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Version: 1.1.3

Ask the AI

Our documentation supports the llms.txt standard, which lets AI assistants (ChatGPT, Claude, Gemini, etc.) parse it and answer your questions.

What is llms.txt?

The llms.txt format is a standard that lets websites serve their content in a format optimized for large language models (LLMs). Instead of parsing complex HTML, the AI can directly access a structured Markdown file.

Our documentation automatically generates:

  • /llms.txt — A lightweight index of every section, with its title, link, and description
  • Individual Markdown files — One .md file per page, referenced from the index
  • /llms-full.txt — The full documentation in a single file

How to use this feature

Section index (recommended):

https://docs.fitai.fr/en/llms.txt

The index contains links to each page as an individual Markdown file. This way, your AI assistant can load only the pages relevant to your question, without ingesting the entire documentation.

Full documentation (single file):

https://docs.fitai.fr/en/llms-full.txt

This file bundles the entire documentation into a single document. Useful if your assistant supports large files and you want an exhaustive view.

2. Paste it into your favorite AI assistant

Ask the assistant to read and analyze this URL, then ask your questions.

Example prompt:

CartograFit is a geographic parking data platform (parking areas, street furniture, road network, H3 cells).

Here is the documentation index in llms.txt format: https://docs.fitai.fr/en/llms.txt

Review this index and the pages that seem relevant, then answer my question: How can CartograFit data help me meet the requirements of the LOM law regarding the inventory of parking spaces and pedestrian crossings?

Open a chatbot

Click a button to open an AI assistant directly with a pre-filled prompt:

* Claude and Gemini do not support pre-filled prompts. Click the button, then paste the prompt below.

Prompt used
CartograFit is a geographic parking-data platform (parking areas, street furniture, road network, H3 cells).

Here is the documentation index in llms.txt format:
https://docs.fitai.fr/en/llms.txt

This index links to each page as an individual Markdown file. Read the index, then open the relevant pages to answer my questions.
Tip

For best results, first ask the AI to read the documentation, then ask your questions in a second message.

Example questions

Here are a few questions you can ask the AI:

  • What are the different data types available in CartograFit?
  • How do I connect to the WFS server with QGIS?
  • What is the structure of a parking area?
  • How do I download a GeoPackage file from the platform?
  • What are the differences between the Starter, Business, and Enterprise plans?
FileDescription
/llms.txtIndex with links to each page (individual Markdown files)
/llms-full.txtFull documentation in a single file

Putting your data to work with AI

Our documentation contains the complete structure of our data types: H3 cells, parking areas, road network, street furniture. Every field, every property is described in detail.

This means an AI assistant can help you:

  • Understand the data structure — "What fields does a parking area contain?"
  • Prepare your queries — "How do I filter roads with high parking density?"
  • Combine datasets — "How do I link H3 cells to parking areas?"
  • Imagine analyses — "What spatial analyses can I run with your data in QGIS?"
  • Generate code — "Write a Python script to compute the total capacity per municipality"
Advanced use case

Ask the AI to suggest analyses you might not have thought of. For example:

"Looking at the structure of your data, what interesting analyses could I run for an urban mobility study?"

Why is this useful?

  • Complex questions: the AI can combine several pages to answer
  • Fast search: find information without browsing manually
  • Personalization: get answers tailored to your context
  • Code generation: get scripts tailored to our data format
  • Inspiration: discover analyses you hadn't considered