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
.mdfile per page, referenced from the index /llms-full.txt— The full documentation in a single file
How to use this feature
1. Copy the link to our documentation
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.
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.
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?
Direct links
| File | Description |
|---|---|
/llms.txt | Index with links to each page (individual Markdown files) |
/llms-full.txt | Full 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"
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