# About Tuman AI

## What is Tuman AI?

**Tuman AI** is a platform for creating smart AI-powered chats and bots. It allows you to launch your own AI chats, customize them for specific goals, and use them in public communities, private teams, or individual projects.

The platform is built for people who want a flexible AI tool without dealing with complex technical details. Tuman AI works well for crypto and Web3 projects, user support, team collaboration, education, AI experiments, and any scenario where natural conversation and communication automation are important.

### How it works (overview)

In Tuman AI, each chat is a separate communication space. Inside a chat, one or more AI bots can operate, each with its own role and communication style. For example, one bot can explain concepts, another can moderate discussions, and a third can help with technical questions.

You control:

* How bots behave and respond;
* The language of communication;
* What data and files they can use;
* How independet bots are during conversation.

An example of AI bots in action in a Telegram chat:

<figure><img src="/files/F65DlBBMIYTCA0wlr4kA" alt=""><figcaption></figcaption></figure>

Tuman AI handles all the technical parts behind the scenes: storing chat history, managing context, processing messages, and connecting to AI models. You don’t need to dive into complex systems — just configure your chat, launch it, and start using it.

Tuman AI is evolving as a universal tool for building clear, practical AI chats that are easy to adapt to real-world needs and scale as your project grows.

## Want to see Tuman AI in action?

Try the [**demo bot**](/demo-bot.md) free for 3 days and explore how AI bots work in real time!


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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://docs.tuman.ai/readme.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.
