# AI Agent

### How to Play NetX AI Agent

NetX Agent is a super AI product developed by the Trias ecosystem, built on the Trias  'Layer -1' network and designed with future commercial trends in mind. It consolidates various capabilities from different projects within the Trias ecosystem.

#### Three Characteristics:

1. **Continuous 24/7 Operation**: Intelligently assisting users in their tasks.
2. **Unlimited growth:** By having daily conversations and training with the Agent, you can improve the various abilities of the Super Agent, which in turn feeds back to the Agent. The Agent has unlimited room for growth.
3. **Agent Collaboration**: Multiple Agents can work together to complete a specific task.

#### Unique Feature:

* **Loading Different AI Models:** Creating distinct T-Agent based on the variety of AI models loaded and their training levels, which will determine the growth direction and level of T-Agent as well as participation in scenarios and rewards.
* **Three Ways to Upgrade AI Models**: (1) Professional data and programmatic injection; (2) Paid access to super agents; (3) Merging similar AI models.

#### Application Categories:

1. Conversation, AI Token Transfer, AI Smart Contract Audit
2. AI Training Upgrade
3. T-Agent Multiple Scenarios

#### Benefits for Trias Ecosystem Users:

Trias ecosystem users who hold Trias ecosystem tokens (hold TRIAS (TEP, BSC, ETH, Polygon) ≥5 or hold GROW ≥50) can have more functions and capabilities of Agent/T-Agent, and can also obtain more rewards.benefits: AI Token Transfer, AI Smart Contract Audit, and 3X benefits from participating in training and other application scenarios.

Learn more: <https://netx.gitbook.io/netx-docs/agent/benefits>

#### Further Information about NetX Agent:

More detailed information about NetX Agent can be found through the following diagram:

<figure><img src="https://310333798-files.gitbook.io/~/files/v0/b/gitbook-x-prod.appspot.com/o/spaces%2FZudgoMEY8XfycqqiBARC%2Fuploads%2FSicqiU1MdonbFQcUcaXK%2FNetX%20AI%20Agent.jpg?alt=media&#x26;token=8e366c6d-55af-45f5-afeb-95a9140a1a6d" 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/ai-agent.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.