> For the complete documentation index, see [llms.txt](https://atm-5.gitbook.io/atmaiagent/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://atm-5.gitbook.io/atmaiagent/introduction/what-is-ai-agent.md).

# What is AI Agent

**AI Agent is a cutting-edge technology** designed to simplify complex tasks through automation and intelligent decision-making. It learns, adapts, and acts autonomously, making it a powerful tool across various fields.

<figure><img src="/files/05Wm4x6S2AGBaxwfcAXx" alt="" width="375"><figcaption></figcaption></figure>

* An AI Agent is a sophisticated system designed to perform tasks autonomously using artificial intelligence. It combines machine learning, data processing, and automation to make decisions, solve problems, and execute actions on behalf of its users.
* AI Agents are built to adapt and learn, improving over time as they gather more data. They can be found in various applications, from virtual assistants and chatbots to automated trading systems and personalized recommendation engines.
* By handling repetitive, complex, or time-sensitive tasks, AI Agents empower users to focus on what matters most while ensuring efficiency, accuracy, and scalability in their operations.


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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, and the optional `goal` query parameter:

```
GET https://atm-5.gitbook.io/atmaiagent/introduction/what-is-ai-agent.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
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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.