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

# 2. Agent Training & Content Management

Now that you've created your first Agent, it's time to teach it everything it needs to know. In this section, we'll explore the different ways to train your Agent and manage its content, turning it into a truly useful and personalized AI assistant.

Here's what you'll learn in this chapter:

* [**How to train your Agent**](/en/agent-training/how-to-train-an-agent-overview.md) using different methods;
* **How to use the** [**dictionary**](/en/agent-training/dictionary.md) to improve your Agent's understanding;
* How to leverage **advanced features**, such as [code snippets](/en/agent-training/advanced/content-customization/managing-code-snippets.md), [HTML in messages](/en/agent-training/advanced/html-messages.md), and [customizing responses by role, date, and location](/en/agent-training/advanced/content-customization/customizing-responses-by-date-and-location.md).


---

# 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://docs.aisuru.com/en/agent-training.md?ask=<question>&goal=<endgoal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal.

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.