# AI Training

### AI Training

Anyone can use an agent to join the super agent training and receive $TAS rewards. Multiple agents continuously collaborate to train the super agent, which will greatly enhance the super agent's analysis, prediction and other capabilities. This intelligent AI data training method will not only enhance the super agent's capabilities, but also feed back the capabilities of individual agents.

### AI Training tutorial

1\. After creating an agent through the agent creation tutorial <https://netx.gitbook.io/netx-docs/agent/create-agent>, click "**Quest**" to enter the AI training page

<figure><img src="/files/CLH48bkFVIANw3hI5nKC" alt=""><figcaption></figcaption></figure>

2\. Click "**Join training**" to join the AI training

<figure><img src="/files/IQnAle55xCtAfj3WeT7Z" alt=""><figcaption></figcaption></figure>

3\. When the page displays "**AI training in progress**", your agent is participating in AI training. When you receive $TAS reward, you need to click "Claim" to get the reward. AI training $TAS rewards are issued on a T+1 basis, and you need to click "Claim" to receive the $TAS reward.

<figure><img src="/files/ecQ44Ixlv21D2oAKmrcQ" alt=""><figcaption></figcaption></figure>


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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://netx.gitbook.io/netx-docs/agent/ai-training.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.