Ed @edhead777

A friend asked me how to actually build a company that runs on AI agents. I drew him 4 simple diagrams and this is what I told him: For this to work, a few things have to be true. - The humans move up to strategy, taste, and judgment while agents handle the execution. - The whole business becomes readable to agents. Your data, SOPs, pricing, permissions, and decisions all live in one shared context layer. - And you point it at the right work. Repetitive enough for an agent, complex enough that the incumbents never bothered. That's the goldmine. In the old world, the company was the people. They held the knowledge, made the calls, did the work. In this new world, the people become the creatives, the agents become the labor, and the company itself becomes the context layer. That shared brain is the actual company now. The humans and the agents are just plugging into it. Which means the most valuable thing you can build in 2026 is a business so well-documented that an agent can run it. I see it everyday with @MeetLCA. I don't talk about it much publicly, but we've built a SWAT team for building AI-native orgs and AI-native products. The moat is how legible your company is. I drew it all out below.

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Introducing Clips - 100% free, open source, agent-native alternative to Loom Unlike Loom, agent's can fully understand Clips just from a URL. Every Clip comes with APIs and metadata for agents to explore their contents. Agents can "see and hear" anything in a Clip - not just transcripts, but everything visually in the video at any timestamp. Easily share bug reports, feedback, analyses, or anything else in a way that you can easily pass to agents to use to improve products, reports, or more. Also unlike Loom, you own the software, so no one can jack up prices on you suddenly like Loom did to us. Clips is made to be customized. The built-in agent can customize its own code, so you can personalize the app to your needs and workflows. This, in my opinion, is the future of software. Open-source, forkable, customizable with agents, to make your own personal version of anything. You can also import Looms just from a URL and upload videos as well. I got so sick of telling people "don't send me feedback as looms, I can't pass those to agents, I need text and images" that I had to just solve this once and for all. There's a free hosted version you can use too, or fork and self host yourself. Will link to both in the replies.

Introducing the Fusion API, the smartest compound model in the market. Fusion achieves Fable-level intelligence at half the price. How it works 👇

@LoganTGott Send

New meta will be: Give Fable a tool like Exa Agent Search at task creation. This stacks 145 IQ operator with an army of cheap agents who are very good at search for cheap (x-high costs $1 per run). Let Fable operate the Exa agents until it has enough context / skills for the task. Set it on a /loop with a /goal — fan out cheaper subagents like GPT 5.5 or the new Cursor model that will come out soon and allow it to use its new context from the deep-research to orchestrate the worker agents to complete the task. This is the best return for your dollar. High IQ operator, high IQ search, high IQ outcomes.

@RCIllingworth Auto

@AlfieJCarter Mcp

@LoganTGott Playbook

@maestrotimk Leads

@yanndine Agents

@aryanXmahajan OS

@luagaroz Cb2

@MichLieben Repo

@garrytan Thats why Elon's spectrum behaviour is a feature not a bug.

There are two loops in every founder's head. The autism loop: run your own model to the floor, ignore consensus, hold a thesis when everyone says you're wrong. That makes conviction. The empathy loop: feel what the user feels, sense what the market wants before it has words. That makes traction. Most people crank one and starve the other. Pure conviction builds something brilliant nobody wants. Pure empathy builds consensus mush. PG put the whole job in four words: make something people want. The autism loop makes the something. The empathy loop knows it's wanted. The founder is the bridge. Most great founders show up dominant in the first loop. That's why they're contrarian enough to try at all. The work is grafting on the second. There is no place in the world that helps founders make the two loops work together to make great startups than Y Combinator. It is the most gratifying part of our work.

Obsidian + Claude just killed the $20K/year executive assistant Reads everything you read Remembers everything you forget Briefs you at 6am Compounds for 6 months until your competitors can’t catch up KJRainey shipped the cleanest walkthrough I’ve seen Here’s the 4-evening setup I built on top 👇 Set up the stack like this: > Install Obsidian → create 9 type-based folders (00 CAPTURE → 08 ARCHIVE) > Drop CLAUDE.md into 07 SYSTEM - your model’s operating manual > Telegram bot + Make dot com → 7-second capture from any device > Readwise Official plugin → highlights pipe straight into the vault > Claude Desktop + Filesystem MCP → Claude can read every note > N8N on a $5 droplet → schedules the 2am process + 6am brief First prompt to Claude: > Read every file in 00 - CAPTURE/ > Classify each as observation / quote / question / pattern / decision > Move to the right typed folder, rename YYYY-MM-DD-slug > Add YAML frontmatter (type, captured, source, topics) > Don’t paraphrase. Move and tag only. After it works, tune: > CLAUDE.md priorities + rules of thumb > daily brief length (under 400 words) > the “surprise me” connection prompt > weekly synthesis depth (7 days vs 30 days) > capture friction - if it’s above 7 seconds, kill it > output preferences (tone, format, what NOT to do) The numbers: → 8 minutes/day of capture → $0 in tools (or $25/mo for Claude Pro) → 4 evenings to build (~6 hours total) → Day 30 first surprise. Day 180 uncopyable. - The moat in 2026 isn’t prompts - It isn’t the model - It isn’t the skill library It’s the 6 months of structured context only you have Full breakdown - my synthesis of @cyrilXBT, @damidefi, and 6 months of running this myself is here Reply “VAULT” + RT and I’ll send you my full CLAUDE.md template + the 4 prompt files (nightly process, daily brief, weekly synthesis, monthly review)

ZEUS⚡️ @zeuuss_01

a month ago

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@zeuuss_01 Vault

x.com/i/article/2053…

@axtalks 108

You joined a new team last week. The codebase is 200,000 lines of TypeScript. Your tech lead says "just read through it." You open the repo. You stare at 400 files. You close your laptop and go get coffee. You have no idea where anything is. You have no idea how anything connects. You spend three days reading code that teaches you nothing about the system it builds. Someone built a tool that analyzes your entire codebase with a multi-agent pipeline and turns it into an interactive knowledge graph you can click, search, zoom, and ask questions about. It's called Understand-Anything. 33,455+ stars on GitHub. You point it at your project. It reads every file, every function, every class, every dependency. Then it hands you a visual dashboard. Every node is clickable. Every connection is labeled. You can pan across the whole system or zoom into one module. You can search for any concept and see exactly where it lives. Here's what it does: → Multi-agent pipeline analyzes your entire codebase automatically. Files, functions, classes, dependencies. → Builds an interactive knowledge graph. Every node links to real code. Click any node for a plain-English summary. → Domain view maps your code to actual business logic. Not just file structure. Real processes and flows. → Search across the graph. Type any concept, function name, or domain term and find it instantly. → Ask questions directly. "Where does authentication happen?" "What calls this function?" Get answers with context. → Guided tours of the codebase. Follow the path from entry point to core logic. → Works as a Claude Code plugin. Also works with Codex, Cursor, GitHub Copilot, Gemini CLI, and more. → Live interactive demo in the browser. Pan, zoom, explore before you install anything. → Supports any codebase. Not just TypeScript. Any project your AI agent can read. Here's the wildest part: The goal isn't a graph that wows you with how complex your codebase is. It's a graph that quietly teaches you how every piece fits together. That sentence is in the README. And it's the exact thing every code documentation tool gets wrong. They produce diagrams that look impressive in a presentation and teach you nothing on Monday morning when you're trying to fix a bug. Understand-Anything builds graphs that teach. Swimm charges $39/user/month for AI-powered code documentation. Sourcegraph starts at $19/user/month. CodeSee charged enterprise pricing before it shut down entirely in 2024. Mintlify starts at $150/month for team plans. Every one of them puts your code on their servers. Every one of them charges you monthly to understand your own codebase. Understand-Anything: $0. Any codebase. Any size. Your machine. Your files. Forever. 33,455 stars. 2,718 forks. Built in TypeScript. Active since early 2026. MIT licensed. Self-hosted. Free forever. 100% Open Source.