---
title: "AI Connector"
slug: ai-connector
section: Integrations
status: stable
description: "Make this documentation site trivially ingestible by any AI tool — no auth, no MCP, no OpenAPI required."
last-updated: 2026-10-07
---

# AI Connector

Make this documentation site trivially ingestible by any AI tool — no auth, no MCP, no OpenAPI required.

## AI-Readable Docs

Every documentation page on this site is published in two formats: the rich HTML view you are reading right now, and a clean markdown sibling for AI tools. The site also publishes the emerging llms.txt convention so AI assistants that don't support connectors, OpenAPI, or MCP can still answer questions about the architecture by fetching public URLs.

### Canonical URLs

There are three URLs an AI tool needs to know about:

- /llms.txt — an index of every documentation page with a one-line description and a link to the markdown variant, grouped by sidebar section. Start here.
- /llms-full.txt — the full markdown of every page concatenated into a single file, in sidebar order. Useful for tools that prefer one upload over many fetches.
- /docs/ .md — the markdown variant of a single page (for example /docs/rules-engine.md). Returns text/markdown with a YAML front-matter block (title, slug, section, description, last-updated) and no React shell, nav chrome, or scripts.
> **No auth required**
>
> These docs are public, so the markdown variants are public too. There are no API keys, OAuth flows, or rate-limit gates in front of them.

### Use with ChatGPT

Paste any of these into a new chat — ChatGPT with browsing will fetch them directly.

Read https://this.site/llms.txt and then answer my questions
about the Sponsor Ecosystem Architecture.
(Or paste a specific page:)
Read https://this.site/docs/rules-engine.md and summarize the
five-step evaluation pipeline.
### Use with Claude

Use Claude's web fetch (or attach the URL via the share sheet). For deep research, point Claude at the concatenated file.

Please fetch https://this.site/llms-full.txt — that is the
complete Sponsor Ecosystem Architecture documentation in
markdown. Use it as the single source of truth for the
questions that follow.
### Use with Manus

Manus and similar agent tools that accept URLs as knowledge sources can index the llms.txt directly.

Knowledge source: https://this.site/llms.txt
(Manus will follow each .md link in the index.)
## Auto-Discovery

Every HTML doc page advertises its markdown sibling via a in , so well-behaved fetchers can find the AI-friendly view automatically. The site's sitemap.xml lists both the HTML and the .md URL for every page, and robots.txt explicitly allows AI crawlers to ingest them.

## Freshness & Caching

All four endpoints are served dynamically from the same content layer that renders the HTML pages — so they never go stale. A short Cache-Control: max-age=300 header is attached to keep intermediate proxies polite without preventing AI tools from getting fresh content on the next fetch.