> 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/advanced/content-customization.md).

# Content customization

Content customization is a key feature that lets you create tailored experiences with your AIsuru Agent. In this section, we'll explore different ways to personalize how your Agent interacts with users.

In this section, you'll find:

1. [**Assigning contents to specific roles**: ](/en/agent-training/advanced/content-customization/assigning-contents-to-roles.md)learn how to show different contents to different types of users
2. [**Customizing responses by user date and location**:](/en/agent-training/advanced/content-customization/customizing-responses-by-date-and-location.md) learn how to create contents that are only available in certain places or during certain time periods
3. [**Managing suggestions**: ](/en/agent-training/advanced/content-customization/managing-suggestions.md)explore how to guide the conversation with predefined options
4. [**Context: topics and labels**: ](/en/agent-training/advanced/content-customization/context-topics-and-labels.md)dive deeper into managing conversation context through topics and labels
5. [**Managing executable scripts**: ](/en/agent-training/advanced/content-customization/managing-code-snippets.md)learn how to integrate and run code snippets to create advanced interactions
6. [**Using timeout**:](/en/agent-training/advanced/content-customization/using-timeout.md) learn how to handle user inactivity periods effectively

These features will let you create a personalized, context-aware experience — adapting your Agent's behavior to different needs and situations.


---

# 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/advanced/content-customization.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.