Introducing Expand Fetch, a new way to scrape and crawl the web.
Your agent has never seen the web. No wonder it gets basic questions wrong.
Traditional Markdown APIs lose critical details. So we trained two System one models to change that:
Iris, a vision model that sees pages like you do, preserving tables, icons, and layouts.
X-Ray, a JSON model that uncovers the hidden data behind every page.
Every fetch also comes with a Wayback Machine. Every line links back to its source, so you can verify exactly what your agent saw.
Three products. One API.
On our benchmark of 1,094 questions across 326 challenging web pages, agents using Expand got 74% right. The next best API got 55%.
Available today at $1 per 1,000 fetches.
Try it at https://t.co/x4SDYsUX25
🗞️ if your team is too busy doing their 'normal job' to experiment with AI, you're preparing them to be replaced
https://t.co/KTaIgFpvpK
In this post, I guess this's the last time I'll say it. AI use is no longer optional if you wish to be employed. What follows is advice for current employees and hiring managers on how to hire in 2026 to source AI-first candidates.
Introducing the /turn-into-app skill
Turn any agent workflow into a visual agentic app
Text is great for many things, but an agentic app with a real UI can take your agent workflows to the next level in one command
Your coding agent knows :has(), subgrid and anchor positioning. It just rarely reaches for them.
I built good-css so it does: 47 modern CSS techniques your agent uses first.
If you work with graph data structures (you should), I built a seriously powerful open-source graph library for you: @statelyai/graph
- Plain JSON graphs
- Convert DOT, Mermaid, GraphML + more
- So many algorithms
- Visual + structural graph props
- Fully type-safe + FAST
https://t.co/j0CeWjrrjP
Anthropic just posted a write up on how they made the Claude frontend faster which legit coincidentally uses the same agentic optimization techniques as described in the blog post. https://t.co/kx8VdAs5Ri
Beginning to think that when my coding agent says some effort is "~2-3 days" that means it'll take 2-3 days for me to discover & fix missed edge-cases, not that it'll take 2-3 days to implement
👀 These JS features -> now Baseline Widely Available:
- Object.groupBy() / Map.groupBy()
- Promise.withResolvers()
- Element.checkVisibility()
- ArrayBuffer.transfer()
Available in all browsers since March 2024
GitHub reviewed 2,500+ agents.md files. Five patterns stood out:
• Put commands early
• Show code, not prose
• Name the exact stack
• Set clear boundaries
• Cover tests, structure, style, and Git
An agent needs an operating manual, not a personality.
https://t.co/GShsUymmkO
👆 Use it as a review checklist, not another generic prompt template.
Pullfrog is now completely free for unlimited personal and open-source usage
🐸 It's a batteries-included BYOK GitHub bot (super-powered CodeRabbit/Greptile)
🐸 Runs in GitHub Actions
🐸 Bring your own key or sub (incl Claude/Codex)
https://t.co/WhsSvnfxzp
Hermes agent + Buzz is a complete cheat code.
In <5 minutes, you can build a full AI workspace where Hermes lives with saved memory, skills, context & more.
If you're looking to become more productive with AI, this is an excellent place to start: