> 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/advanced-training-methods.md).

# Advanced training methods

Beyond the basic methods (Teach Me, Contents, and Document Import), AIsuru offers three advanced approaches for training your Agent:

* You can insert short documents directly into the [Agent's instructions](/en/generative-ai/ai-instructions.md);
* You can use [functions](/en/advanced-features/integrations/functions.md) to access documents and online data in real time;
* You can use [MCP](/en/advanced-features/integrations/mcp/mcp-what-they-are-and-how-to-use-them.md) to connect to external services like databases.

These advanced methods are especially useful when you need continuous updates or want to keep your data separate from the platform. They should, however, be used with care: in both cases, you'll need to make sure that the documents and the page's source code don't exceed the context window of your chosen language model.


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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://docs.aisuru.com/en/agent-training/advanced/advanced-training-methods.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.