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  • Fable 5.1 🧠, World Labs Atlas 🌍, Cognition $47B 💰

    Atlas is a world generation model pretrained from scratch to natively operate on text, images, video, and 3D. It combines all inputs into a shared spatial context and uses that context to generate what comes next.

    TLDR AI6 min read

  • An Organizational Second Brain: Building an AI That Learns From Experts

    We’ve built an AI agent that acts as a secondary expert for a given domain, making deep specialist knowledge readily available and preserved for anyone in an organization to access, share, and build upon. This is not a typical domain-specific agent.

    Meta Engineering13 min read

  • Chopin

    Writing production-quality code isn’t perfectly solved by today’s agents, but we’re getting pretty damn close. With a frontier model to hand, rigorous upfront planning, and plenty of tests and verification checks, swathes of senior developers have laid down their text editors and stopped…

    Copilot Workspace Blog9 min read

  • How to build on Aircall's AI ecosystem: A developer's guide

    We’ve opened our AI ecosystem to partners and developers. So, here’s our practical guide to how you can go from an idea to a live integration. One that Aircall's AI agents can call on in real time—using our Developer Portal—to plan, build, and publish.

    Aircall Blog7 min read

  • How Humans and AI Agents Can Work Together

    Most AI tools were built for one person at a time. You open a private chat, teach it something, and close the tab, and everything you just taught it stays with you. That model made sense when AI was a personal productivity boost.

    PromptQL Blog7 min read

  • How to Turn Corrections Into Reusable Team Knowledge

    You've been here before. The same alert fires again, the fourth time this quarter, and you're the only one who knows exactly what to run to fix it, because you're the one who figured it out during a panic-driven 3 AM call months ago.

    PromptQL Blog10 min read

  • What Is a Context Graph? A Practical Guide

    A finance team once caught an agent approving a 40% discount [https://atlan.com/know/context-graph-vs-knowledge-graph/] for a client capped at 25%. The model sounded confident. It cited the right policy name. It was dead wrong.

    PromptQL Blog10 min read

  • What Is a Context Layer? A Guide for AI Teams

    A team runs an AI agent on what looks like a clean dataset and asks a simple question: what's the projected Q4 revenue for the East Coast division? The agent returns a number, confident and completely wrong. The real culprit usually isn't the model.

    PromptQL Blog11 min read

  • How to Share Context Across ChatGPT, Claude & Other LLMs

    You've felt it. You tell Claude your product roadmap, then jump into ChatGPT to draft a launch email and realize it has no idea what you're talking about. The knowledge you painstakingly built in one tool is completely absent in another.

    PromptQL Blog9 min read

  • How to Set Up an AI Agent in Slack for Business Questions

    Your team lives in Slack. Your answers live in a warehouse, a CRM, and a dozen other SaaS tools that don't talk to each other. So people toggle tabs, copy-paste numbers into a channel, and hope the figure they just posted is still current by the time someone reads it.

    PromptQL Blog7 min read

  • I Built a Wiki That Updates Itself.

    Introduction You know that feeling of dread when someone asks a question you know is answered in that doc you wrote six months ago? The doc that’s now riddled with stale screenshots and outdated numbers. Traditional wikis rot.

    PromptQL Blog10 min read

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