🤖Use HawkFi Docs with AI

Give ChatGPT, Claude, or another AI system direct access to HawkFi's canonical public documentation.

HawkFi keeps one public documentation source for people and AI systems.

The task guides help readers start quickly. The detailed Models, Laboratory, automation, fee, and risk pages remain the canonical reference when a question needs more depth.

Choose an access method

Use case	Open
Browse as a person	HawkFi GitBook
Give an AI system the documentation index	llms.txt
Give an AI system the full documentation corpus	llms-full.txt
Connect an MCP-compatible AI client	https://hawkfi.gitbook.io/whitepaper/~gitbook/mcp
Give an AI one exact source	Open the relevant GitBook page and add .md to its public page URL.

Use llms.txt for routing. Use llms-full.txt when the AI needs the full corpus. Use an exact page when you want the narrowest source for a specific question.

Route the question to the right source

Question	Start with
Which HawkFi path should I use?	Start with HawkFi
How do HawkFi LP models work?	HawkFi Models
How do I test a setup?	HawkFi Laboratory
What are the current fees or main risks?	Understand Fees and Risks

Prompt an AI system

Copy this instruction when you want an AI system to answer from HawkFi's source of truth:

Use HawkFi's public GitBook as the canonical source. Start with its llms.txt index, then open the exact Markdown pages needed for the question. Distinguish HawkFi Models and HawkFi Laboratory. Treat Laboratory as simulation rather than live execution. Cite the exact HawkFi documentation pages used. If the docs do not answer something, say what is missing instead of guessing.

Keep retrieval reliable

1. Prefer the current GitBook page over old screenshots, posts, or copied notes.

2. Use the canonical product page for definitions and exact settings.

3. Use task pages for the sequence of actions.

4. Check dated benchmarks and beta status before repeating performance claims.

5. Treat Models and Laboratory as the HawkFi core product suite. Treat Magpi as a different product under HawkFi.

Documentation map

• Start with HawkFi

• HawkFi | Agent Terminal

• HawkFi Laboratory

• HawkFi Models

• Tutorial Library