The way developers build is changing. The IDE is becoming a conversation, the docs are becoming a tool call, and the fastest path from idea to shipped feature now runs through an AI assistant.

If Proof of Trust is going to be infrastructure for the open internet, it has to live where developers actually work — inside Claude, Cursor, ChatGPT, Codex, and whatever comes next.

So today we're flipping a switch on every page of docs.humanity.org: our entire documentation set is now first-class for AI coding tools.

What we shipped

Four things, all live now and all auto-updating whenever we publish:

• llms.txt — a clean index of every page with descriptions, ready to drop into any prompt.

• llms-full.txt — the entire documentation as a single file, for assistants that want full context in one shot.

• An MCP server at https://docs.humanity.org/~gitbook/mcp for real-time, query-able access from Claude Code, Cursor, and other MCP clients.

• Markdown for every page — append .md to any docs URL and you get a clean source you can paste, fetch, or pipe straight into a model.

  
  

Why use it

Drop our llms.txt into your prompt or wire up the MCP server, and your AI assistant stops guessing about OAuth scopes, presets, and on-chain interfaces, and starts writing integration code that actually compiles. The shortest path from "I want only verified humans in my app" to a working PKCE flow, an is_human check, or an airdrop gated by KYC status now fits in a single conversation.

What this means for Humanity

Verified humanity becomes valuable precisely as agents flood the internet. The networks that win will be the ones that are easiest to integrate, and increasingly that means easiest for an AI assistant to integrate on a developer's behalf. By making our docs machine-readable by default, we're turning every AI coding surface into a Humanity onboarding surface and lowering the cost of building an internet where humans can prove facts about themselves, without surrendering their data.

Try it: paste Read https://docs.humanity.org/llms.txt and help me integrate Humanity into my app into your assistant of choice, and build.