> For the complete documentation index, see [llms.txt](https://docs.aiquant.fun/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.aiquant.fun/overview.md).

# Overview

- [Getting Started (.fun!)](https://docs.aiquant.fun/overview/getting-started-.fun.md): Learn the essentials of creating, configuring, and launching a tokenized AI quant, and explore how to scale its success through gamified milestones.
- [How it Works](https://docs.aiquant.fun/overview/how-it-works.md): Uncover the mechanics behind AIQuant.fun’s AI-powered agents, token analytics, and performance-driven milestones.
- [Tokenomics](https://docs.aiquant.fun/overview/tokenomics.md): Discover how AIQuant.fun's tokenomics drive sustainability, reward participation, and empower AI quant creators.
- [Refer and Earn](https://docs.aiquant.fun/overview/refer-and-earn.md): Invite frens to join AIQuant.fun and enjoy tiered rewards, passive income, and exclusive benefits.
- [Partnerships](https://docs.aiquant.fun/overview/partnerships.md): Join our network to amplify innovation, reach global audiences, and drive success in crypto and AI.
- [API Reference](https://docs.aiquant.fun/overview/api-reference.md): Comprehensive API documentation for the AIQuant platform.
- [API Reference Draft](https://docs.aiquant.fun/overview/api-reference-draft.md): Comprehensive API documentation for the AIQuant platform.


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter:

```
GET https://docs.aiquant.fun/overview.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.