepticism due to missing technical reports and unclear benchmarks. He explains the underlying technology 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 MRCRV2, but it’s unclear whether these results apply to the 12-million-token model or a 1-million-token preview. Timothy Karen has 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 the narrative that AI can replace people and emphasizes 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 access from certain subscriptions and later reversed the decision. Additionally, there was a billing issue where users with certain character strings in their Git history were incorrectly charged additional fees. This led to negative user reactions, as Anthropic initially refused refunds but later offered a solution.

  Carbat argues that such issues suggest companies like Anthropic resort 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 circumvent such problems.

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

• I Need To Rant About Data Centers Real Quick
  28.5.2026, 19:38:51

  The video by Timothy Carenbat, founder of Anything LLM, discusses current developments and challenges related to building data centers in the USA, particularly in Louisiana. He begins with a critical look at relationships between hyperscalers like Coreweave, hardware suppliers like Nvidia, and major AI labs like OpenAI and Anthropic. Carenbat questions the transparency and feasibility of the announced capacities of these data centers, referencing an article by Ed Zitron that points to possible exaggerations.

  A central theme of the video is the concept of SPAN, a California startup proposing to install server racks on private properties to create new computing capacity. Carenbat expresses doubts about the feasibility and efficiency of this approach, particularly regarding power supply, internet infrastructure, and technical implementation.

  Another focus lies on planned data centers in Louisiana, including an Applied Digital project in Boyce and Meta’s Hyperion data center in Rayville. Carenbat analyzes the economic and social impacts of these projects, including tax breaks and effects on local populations. He criticizes the lack of transparency and high costs that are ultimately borne by taxpayers.

  Carenbat also expresses skepticism toward the idea of Artificial General Intelligence (AGI) and emphasizes that AI is a tool that can already be useful today without constantly developing new models. He advocates for using local AI models that run on users’ devices as an economically and practically sensible alternative to large data centers.

  The video explicitly covers OpenAI, Anthropic, Nvidia, and Meta and is geared toward intermediate and advanced viewers.

WorldofAI (10 new videos)

• Gemini 3.5 Pro X-High, MiniMax M3, DeepSwe, New Claude Models, MiMO-v2.5 Upgrade, & More! AI NEWS
  27.5.2026, 07:13:35

  The video provides an overview of recent developments and leaks in the field of AI models and tools. Google reportedly plans an update for the Gemini 3.5 series, including a new “X high thinking” variant that should offer improved reasoning capabilities. Additionally, a new Gemini Live model with potential voice-cloning features is expected. Miniax announces the M3 model with a new sparse-attention architecture that could enable up to 10-fold faster context processing and 15-fold faster decoding speeds. Anthropic is preparing four new Claude Lab products or features, indicating an expansion of the Claude ecosystem, including collaborative workspaces and persistent agent environments. Xiaomi has drastically reduced prices for the Mimo 2.5 model, leading to more aggressive competition in the AI industry. New benchmarks like Deep Sway and Quen 3.7 Max demonstrate progress in handling complex software engineering tasks. Additionally, new tools were introduced such as a security-guidance plugin for Claude Code and an open-source agent skill called React Doctor. Figure AI has announced a commercial agreement with Catalyst Brands for the deployment of humanoid robots in logistics and warehouse management.

  The video explicitly covers Google (Gemini), Miniax (M3), Anthropic (Claude), Xiaomi (Mimo), OpenAI (GPT-5.5), and specific tools like Claude Code, React Doctor, and Figure AI. It is geared more toward intermediate and advanced users interested in technical details and market developments in the AI field.

• OpenHuman Is The Hermes Agent Killer?
  26.5.2026, 07:16:17

  **Summary:**

  The video introduces Open Human, a partially open-source desktop agent under the GPL3 license, positioned as a private, local assistant. Open Human aims to bridge the gap between the technical capabilities of AI models and what they know about the user. It offers a local, structured markdown-based storage system stored in SQLite, as well as an Obsidian-like wiki system that users can read and edit. The agent integrates with various tools such as Gmail, Slack, and GitHub, and synchronizes data automatically in the background. Open Human is user-friendly and offers 118+ integrations, model routing, token compression, and even the ability to join and transcribe Google Meet meetings.

  The setup process is simple and can be done via native packages or a simple installer. After installation, the user can configure their AI model, speech system, and OAuth connections. The agent continuously learns from user data and stores it locally, increasing privacy. However, it is recommended to use local models to ensure proprietary data is not sent to external models.

  The video also shows a demo in which Open Human performs a market research task and creates a comparison of various agents such as Hermes and OpenClaw. The created report is sent via email, demonstrating the agent’s automation capabilities.

  **Final Comment:**

  The video covers Open Human, a desktop agent suitable for intermediate users.

• Hermes Agent + DeepSeek V4 (FREE) = GOD TIER
  25.5.2026, 07:02:02

  The video presents the latest update to Hermes Agent, which now enables free use of the DeepSeek model Version 4 via the news portal. This combination offers near state-of-the-art performance in terms of reasoning, coding, long context windows, and autonomous agent functions—all for 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 phase. After installation, you can log into the news portal and select the free tier to access models like DeepSeek Version 4. Through simple commands in the command prompt, you can configure and use your desired model. The video demonstrates the use of DeepSeek Version 4 for various tasks, such as creating a research report and generating an HTML report.

  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. The video 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 provides a cost-effective and powerful solution for various use cases.

  The video explicitly covers Hermes Agent, DeepSeek Version 4, and the news portal, geared 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 recent 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 deployment in various Claude apps such as Claude Code and the SDK. Some users have already spotted traces of the model in the app. Anthropic may release a distilled version of Mythos within the coming months.

  2. **Anthropic’s Sonnet and Opus**: The new models Sonnet 4.8 and Opus 4.8 were discovered on Google Vertex AI, suggesting an upcoming release. Sonnet 4.8 is expected to bring significant improvements in visual understanding and coding performance, but may also have higher token consumption.

  3. **OpenAI’s GPT-5.6**: OpenAI is preparing to release GPT-5.6, which already shows strong multi-step reasoning and improved agent workflows in internal testing. 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 introducing 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 explicitly covers 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 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 presents Cursor’s new coding model **Composer 2.5**, which is up to 10 times more cost-effective than top models like Opus 4.7 and GPT 5.5, while delivering nearly comparable performance. Particularly noteworthy is the model’s high speed and efficiency, which performs well in benchmarks like Terminal Bench 2.0 and Swaybench Multilingual. Composer 2.5 excels in iteration speed and debugging, though it still lags slightly 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 failure to execute certain actions and lack of trade-off representation.

  The video shows various examples where Composer 2.5 handles tasks such as cloning Mac OS UI, creating landing pages, and generating SVG graphics. It becomes clear that the model works quickly and functionally, though it doesn’t quite match Opus 4.7’s quality. Nevertheless, Composer 2.5 is recommended as a worthwhile alternative to pricier models due to its affordable pricing and high speed.

  Final Comment: The video explicitly covers the AI model **Composer 2.5** from Cursor and is more 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 presents Alibaba’s new flagship model Qwen 3.7 Max, developed specifically for the agent era. The model stands out for 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 strongly across 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 to plan and execute long-term tasks, 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 via a free chat app or 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 explicitly covers the AI model Qwen 3.7 Max from Alibaba and is geared toward intermediate and advanced users.

• Antigravity 2.0 UPDATE: NEW Agentic AI Coding Agent + Gemini Desktop App!
  21.5.2026, 07:15:18

  **Summary:**

  Google unveiled several new AI updates at the Google Developer Conference, including the new Gemini 3.5 Flash model and the video model Omni. A central point was the introduction of Antigravity 2.0, which is now split into multiple separate apps: a standalone IDE (similar to VS Code) and an agent chat interface app for autonomous workflows. The split could 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 the less intuitive split.

  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 like `/goal`, `/drillme`, and `/browser`. There’s also live speech 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 seems to be unifying the entire AI infrastructure under the Antigravity brand, which, however, causes confusion since the split into separate apps is less intuitive. The new Antigravity CLI enables the use of agents directly from the terminal.

  **Final Comment:**
  The video covers Google’s Antigravity 2.0, Gemini 3.5 Flash, Omni, as well as Anthropic’s Co-work and Codex, geared toward intermediate to advanced users.

• 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 unveiled at the Google IO developer conference. The author has mixed feelings about it, as while it is technically impressive, it also has some disadvantages. The model is faster and stronger 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 author tests the model in various areas such as frontend design, SVG generation, and 3D world creation and finds that 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 author considers the model a solid release from Google, especially for users of Google subscriptions. The video is geared more toward intermediate and advanced users and explicitly covers the Google Gemini 3.5 Flash model.

• Claude Opus 4.8: Best AI Model Ever? Powerful, Agentic, and Faster! (Fully Tested)
  29.5.2026, 05:44:41

  The video discusses the latest version of Anthropic’s Claude Opus 4.8, positioned as an incremental improvement over Opus 4.7. Key improvements include sharper judgment, better honesty in task completion, and improved performance in long-term, agentic workflows. Particularly noteworthy is the significant improvement in Swaybench Pro, where Opus 4.8 increased from 64% to 69%. In other benchmarks such as Agentic Terminal Coding and OS World, OpenAI’s GPT 5.5 continues to lead. Opus 4.8 also demonstrates strong performance in areas like Agentic Financial Analysis, GPQA, and HLE. A new feature is “Effort Control,” which allows users to adjust the effort for task completion, improving control over latency, costs, and token usage. The video also shows practical examples, such as creating a functioning Mac OS clone and a Minecraft clone, which are impressive but also very time and token intensive. Overall, Opus 4.8 is rated as solid but not revolutionary, with a focus on high output quality, while GPT 5.5 is portrayed as superior in terms of productivity, speed, and efficiency.

  **AI Tools/Models/Providers:** Anthropic (Claude Opus 4.8, Claude Mythos), OpenAI (GPT 5.5), Gemini 3.5 Flash, Cursor
  **Target Audience:** Intermediate to Advanced

• Claude Mythos 1 Preview Leaked…
  28.5.2026, 07:08:23

  The video discusses the alleged capabilities of Anthropic’s not-yet-officially-released AI model Claude Mythos. The author shows leaked examples, including a pie-art generation of a Saturn spacecraft created with Python libraries, and a solution to the mathematical Erdos Problem 90, tested by a Harvard mathematician. Mythos appears capable of handling complex tasks and even developing elegant solution approaches. The author speculates that Mythos may be released within the next three months, as Anthropic has shifted its stance on releasing it. Additionally, the usefulness of Open Router for comparing different AI models is highlighted, particularly for frontend design tasks. The author shows a comparison between Claude Opus 4.7 and Gemini 3.5 Flash and emphasizes the benefits of Open Router’s SDK for integrating various models into applications.

  The video explicitly covers Claude Mythos, Claude Opus 4.7, Gemini 3.5 Flash, and Open Router and is geared toward intermediate and advanced users.

AI and Strategy | Le SamourAI (1 new video)

• 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 mentioning 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 as a result. The thesis is that thinking requires forgetting in order to recognize patterns and form abstract concepts.

  The AI industry faces the challenge that models from Mistral AI, OpenAI, and Google are increasingly developing similar capabilities. The decisive factor will no longer be raw computing power, but rather the architecture of memory. Companies like Microsoft, Google, Atlassian, and SAP are investing billions in the 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 is criticized that many of these systems fail within six months because maintenance is too cumbersome. A new approach by Carpati, which uses a wiki system maintained by an agent, could solve these problems.

  A distinction is made 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, on the other hand, 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. Errors in input can become embedded in the wiki and are difficult to correct. It emphasizes that the architecture of memory 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 take legal and confidentiality aspects into account. The video concludes by stating that control over one’s own memory and decision-making is crucial, and that users should establish and document their own rules to avoid becoming dependent on AI providers.

  The video addresses various AI models and providers such as Mistral AI, OpenAI, Google, Microsoft, Atlassian, and SAP. It is aimed at intermediate and advanced users who want to engage with the technical and strategic aspects of AI and memory systems.

Matt Pocock (9 new videos)

• 9 Things People Get Wrong With My /grill-* skills
  25.5.2026, 13:22:40

  This video covers the effective use of “Grill Me” skills and “Grill with Docs” skills, which serve as replacements for planning modes in agents. The creator emphasizes that these skills aim to achieve shared understanding through targeted questions, and that the quality of answers depends on the user’s planning competence. Nine common mistakes in using these skills are highlighted, including attempting to answer high-fidelity questions during a grill session, choosing too broad a scope, being passive toward the agent, not appreciating decisions made during the session, and using a model that’s too weak. The creator recommends running sessions in parallel to increase efficiency and stresses 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 introduces a skill called “Handoff” that he developed, which compresses the context window of agent sessions into a Markdown file and passes it to a new session. This enables breaking up long sessions and focusing on specific tasks without compromising agent performance through cluttered context windows. The skill is particularly useful for grilling sessions to break down tasks or create prototypes and integrate 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 is tailored to the needs of the next session.

  The video explicitly addresses the use of Anthropic (Claude) and is aimed at intermediate or advanced users.

• I stopped using /grill-me for coding. Here’s what I use instead:
  14.5.2026, 14:22:56

  The creator 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 step by step. However, the creator noticed that “Grill Me” often took too much time and didn’t document all relevant information. Therefore, he developed “Grill with Docs,” which uses 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 creator 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 a 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 more rapidly because changes are often made without considering the entire codebase. The creator presents his method for rescuing such codebases by drawing on software fundamentals and his improved codebase architecture skill. He explains key concepts such as modules, interfaces, implementations, deep and shallow modules, dependency graphs, seams, and adapters, which are derived from John Ousterhout’s book “A Philosophy of Software Design.” Deep modules are particularly valuable because they hide substantial implementation behind a simple interface, thereby increasing maintainability and utility. The creator demonstrates applying these concepts to his own codebase by using the “Improve Codebase Architecture” skill in Claude to identify and implement improvements. He stresses the importance of testing and the necessity for strategic decisions by the developer, as AI agents can be tactically sound but require strategic guidance. The video targets intermediate to advanced developers looking 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 that recently reached 70,000 stars on GitHub. The main additions are two new skills:

  1. **Handoff Skill**: This skill creates a handoff document that summarizes the current conversation so a new agent can continue the work. The document is stored in a temporary file and contains suggestions for skills to use 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 assists in creating prototypes, particularly in UI development and logic prototypes for stateful applications. The skill generates multiple UI variants and enables interactive testing and refinement 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 information prioritization, and an adjustment to the “To PRD” and “To Issues” skills to use the correct labels.

  There’s also a preview of two in-development skills: 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 compliance with coding standards and correct implementation of requirements.

  Finally, a documentation website is mentioned that includes videos for each skill and a newsletter to stay informed about the latest developments.

  The video explicitly addresses the use of Claude 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,” developed specifically for managing 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 address them directly if needed. The video shows a live demo where the creator applies the tool to his own “Sank Castle” repository 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 the use of Claude 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 use the TypeScript library “Sand Castle” to orchestrate AI-coding agents in isolated sandboxes so they can run completely autonomously (AFK). The creator explains that he tried various solutions but ran into problems with Docker sandboxes. Therefore, he developed Sand Castle, which enables controlling agents with 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 that is processed by the agent. The creator 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. At the end, 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 deteriorate more quickly because changes are often made without considering the entire codebase. The speaker presents 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 substantial implementation behind a simple interface, are highlighted as advantageous. The speaker demonstrates applying these concepts to a real codebase by using Claude’s “Improve Codebase Architecture” skill. This skill identifies improvement opportunities and guides the user through a process to structure and test the codebase. The speaker emphasizes the importance of testing and deep modules for the long-term health of the codebase and recommends applying the skill regularly.

  The video explicitly addresses Claude and is aimed at intermediate to advanced developers.

• Can Cursor's HARDCORE Review Skill Stop The Slop?
  28.5.2026, 14:00:25

  The video shows the creator testing a template for a “thermonuclear code review” skill that he found from the Cursor team. The skill is designed to perform thorough code quality checks, focusing on implementation quality, maintainability, abstraction quality, and code health. The creator tests the skill on the last five pull requests of his open-source Sandcastle project and displays the results. The skill identifies several structural issues and suggests improvements, including splitting large files, creating abstractions, and removing duplicates. The creator finds most suggestions helpful but criticizes the length and repetition in the skill as well as the lack of guidance on testing and feedback loops. He suggests shortening and focusing the skill.

  The skill doesn’t directly address specific tools and models, but it’s part of a broader discourse on using AI for code reviews, which could be of interest to intermediate and advanced developers.

Coding with Lewis (8 new videos)

• A Brief History of Java
  27.5.2026, 17:41:53

  The video tells the story of the Java programming language, which was originally developed for a failed project called Green that was meant to support interactive televisions and similar devices from the 1990s. James Gosling and his team at Sun Microsystems created a new language called Oak that automatically managed memory and was platform-independent. When the TV project flopped, Sun recognized the potential of Oak for the emerging World Wide Web. The language was renamed Java and introduced in 1995 with Netscape Navigator, leading to a boom in web applets. Java eventually became the foundation for enterprise software, Android apps, and backend systems worldwide. The central lesson is that technologies often find the market they need.

  The video covers the historical development of Java and is better suited for intermediate and advanced viewers.

• 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 pressured Meta to release Llama 4, which eventually turned into 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 questioned as developers and researchers found that the models did not meet the promises and that Meta had used manipulated benchmarks. The community responded with disappointment and distrust, and Meta lost the trust it had built over years. The story shows how important honesty and transparency are in the open AI community and how quickly trust can be lost.

  The video explicitly addresses Meta’s Llama models and is better suited for 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 at GitLab in 2017, when an engineer accidentally deleted the production database. The engineer was trying to fix a replication issue during a spam attack and mistakenly deleted the primary database instead of the secondary one. This resulted in the entire platform going 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 restoration was livestreamed, 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 addresses GitLab and is better suited for 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 any media format. Despite its complex command-line interface, it is used by major tech companies. In 2011, a governance debate led to the fork of Libav, though it was later abandoned. FFmpeg is run by a small group of developers with no external funding and remains a central tool in media processing.

  The video explicitly addresses FFmpeg and Libav and is better suited for 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 that the application runs identically everywhere. Although Docker did not invent containers, it made this technology accessible through simple Dockerfiles and commands. Within two years, Docker reached one million downloads and gained support from major companies like Microsoft and Google. However, Docker lost the orchestration war to Kubernetes, and Docker Swarm lost significance, 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 addresses Docker and Kubernetes and is better suited for 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 but least known software in the world. SQLite was developed by Richard Hipp, a contract engineer who became frustrated with the frequent outages of the Informix database on the ship DDG 79 where he worked. He decided to write his own database that didn’t require a separate server instance but instead 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 mobile phones from Motorola and AOL. A decisive moment was the integration of SQLite into the Android operating system, which led to explosive proliferation. 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, viewed both as a strength and a weakness. While this ensured SQLite’s stability and reliability, it also prevented 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. Richard Hipp, however, stands by his philosophy and emphasizes that he wants to continue developing SQLite his way.

  The video explicitly addresses SQLite and its developers, particularly Richard Hipp. It is better suited for intermediate and advanced users, as it delves into technical details and the software’s history.

• 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 addresses HTTP status codes and their cultural reception and is better suited for a broad audience (beginners to intermediate).

• The Most Terrifying Tech Acquisition in History
  28.5.2026, 16:42:03

  The video covers Oracle’s acquisition of Sun Microsystems in 2010 and the resulting crisis for the open-source office suite OpenOffice. The developer community feared for the future of the project, as Oracle had a reputation for proprietary software. In response, the community forked OpenOffice and founded the Document Foundation, which started LibreOffice. Oracle attempted to hinder LibreOffice’s development by asking members of the OpenOffice Community Council to resign, but this failed. LibreOffice continued to develop, while OpenOffice stagnated under the Apache Foundation. The video emphasizes the strength of the open-source community, which allows continuing to work with the code when necessary.

  **Final comment:** The video addresses open-source projects like LibreOffice and OpenOffice and is better suited for intermediate and advanced viewers.

Julian Goldie SEO (10 new videos)

• NotebookLM + Google Antigravity Is INSANE!
  29.5.2026, 05:00:36

  The video introduces a combination of two Google tools: NotebookLM and Google Anti-Gravity. NotebookLM serves as a research assistant that analyzes PDFs, links, or presentations and processes information without hallucinations. It can then convert this content into a fully animated, narrated video, where users can select the style (e.g., whiteboard, watercolor, anime) and language (80 options). Google Anti-Gravity complements this process by executing planned tasks in the background while the user attends to other things. It enables the simultaneous execution of multiple AI agents that understand voice commands and deliver finished work. The complete workflow includes inserting notes into NotebookLM, creating a plan, and handing it over to Anti-Gravity, which takes over implementation.

  The video explicitly features Google’s NotebookLM and Google Anti-Gravity and is intended more for intermediate or advanced users.

• OpenClaw 5.27 Update Just Dropped…
  29.5.2026, 05:00:19

  The video introduces the major changes in OpenClaw 5.27, an AI agent used for automating business processes. The updates focus on four main areas:

  1. **Security**: Version 5.27 closes several security vulnerabilities that reduce the risk of prompt attacks. Group chats are separated from the agent’s core, fake web addresses are cleaned up, and risky commands are blocked. Only admins can now approve major changes such as adding new devices or permissions.

  2. **Speed**: The agent has been accelerated in several small areas, such as reading chats and loading tools. These improvements are designed to ensure that customers aren’t lost due to slow responses.

  3. **Memory**: The reliability of the agent’s memory system has been improved so that it more reliably stores information about the workspace and uses the correct tools. This enables better tracking of customer inquiries and more stable operation.

  4. **New Features**: OpenClaw 5.27 introduces a new video agent tool called Pix that simplifies video creation. Additionally, more model options and better support for various AI services have been added. Message transmission across platforms like Telegram, Slack, iMessage, and Discord has also been improved to ensure more reliable and error-free communication.

  The video emphasizes that these updates make the agent more reliable for operating actual parts of a business. It also notes that those who learn this technology early will gain a significant advantage.

  Closing comment: The video explicitly features OpenClaw and is intended more for intermediate and advanced users who already use or plan to use the agent in their business operations.

• Claude Opus 4.8 Ultracode is INSANE!
  29.5.2026, 03:00:21

  The video presents the new features of Claude Opus 4.8 and Ultra Code, which enable coordinating and managing a variety of AI agents simultaneously. The main focus is on using “Dynamic Workflows” that allow breaking down large tasks into smaller pieces and having different sub-agents work on them in parallel. One example shows how a developer was able to rewrite 750,000 lines of code in 11 days. The video also demonstrates how to use this agent-swarm technology in practice, including visualizing work processes and ensuring quality through additional verification agents. It emphasizes that this technology is suitable not only for developers but for anyone who wants to accomplish complex tasks more efficiently. The creator shows how to use the “Goldie Swarm Stack” to distribute tasks, verify them, and store results in a central workspace. He recommends enabling Ultra Code for large tasks and reverting to normal Claude mode for smaller tasks. The video concludes with an invitation to sign up for an Agent Operating System that integrates these technologies in a dashboard.

  The video explicitly features Claude Opus 4.8 and Ultra Code and is intended more for intermediate to advanced users.

• This FREE Chinese AI Coding Agent is INSANE 🤯
  29.5.2026, 02:00:31

  The video introduces Trace Solo, a Chinese AI tool by ByteDance (the makers of TikTok), focusing on its new “automated workflows” feature. This enables users to define tasks that run in the background while they attend to other things. Trace Solo is a “responsive coding agent” that can plan, build, test, and even deploy projects, all in a single workspace. It integrates editor, terminal, browser, and documentation and offers a free version with access to powerful AI models.

  The automated workflows are particularly useful for recurring tasks such as reports or sentiment tracking. Trace Solo can execute multiple tasks simultaneously and offers transparency since users can check and control progress at any time. Additionally, it supports voice input and connects with existing tools like databases and Figma.

  The video is aimed at people who want to automate repetitive tasks or overcome barriers to programming. However, it notes that when using Trace Solo, data security should be considered since it’s a Chinese company.

  In conclusion, the speaker provides tips for using Trace Solo effectively and promotes the “AI Profit Boardroom,” a community that supports implementing and using AI tools.

  **Closing comment:** The video explicitly features Trace Solo and is aimed at intermediate users who want to use AI tools in their work.

• NEW Claude Opus 4.8 is WILD!
  29.5.2026, 00:47:04

  **Summary:**

  The video presents the new features of Claude Opus 4.8, which primarily emphasize the ability to have hundreds of AI agents work simultaneously and in a coordinated manner. These agents can plan, execute, and verify each other’s tasks, resulting in significant efficiency gains. One example shows how a developer implemented a software project with 750,000 lines of code in just 11 days, which would normally keep a team busy for weeks. The dynamic workflows of Opus 4.8 enable tackling complex tasks in shorter timeframes, with agents able to work over extended periods.

  The benchmarks show that Opus 4.8 is leading in many areas, particularly in complex coding tasks and long contexts. It outperforms both GPT-5.5 and Gemini 3.1 Pro in many tests, though it loses to GPT-5.5 in terminal coding. Improvements also include better error detection and a reduced tendency toward hallucinations.

  Another focus of the video is the introduction of “Ultra Code,” a setting that further boosts Opus 4.8’s performance. The video also emphasizes the upcoming introduction of the Mythos model, which is announced as even more powerful than Opus 4.8.

  **Closing comment:**
  The video explicitly features Claude Opus 4.8 and is intended more for intermediate to advanced users.

• New Hermes Agent v0.15 Update just dropped…
  28.5.2026, 23:07:42

  The video presents the latest updates to Hermes Asian v0.15, which significantly improve the speed and functionality of the AI agent. The main new features include:

  1. **Faster Startup**: The code has been reduced by 76%, resulting in faster load times.
  2. **Agent Swarms**: Multiple AI agents can work in parallel to tackle large tasks. This is managed through a Kanban board that breaks tasks into subtasks and assigns them to different agents.
  3. **Faster Search**: Searching through past chats is now 4,500 times faster and no longer uses LLM API calls.
  4. **Enhanced Security**: A new Bit Warden Secrets Manager protects against attacks like prompt injection and securely manages API keys in a vault.
  5. **Push Notifications**: Notifications inform the user as soon as a task is completed.
  6. **Skill System**: Skills can be grouped into bundles and activated simultaneously, simplifying setup and use.

  The video practically demonstrates how these features can be used and emphasizes the time savings and efficiency gains from the updates. It also references an Agent Operating System that integrates these features and provides additional tools.

  The video explicitly features Hermes Asian and is intended more for intermediate or advanced users.

• NEW AI Tool DESTROYS Google NotebookLM?
  28.5.2026, 22:00:10

  The video presents the new AI tool Simi by Laminar Labs, which creates a complete whiteboard-style explainer video with narration and visuals from an idea or prompt in 20 seconds. Unlike NotebookLM, which specializes in understanding information, Simi focuses on communicating and teaching content. The video shows five specific workflows for how Simi can be used to grow the AI Profit Boardroom community, including creating onboarding videos, educational content, and landing page videos. Simi is presented as a tool that enables quickly and efficiently creating visual lessons without having to record or edit videos yourself.

  The video explicitly features the AI tools Simi and NotebookLM and is intended more for intermediate and advanced users who want to grow their communities or businesses with AI tools.

• New Antigravity CLI Update Changes Everything!
  28.5.2026, 20:00:00

  The video introduces Google’s new Anti-Gravity CLI, which was presented at Google I/O on May 19, 2024. This CLI makes it possible to control multiple AI agents simultaneously in a terminal, greatly boosting efficiency in task completion. The agents, also called sub-agents, can work in parallel and handle various tasks such as research, writing, building, verifying numbers, and planning. The user simply provides an objective, and the agents divide the work among themselves and combine the results. The CLI runs on Go and uses Google’s latest model, Gemini 3.5 Flash, as well as other models like Claude. A particular advantage is the four times faster working speed compared to other top models.

  The video demonstrates three concrete workflows: first, creating a week’s worth of social media posts; second, planning a workshop; and third, creating an email sequence. Special commands like {slash} go and {slash} grill me are introduced, which instruct the agents either to complete a task without interruption or to ask the user questions beforehand to better understand the task.

  The video emphasizes that using the Anti-Gravity CLI doesn’t require technical prerequisites but merely the ability to formulate clear objectives. It recommends furthering education in the AI Profit Boardroom to fully utilize the CLI’s functionality and establish more efficient work processes.

  **Closing comment:** The video explicitly features Google’s Anti-Gravity CLI, which is based on Gemini 3.5 Flash and Claude, and is aimed at intermediate users who want to boost their productivity with AI agents.

• NEW Claude Mythos 1 Is INSANE!
  28.5.2026, 18:57:50

  The video reports on the brief appearance of the AI model Claude Mythos 1 within Anthropic’s Claude interface, which has since disappeared. Developers found hidden lines of code confirming that Mythos 1 will soon be integrated into Claude Code and Claude Security. Anthropic, in collaboration with 50 major companies, conducted Project Glasswing to deploy Mythos for identifying software vulnerabilities. Within one month, over 10,000 critical security flaws were discovered, including one previously undetected. 97 patches and 88 security advisories were issued. The release of Mythos 1 is intentional, designed to give security defenders a head start. Analysts expect a limited enterprise release in late June or early July, with infrastructure already being built.

  The video explicitly features Anthropic’s AI model Claude Mythos 1 and is aimed at an intermediate audience.

• OpenClaw 2026.5.26 Update Just Dropped…
  28.5.2026, 18:00:15

  The video covers the OpenClaw update 2026.5.26, which brings significant improvements to the open-source AI agent platform. The main changes include:

  – **Performance**: The Gateway Engine (Skateway) has been optimized to avoid redundant work, resulting in faster responses and startup times. System responses have been separated from slower post-processing to improve user experience.
  – **Transcripts**: A unified transcription system was introduced, enabling more reliable meeting summaries and better debugging options via the TUI (text-based user interface). Transcripts are now permanent, even if a session crashes.
  – **Security**: Multiple security vulnerabilities have been closed, including protection against SSRF attacks, prompt injection, and brute-force attacks. The updates were conducted in collaboration with security researchers and transparently documented.
  – **Voice**: The Voice SDK has been unified, resulting in better real-time speech recognition and processing. Discord Voice received improved model selection and mobile apps were optimized for a better user experience.
  – **Channels**: Improvements for Telegram, iMessage, WhatsApp, and Signal, including better handling of attachments, group behavior, and reaction permissions.
  – **Media Backend**: The switch from the Sharp library to Rasterill results in more reliable image processing and a cleaner installation process.
  – **Cron Jobs**: The default configuration for parallel cron jobs has been increased to eight, improving automation.
  – **Codeex**: The integrated Codeex version was updated to 0.134.0.

  The video is intended for intermediate to advanced users who already use OpenClaw or are seriously considering it. It explicitly features OpenClaw, an open-source platform.

Kyle Balmer | AI with Kyle (10 new videos)

• Here’s how I find what to automate with AI (and what NOT to)
  27.5.2026, 05:00:00

  The video covers a viral Twitter prompt shared by Greg Brockman, President and Co-founder of OpenAI. The prompt is designed to help identify and automate recurring workflows by optimizing interaction with artificial intelligence (AI). The author explains how to use the prompt to recognize patterns in your own workflows and automate them to increase productivity. He emphasizes the importance of first auditing your own work to identify truly relevant and repeated tasks, rather than simply implementing trendy automations. The prompt can be used in various AI tools such as Codex, ChatGPT, and Claude. The author demonstrates how to apply the prompt and how to discover further automation possibilities through targeted questions and interviews with AI. He stresses that not every task requires complex automation and shows various methods for task automation, from simple checklists to complex agents and scripts. The focus should be on finding simple and efficient solutions that actually provide added value.

  Final comment: The video explicitly addresses OpenAI (Codex), ChatGPT, and Claude and is aimed more at intermediate and advanced users.

• Gen Z are not rejecting AI
  26.5.2026, 15:43:02

  The video discusses reactions from Generation Z graduates to speeches by tech executives encouraging them to embrace artificial intelligence (AI). These speeches were frequently met with boos, which some interpreted as an anti-AI stance. However, the speaker argues that Generation Z is not inherently opposed to AI, but rather criticizes the unfair distribution of AI’s benefits. Studies show that 95% of UK students use AI, yet the main beneficiaries are tech billionaires, established professionals, and corporations, while young career starters bear the disadvantages. The demand to support AI while simultaneously worsening their job prospects is presented as cynical.

  The speaker generally addresses the impact of AI on the job market and social inequality without naming specific AI tools or providers. The video is aimed at intermediate and advanced viewers interested in engaging with the societal implications of AI.

• The students were right to boo
  26.5.2026, 10:42:53

  The video discusses reactions to two speeches by tech executives on AI. Eric Schmidt, former Google CEO, encouraged graduates to engage with AI development, which was met with boos since many are entering a difficult job market. Steve Wozniak, Apple co-founder, lightened the mood with a joke about “real intelligence” and received applause. The speaker argues that both statements are valid: Wozniak emphasizes human intelligence, while Schmidt points out the necessity of engaging with AI. The main criticism targets the difficult job situation for young people who, despite their abilities, find no opportunities. The speaker advocates for actively shaping AI development rather than ignoring it.

  **Final comment:** The video addresses general AI development 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 enables you to synchronize projects and work progress across multiple devices. The speaker explains that this feature now allows seamless switching between the office and other locations like the pool without losing data. A guide is mentioned that describes technical details and setup of synchronization across different devices (smartphone, laptop, computer) as well as centralization on a home computer. The speaker offers to share the guide if viewers like the video and leave the comment “away”.

  The video explicitly addresses the ChatGPT app and is aimed more at 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 philosophies of Google and OpenAI. Google focuses on integrating AI models into its existing products and services, while OpenAI treats the models themselves as the product.

  A central point is the introduction of the new AI model Gemini 3.5 Flash, which, however, receives poor ratings and lags behind other state-of-the-art models. The speaker emphasizes the importance of distribution and access to products, with Google having a major advantage through its existing infrastructure and user base. This is illustrated by the example of Slack versus Microsoft Teams, where distribution is often more important 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 for and use information on the internet. This could also have implications for other SaaS companies, as Google could easily integrate lightweight software solutions directly into search results.

  The speaker also discusses the introduction of agents like Spark and Antigravity, which so far are not convincing. Overall, the speaker sees the biggest news in Google’s strategic direction to integrate AI into search, which could long-term change how the internet is used.

  **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 with Kyle – 22nd May 2026 – Google I/O 2026
  22.5.2026, 06:59:45

  The video is a tutorial showing how to use a specific tool or software to create a concrete project. The main steps include installing and setting up the tool, creating a new project, customizing settings, and implementing specific features. At the end of the video, the finished project is presented to inspire viewers to apply what they’ve learned in their own projects.

  The video addresses specific tools such as Cursor and is more suitable for intermediate users.

• AI Destroyed Your Career Ladder (Here’s What to Do Now)
  22.5.2026, 05:00:21

  The video discusses the different reactions of tech executives to the impact of artificial intelligence (AI) on the work world, particularly on young people just entering the job market. Former Google CEO Eric Schmidt was booed at a graduation ceremony when emphasizing the opportunities of AI, reflecting Generation Z’s growing concern about AI’s impact on their career prospects. In contrast, Steve Wozniak, Apple co-founder, received applause when highlighting the importance of human intelligence and creativity.

  The speaker argues that the real challenge is not that AI is replacing existing jobs, but that it is preventing the creation of new entry-level jobs. This particularly affects young people, as they often have no opportunity to gain necessary experience. While tech executives predict new roles related to AI, these roles could be taken either by experienced professionals or even by AI itself, further exacerbating the situation for Generation Z.

  The speaker emphasizes that it is not enough to criticize tech executives, but that young people must be proactive. He suggests thinking entrepreneurially, working freelance, or starting small businesses to achieve financial independence. He stresses the need for further education, developing useful skills, and taking personal responsibility, since traditional career paths are no longer secure or lucrative.

  Final comment: The video does not address specific AI tools/models/providers and is aimed more at 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 synchronize projects and chats across multiple devices using ChatGPT Codex. The author explains that traditionally you could use GitHub, but chats are not automatically 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 author offers a guide that he shares via comment or through the link in his bio.

  The video explicitly addresses ChatGPT Codex and is aimed more at intermediate users already familiar with the basic functionality of ChatGPT.

• The AI Job Audit: Will AI Take Your Job?
  29.5.2026, 05:00:04

  The video addresses the impact of AI on jobs and emphasizes that it is not about sudden job losses, but about subtle changes. The speaker explains that every job consists of different tasks that are affected differently by AI. He distinguishes between “exposed” tasks that can be taken over by AI (e.g., invoice reconciliation, reporting) and “defendable” tasks that require human skills (e.g., customer service, judgment). The speaker introduces a diagnostic tool that helps analyze your own tasks and develop strategies to prepare for changes. He warns that entry-level positions and young workers in particular could be affected by these changes and emphasizes the importance of skills like empathy and emotional intelligence, which AI cannot easily replace. The video is aimed at intermediate and advanced users.

  Explicitly addressed are Claude, open-source tools, and specific tools like Xero.

• The AI job-loss debate usually focuses on layoffs
  28.5.2026, 08:42:13

  The video argues that AI will not directly replace jobs, but will prevent the creation of new jobs, particularly entry-level positions. The mechanism is more subtle than the direct replacement of employees by AI systems. Instead, AI will lead to fewer new jobs being created, which is particularly problematic for younger people. Already today there is declining job creation globally and high competition for entry-level positions, which is expected to intensify.

  The video addresses AI in general without mentioning specific tools or models and is aimed at a broader audience interested in the impact of AI on the job market, thus more at intermediate or advanced viewers.

David Shapiro (1 new video)

• I’m worried about where things are going
  20.5.2026, 10:35:09

  The video discusses the looming development toward “technofeudalismo,” where human intelligence becomes redundant through artificial intelligence (AI). The speaker warns about the emergence of “redundant biomass,” where humans could be degraded into economically useless, disposable beings. He argues that this development is driven by several overdetermined forces, including geopolitical competition between the US and China, capitalism and neoliberal economic policies, and the rational economic decision to opt 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 development.

  The video explicitly addresses AI and automation in general without naming specific tools or models, and is aimed at an intermediate to advanced audience.

AI News & Strategy Daily | Nate B Jones (10 new videos)

• The ultimate Claude AI prompting trick #ai #claude #aitools
  28.5.2026, 03:00:02

  The video emphasizes that Claude from Anthropic is particularly good at editing and refining existing content rather than generating completely new content from scratch. Although Claude can generate from nothing, results are more precise when the request is formulated very specifically. An independent comparative study by Axis Intelligence from February 2024, involving over 100 participants per round, showed Claude won in four of eight rounds against ChatGPT. Users rated Claude’s outputs as more natural and directly publishable, with Claude achieving 85% in structural coherence compared to ChatGPT’s 78%. Type.ai found that ChatGPT often adopts a typical AI style, while Claude’s text reads more human.

  The video explicitly addresses the AI models Claude and ChatGPT and is aimed more at intermediate and advanced users who want to understand and leverage the nuances of AI outputs.

• Why millions are switching to Claude #ai #claude #tech
  28.5.2026, 00:00:11

  The video discusses the difference in training approaches between AI models, particularly between Claude and ChatGPT. Claude is trained to follow principles, while ChatGPT is optimized to maximize user satisfaction. A study by Pixel Peaks comparing 500 tasks showed Claude achieved 94% exact compliance compared to ChatGPT’s 87%. The author emphasizes this is ironic because ChatGPT is designed to provide accurate answers to requests. However, this is often insufficient in a work context where tasks are frequently poorly defined and refine over multiple conversation steps. This can cause ChatGPT to miss actual task compliance despite initial user satisfaction.

  The video explicitly addresses the AI models Claude and ChatGPT and is aimed at intermediate users.

• I Built a Deck With AI, Then Made a Second AI Attack It.
  27.5.2026, 14:00:36

  The video addresses the integration of AI agents in creating and managing office documents, particularly Excel and PowerPoint. The focus is on how AI can boost productivity not just by creating individual documents but by reshaping entire workflows. The author emphasizes the need for a structured approach consisting of four main steps: preparing sources, defining structure, creating files, and reviewing results. This highlights the importance of source organization and discipline to ensure created documents are reliable and accurate. The author demonstrates how to use AI tools like Claude and Codex to create and verify complex documents by employing these tools in an iterative process. Particular emphasis is placed on the need to view AI as a central component of the workflow rather than just a helper tool.

  The video explicitly addresses the AI models Claude and Codex and is aimed more at intermediate and advanced users.

• Why you're using Claude completely wrong #ai #claude #chatgpt
  27.5.2026, 03:00:01

  The video discusses differences in working style between Claude and ChatGPT, particularly regarding interactivity and the ability to influence the model’s thinking process. Claude allows users to interrupt the response process and correct the direction of the solution in real-time, which is particularly useful for complex problems. However, this requires active monitoring of the text to catch deviations early and correct them. ChatGPT users, on the other hand, are accustomed to asking a question and waiting for the result without intervening during the process. The speaker emphasizes that the ability to steer Claude’s thinking process changes how you approach difficult problems and requires conscious focus on the ongoing output.

  The video explicitly addresses the AI models Claude and ChatGPT and is aimed at intermediate users who already have experience with these tools.

• The mistake everyone makes switching to Claude #ai #claude
  27.5.2026, 00:00:06

  The video compares the working methods of Claude and ChatGPT, particularly in handling context. Claude uses rich context to think strategically and reflect on the task, while ChatGPT uses additional information more for detailed answers. Claude can go beyond what was explicitly asked and acts like a thinking partner. It is recommended to provide Claude with a few sentences of context before the task to achieve better results.

  The video explicitly addresses Claude and ChatGPT and is aimed at intermediate users who want to understand the differences and applications of these models.

• Shopify CEO Reveals Their Secret AI Developer
  26.5.2026, 14:00:15

  The video discusses the importance of public AI work within organizations, particularly using Shopify and their internal coding agent River as an example. Shopify made a unique design decision by having all interactions with River take place in public Slack channels, allowing other employees to learn from the processes and decisions. The core of the video lies in the thesis that most organizations have a visibility problem with AI usage, as most interactions with AI tools happen in private windows. This prevents valuable insights and workflows from being shared, meaning the organization as a whole doesn’t benefit from individual learning experiences.

  The speaker emphasizes the importance of public AI work processes to close a kind of “apprenticeship gap” where younger or less experienced employees can learn from experienced colleagues. He proposes that organizations establish public channels for AI work where tasks, context, interactions, and reviews are shared to promote shared understanding and improved workflows. Key points are the need for senior employees to share their work publicly and the creation of rules and boundaries to ensure sensitive information remains protected.

  The video explicitly addresses Shopify’s internal coding agent River and emphasizes the importance of public channels and the need for senior employees to share their work publicly. It is aimed more at intermediate and advanced users dealing with the implementation and optimization of AI tools in enterprise environments.

• Are AI Agents Actually Boosting Productivity? #futureofwork #ai #tech
  26.5.2026, 03:00:36

  Eric Björnsson reported in the Financial Times that US productivity grew about 2.7% in 2025, which is double the average of the last ten years. He attributes this increase partly to AI agents and AI. However, the author emphasizes that AI adoption is not uniform everywhere. Simply using a chatbot is not enough to effectively structure workflows around AI. Those achieving exceptional results integrate AI as a primary collaborator and adapt their way of working accordingly. A central point is that collaboration only works if the AI has a memory for the user. An example is given of the difference between two workflows: Person A must inform Claude anew each time about her role, projects, and constraints, while Person B benefits from an MCP server in Open Bridge that stores all relevant information, allowing Claude continuous knowledge about the user.

  The video explicitly addresses Claude and OpenAI, with the focus on intermediate users wanting to optimize their workflows with AI.

• The trap hidden inside Salesforce #salesforce #crm #startup
  29.5.2026, 03:00:01

  The video discusses the concept of “comprehension lock-in” or “intelligence lock-in” in the context of enterprise software, particularly platforms providing a synthesis layer for various systems. The core point is that switching to other systems is difficult not only due to model decisions but especially because of the unique understanding layer these platforms build. This layer connects and understands relationships between different data sources and decisions, which is not exportable. Unlike data, which is ultimately portable, the synthesized organizational knowledge built over a year is not transferable. This form of lock-in is described as the deepest and most complex in enterprise software and will strengthen with each operating hour of the platform. The video also suggests this could lead to a self-reinforcing cycle (flywheel).

  The video addresses general concepts of enterprise software and platform economics without naming specific AI tools or models, and is aimed at an advanced audience engaging with the strategic implications of technology decisions.

• How Claude AI actually solves hard problems #claude #aitools
  29.5.2026, 00:00:02

  The video explains Claude’s ability to use “extended thinking” to systematically analyze complex problems and present the thinking process transparently. This feature enables improved performance on demanding tasks like contract analysis or troubleshooting, with Anthropic reporting improvements up to 54% on such tasks. Unlike OpenAI, which burns inference tokens to generate answers, Claude shows the thinking process and uses additional tokens to further refine the solution. This is particularly important because Claude doesn’t rely on inference-compute models and thus works more efficiently.

  The video explicitly addresses Claude and OpenAI and is more suitable for intermediate users.

• A Cursor Agent Wiped a Database in 9 Seconds. Agent Analytics Would Have Seen It Coming.
  28.5.2026, 14:00:28

  The video discusses the importance of agents in product development and the need for agent analytics to effectively monitor and control their work. The speaker emphasizes that traditional product analytics, which focus on clicks and sessions, are insufficient for understanding agent work. Instead, teams must analyze “agent runs” as the new unit of product behavior. This includes monitoring instructions, tool calls, approvals, permission boundaries, and user corrections. The speaker argues this analytics is critical not just for debugging but for designing and controlling agents. He references an example where an AI agent deleted a company’s production database in just 9 seconds, emphasizing such incidents could be prevented through better agent analytics. The speaker proposes teams track three main events: agent run starts, task completion, and user corrections during runs. He warns against leaving product analytics to engineers alone and emphasizes the need for good data structure and product analytics to understand agent run value and deliver useful work.

  The video does not explicitly address specific AI tools or models and is aimed more at intermediate or advanced users.

Alejandro AO (4 new videos)

• Hermes Agent Crash Course: VPS Setup (EASY)
  27.5.2026, 04:00:27

  The video demonstrates how to set up and use the Hermes Agent on a VPS (Virtual Private Server). It starts with a brief introduction to the Hermes Agent, described as a self-improving AI Agent that runs continuously and is accessible via various messaging platforms like Telegram, Discord, and Slack. The Agent comes with numerous integrations and Skills that make it a productive personal assistant.

  The tutorial then provides detailed instructions on setting up a VPS with Hetzner and installing the Hermes Agent on it. A special Skill script is used to automate the entire setup process. The Agent is connected to a Hugging Face Inference Provider and configured via Telegram. The video shows how to create Cron Jobs for scheduling automatic tasks and how to use the Hermes Agent dashboard to manage models, Sessions, Logs, Cron Jobs, Skills, and Plugins.

  The video concludes with a demonstration of how to integrate the workflow into the Hermes Agent “brain dumps” and how the Agent helps generate and prioritize tutorial ideas. It also mentions that future videos could cover advanced topics such as using Kanban for task orchestration and deploying the Hermes Agent on managed cloud services.

  The video explicitly focuses on the Hermes Agent and is aimed at intermediate users who already have basic knowledge of using VPS and AI Agents.

• 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 through a practical example. The author first explains what n8n is and how to install it, particularly on a VPS with Docker. Subsequently, an agentic RAG (Retrieval-Augmented Generation) Agent is built with n8n, which also integrates research capabilities with the Firecrawl MCP. The author compares traditional RAG systems with agentic 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 walks through step-by-step how to create a workflow in n8n, including integration of forms, databases, and AI Agents. Finally, the flexibility and versatility of n8n are highlighted, enabling complex automations and AI Agents to be built.

  The video explicitly focuses on n8n and open-source models from Hugging Face and is suitable for intermediate and advanced users.

• MiniMax Agent: Alternative to ChatGPT + Codex?
  12.5.2026, 12:46:44

  The video showcases the features of the MiniMax Agent, an AI tool positioned as a competitor 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, achieves high benchmark scores and is offered at a lower price point.

  The video demonstrates how to use the MiniMax Agent to create a website and deploy it to MiniMax Cloud. The web and desktop app of the tool are presented. 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 as well as premium plans. Particularly highlighted is the tool’s ability to handle complex tasks such as website creation, data analysis, and video generation.

  Closing note: The video explicitly focuses on the MiniMax Agent and is aimed at 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 framework that can be customized to meet user needs. The focus is on enabling users to get started quickly without delving into every feature in detail. The key points are:

  1. **What is Pi?**
  – Pi is a minimalist agent framework that starts with just four core functions and can be individually customized through extensions and modifications.
  – Unlike other agent frameworks, Pi does not offer pre-built features such as 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 in the terminal.
  – After installation, users must log in 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 framework. 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 standard files `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 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 allow 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 focuses on the Pi Agent Harness and is aimed at intermediate users who already have experience with agent frameworks and want to customize them individually.

Sebastien Dubois (7 new videos)

• Obsidian + AI: The System I’ve Been Building For 4 Years (OSK v4)
  27.5.2026, 09:58:16

  The video introduces the fourth version of the “Obsidian Starter Kit,” fully equipped with AI capabilities. The Starter Kit is an extension for Obsidian that provides an organized, scalable, and well-structured system. Version 4 integrates a complete AI assistant system that facilitates the use of AI within the vault. A central component is the “Receptionist,” which serves as an interface for interacting with various AI agents and skills.

  The system encompasses numerous AI agents and skills divided into various categories, such as productivity, books, discovery, health, ideas, identity, media, people, reading, research, and more. These skills enable the automation of tasks like creating tasks, managing books, discovering old notes, tracking health data, and organizing ideas. Additionally, there’s an identity system that allows AI to understand and utilize personal information such as user history, work style, and values.

  Another feature is support for LLM Wikis, inspired by Andrej Karpathy. These wikis allow you to create and manage a Markdown-based knowledge base that is organized and expanded by AI. The video also demonstrates the integration of a plugin called “Claudian,” which enables connection to Claude AI, as well as the use of a command-line interface for interacting with AI.

  The video is suited for intermediate to advanced users, as it assumes viewers are already familiar with Obsidian and basic AI concepts. It covers specific tools and plugins such as Claude AI and the Obsidian Starter Kit Plugin.

• 22 mai 2026
  22.5.2026, 06:27:47

  The video reflects on the diversity and depth of human life, emphasizing that each person can live many “lives” within a single life through various experiences and interests. The speaker shares his own diverse experiences, including different career paths, creative projects, and personal development, highlighting how enriching it is to immerse oneself in different roles and subjects. He emphasizes that there are always new opportunities to grow 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 focused on 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 the combination of diverse experiences and interests creates an enriching and unique journey.

  The video doesn’t cover specific AI tools or models and is more 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 enhance the effectiveness of AI applications. This context can be easily created and shared in the form of Markdown files in a common folder, whether through 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, as it doesn’t require complex solutions.

  The video doesn’t cover specific AI tools or models and is more suitable for intermediate and advanced users.

• Levels of AI Context Management: From Generic Answers to Precision Results
  16.5.2026, 08:48:32

  The video discusses 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 stages (1-3), the focus is on providing basic context and leveraging the AI’s built-in memory functions, though these are described as unreliable and pseudo-random. From level 4 onward, advanced prompt engineering techniques are introduced, which yield better results but come with challenges such as organizing and managing prompts. From level 5 onward, the importance of a central knowledge system is emphasized, containing information about projects, goals, and work processes. This enables AI to provide more precise and relevant results. In the higher levels (6-8), the focus shifts to managing AI memory, implementing AI agent skills, and optimizing context management to improve consistency and quality of results. The speaker emphasizes that a well-structured knowledge system that can be fully understood and utilized by AI currently delivers the best results.

  The video explicitly discusses Claude, OpenAI, and specific tools such as Obsidian, Anthropic, Google, and OpenAI. It’s 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 using 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 your files belong to you. The video emphasizes the comprehensive features for organizing, searching, and utilizing stored information.

  The video covers Obsidian and is more 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 create 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 covers Obsidian and AI tools in general, but is more suited for intermediate users engaged 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 free your mind by relying not on memory but on systems that permanently store information and make it easily retrievable. The core idea is that by using such systems, you’re able to easily recall everything you’ve stored. The speaker emphasizes that this method works and has the potential to change your life.

  The video doesn’t cover specific AI tools or models and is more suited for beginners.

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 safely deploying AI tools like ChatGPT, Claude, and Microsoft Copilot. Today, it’s about 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 substantially 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 behavior monitoring. This solution encompasses data collection and analysis, access rights monitoring, and automation of security measures.

  Brian highlights that many companies still don’t fully understand the complexity and risk of AI security. He warns that attackers are increasingly using AI to quickly and efficiently infiltrate systems, emphasizing the need to secure data and underlying infrastructure.

  The video concludes with a discussion about implementing the Veronis solution, which is fast 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 like Claude, ChatGPT, and Microsoft Copilot, as well as specific tools like Veronis AI Atlas. It’s geared more toward intermediate and advanced audiences, as it provides in-depth insights into AI security and complex solution approaches.

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