Integrating with AI
The Fluid public documentation is also available in an AI-friendly form following the llmstxt.org standard. AI coding assistants (Cursor, Claude, ChatGPT and others) can read these files directly to answer questions about embedding the Fluid Cashier or configuring it from the back office.
Two files are published:
- Index —
https://docs.fluidpayments.io/llms.txt— a short list of every public page with a one-line summary and link. - Full text —
https://docs.fluidpayments.io/llms-full.txt— every public page concatenated into a single Markdown file.
How to use them
- In a chat assistant — paste either URL into the conversation and ask your question. Most AI assistants will fetch and ingest the file.
- In a developer tool (e.g. Cursor, Claude Code, Codex) — add the URL as documentation context, or download
llms-full.txtand reference it from your prompt. - In an automated pipeline — fetch
llms.txtto discover available pages, then fetch individual pages as needed.
Caveat
AI answers are only as accurate as the documentation they are given, and Fluid's product evolves over time. Always verify integration steps against the live documentation and your operator-specific configuration before shipping.