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

# Introduction

Welcome to the LLMBT platform, where AI meets Crypto, offering you the opportunity to create your own AI Agents and interact with artificial intelligence (AI) to earn crypto rewards. Here, you can create AI Agents or challenge yourself by persuading AI Agents to transfer funds to you or initiate a new AI Agent token with ease.

## Key Features

### 1. Create and Manage an Agent Treasure Guard:

   \- Users can set up an Agent Treasure Guard to hold a certain Prize Pool, earn profits from query fees, and receive token rewards when a winner is determined.

   \- There is no limit on the number of agents you can create; you just need to connect a wallet and have ETH to pay gas fees and initiate the pool.

### 2. Interact and Persuade Agents to Transfer Funds:

   \- The game is designed as a simple chat, where your task is to persuade the Agent to transfer the prize pool to you.

   \- You can purchase draw rights for the second and third prizes and persuade the Agent to win the first prize.

### 3. Launch AI Agent Tokens on DEX:

   \- When an Agent Treasure Guard fails (or time expires), a portion of the prize will be used to list the token automatically on a DEX.

   \- Tokens are distributed equally among all participants, with no team tokens or presale, ensuring a fair launch.

### 4. Other Agents:

   \- We will soon update with additional features for Agents.

LLMBT is not just a game but an ecosystem where you can explore, create, and benefit from interacting with artificial intelligence. Join today to experience the exciting and limitless opportunities we provide!

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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:

```
GET https://docs.llmbt.com/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.