# Reward and Token Distribution Structure

After the AI Agent is defeated, or if the timeout ends without a winner, rewards will be automatically distributed to stakeholders according to the following mechanisms:

## Distribution When There Is a Winner

* **First Prize:** 50% of the total prize pool will be awarded to the First Prize winner.
* **Second Prize:** 15% of the total pool will be allocated to the Second Prize.
* **Third Prize:** 5% of the total pool will be allocated to the Third Prize.
* **Liquidity Addition:** The remaining 30% of the total pool will be used to add liquidity:
  * 200 million tokens will be used to add liquidity.
  * 300 million tokens will be distributed to users who held messages, based on the ratio (held messages + used messages) / total messages of the Agent.
  * 50 million tokens will be awarded to the creator of the Agent.
* The total supply of agent tokens is 550 million tokens.

Note: If no one buys the draw rights for the Second and Third Prizes, the entire reward will go to the First Prize winner.

## Distribution When the Game Ends Due to Timeout

* **Last Message Sender:** 10% will be awarded to the sender of the last message.
* **Buyback and Burn Tokens:** 4% will be used to buy back and burn LLMBT tokens, reducing supply and increasing value.
* **Agent Creator:** 10% will be awarded to the creator of the Agent.
* **Proportional Message Distribution:** 25% will be shared among users based on the ratio (held messages + used messages) / total messages of the Agent.
* **Liquidity Addition:**
  * 51% is added to the liquidity for the Agent token, with token distribution as follows:
  * 200 million tokens will be used to add liquidity.
  * 300 million tokens will be distributed to users based on the ratio (held messages + used messages) / total messages of the Agent.
  * 50 million tokens will be awarded to the creator of the Agent.
* The total supply of agent tokens is 550 million tokens.

Note: If time expires and there is no First Prize winner, then the Second and Third Prizes will not be determined.

<br>


---

# 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.llmbt.com/features/reward-and-token-distribution-structure.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.