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They’ve built OpenClaw. https://t.co/3f786WRiZj pic.twitter.com/csMtEDlzG4
— Vadim (@VadimStrizheus) 9 avril 2026
They’ve built OpenClaw. Claude (@claudeai) We're bringing the advisor strategy to the Claude Platform. Pair Opus as an advisor with Sonnet or Haiku as an executor, and get near Opus-level intelligence in your agents at a fraction of the cost. — https://nitter.net/claudeai/status/2042308622181339453#m
→ View original post on X — @ceobillionaire, 2026-04-09 18:29 UTC
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Honestly, I'm using both, but if you're just getting started and haven't used Openclaw before, Hermes agent is a great place to start
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We shipped a fully integrated AI workflow for building VR on the web.
— Meta Horizon Developers (@MetaHorizonDevs) 9 avril 2026
Just describe what you want. AI builds it, tests it, and fixes bugs without you touching the code.
Try it yourself here 👉 https://t.co/wMkVEjWT6V
Discover how it works 🧵👇 pic.twitter.com/GYHZqtk6Ld
We shipped a fully integrated AI workflow for building VR on the web. Just describe what you want. AI builds it, tests it, and fixes bugs without you touching the code. Try it yourself here 👉 bit.ly/4czvxUT Discover how it works 🧵👇
→ View original post on X — @scobleizer, 2026-04-09 17:51 UTC
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Your reading list is a gold mine you've never actually dug. Every article, transcript, and saved post is a raw input. This prompt turns all of it into a system you can think with. Drop your sources in. Let Claude do the compiling.
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This prompt turns Claude into a knowledge architect. You paste in your sources like articles, transcripts, books, notes, anything.
Claude runs them through a 6-step process: 1. Tags every source by domain and evidence type
2. Breaks them into atomic, standalone insight-notes
3.
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Karpathy built his second brain with hacky Python scripts over months. I built a prompt that gives you the same system in under 10 minutes. Drop your sources in, point Claude at them, and let it compile your knowledge base. Here's the prompt:
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I just tried it this morning on the 245-page Mythos pdf and it failed badly and the outputs were all mangled. Converting pdfs is really hard, I think it has to probably be a Skill not a program, for a SOTA LLM for it to work properly.
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Give me one minute, and I’ll improve your Claude Code experience immediately. This is the first skill I built. And it’s the skill I use most often. *drumroll* It’s a SCREENSHOT skill. And honestly, I’m shocked Anthropic hasn’t built this functionality into Claude Code itself. Claude has access 🔑 But Claude needs EYES 👁️ Here’s what you’re going to do: 1) locate what folder all your screenshots go to (and if it’s your desktop, you’re a maniac, change it). Mine goes to a folder on my desktop called “organized screenshots” 2) prompt Claude Code with the following: Build me a skill called ‘/ss’ that lists out the files in <screenshots folder path> from newest to oldest, and grabs the newest. This is how I will speak to you visually. I also want an argument for the screenshot count – if I type ‘/ss 4’, you should grab the four most recent screenshots in that folder. If I type no number after ‘ss’ then only grab the most recent screenshot. Then, whatever follows after that argument is the action I want you to take. ‘/ss huh’ means I need you to explain the screenshots’ content to me. ‘/ss 3 make infographic plz’ means I need you to grab the last 3 screenshots and use their content to make me a unified infographic. ‘/ss fix’ likely means that I’m screenshotting an error message in code we’re building out and I need you to understand the error message, figure out the bug, and edit the code to fix it. Or, if we’re in the middle of a front end design project, it might mean the design has an error (like overlapping text) to fix. ‘/ss do this’ likely means that I screenshotted a smart thing someone did online and I want us to learn from it and do the same and remix it so it’s the most goal-oriented outcome for me based on what you know about me 3) let it build you the skill 4) go on X 5) scroll through your feed and screenshot one thing you find valuable 6) open a new terminal and prompt Claude with “/ss” + “do this” or “explain” or “turn this into an infographic” 7) enjoy – you just gave Claude eyes 🎉 Let me know how it goes. Again, this is my most used Claude Code skill by a landslide and easily saves me an hour a week. Cc @bcherny @trq212
→ View original post on X — @alliekmiller, 2026-04-09 16:33 UTC
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🎙️Introducing Max Agency
— Harrison Chase (@hwchase17) 9 avril 2026
Max Agency is a new podcast where we go deep on how the best agents are actually being built: architecture decisions, tradeoffs, evals, and everything in between. Each episode, I sit down with engineering leaders who are doing this work in production.… pic.twitter.com/yqBsBcGQOR
🎙️Introducing Max Agency Max Agency is a new podcast where we go deep on how the best agents are actually being built: architecture decisions, tradeoffs, evals, and everything in between. Each episode, I sit down with engineering leaders who are doing this work in production. Our first episode features Izzy Miller (@isidoremiller), AI Engineer at Hex (@_hex_tech). Hex has been shipping data agents since before most teams were even thinking about them, starting with single-cell text-to-SQL and graduating to a full Notebook agent that can work autonomously for 20 minutes on a complex analysis. Izzy has a lot of perspective on what it actually takes to get agents working well in production, and what breaks along the way. A few takeaways from our conversation: – Keep your eval sets small enough to hold in your head: Izzy runs 30-50 handcrafted "traps" with multiple repetitions, rather than hundreds of variants. If you can't explain why your agent fails each one, your eval set is too big – Day zero performance is almost irrelevant: The more interesting question is how the agent compounds. Izzy is building a 90-day simulation where the warehouse evolves and the agent has to accumulate understanding – You can catch agent errors without seeing the raw outputs: By running an LLM-as-a-judge over production usage and clustering the results, you can surface places where something likely went wrong, without needing to read individual conversations Watch the full episode on: – Youtube: piped.video/watch?v=Xyh1Eqcj… – Apple Podcasts: podcasts.apple.com/us/podcas… – Spotify: open.spotify.com/episode/1BJ…
→ View original post on X — @langchain, 2026-04-09 16:32 UTC
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Gemini can now transform your questions and complex concepts into customizable interactive visualizations directly in your chat. Adjust variables, rotate 3D models, and explore data for a more immersive way to learn and explore in Gemini.
→ View original post on X — @haroldsinnott, 2026-04-09 16:04 UTC