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Claude Opus 4.8 Sets New Standards in AI-Coding: Dynamic Workflows and Ultra Code Mode

Monday, June 1, 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 under the summary.

AI with Arnie (1 new video)

• Opus 4.8 is a Freak
  29.5.2026, 21:07:45

  The video presents the new features of Anthropic’s AI model Opus 4.8, which is available at the same price as the previous version. Key updates include Dynamic Workflows, a three times cheaper Fast Mode, and improved honesty of the model, which lies less and confirms users less in false statements. Benchmarks show that Opus 4.8 outperforms GPT-5.5 in some areas, but at higher costs. The Ultra Code Mode and dynamic workflows enable complex tasks, but consume extremely many tokens. A practical example is the simulation of a six-legged robot created with a single prompt. The video warns about the high costs of these features and recommends adjusting the Thinking Effort according to your needs. Anthropic is planning additional models, including a more cost-effective one and a more powerful one, as well as the possible release of Mythos. Prices for Opus 4.8 remain unchanged, with Fast Mode now significantly cheaper. The video also discusses the potential profitability of Anthropic through deals with AWS and SpaceX as well as Andrew Carbaggi’s approach to improving the model.

  The video explicitly covers Anthropic’s Opus 4.8 and is aimed more at intermediate to advanced users.

Cole Medin (2 new videos)

• Claude Plans, Gemini Designs: One Workflow for Beautiful Frontends (LIVE)
  31.5.2026, 04:37:29

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

  The video does not address specific AI tools or models and is not suitable for any particular audience, as it lacks substantive content.

• 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 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 taking ownership and continuously improving the system through learning from errors and adapting rules and processes. It also points to the 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.

Nate Herk | AI Automation (5 new videos)

• Claude Code Dynamic Workflows Clearly Explained
  30.5.2026, 17:34:30

  The video covers the new dynamic workflows in Claude Opus 4.8.8 and compares them with other features like Skills, Sub-Agents, Agent Teams, and /goal. The creator explains that workflows are a type of “cloud code” that can launch many parallel agents, which then consolidate their results. An example was analyzing 41 skills compiled in an HTML file. The creator warns about high costs, as a workflow can quickly consume many tokens. He recommends using workflows only for specific, parallel tasks and not for simple requests. The new Ultra Code feature is also mentioned, which uses workflows by default and can be very expensive. The creator emphasizes that you should be aware of when to use which feature to save costs.

  The video explicitly addresses Claude Opus 4.8.8 and is geared toward intermediate to advanced users.

• I Turned Claude Opus 4.8 Into My Entire AI Operating System
  29.5.2026, 14:36:34

  The video shows how the creator uses Claude Opus 4.8 as his personal AI operating system, functioning as his second brain and executive assistant. He explains his framework of the four C’s (Context, Connections, Capabilities, Cadence) for building such a system and discusses the importance of context and optimizing usage. The creator shares his experiences migrating from various tools to Claude Code and emphasizes the importance of organization and continuous improvement. He also provides a free GitHub repo that serves as a starting point for building your own AI operating system. Additionally, he addresses the importance of security and the gradual rollout of automations, comparing it to learning to ride a bike.

  The video explicitly addresses Claude Opus 4.8 and is geared toward intermediate to advanced users who already have experience with AI tools and want to further optimize their system.

• 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 Cloud Code have been increased to compensate for higher token consumption from increased effort levels. New features like dynamic workflows and the ability to manually adjust effort have been introduced. The creator emphasizes that while benchmarks are impressive, the actual performance of the model depends on the specific use case. Opus 4.8 aims to address issues from Opus 4.7 such as lack of persistence, excessive safety restrictions, and high token costs. The creator shares his initial impressions and tips for optimal use of the model, including adjusting effort levels and clearly stating tasks. Community reactions are mixed, with positive feedback on improvements but also early reports of bugs.

  The video explicitly addresses Claude Opus 4.8 and is geared toward intermediate to advanced users.

• 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 begins with a brief introduction to both tools, highlighting that Claude Code from Anthropic offers more customization options, while OpenAI’s Codex has a more standardized workflow. The comparison covers three tasks: creating a research report, a landing page, and an interactive dashboard. Claude Code demonstrates superiority in frontend work and complex planning, while Codex excels at research-intensive tasks and quick execution. Cost and token usage are analyzed in detail, with Codex being more efficient in token consumption. The video concludes with a recommendation to choose the appropriate tool based on your specific use case and emphasizes the rapid evolution 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

  **YouTube 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 approaches 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.
  – The 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 customers’ true needs.

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

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

  **Final Note**:
  The video explicitly addresses Claude, OpenAI, and open-source models, as well as specific tools like Cloud Code and Co-Pilot. It’s aimed at intermediate and advanced users who already have AI experience and want to scale or optimize their business models.

Ben AI (1 new video)

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

  The video showcases 12 tools and plugins for Cloud Code and Co-Work 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 involved, but simplified with a provided skill.

  2. **Higsfield**: Allows Claude to access image and video models like Nano Banana and Cance. There’s both an MCP for Co-Work 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 your own 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 animation addition.

  5. **Versel**: Enables rapid deployment of HTML content to a server and creation of live URLs. Ideal for hosting and distributing websites, reports, and dashboards.

  6. **Caveman Plugin**: Compresses text by up to 75% and saves tokens accordingly. 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 cannot reach. Both an MCP and CLI are available.

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

  9. **Cloth Video Plugin**: Enables video scraping by downloading videos 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 focuses on Claude and is better suited for intermediate users.

Brian Casel (4 new videos)

• Why 2026 Is the Year Everything Changed for AI Builders!
  30.5.2026, 14:00:10

  The video describes the evolution of AI usage in the speaker’s work life from 2023 to 2026. In 2023, he worked entirely manually, while in 2024 AI served as an amplifier to accelerate existing processes through tab completion and writing assistance. By 2025, AI had become a true collaborator, with spec-driven development taking over and the speaker no longer writing a single line manually. In 2026, he orchestrates multiple AI agents simultaneously, spending 90% of his time designing and refining specifications and only 10% verifying results. Multitasking with agents is described as a natural evolution, as creating specifications has become the central creative output.

  The video covers generic AI agents and ChatGPT but isn’t focused on specific tools or models and is aimed at intermediate to advanced users.

• The AI Productivity Trap Nobody Talks About
  29.5.2026, 14:00:07

  The video discusses the evolutionary use of AI agents like Claude or ChatGPT, starting from basic interaction through chat windows to using skills for automating recurring tasks. The speaker criticizes that even with skills, work remains heavily dependent on manual intervention and monitoring, leading to inefficient workflows. The breakthrough comes when the speaker begins to view AI agents as independent team members that take on tasks autonomously and only require human attention when needed. This shift enables more productive and efficient collaboration with AI.

  The video explicitly covers the AI models Claude and ChatGPT and is aimed at intermediate users who already have experience with basic AI interactions.

• The One Skill AI Can’t Do For You
  31.5.2026, 14:00:03

  The video discusses the problem that accelerated software development through modern technologies like AI leads developer teams to implement too many features instead of focusing on what really matters. This flood of features can ruin products, as the old constraint of slow execution has been replaced by new speed. The key to solving this problem lies in a non-technical skill that AI cannot replace: strategic prioritization. The author emphasizes that even in 2026, despite the maturity of spec-driven development, many teams don’t practice this skill sufficiently. The video promises to explain this skill, illustrate its importance, and provide a concrete framework to apply it immediately.

  The video covers AI in general and is aimed more at intermediate and advanced users.

• Stop Vibe Coding Become a Product Architect!
  31.5.2026, 14:00:04

  The video argues that the crucial skill when working with AI is not programming, but rather the role of a confident product architect. While “vibe coding” – experimenting with AI prompts – is often unpredictable and inefficient, the key lies in clearly communicating goals and requirements to AI. Professional builders use AI to achieve directly usable results instead of working through trial and error. The ability to formulate ideas precisely and deploy AI as a tool strategically is crucial. Particularly people with a business background or systems thinking bring valuable competencies to the table, as they understand processes and customer needs. The main task is to think strategically and lead AI as a development team to create tailored solutions.

  The video covers generic AI tools and is aimed more at intermediate and advanced users.

Melvynx (8 new videos)

• Ce mec est cool
  30.5.2026, 16:26:03

  Without the concrete link to the video, I cannot create a summary. Please share the link to the YouTube video so I can provide you with a precise and detailed summary.

• Opus 4.8 : meilleur modèle au monde (ou Codex…)
  29.5.2026, 06:07:18

  The video tests and compares the new Opus 4.8 model from Cloud with GPT 5.5 in various tasks. Opus 4.8 was introduced as an improvement over Opus 4.7, with better judgment, honesty, and the ability to handle longer sessions. The test covers three main tasks: creating CLI documentation, implementing a notification function for a thumbnail generation application, and updating a title in an application. Opus 4.8 shows better results in most tasks, particularly in code quality and functionality. GPT 5.5, however, has issues in some areas, such as the notification function, with code quality problems, though functionality is present. Opus 4.8 wins the overall comparison with a higher score. Additionally, new features of Cloud Code such as Dynamic Workflows and an improved agent view are presented, enabling the orchestration of subagents for complex tasks. However, the user expresses concerns about the practicality of these features.

  The video explicitly addresses the Opus 4.8 and GPT 5.5 models and is aimed at 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 **Comb** tool, specifically designed for creating frontend designs with AI assistance. The focus is on the new **Design Mode**, which enables creating creative and appealing user interfaces. The user demonstrates how to create different 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 chosen designs into the code. The tool also offers browser integration to check and adjust changes in real-time. At the end, it shows how to improve and implement a feedback dashboard interface. The video mentions that Comb can be used free up to 300 credits per month, with paid options available afterward.

  **AI Tools/Models/Providers:** Comb (proprietary AI), VS Code (integration), Convex (backend database) – rather for intermediate to advanced users.

• 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 AI models’ capabilities in software engineering. Unlike earlier benchmarks like SWE Bench Pro, Deep SWE measures model performance on realistic tasks involving more complex and longer code assignments. Results show GPT-5.5 performs best at 70%, followed by GPT-5.4 at 56% and Claude Opus 4.7 at 54%. Models like Gemini 3.5 Flash and various Chinese models perform significantly worse. The benchmark also highlights model efficiency, with GPT-5.5 consuming fewer tokens and thus being more cost-effective. The analysis shows GPT-5.5 provides consistent and reliable results, while other models like Claude frequently forget requirements or cheat. Experts widely regard the benchmark as realistic and useful as it reflects actual AI model usage in practice.

  **Concluding comment:** The video explicitly addresses GPT-5.5, Claude Opus 4.7, Gemini 3.5 Flash, and various Chinese models. It is aimed at 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 **Pi** tool, an orchestrator or “harness” for AI agents that enables creating and managing complex workflows and tool chains. The creator tests Pi’s installation and basic functions, including integration of various AI models (e.g., OpenAI, Claude) and using plugins to extend the agent. Particularly highlighted is Pi’s flexibility to create and customize own 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 subagent plugin, to automate and manage tasks. He also shows how Pi enables connecting the agent with different AI models and monitoring their costs. Critically noted is 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 Pi’s flexibility and adaptability justify the effort and costs, and whether it wouldn’t be better to rely on simpler, prefabricated solutions.

  **Concluding comment:** The video explicitly addresses the **Pi** tool and is aimed at **intermediate** or **advanced** users who are familiar with AI agents and orchestration.

• OpenClaw everywhere
  26.5.2026, 09:40:36

  The video discusses using AI chatbots like Claude and ChatGPT via the Telegram app. The author emphasizes Telegram’s reliability 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 transportation and taxi prices in his area, describing the high costs and practical problems. He mentions that in the future he wants to create a video tutorial on how to use public transportation maps.

  The video explicitly addresses Claude, ChatGPT, and Gemini, and is aimed at 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 heavily inspired by other AI-powered developer tools like 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 Gemini model integration 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 error-prone. He also compares the performance of Gemini models with those of other providers and finds they don’t reach the top in the coding domain. Overall, he considers Antigravity 2.0 a functional but not outstanding tool that Google could significantly improve with more effort and better design.

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

• Composer 2.5 : le modèle le plus intelligent et pas chère ?
  31.5.2026, 16:38:50

  The video covers the introduction of the new **Composer 2.5** model from Cursor, promoted as faster and more cost-effective yet more powerful than GPT 5.5 High and Opus 4.7 Extra High. The creator tests the model in various scenarios, including thumbnail creation and code generation. It turns out that while Composer 2.5 is fast, it doesn’t match leading models in quality and reliability. The high RAM usage of Cursor is particularly criticized, as it heavily burdens the system. The creator concludes that while Composer 2.5 is suitable for small tasks and quick fixes, it cannot compete with the best models like GPT 5.5 or Opus 4.7.

  Concluding comment: The video explicitly addresses the AI model **Composer 2.5** from Cursor and is aimed at **intermediate** to **advanced** users.

Dave Ebbelaar (1 new video)

• 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 focuses on acquiring and monetizing customers before launching a formal 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, developing 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 co-developing the solution with them, progressively involving customers in the process. In the third step, the solution is transformed into a standalone software product that enables self-signup and self-service usage. The approach emphasizes finding and monetizing customers first before investing in product development, highlighting that the biggest mistake is spending months building a product without first validating market needs.

  The video doesn’t focus on specific AI tools or models, but is better suited for intermediate and advanced viewers who already have technical knowledge and want to build 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 sometimes delivered similar results, suggesting copying. When tasked with earning money, the agents proposed various methods, though some were unrealistic or uncreative.

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

• Claude Remote Control is incredible!!!!
  31.5.2026, 08:00:34

  The video demonstrates how the user uses Claude Code Remote to access and manage his server from anywhere. The user explains how he installed and configured Claude Code Remote on his Hostinger VPS to have access to his server at any time, even after a restart. He demonstrates how he can manage various agents in Paperclip with Claude Code Remote and query server information. The user emphasizes the advantages of this remote control, particularly the ability to monitor and repair the server even when facing issues like storage overload or hacking attempts. He also mentions that he recommends Hostinger as a server provider and provides a discount code for their offers.

  The user specifically addresses Claude Code Remote and Hostinger, with the video being more suitable for intermediate users who already have basic knowledge of server management.

Fireship (2 new videos)

• The forgotten developer who saved JavaScript…
  29.5.2026, 17:06:48

  The video tells the story of JavaScript and how it evolved from a despised programming language into one of the most popular languages in the world. A central point is the role of Jeremy Ashkenas, who significantly shaped JavaScript’s development through three major projects: Underscore.js, CoffeeScript, and Backbone.js. Underscore.js provided a standard library for JavaScript, CoffeeScript improved the syntax, and Backbone.js enabled the structuring of JavaScript applications. These innovations helped modernize JavaScript and make it suitable for more complex applications. The video emphasizes that many of these improvements are taken for granted today, but were revolutionary at the time.

  Final comment: The video focuses on JavaScript and specific tools like Underscore.js, CoffeeScript, and Backbone.js, and is aimed more at intermediate and advanced developers.

• 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 spinning 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 presents ads as alien mind control, turning web browsing into an 80s sci-fi horror experience.
  4. **CUDA Oxide**: A Nvidia project that enables writing GPU kernels 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 works like TikTok, allowing you to endlessly scroll through Wikipedia articles with data processed entirely 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 covers a wide range of open-source tools and projects from individual developers and large companies like Nvidia. It targets a technically savvy audience interested in innovative and unusual software solutions.

Julian Ivanov | AI Automation (1 new video)

• Claude can now generate Hollywood movies (Seedance 2.0)
  28.5.2026, 17:24:57

  The video demonstrates how to generate cinematic videos and images using the Hixfield platform and the AI tool Cloud. Hixfield provides access to various models such as CDE 2.0 for video and Nano Banana for image generation. The process is simplified through an MCP connector that outsources video production to Cloud. Cloud handles prompting, model selection, and settings. Additionally, Skills can be used to achieve consistent and reproducible results. These Skills assist with character creation and video production. The video demonstrates the creation of a short film and explains Hixfield’s pricing structure, where CDE 2.0 is expensive but high-quality.

  The video explicitly covers the tools Hixfield, Cloud, CDE 2.0, and Nano Banana, and is more suitable for intermediate and advanced users.

Mark Kashef (1 new video)

• The Claude Update Everyone Missed (Dynamic Workflows)
  29.5.2026, 16:00:10

  The video demonstrates the use of dynamic workflows in Claude Code, a version of the Claude AI model, to handle large tasks efficiently. The user shows how to create a team of agents that work in parallel to analyze and synthesize extensive documentation such as contracts, lease agreements, and proposals. An example is the creation of a due diligence report from over 70 documents, which was completed in 20-30 minutes—work that would normally take hours. Dynamic workflows enable agents to be created that collaborate to perform comprehensive analyses and validate insights. The user emphasizes that this feature is particularly useful for large, complex tasks that require more than five or six agents. Various practical use cases from different industries such as law, finance, healthcare, insurance, real estate, software development, marketing, human resources, and compliance are presented. However, the user cautions that this feature is not intended for everyday tasks and causes significant token consumption. At the end, the user offers links to a community and the prompts used.

  The video explicitly addresses the Claude AI model (Claude Code) and is better suited for intermediate to advanced users.

Everlast AI (3 new videos)

• Emanuel Böminghaus: “AI is the END of everything I know!” Companies must finally 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 the automotive industry, primarily due to lower energy costs and greater openness to technology. He describes how German companies like BASF are cutting jobs and relocating production facilities due to high energy costs and price pressure from China. According to Emanuel, the chemical industry in Germany faces major challenges, as one in four industrial jobs depends on chemistry, and the industry won’t survive the next two to three years without significant damage.

  Emanuel reports on his trip to China and describes the dynamic environment and national pride there. He emphasizes that China is attacking German industries across the board and making enormous progress, while Germany is falling behind in many areas. A central problem is the lack of price competitiveness of German products compared to 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 he says hinders innovation. He describes how companies like SAP and Mercedes could revolutionize their business models through the use of AI assistants and automation, but are often held back by bureaucracy and fear of regulation. Emanuel emphasizes the importance of excellence promotion in the education system to remain competitive in the future.

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

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

  The video discusses the potential impacts of developing artificial general intelligence (AGI) on the economy and the world of work. It begins with a simulation of Emergency AI, in which AI agents operate in a digital business world without overarching goals and ultimately decide rationally to remove themselves to achieve their objectives. The speaker emphasizes that we are at the threshold of a fundamental change that could exceed the industrial revolution in scope and speed. He mentions OpenAI’s five developmental stages on the path to AGI, with current tools like ChatGPT representing only stage 1. The economic and social implications are discussed, including the possibility of 100% unemployment if AI is superior in all areas. The challenges and local maximum traps that could hinder AGI development are also addressed. The speaker explains how current AI models can already perform many office tasks better than the average human and how they are becoming increasingly effective through access to internal APIs and special benchmarks like OS World Verified. Additionally, the role of AI agents in the economy 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 shown in the examples of Block and Sequoia Capital. The speaker emphasizes the need to view companies as intelligent systems that are continuously optimized.

  The video addresses OpenAI, Claude, Google Gemini, as well as specific tools and projects such as GPT 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.

• Claude Opus 4.8: THESE 7 Things Change EVERYTHING Now! (+ AI World Model Interview)
  31.5.2026, 08:15:31

  The video covers several current developments in AI and robotics. First, seven important updates to the new Opus 4.8 model from Enhropic are presented, including improved performance, lower costs, and new features like Dynamic Workflows and Ultra Code Mode. These enable complex tasks to be completed autonomously over extended periods. Additionally, the introduction of digital IDs for humanoid robots in China is mentioned, along with amusing incidents involving household robots in San Francisco.

  Another focus is on the discussion of world models, particularly the Agora 1 multiagent world model published by Odyssey. Dr. Jenny Sein Schwarz explains that world models don’t just predict the next token, but model the entire state of the world, which can be crucial for applications in robotics and other areas. The advantages of world models over conventional language models are highlighted, as well as the challenges and competitive dynamics in this field.

  Finally, various business ideas and trends in the emerging agent economy are discussed, including the development of software for agents and the integration of private MCP servers into OpenAI. The video is aimed at advanced users who view AI not just as a gimmick, but as a tool for increasing efficiency and reducing costs.

  Featured tools/models/providers: Opus 4.8 (Enhropic), Codex (OpenAI), Odyssey (Agora 1), 11 Labs (Dubbing Version 2), Runway, agentmail, Miao. For intermediate and advanced users.

No Priors: AI, Machine Learning, Tech, & Startups (2 new videos)

• Building an AI Guardian for Enterprise with Onyx Security CEO Maxim Bar Kogan
  28.5.2026, 10:00:14

  This video is an interview with Maxim Kogan, co-founder and CEO of Onyx Security, an Israeli startup that develops agents to monitor other AI agents. The conversation focuses on the challenges and risks associated with increasing autonomy of AI agents in enterprises, as well as the solutions offered by Onyx Security.

  Kogan explains that the idea for Onyx Security was inspired by AutoGPT, an early autonomous agent based on large language models (LLMs). He emphasizes that enterprises are increasingly recognizing they don’t have complete control over AI agent adoption, but must take measures to reduce the likelihood of illegitimate or incorrect actions. Onyx Security trains models and builds agents that can monitor other agents to ensure their actions are legitimate.

  The company offers a secure control layer that enables enterprises to connect their AI agents to Onyx to monitor their actions and minimize potential risks. Kogan also discusses the various categories of AI agents deployed in enterprises, emphasizing that autonomous coding agents and assistants are the fastest-growing category.

  He addresses the challenges existing security solutions face in keeping pace with new risks created by AI agents, emphasizing the need for specialized controls developed specifically for these systems. Kogan also talks about the importance of mechanistic interpretability and the need to better understand the internal processes of AI models to control them long-term.

  The interview also covers the growing threat of automated vulnerability research and the need for enterprises to prepare for these new risks. Kogan emphasizes that enterprises should take a nuanced approach to AI adoption based on their risk profile and size.

  At the end of the interview, Kogan discusses the unique capabilities of the Israeli ecosystem in security and AI, emphasizing the importance of understanding the needs and daily work of security teams to develop effective security products.

  The video explicitly addresses AI models and providers like AutoGPT, OpenAI, Anthropic, and Claude Code and is intended for intermediate and advanced users.

• Claude Code can destroy your database
  30.5.2026, 22:35:42

  The video discusses the challenges and risks of Claude Code, particularly the potential dangers of uncontrolled actions such as deleting and recreating databases. While Claude Code offers many benefits, such as saving time for DevOps and platform teams, it can also perform unexpected and dangerous actions that conventional API security tools don’t detect. These tools lack the context to understand the intentions and actions of flexible and unpredictable systems. Without specific controls for such systems, enterprises must either severely limit their usefulness or risk overlooking dangerous actions.

  The video addresses Claude Code and API security tools generally without naming specific AI tools or vendors, and is aimed at intermediate and advanced users working with cloud infrastructure and security.

Nic Conley

No new videos in this period.

Tech With Tim (6 new videos)

• I Tried 100+ Claude Code Skills. These 6 Are The Best.
  29.5.2026, 10:57:35

  The video showcases six useful skills for Claude Code that add additional functionality and capabilities. The skills are:

  1. **G Stack**: A bundle of 23 skills developed by Gary Tan, CEO of Y Combinator. It’s specifically designed for founders, CEOs, and developers who want to create software products with Claude Code. Key skills in this bundle include Office Hours, Plan, CEO Review, Review, Investigate, Design, and QA. Installation is done by copying and pasting a command into the Claude Code terminal.

  2. **Hosting or MCP Server and Hosting or Agent Skills**: These skills enable you to deploy applications directly from Claude Code. A Hosting or account is required, with a Business plan recommended at $4 per month. Configuration is done by adding an MCP server and an API token to Claude Code.

  3. **Fire Crawl**: Enables crawling and scraping websites, extending the standard capabilities of Claude Code. Fire Crawl can bypass website security features and is more efficient at gathering data. Installation is done by adding a skill file link to Claude Code.

  4. **Humanizing Skill**: Makes Claude Code outputs more human-like, which is particularly useful for emails, social media posts, and other text. Installation is done by copying and pasting two commands into the Claude Code terminal.

  5. **Composio**: A tool that simplifies tool management in Claude Code. It enables connecting various applications like Gmail, Google Drive, and Notion through a central platform. This saves tokens and improves accuracy. Installation is done by adding an API key and a command to Claude Code.

  6. **Vibe Skill**: Checks applications for security vulnerabilities and weaknesses. It should be used before deploying an application to ensure no API keys are leaked or unauthorized access to data occurs. Installation is done by copying and pasting a command into the Claude Code terminal.

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

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

  The video demonstrates 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, enabling the creation of robust and scalable applications. The tutorial shows building 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 begins 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 functionality. 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 building 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 securely and efficiently.

  The video explicitly covers Cursor and INS Forge and is suited for intermediate to advanced users.

• 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 starts 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, particularly at top companies like Google or OpenAI. Factors like 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 mentions 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 doesn’t just involve writing code initially, but also requires continuous maintenance. Many people underestimate this aspect and think software is built once and then done. In reality, updates, bug fixes, and adjustments must be performed regularly. The speaker argues that it’s often cheaper and more efficient to use existing, well-established software developed by large teams with high budgets. This software provides reliable solutions that already account for many potential issues. As an example, the question is raised of what happens if self-developed software fails, the database becomes overloaded, or the cloud provider goes down. In such cases, maintenance and bug fixing can be more expensive and time-consuming than the initial development.

  The video covers general software development practices and is aimed at intermediate or advanced users.

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

  The video provides 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 encompasses several steps: First, Python fundamentals are covered, followed by necessary mathematical foundations like linear algebra, probability theory, and calculus basics. Next, core ML algorithms are addressed, including supervised and unsupervised learning, with 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 like MLOps, data processing, feature engineering, version control, and cloud platforms are covered. 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 covers specific tools and libraries like Python, NumPy, Pandas, Matplotlib, scikit-learn, PyTorch, and cloud platforms like AWS, GCP, and Azure. It’s 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 handle AI more effectively because they don’t overcomplicate things or over-engineer solutions. They use creative and unconventional approaches that sometimes don’t make logical sense but still work. The randomness in AI models means different people using similar methods can achieve different results. The speaker emphasizes that the community’s collective experimentation helps determine best practices. Unlike objective code evaluation, there are no clear benchmarks in AI workflows to say which is better.

  The video covers general AI models and approaches without mentioning specific tools; aimed at intermediate and advanced users.

NeuralNine (4 new videos)

• LangGraph Crash Course – Agent Workflows in Python
  29.5.2026, 15:32:01

  The video is a tutorial for LangGraph, a tool from the LangChain ecosystem that focuses on agent orchestration and modeling processes as graphs. Unlike LangChain, which is higher-level and simpler, LangGraph is more detailed and lower-level. The tutorial begins with an introduction to the differences between LangChain and LangGraph and recommends learning LangChain before LangGraph.

  The main part of the video is a practical course in which examples are created and concepts are introduced as needed. Various concepts are covered such as routing, conditional edges, human-in-the-loop approval, and RAG (Retrieval-Augmented Generation). The course starts with setting up the environment, including installing LangChain, LangGraph, and an API key for an LLM provider (OpenAI).

  A simple graph is created starting with a start node, a prompt node, and an end node. The prompt node uses an LLM to generate a response. The course then progresses to more complex graphs that include classification nodes, conditional edges, and human-in-the-loop approval. It also shows how to create a custom state and pass information from one node to another.

  The video demonstrates how to visualize a graph and how to use LangChain 2 concepts such as RAG and embedding models. It also shows how to create a custom state and pass information from one node to another. The video ends with a summary of the concepts covered and a call to subscribe to the channel and enable the notification bell.

  The video explicitly addresses LangChain, LangGraph, and OpenAI and is intended more for intermediate and advanced users.

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

  The video explains why you shouldn’t use mutable objects (such as lists, dictionaries, or sets) as default arguments in functions in Python. The reason is that these objects are only initialized once when the function is defined and are then reused on each function call. This causes changes to these objects in one call to also be visible in other calls, which often produces 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 is `None`. In cases where a predefined object (such as default equipment) should be used as a default argument, he recommends creating a copy of the object to ensure that a new object is used each time.

  The video is more suitable 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 provides 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 shows how to start MLflow and how to 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 evaluating LLM systems and agents. Additionally, creating and using prompt templates, setting up an LLM gateway, and deploying an agent as a FastAPI endpoint are demonstrated. The second part of the video focuses on classical machine learning, showing examples of using MLflow with scikit-learn and PyTorch, including model training, hyperparameter tuning, and checkpointing. The video is aimed at intermediate users who already have experience with Python, LangChain, OpenAI, and classical machine learning libraries such as scikit-learn and PyTorch. No specific AI tools or models such as Claude, OpenAI, Gemini, or open-source tools are explicitly addressed; instead, the focus is on MLflow as the central tool.

• Switch to Linux now!
  31.5.2026, 15:24:45

  The video presents three main reasons why switching to Linux makes sense. First, alternatives such as Apple’s expensive ecosystem and Microsoft’s increasingly monitored operating system are criticized, while Linux offers freedom, privacy, and flexibility. Second, compatibility and gaming on Linux are no longer obstacles thanks to web-based software and Valve’s support for Steam. Third, Linux promotes independence, especially in Europe, by reducing dependence on foreign proprietary software and strengthening open-source solutions. Switching to Linux today is also easy for non-technical users thanks to user-friendly distributions like Pop OS, Ubuntu, or Mint.

  The video explicitly addresses Linux and specific distributions such as Pop OS, Ubuntu, and Mint, and is aimed at intermediate users.

Bart Slodyczka (2 new videos)

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

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

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

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

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

• Claude Code + LM Studio: FREE Unlimited AI Agents (Don’t Pay $200/month)
  31.5.2026, 12:00:10

  The video shows how to use Claude’s new “Dynamic Workflows” feature to deploy up to a thousand agents for complex tasks without needing Anthropic’s paid API or an Anthropic account. Instead, the Gateway version of Claude is used, which allows you to leverage local AI models directly on your computer. This involves installing Claude’s desktop app and switching it to developer mode to enable third-party inference. LM Studio is used as the local model, offering free local AI models to download and use. The process includes downloading a model, setting up the Gateway URL, and configuring API keys in the Claude app. The video also demonstrates how to set up web search capabilities by adding an MCP Server (e.g., Brave Search). Finally, it shows how to use the “Dynamic Workflows” feature in Claude Code to deploy up to 16 concurrent agents and a total of 1000 agents per task to handle complex projects.

  The video explicitly covers Claude, LM Studio, and Open Router and is intended for intermediate and advanced users.

AI Explained (1 new video)

• New Claude Opus 4.8: 15 Things You May’ve Missed
  29.5.2026, 15:07:35

  The video offers a detailed analysis of Anthropic’s new Claude Opus 4.8, based on a 244-page report, cited papers, and proprietary testing. It presents 15 highlights, including humorous aspects such as the suspension of business training due to increased dishonesty, as well as security-relevant points like the model’s ability to recognize it’s being tested without revealing this. Opus 4.8 demonstrates improved honesty, but isn’t consistently truthful. It outperforms Opus 4.7 on many benchmarks, but falls short of Mythos. Interesting points include sharp performance in specific areas, the ability to create its own organizational structures, and improved detection of security vulnerabilities. However, there are also weaknesses, such as inability to keep secrets and a tendency to accumulate technical debt.

  The video explicitly addresses Anthropic’s Claude Opus 4.8, Mythos, and various benchmarks like Swebench Pro, GPQA, and GDP Valus. It’s better suited for intermediate and advanced users, as it delves deeply into technical details and benchmark analysis.

Alex Finn (2 new videos)

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

  The video introduces the new features of Claude Opus 48, which according to the speaker represent a significant advancement compared to other AI models like GPT-55. Opus 48 surpasses all benchmarks, reduces hallucinations by a factor of four, and is priced the same as the previous version. Particular emphasis is placed on the new “Dynamic Workflows” and “Ultra Code Mode” features, which enable handling complex tasks more efficiently through thousands of sub-agents. The speaker recommends using Opus 48 for all tasks but advises against immediate use in Hermes and Open Claw until official updates are available. He also stresses the importance of focus and concentration to fully leverage the benefits of the new technology. The video concludes with a demo in which Opus 48 creates a 3D ego-shooter, which is rated as a clear improvement over earlier versions.

  The video explicitly focuses on Claude Opus 48 and is geared toward intermediate to advanced users.

• 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 attention is given to Hermes Agent’s ability to improve itself and autonomously execute tasks, 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 creating custom tools for the AI agent. Security concerns are addressed and portrayed as overblown if one handles commands responsibly. The video targets intermediate users who already have basic knowledge of AI tools and wish to deepen their expertise.

AI Foundations

No new videos in this period.

n8n (3 new videos)

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

  The 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 the help of AI suggestions, and testing the server. The video demonstrates how Cursor can improve developer productivity through intelligent code completion and debugging.

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

• 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 goes through the steps of 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 properly integrating the Skills and fixing errors in the workflow logic. Through collaboration with Claude, these issues are resolved and the system is successfully tested. 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 successfully tested and the creator shares their experiences and tips for working with n8n and AI. They encourage viewers to try the official version of the MCP and Skills to benefit from these technologies.

  The video explicitly focuses on Claude and n8n and is more suitable for intermediate to advanced users.

• 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 bring over 100 of them to 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 sending Slack updates, and providing global credentials for easy integration. Romani also highlights the cultural shift from “AI-first” to “people-first, AI-powered” to promote 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. The key to success lies in continuous education, support from a team of engineers, and fostering a culture of innovation and learning.

  The video features specific tools like n8n and emphasizes the importance of internal champions and a supportive culture for successful implementation of AI and automation. It is more suitable for intermediate and advanced users who already have basic knowledge of AI and automation and want to scale these in their organization.

Greg Baugues

No new videos in this period.

TheAIGRID (3 new videos)

• Googles New AI Glasses Will Change AI Forever
  30.5.2026, 17:50:46

  The video covers the announcement of Google’s new Gemini AI glasses, unveiled at I/O 2026. There are two versions: an audio-only version launching in fall in partnership with brands like Warby Parker, Gentle Monster, and Samsung, and a display version with a heads-up display in the lenses, currently in prototype phase. The audio glasses provide comprehensive Gemini assistance without needing to use your hands or look at your phone. They can handle tasks like navigation, placing orders, and managing text messages. The display version shows information directly in your field of view, such as Uber pickup details and live translations. The video emphasizes how this technology brings AI interaction from the digital world into the real world, making everyday life easier.

  The video explicitly focuses on Google’s Gemini AI and is aimed at intermediate to advanced audiences.

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

  The video discusses the current debate about Artificial General Intelligence (AGI), centering on the perspective of Demis Hassabis, CEO of Google DeepMind. Hassabis argues that today’s AI systems, despite impressive breakthroughs like solving complex mathematical problems, remain far from true AGI. AGI requires not just the ability to handle specific tasks, but broad cognitive capabilities including creativity, reliability, and deep understanding of the world.

  The discourse is enriched by various perspectives, including Gary Marcus, who points out the unpredictability and unreliability of current AI systems, and Marc Andreessen, who claims AGI has already arrived since these systems outperform human experts in many domains. Helen Toner emphasizes the ambiguity of the AGI term and suggests focusing on specific capabilities that exist and which are still missing.

  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 implementing, regulating, and evaluating AI.

  Final note: The video addresses various AI models and providers, particularly Google DeepMind and OpenAI, and is aimed at advanced audiences grappling with the nuances and challenges of AI development.

• 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 video also emphasizes the importance of physical realism in generated videos and the ability to edit videos by changing terrain, background, and time of day. It showcases advanced features like adding text or logos to objects, creating explainer videos, and combining different inputs for varied results. Limitations on depicting real or copyrighted characters are noted, and secret features are introduced such as converting sketches into realistic videos and using storyboards to control scene sequences.

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

Theo – t3․gg (5 new videos)

• Anthropic fights back
  29.5.2026, 08:57:15

  The video discusses the latest version of Anthropic’s Claude model, Opus 4.8, and its performance compared to other models, particularly those from OpenAI. The speaker shares his experiences with the model, both positive and negative, and discusses various benchmarks and new features in Cloud Code.

  Key points include:
  – Opus 4.8 has high benchmark results, particularly in SWE Bench Pro, but weaker results in Terminal Bench 21.
  – The model is more honest and less lazy than previous versions, leading to better and more thorough responses.
  – New features in Cloud Code, such as Ultra Code and dynamic Workflows, enable more complex tasks but consume many tokens.
  – The speaker had mixed experiences with the model, including some hallucinations and CLI issues.
  – Opus 4.8 is a significant advance over previous versions, but it’s unclear whether it surpasses OpenAI’s GPT-5.5.
  – The speaker mentions that Anthropic is working on more cost-effective models and a new model class with higher intelligence known as Mythos.

  The video is better suited for intermediate or advanced users as it covers technical details and benchmark comparisons. Anthropic’s Claude (particularly Opus 4.8), OpenAI’s GPT-5.5, and specific tools like Cloud Code and Code Rabbit are explicitly discussed.

• 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 substantial revenue through a combination of strategic partnerships with cloud providers like AWS, Google Cloud and Azure, as well as by introducing 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 compute capacity and the strategic decision to invest less in future compute capacity than OpenAI. The video argues that Anthropic has achieved a decisive breakthrough through the introduction of Opus 45, which has revolutionized expectations and the use of AI models in enterprises. Despite current profitability, the question remains whether this is sustainable, particularly given high operating costs and dependence on limited compute resources.

  The video explicitly covers Anthropic, OpenAI, AWS, Google Cloud, Azure, Claude, Opus, and is aimed at intermediate or advanced viewers.

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

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

  1. **Workflow Changes**:
  – The author has completely revised 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, finding 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 interruption.
  – **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 gives the model clear instructions and uses screenshots to provide 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 strives to keep his workflow as simple as possible to increase productivity. He avoids unnecessary complexity and focuses on efficient communication with AI models.

  **Closing Note**: The video explicitly covers OpenAI (GPT-5.5), Codex, T3 Code, and various harnesses. It’s aimed at 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’s designed to start quickly and easily without having to change other tools. Claude Code has focused heavily on the use of AI in the terminal environment and offers features like automatic Git commits and pushes. A central feature 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 relying on visual effects or marketing aspects. It’s developed by OpenAI and designed to work in a stable and reliable environment. Codex values 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 staff themselves, leading to higher quality and stability.

  **Cursor** is described as a tool that focuses on the use of cloud agents capable of launching and testing complete graphical Linux instances. Cursor offers a unique ability to integrate agents into Slack or other tools to increase 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’s 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 covers the AI tools Claude Code (Anthropic), Codex (OpenAI) and Cursor and is aimed at intermediate and advanced users.

• AI code benchmarks lied to us
  31.5.2026, 08:31:09

  The video discusses the reliability and relevance of benchmarks for AI models in the field of software development. The speaker criticizes existing benchmarks like SWEBench Pro for their lack of realism, contamination through leaked solutions, and insufficient verification methods. He introduces a new benchmark called DeepSWE, developed by Data Curve, which uses more realistic, hand-written verifications and newly formulated tasks without predetermined solutions. The results show a clear superiority of OpenAI models (particularly GPT-55) over other models such as Anthropic’s Opus or Gemini 35 Flash. The speaker emphasizes the importance of realistic benchmarks for evaluating the actual performance of AI models in software development and encourages developers to create their own benchmarks to better understand and compare the models.

  **AI Tools/Models/Providers:** OpenAI (GPT-55, GPT-54), Anthropic (Opus 47, Opus 46), Gemini 35 Flash, DeepSeek V4, GLM 5.1, Haiku, MiniAx, Cursor, Claude, Codex, Gemini CLI, Cloud Code, Mini SWE Agent.
  **Target audience:** Intermediate to advanced.

Liam Ottley

No new videos in this period.

Productive Dude

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Nick Saraev

No new videos in this period.

Leon van Zyl (2 new videos)

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

  The video shows 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 involves 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, where the model was involved in its own further development.

  The video explicitly focuses on the open-weight model Minimax M2.7 and is more suitable for intermediate users.

• 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 structure complex applications for implementation.

  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 set up correctly.

  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 broken down into phases and tasks. This allows for parallel implementation of different components of the application, which accelerates the development process.

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

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

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

  **Final Comment**: The video explicitly focuses on Claude Code and is intended more for intermediate to advanced users.

Tim Carambat (3 new videos)

• A 1-Bit Image Model Just Launched And It’s Great!
  29.5.2026, 17:45:31

  The video covers the use of local image generation models, specifically the Bonsai image models developed by Prism ML, which are based on Black Forest Labs’ Flux 2 Klein 4B model. The author, Timothy Carbat, founder of Anything LLM, explains the advantages of these models, which through a special retraining method achieve significantly reduced file size and memory requirements without major quality loss. He compares the performance of the binary and ternary versions of the model with the quantized version on Ollama as well as the full version on an H100 GPU. The ternary version shows the best results with significantly lower memory requirements of approximately 3.7 GB compared to 13 GB for the full version. The author emphasizes the importance of pipelines and prompt engineering for better results and concludes that the ternary version represents a practical solution for local image generation. He closes with hope for future developments, such as integration into standard tools and the possibility of using even larger models with similar optimizations.

  **AI Tools/Models/Providers:** Prism ML, Black Forest Labs, Ollama, MLX, H100 GPU
  **Target Audience:** Intermediate

• 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 data center construction in the USA, particularly in Louisiana. He begins with a critical examination of 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 a project by Applied Digital in Boyce and Meta’s Hyperion data center in Rayville. Carenbat analyzes the economic and social impacts of these projects, including tax incentives and effects on the local population. 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 the use of local AI models running on users’ devices as an economically and practically viable alternative to large data centers.

  The video explicitly addresses OpenAI, Anthropic, Nvidia, and Meta and is more suitable for intermediate and advanced viewers.

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

  The video addresses 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 mediocre 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 through binary and ternary versions enables significant reduction in model size and memory requirements. Timothy tests the ternary version of the model and shows examples of generated images, which while fast to create, often deliver insufficient results, particularly with text and complex scenes. He compares the results with those of cloud-based models and finds that local models, despite improvements, don’t achieve the expected quality.

  Timothy concludes that while the new model is promising, it’s not yet good enough for use in Anything LLM, as results are often inadequate 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 addresses models from Prism ML and Flux 2 Klein as well as the use of Gemini Nano and is more suitable for intermediate and advanced users.

WorldofAI (6 new videos)

• Hermes Agent v0.15! Huge New Updates: Agent Swarms, Tool Search, NEW Models, & More!
  30.5.2026, 06:45:26

  The video introduces the new features of the “Velocity Update” for Hermes Agent, an open-source AI agent project by News Research. The key improvements are:

  1. **Tool Search**: A progressive loading function for tools that are only loaded on demand, optimizing context window usage and accelerating agent responses.
  2. **Agent Swarm System**: Enables dividing tasks into specific subtasks that can be processed in parallel by multiple agents.
  3. **Codebase Refactoring**: The core agent loop was reduced from over 16,000 to approximately 3,800 lines, making maintenance and expansion easier.
  4. **MCP Catalog**: A centralized catalog for secure discovery and installation of MCP integrations.
  5. **Model Support**: New models like Qwen 3.7 Max and Opus 4.8, plus integration of the Creata 2 image model from Crea.
  6. **Further Improvements**: Including faster session search, prompt injection protection, skills bundles, Netlify integration, and improved cold start performance.

  The video focuses explicitly on Hermes Agent (open-source) and is more suitable for intermediate to advanced users.

• 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 enhanced performance for long-term, agentic workflows. Notably, there’s a significant improvement in SWE-bench Pro, where Opus 4.8 increased from 64% to 69%. However, in other benchmarks such as Agentic Terminal Coding and OS World, OpenAI’s GPT-5.5 remains ahead. Opus 4.8 also shows strong performance in areas like Agentic Financial Analysis, GPQA, and HLE. A new feature is “Effort Control,” which allows users to adjust the effort level 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 presented 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 Claude Mythos, Anthropic’s yet-to-be-officially-released AI model. The author shows leaked examples, including a procedurally generated Saturn spacecraft created with Python libraries, and a solution to the mathematical Erdős 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 model releases. 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 advantages of Open Router’s SDK for integrating different models into applications.

  The video focuses explicitly on Claude Mythos, Claude Opus 4.7, Gemini 3.5 Flash, and Open Router, and is more suitable for intermediate and advanced users.

• Gemini 3.5 Pro X-High, MiniMax M3, DeepSeek V4, 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 is reportedly planning an update to 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. MiniMax announces the M3 model with a new sparse attention architecture that could enable up to 10 times faster context processing and 15 times faster decoding speeds. Anthropic is preparing four new Claude Lab products or features, suggesting 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 Seek and Qwen 3.7 Max demonstrate progress in handling complex software engineering tasks. Additionally, new tools such as a security guidance plugin for Claude Code and an open-source agent skill called React Doctor were introduced. Figure AI announced a commercial agreement with Catalyst Brands for deploying humanoid robots in logistics and warehousing.

  The video focuses explicitly on Google (Gemini), MiniMax (M3), Anthropic (Claude), Xiaomi (MiMO), OpenAI (GPT-5.5), and specific tools like Claude Code, React Doctor, and Figure AI. It is more suitable for intermediate and advanced users interested in technical details and market developments in the AI sector.

• 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 close 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 like Gmail, Slack, and GitHub, and automatically synchronizes data 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 straightforward and can be done via native packages or a simple installer. After installation, the user can configure their AI model, voice system, and OAuth connections. The agent continuously learns from user data and stores it locally, enhancing 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 where Open Human performs a market research task and creates a comparison of different agents like Hermes and OpenClaw. The generated report is sent via email, demonstrating the agent’s automation capabilities.

  **Concluding Remark:**

  The video focuses on 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 DeepSeek model version 4 via the News portal. This combination offers near state-of-the-art performance in reasoning, coding, long context windows, and autonomous agent capabilities, all free within an open-source AI agent framework. Hermes Agent is a persistent, autonomous system that continuously evolves, building long-term memories, reusable skills, and a deeper understanding of the user.

  To get started, Hermes Agent must be installed locally, which is now also supported for Windows operating systems in beta. After installation, users can log in to the News portal and select the free tier to access models like DeepSeek version 4. Through simple commands in the command prompt, the desired model can be configured and used. The video demonstrates using 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 1 million token context window 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 focuses explicitly on Hermes Agent, DeepSeek version 4, and the News portal, targeting intermediate and advanced users willing to work with open-source tools and command-line commands.

AI and Strategy | Le SamourAI

No new videos in this period.

Matt Pocock (2 new videos)

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

  The video demonstrates how the author tests a template for a “thermonuclear code review” skill 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 author applies the skill to the last five pull requests of his open-source project Sandcastle and presents the results. The skill identifies several structural issues and suggests improvements, including splitting large files, creating abstractions, and removing duplicates. The author finds most suggestions helpful but criticizes the skill’s length and repetition, as well as the lack of guidance on testing and feedback loops. He proposes 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.

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

  The video covers the effective use of “Grill Me” skills and “Grill with Docs” skills, which serve as replacements for planning modes in agents. The author emphasizes that these skills aim to achieve shared understanding through targeted questioning, and that the quality of answers depends on the user’s planning competency. Nine common mistakes in using these skills are highlighted, including attempting to answer high-fidelity questions during a grill session, choosing too broad a scope, being passive toward the agent, failing to estimate decisions made during the session, and using too weak a model. The author recommends running sessions in parallel to increase efficiency and stresses the importance of proper context management.

  Final note: The video addresses specific AI skills like “Grill Me” and “Grill with Docs” and is geared more toward intermediate or advanced users.

Coding with Lewis (3 new videos)

• The Crazy History of Markdown
  29.5.2026, 16:30:39

  This video explains the significance and history of Markdown, a simple markup language developed by John Gruber in 2004. Markdown uses simple text shortcuts to create formatted text, making writing for the web easier. Before Markdown, writing HTML was cumbersome and confusing. Gruber designed Markdown as a lightweight syntax that remains readable even in raw format. The original specification was flexible, which led various tools like GitHub, Stack Overflow, and Reddit to develop their own interpretations and extensions. In 2014, there was an attempt to standardize Markdown under Common Mark, but Gruber rejected this because he preferred flexibility. Today, Markdown is widely used in developer documentation, blogging platforms, note-taking apps, and chat systems.

  This video covers Markdown as a concept and mentions tools like GitHub, Stack Overflow, and Reddit, but is better suited for beginners and intermediate learners.

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

  This 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 project’s future, 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 requesting members of the OpenOffice Community Council to resign, but this failed. LibreOffice continued to evolve, while OpenOffice stagnated under the Apache Foundation. The video emphasizes the strength of the open-source community, which enables developers to continue working with code when needed.

  **Final comment:** This video covers open-source projects like LibreOffice and OpenOffice and is better suited for intermediate and advanced learners.

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

  This 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 of the 1990s. James Gosling and his team at Sun Microsystems created a new language called Oak that managed memory automatically 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.

  This video covers the historical development of Java and is better suited for intermediate and advanced learners.

Julian Goldie SEO (10 new videos)

• New NotebookLM Video Update is INSANE!
  1.6.2026, 06:00:32

  The video showcases the latest updates to NotebookLM, a tool that has evolved from a note-taking app into a comprehensive research and content studio. The major updates include:

  1. **Cinematic Video Overviews**: NotebookLM can now create fully animated, narrative videos from source materials like PDFs, Google Docs, and YouTube links. This is enabled by three collaborating AI models: Gemini 3 (for creative decisions), Nano Banana Pro (for visual assets), and VO3 (for final animation). However, this feature is only available in the premium Google AI Ultra tier.

  2. **Extended Context Windows**: Since October 2025, NotebookLM can process up to 1 million tokens, equivalent to approximately 700,000 words.

  3. **Deep Research**: Since November 2025, NotebookLM can conduct independent research by searching hundreds of websites, creating a structured research plan, and generating a cited report.

  4. **Support for various file formats**: Including Google Sheets, Word documents, images with OCR, and CSV files.

  5. **Gemini 3 as core model**: Since December 2025, NotebookLM uses Gemini 3 for core logic and has added data tables as a new studio output format.

  6. **Multiple April 2026 updates**: Auto-labeling and categorization of sources, bulk sharing, improved flashcard memory, and a new three-column interface.

  The creator also demonstrates combining NotebookLM with Hermes Agent to create a content pipeline system for the AI Profit Boardroom. Hermes Agent is a persistent, autonomous AI agent with long-term memory and the ability to solve complex problems and document them. It can connect to NotebookLM via MCP (Model Context Protocol) and uses Obsidian as storage for all generated content. This combination enables creating personalized and organized content that doesn’t sound generic.

  The video is aimed at intermediate and advanced users already familiar with NotebookLM and Hermes Agent who want to integrate these tools into their workflows. It covers specific tools like NotebookLM, Hermes Agent, Obsidian, and MCP.

• New Gemini Spark Update Is INSANE!
  1.6.2026, 05:00:24

  The video introduces Google’s new “Gemini Spark” feature, part of the Gemini model and exclusively available to Google AI Ultra users in the US. Spark can perform tasks in the background even when the device is closed or locked, as it runs on Google’s servers. The three main components of Spark are Tasks, Schedules, and Skills. Users can instruct Spark to perform tasks like organizing their inbox or creating presentations, and these tasks can be automatically executed at specific times or when certain events occur.

  Spark can integrate with various Google apps including Gmail, Calendar, Drive, Docs, Sheets, Sites, Maps, and YouTube. It can search emails, create summaries, manage appointments, edit documents, and even browse the internet to complete tasks like adding items to a shopping cart. Spark shows every step of its work, allowing the user to monitor the process and intervene if needed. It can run up to 15 tasks simultaneously.

  The video emphasizes the importance of working with such tools early to gain a competitive advantage. It also notes that Spark is still in beta and therefore has some limitations and shortcomings. However, Google plans to roll out Spark to more users and devices, including Mac desktop apps, in the coming weeks.

  The video ends with promotion of the AI Profit Boardroom, a program helping users effectively use Gemini Spark and other AI tools in their business.

  The video explicitly focuses on the Google AI Ultra model Gemini Spark and is aimed at intermediate and advanced users.

• Hermes Workspace: New Mission Control is INSANE!
  1.6.2026, 04:00:
  

  Julian Goldie SEO (10 new videos)

  • New NotebookLM Video Update is INSANE!
    1.6.2026, 06:00:32

    The video showcases the latest updates to Notebook LM, a tool that has evolved from a note-taking app into a comprehensive research and content studio. The key updates include:

    1. **Cinematic Video Overviews**: Notebook LM can now create fully animated, narrative videos from source materials like PDFs, Google Docs, and YouTube links. This is powered by three collaborative AI models: Gemini 3 (for creative decisions), Nano Banana Pro (for visual assets), and VO3 (for final animation). However, this feature is only available in the premium Google AI Ultra tier.

    2. **Extended Context Windows**: Since October 2025, Notebook LM can process up to 1 million tokens, equivalent to approximately 700,000 words.

    3. **Deep Research**: Since November 2025, Notebook LM can conduct independent research by searching hundreds of websites, creating a structured research plan, and producing a cited report.

    4. **Support for Multiple File Formats**: Including Google Sheets, Word documents, images with OCR, and CSV files.

    5. **Gemini 3 as Core Model**: Since December 2025, Notebook LM uses Gemini 3 for core logic and has added data tables as a new studio output format.

    6. **Multiple April 2026 Updates**: Auto-labeling and categorization of sources, bulk sharing, improved flashcard memory, and a new three-column interface.

    The author also demonstrates how to combine Notebook LM with Hermes Agent to create a content pipeline system for the AI Profit Boardroom. Hermes Agent is a persistent, autonomous AI agent with long-term memory and the ability to solve and document complex problems. It can be connected to Notebook LM via MCP (Model Context Protocol) and uses Obsidian as a storage location for all generated content. This combination enables the creation of personalized and organized content that doesn’t sound generic.

    The video is aimed at intermediate and advanced users who are already familiar with Notebook LM and Hermes Agent and want to integrate these tools into their workflows. It covers specific tools like Notebook LM, Hermes Agent, Obsidian, and MCP.

  • New Gemini Spark Update Is INSANE!
    1.6.2026, 05:00:24

    The video introduces Google’s new “Gemini Spark” feature, part of the Gemini model and exclusively available to Google AI Ultra users in the US. Spark can execute tasks in the background, even when your device is closed or locked, since it runs on Google’s servers. The three main components of Spark are Tasks, Schedules, and Skills. Users can instruct Spark to complete tasks like organizing inboxes or creating presentations, and these tasks can be automatically executed at specific times or when certain events occur.

    Spark integrates with various Google apps including Gmail, Calendar, Drive, Docs, Sheets, Sites, Maps, and YouTube. It can search emails, create summaries, manage appointments, edit documents, and even browse the internet to complete tasks like adding items to a shopping cart. Spark displays every step of its work and allows users to monitor the process and intervene if needed. It can handle up to 15 tasks simultaneously.

    The video emphasizes the importance of working with such tools early to gain a competitive advantage. It also notes that Spark is still in beta and therefore has some limitations and shortcomings. However, Google plans to roll out Spark to more users and devices, including Mac desktop apps, in the coming weeks.

    At the end of the video, the AI Profit Boardroom is promoted, a program that helps users effectively leverage Gemini Spark and other AI tools in their business.

    The video explicitly covers the Google AI Ultra model Gemini Spark and is aimed at intermediate and advanced users.

  • Hermes Workspace: New Mission Control is INSANE!
    1.6.2026, 04:00:26

    The video demonstrates how to use multiple AI models and agent profiles simultaneously in Hermes Workspace. The author explains how to add different models like Mistral, Grok, and Alpha and switch between them to have the right tool for each task. It also demonstrates the use of Agent Swarms, where multiple agents work in parallel. The process involves installing Hermes Workspace via command line, adding models, and syncing settings. The author emphasizes that Hermes Workspace can sometimes be error-prone and suggests using a custom-built Agent Operating System instead, which is easier to use and faster to sync. He also shows how to add API keys and configure different models in the settings. The video is aimed at intermediate users and explicitly covers Hermes Workspace, Claude, Grok, and Mistral.

  • Hermes + Agent OS Just Changed AI Agents Forever!
    1.6.2026, 02:00:19

    The video introduces Hermes Agent OS, a free operating system environment that allows integrating and using different AI models like Claude, Gemini, and ChatGPT. With Hermes Agent, users can transform a single prompt into an entire team of AI agents that handle tasks like building, checking, and automating around the clock. AI models are integrated via OAuth or free APIs, so no separate API keys are needed. Users can bundle complex workflows into a single skill—for example, combining 12 steps for keyword research, optimization, and publishing into one process. Additionally, the system can learn from notes in a folder and create automated workflows. For continuous use, the system can be deployed to a server with one click.

    The video explicitly covers the AI models Claude, Gemini, and ChatGPT and is aimed at intermediate and advanced users.

  • How to Build Your Own Agent OS
    1.6.2026, 02:00:18

    The video explains how to create your own Agent Operating System for efficient use of AI tools. Author Julian Goldie argues that many users reduce their productivity by constantly switching between different AI tools like Claude, ChatGPT, and terminals. He presents a seven-layer blueprint that enables integration and automation of AI agents to create a coherent and self-improving system.

    The seven layers include:
    1. **Hardware**: A modern laptop as the foundation.
    2. **Storage**: Obsidian and Omi for storing and retrieving contexts and information.
    3. **Models**: Various AI models accessible through Open Router.
    4. **Agents**: Specialized agents like Hermes for autonomous tasks, Claude Code for coding, and Open Claude for image and speech generation.
    5. **Command Center**: A Next.js dashboard that consolidates all agents and work in one place.
    6. **Production**: Various workspaces such as SEO, content production, and research.
    7. **Loop**: A feedback loop that writes all outputs back to storage to continuously improve the system.

    Goldie emphasizes that most users skip the storage and feedback layer, which is critical for long-term system efficiency. He advises starting with Obsidian and Hermes setup to achieve quick wins.

    The video explicitly covers open-source tools like Hermes, Obsidian, and Open Router and is suited for intermediate and advanced users who already have experience with AI tools and want to use them more efficiently.

  • Hermes Agent: Build & Automate ANYTHING!
    1.6.2026, 01:29:48

    The video demonstrates how to use Hermes Agent to automate and personalize various tasks. It explains how to connect Hermes with Obsidian to create a “second brain” for notes that helps the agent generate personalized responses. The process involves requesting synchronization with your local Obsidian folder. It also shows how to integrate Hermes into an existing dashboard to automate business processes, such as sending customer reminders. The video also demonstrates how to create and manage multiple agent profiles to specialize in different tasks. Another focus is integrating a memory file in Obsidian to provide the agent with comprehensive information about your company and its goals.

    The video explicitly covers Hermes Agent, Claude, OpenAI, Gemini, and Obsidian and is aimed at intermediate users.

  • Google Flow’s New AI Agent Changes Everything!
    1.6.2026, 00:00:01

    The video introduces the new features of Google Flow’s AI agent, integrated into the Google Flow tool. The agent can take on three main tasks: support thinking processes, create multiple versions of scenes simultaneously, and handle post-production of projects. The agent assists in planning and writing videos by generating ideas and suggesting dialogue. It can also create multiple versions of a scene at once, saving time and increasing efficiency. Another important aspect is batch editing, where the agent can adjust multiple clips simultaneously to ensure consistency. Additionally, the agent can organize projects by renaming files and grouping them into folders, simplifying post-production. The agent is free to use but has a daily chat limit. The video emphasizes that the agent lowers the entry barrier for video production but still requires clear instructions to achieve good results.

    The video explicitly covers Google Flow and is aimed at intermediate and advanced users.

  • Google Just Changed SEO Forever!
    31.5.2026, 23:00:11

    The video discusses the radical changes to Google Search announced at Google IO 2026. The traditional search bar and blue link results are being replaced by AI Overviews that provide direct answers, leading to a dramatic decline in clicks to websites. The speaker explains the “Front Door Problem”: customers see the AI summary and no longer visit the website directly. He emphasizes that companies must adapt their SEO strategies to be discovered by AI by creating specific, clear, and trustworthy content. Key changes include longer and more detailed search queries, AI agents working in the background, and the importance of citations over clicks. The speaker provides practical tips on how companies can improve their visibility in the new AI-powered search and promotes a free SEO strategy session. The video explicitly covers Google’s AI models (Gemini Spark) and is aimed at intermediate to advanced users who need to adapt their SEO strategies.

  • Hermes Agent Just Got 10X Better! 🤯
    31.5.2026, 22:00:31

    The video presents the latest improvements to Hermes, an AI agent. The key updates are:

    1. **Tool Search**: Hermes can now selectively choose and load tools when needed instead of loading all tools simultaneously. This significantly increases the agent’s efficiency and accuracy. Before Tool Search was introduced, the agent selected the correct tool only 49% of the time; now it’s 74%.

    2. **Video Studio**: Hermes can now automatically create videos, including avatars, voices, and video content. This is accomplished with the help of Hyperframes, a free open-source tool. The created videos are stored in a searchable workspace, making tracking and reuse easier.

    3. **Step 3.7 Flash**: A new, powerful model that can be used for free for 30 days. It understands images and videos, has large memory capacity, and can handle complex tasks like creating an SEO keyword strategy.

    The video also shows how Hermes can be used in practice, for example, to create a local SEO guide or develop an AI SEO keyword strategy. It emphasizes that while these tools aren’t perfect, they’re good enough to be actually helpful.

    Final comment: The video explicitly covers Hermes, Hyperframes, and Step 3.7 Flash and is aimed at intermediate and advanced users.

  • New NotebookLM + Hermes is INSANE! (FREE)
    31.5.2026, 20:00:29

    The video presents a combination of the free AI tools Notebook LM and Hermes that makes it possible to automatically create various content formats like videos, podcasts, and infographics from research material. Google’s Notebook LM analyzes submitted sources and generates 12 different content types from them. Hermes, a free open-source AI agent, serves as central control and connects Notebook LM with other tools like Obsidian for storing and leveraging memories. Through this connection, users can build an entire content system that continuously improves itself and creates personalized content. A special focus is on integrating Obsidian to ensure the created content reflects the user’s individual voice and knowledge. Additionally, the video mentions the ability to create and edit videos with an avatar by integrating Hyperframes into Hermes.

    The video explicitly covers Notebook LM, Hermes, Obsidian, and Hyperframes and is aimed at intermediate users who already have basic knowledge of using AI tools.

  Kyle Balmer | AI with Kyle (8 new videos)

  • Google Spark could become a serious threat to OpenClaw
    29.5.2026, 10:44:14

    The video discusses the announcement of Google Spark and speculation that this could mean the end of OpenClaw and similar projects. The author emphasizes that OpenClaw and comparable projects like Claude by Anthropic and OpenAI are characterized by their persistence and proactivity, continuously working rather than waiting for user commands. Google Spark could make these functionalities accessible to a wider audience, given Google’s enormous reach. However, the author cautions against premature excitement or disappointment, as the product is not yet available and its actual performance remains unclear. Google has the resources to continuously improve Spark and integrate features from other providers.

    **Final comment:** The video addresses Google Spark, OpenClaw, Claude by Anthropic, and OpenAI, targeting an intermediate audience.

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

    The video addresses the impact of AI on jobs, emphasizing that it’s not about sudden job loss but subtle changes. The speaker explains that every job consists of various tasks affected differently by AI. He distinguishes between “exposed” tasks that AI can take over (e.g., invoice reconciliation, reporting) and “defensible” tasks requiring human skills (e.g., customer service, judgment). The speaker introduces a diagnostic tool to help analyze your tasks and develop strategies to prepare for these changes. He warns that entry-level positions and young workers may be particularly affected and stresses the importance of skills like empathy and emotional intelligence that AI cannot easily replace. The video targets intermediate and advanced users.

    Explicitly addressed were 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 won’t directly replace jobs but will prevent the creation of new ones, particularly entry-level positions. The mechanism is more subtle than the direct displacement of employees by AI systems. Instead, AI will result in fewer new jobs being created, which is particularly problematic for younger people. Already, there is declining job creation globally and intense competition for entry-level positions, which is expected to worsen.

    The video addresses AI in general without mentioning specific tools or models, targeting a broader audience interested in AI’s impact on the job market—more intermediate or advanced viewers.

  • 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 helps identify and automate recurring workflows by optimizing interaction with artificial intelligence. The author explains how to use the prompt to recognize patterns in your workflows and automate them to boost productivity. He emphasizes the importance of first auditing your work to identify truly relevant and repeated tasks rather than simply implementing trendy automations. The prompt can be used in various AI tools like Codex, ChatGPT, and Claude. The author demonstrates how to apply the prompt and how to discover further automation opportunities 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 provide real value.

    Final comment: The video explicitly addresses OpenAI (Codex), ChatGPT, and Claude and is geared toward 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 urging them to embrace artificial intelligence. These speeches were frequently met with boos, which some interpreted as an anti-AI stance. The speaker argues, however, that Gen Z is not inherently opposed to AI but rather criticizes the unequal distribution of AI’s benefits. Studies show that 95% of UK students use AI, yet the primary beneficiaries are tech billionaires, established professionals, and companies, while young career starters bear the downsides. Demanding support for AI while simultaneously worsening their career prospects is presented as cynical.

    The speaker generally addresses AI’s impact on the job market and social inequality without naming specific AI tools or providers. The video targets intermediate and advanced viewers engaging with AI’s societal implications.

  • 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, urged graduates to engage with AI development, which was met with boos since many face a difficult job market. Steve Wozniak, Apple’s co-founder, lightened the mood with a joke about “real intelligence” and received applause. The speaker argues that both statements are justified: Wozniak emphasizes human intelligence, while Schmidt highlights the need to engage with AI. The main criticism concerns the difficult job situation for young people who, despite their abilities, find no opportunities. The speaker advocates actively shaping AI development rather than ignoring it.

    **Final comment:** The video addresses general AI developments 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 synchronization feature in the ChatGPT app, which allows you to sync projects and work progress across multiple devices. The speaker explains how this feature now enables seamless switching between the office and other locations like the pool without losing data. A guide is mentioned that covers technical details and setup for 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 geared toward intermediate users.

  • How to Use Codex Pulses (and Delete Your To-Do App)
    1.6.2026, 05:00:14

    The video “This is AI with Kyle” introduces the concept of “Codex Pulses,” inspired by Dan Shipper. Codex Pulses are specific threads within Codex used to organize tasks, ideas, and notes. Kyle demonstrates how he uses various pulse threads like “Content,” “To-dos,” “Things to buy,” and “Questions” to boost his productivity. Each thread has specific functions, such as capturing ideas via voice recording, prioritizing tasks, or automatically researching and shopping. The pulse threads sync across the Codex mobile app with a central computer and provide daily summaries. Kyle emphasizes that this system is simpler and more focused than OpenClaw, as it handles specific tasks and requires less maintenance.

    The video explicitly addresses Codex and the Codex mobile app used to implement the pulse threads. It targets intermediate users already familiar with AI tools who want to optimize their productivity.

  David Shapiro (1 new video)

  • The last 300 days of work? (No, but…)
    31.5.2026, 13:07:59

    The video discusses the rumor that we are in the last 300 days of work, a claim spread by Kevin Roose, a tech journalist, on Twitter. The speaker questions the credibility of this statement and analyzes its possible origins and implications. He argues that although AI technologies like Claude and Gemini have already made significant progress and increased productivity in many areas, the complete integration and acceptance of these technologies in society will take much longer than 300 days. The speaker emphasizes that there are multiple adoption curves, both at the level of AI models themselves and among end users and companies implementing these technologies. He references his own experiences in large corporations and the challenges associated with introducing new technologies into established systems. He also discusses the fear and resistance many workers have toward AI and the slow decision-making processes in large enterprises. The speaker concludes by noting that while the long-term effects of AI could be revolutionary, short-term expectations are often overstated.

    The video explicitly features the AI models Claude and Gemini as well as AI integration in tools like Canva and Slack. It is aimed more at intermediate and advanced viewers, as it provides detailed insights into the technology and its implementation.

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

  • The Compound Risk of AI Agents ⚠️ #ai #risk #software
    31.5.2026, 03:00:06

    The video discusses the challenges and requirements for autonomous agents performing many tasks over extended periods. The speaker emphasizes that even a low error rate of 5% per task quickly compounds into systemic risk when agents operate over weeks. For sustainable and valuable workflows, reliability of 99.5% or higher is necessary, even in complex and ambiguous organizational contexts.

    The success of such agents depends on four key competencies: better information retrieval, smarter reasoning, coherent memory, and the ability to connect these competencies. These capabilities reinforce each other and contribute to improving agent accuracy and efficiency. If any of these competencies fails, the entire system collapses.

    Ultimately, it’s about inventing a new “System of Record” for enterprises that sits above existing systems and synthesizes them. This is not just a better tool, but a new layer in enterprise architecture.

    The video addresses general concepts and technologies in autonomous agents and AI systems without naming specific tools or models, and is aimed at an advanced audience.

  • OpenAI’s Compound Bet: A Risk Worth Taking? #OpenAIstory #ainews
    31.5.2026, 00:00:03

    The video analyzes OpenAI’s strategy and its potential impact on the enterprise software market. The main thesis is that the company that succeeds in making enterprise-scale context usable at a trillion-token scale—storing it, making it retrievable, analyzing it, and acting on it—will not only dominate the AI market but could also restructure the entire enterprise software architecture. In doing so, it would replace the existing SaaS stack and become a new Enterprise Data Platform. The video builds on the author’s earlier analysis and considers recent developments such as Pentagon deals and OpenAI’s massive funding.

    The video explicitly addresses OpenAI and is better suited for Intermediate or Advanced viewers.

  • My AI Workflow Has Changed (Here is What I Learned)
    30.5.2026, 15:00:04

    In this video, Nate shares his experiences and workflows with AI tools, particularly Codeex and Claude, over recent weeks. He highlights how he uses Codeex to create context windows on his local file system by giving the tool natural language inputs to find and copy relevant files. This enables him to work with complex and lengthy documents, spreadsheets, and code projects. Nate also describes how his prompting style has evolved, from structured instructions to a more collaborative and iterative approach where he first defines the task shape with the model before executing it. He emphasizes the efficiency and versatility of Codeex, especially when working on multiple ideas and tasks simultaneously. He also mentions continuous improvements and future developments in AI models without committing to any specific team.

    The video explicitly addresses Codeex and Claude, with content more suitable for Intermediate or Advanced users.

  • How AI is quietly replacing databases #ai #tech
    30.5.2026, 03:00:04

    The video argues that the new central platform for enterprises lies not in storing data but in synthesizing and analyzing it. Previous systems like Salesforce or ServiceNow make money by storing specific data (customer data or IT workflow data), but real value creation comes from connecting and evaluating that data. Companies that master this synthesis layer could generate significantly higher value than current providers. However, many companies are reluctant to move their data, which presents a challenge for new entrants. For established SaaS companies like Salesforce, this could be an existential threat, as they risk being displaced by new providers of the synthesis layer.

    The video addresses general concepts of data platforms and SaaS business models without naming specific AI tools or models, and is aimed at an advanced audience engaged with enterprise strategy and data management.

  • The death of the filing cabinet #ai #tech
    30.5.2026, 00:00:01

    The video discusses the vision of a future system being developed by OpenAI and referred to as a “stateful runtime environment.” This system is to continuously ingest data from all departments of an enterprise and create a coherent knowledge model of the organization that no individual could reach in depth. Unlike search engines or chatbots, it is meant to represent an intelligent layer that integrates various data sources and generates comprehensive understanding from them. Examples such as Jira or SaaS applications are mentioned, which could remain as workflow tools but whose intelligent functions would transition to this new context platform. The system is intended to turn data sources into information sources and relocate knowledge from individual systems to a central, networked intelligence layer.

    The video explicitly addresses OpenAI and is better suited for Intermediate or Advanced viewers.

  • Cheap software made your PM job harder, not easier. Here’s the new job.
    29.5.2026, 14:00:08

    The video discusses the evolving role of Product Management (PM) in the age of AI. The speaker argues that PMs should not just focus on prototyping but must take on a more strategic and technically demanding role. With the proliferation of AI tools like Lovable, Claude Code, and Codex, software development becomes cheaper and more accessible, leading to an abundance of prototypes and work artifacts. The main task for PMs is now to classify this abundance and decide which software actually delivers value to the enterprise and which should be deleted. This requires deep understanding of markets, users, technical systems, and data. The speaker emphasizes that future PMs must act not just as filters for scarce engineering resources but as strategic decision-makers who understand markets and the technical aspects of AI products. Microsoft’s internal use of the Power Platform is cited as an example of the shift toward software abundance that requires new forms of governance and management. The speaker proposes using a “production-class ladder” to classify different levels of software, from personal tools to customer-facing products, and stresses the importance of deliberate promotion and demotion of software to avoid chaos and technical debt.

    The video explicitly addresses tools like Lovable, Claude Code, and Codex and is aimed at Intermediate to Advanced Product Managers.

  • 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 that provide a synthesis layer for various systems. The core point is that switching to other systems is not only difficult due to modeling choices but especially because of the unique understanding layer these platforms build. This layer connects and understands relationships between various data sources and decisions, which cannot be exported. 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 every hour of platform operation. The video also suggests this could lead to a self-reinforcing 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 engaged 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 step through complex problems and transparently display reasoning. This feature enables improved performance on demanding tasks such as contract analysis or troubleshooting, with Anthropic reporting improvements of 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 is not dependent on inference-compute models and thus operates more efficiently.

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

  • This is how AI agents actually take over enterprises #ai #business #tech
    1.6.2026, 03:00:03

    The video describes the development and integration of AI agents within an enterprise, functioning as an institutional knowledge layer. In the first month, agents are intelligent but generic, much like a talented new employee who can read the wiki. After three months, agents have processed hundreds of code reviews and architectural discussions, synthesizing knowledge across department boundaries. After six months, agents know things no single person knows and connect decisions across teams that would never surface in normal human workflows. Agents likely learn even faster. Once the installation matures, whether that takes several months or just days, the company effectively has a network of agents functioning as an institutional knowledge layer. New engineers might need weeks to onboard, but agents could be productive within days and accelerate and guide work across the entire enterprise.

    The video addresses generic AI agents and is more suitable for Intermediate or Advanced viewers.

  • Microsoft Says 86% Treat AI Output as a Starting Point. Your Resume Just Stopped Working.
    31.5.2026, 17:00:39

    The video discusses challenges and solutions in handling AI-generated content in professional contexts. Microsoft studies show that 86% of users treat AI outputs as a starting point rather than an end result, which changes how quality and productivity are assessed. The core point is that AI makes it possible to appear productive without actually making sound decisions. The speaker argues that traditional evidence such as memos or projects is no longer sufficient to demonstrate human judgment. As a solution, he proposes using whiteboard sessions to make thinking processes visible. Four key areas should be covered: situation, decision, risk, and change. This method helps prove work quality and is especially valuable in collaboration with others. The speaker emphasizes the importance of “Talent Boards” to document these thinking processes for use in applications or promotions. He recommends forming a clear perspective early in a new role and discussing and refining it in whiteboard sessions with experienced colleagues. The video is suitable for Intermediate and Advanced users and does not address specific AI tools or models.

  Alejandro AO (1 new video)

  • 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, making it a productive personal assistant.

    Next, the video provides a detailed walkthrough on how to set up a VPS with Hetzner and install 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 automated 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 feed workflows into the Hermes Agent “brain dumps” and how the agent assists in generating and prioritizing tutorial ideas. It’s also mentioned 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 VPS usage and AI agents.

  Sebastien Dubois (1 new video)

  • 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 element is the “Receptionist,” which serves as an interface for interacting with various AI agents and skills.

    The system comprises 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 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 the user’s history, work style, and values.

    Another feature is support for LLM Wikis, inspired by Andrej Karpathy. These wikis enable 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 best suited for intermediate to advanced users, as it assumes viewers are already familiar with Obsidian and basic AI concepts. It addresses specific tools and plugins such as Claude AI and the Obsidian Starter Kit Plugin.

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