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

# Welcome to AIAV

## Vision

AIAV envisions a world where artificial intelligence is not built only by corporations, but collectively shaped by its users. By turning real human dialogues into AI knowledge, AIAV creates personalized AI Avatars that truly reflect the people behind them.\
We aim to grow into a practical AI Agent platform through personalized AI experiences. Since the data that AIAV learns from is personal and valuable, users must be rewarded for sharing it — because they are not just contributors, but core participants in the ecosystem. Our vision is an AI Agent platform that grows together with its users.

## Mission

Our mission is simple: to make sure people are rewarded for the knowledge they bring. Unlike traditional AI systems that quietly take user data without giving back, AIAV ensures that every participant is recognized and compensated. We want to democratize how AI is built, empower communities, and make AI both more human and more fair.

## Quick start

<figure><img src="/files/JPg7m4t0gKvPufOqjiuy" alt=""><figcaption></figcaption></figure>

[**Create your AV**](mailto:undefined)


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# 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://whitepaper.aiav.ai/readme.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.
