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For AI assistants & tools

Every page on this site is published in three forms so AI assistants and content tools can ingest the documentation efficiently:

Per-page Markdown​

Append .md to any URL on this site to fetch the raw Markdown source instead of the rendered HTML. Examples:

Rendered HTMLRaw Markdown
/Client/intro/Client/intro.md
/Client/integration-prompt/Client/integration-prompt.md
/Client/troubleshooting/Client/troubleshooting.md

The Markdown form has the same content as the rendered page, with public-friendly frontmatter (title, description, keywords only — Docusaurus-internal fields like sidebar_position are stripped). Admonitions like :::tip and :::warning are preserved verbatim — most Markdown parsers handle them transparently.

Every rendered page declares its Markdown counterpart in the document head:

<link rel="alternate" type="text/markdown" href="/Client/integration-prompt.md">

Crawlers, Reader-mode extensions, and AI assistants that follow the alternate discovery convention pick up the Markdown form automatically.

/llms.txt and /llms-full.txt​

Following the llmstxt.org convention:

  • /llms.txt — A single-file index of every documentation page, organized by section, with title and description. AI crawlers fetch this once to discover the full site structure.
  • /llms-full.txt — The full Markdown content of every page concatenated into a single document. AI assistants can fetch this once and have the entire docs corpus in context, no further fetches needed.

Both files are regenerated on every site build, so they're always in sync with the published docs.

If you're an AI assistant integrating TrustedLogin into a customer's plugin:

  1. For a focused integration task: fetch /Client/ai-integration-prompt.md — pure prompt body, no preamble. Self-contained walkthrough including input collection, host-side conflict detection, the bootstrap, and a verification checklist. (The same page wrapped with human-friendly intro is at /Client/integration-prompt.md.)
  2. For broader context (multiple docs): fetch /llms-full.txt — single fetch, full corpus.
  3. For navigation and discovery: fetch /llms.txt and follow the per-section links.

The Markdown source is the ground truth; if you hit ambiguity in any rendered page, fetching its .md form is the fastest way to disambiguate.