# Introduction

Zonar runs inside private Telegram groups and turns real conversations into tokens.\
Every message is scored based on how useful and relevant it is.

If you add value, you earn.

The bot stays silent in the background. No spam. No identity tracking.\
It just watches the chat, distributes rewards, and helps train AI using anonymized data.

This AI is trained on real group conversations, not surface-level data from social feeds.\
It gets sharper over time by learning from real users who know what they’re talking about.

Zonar creates a feedback loop between the people, the data, and the product.\
The more value your group brings, the more powerful the system becomes.

Built for real contributors. Built for the ones who lead.


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# Agent Instructions: 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:

```
GET https://zonar.gitbook.io/zonar/introduction.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
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.