LLM-optimized documentation

This site provides LLM-optimized documentation at three levels of granularity, designed for use by AI coding agents such as Claude Code, Cursor, Windsurf, and similar tools. These files also follow the llms.txt convention, making them discoverable by AI search engines.

They are addressed by convention rather than linked from the pages they cover: append .md to any page URL. Start from the llms.txt index below, which lists every page.

All links within LLM-optimized files use absolute URLs (https://www.union.ai/docs/...), so files work correctly when copied locally and used outside the docs site.

Per-page markdown (<page>.md)

Every page on this site has a parallel version in clean Markdown, served at the page’s own URL with .md appended. For example, this page is at:

and its Markdown version is at:

Section indexes

A section landing page’s Markdown carries a ## Subpages block listing every page directly beneath it. Each entry gives the page’s title, its URL, a one-line description of what the page is for, and that page’s own H2 and H3 headings.

So a section landing page is the index for its section: fetch one file to see what the section contains and what is inside each page, then fetch only the pages you need.

Page index (llms.txt)

The llms.txt file is a compact index of every page on the site, organized by section. Each entry includes the H2/H3 headings found on that page, so an agent can identify the right page to fetch without downloading it first.

Download it and append its contents to the AGENTS.md, CLAUDE.md or similar file in your project root. Make sure you append the index into a file that is loaded into context by default by your coding tool. Adding it as a skill or tool is less effective because the agent must decide to load it rather than having the information always available.

Full documentation (llms-full.txt)

The llms-full.txt file contains the entire documentation set in a single file. It is large, so prefer llms.txt plus the pages it points at unless you genuinely need everything at once.