> 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/generative-ai.md).

# 3. Language Models & Generative AI

Artificial intelligence is the beating heart of your Agent on AIsuru. In this chapter, you'll discover how to harness the power of language models and generative AI to make your virtual assistant smarter, more natural, and capable of delivering accurate, relevant responses.

In this section, we'll cover:

* [**How to enable generative AI**](/en/generative-ai/activate-generative-ai-and-change-model.md) to give your Agent the ability to generate dynamic, context-aware responses;
* [**How to write effective instructions**](/en/generative-ai/ai-instructions.md) that shape your Agent's behavior;
* [**How to choose the right language model**](/en/generative-ai/providers.md) for your needs — whether you're building a simple personal assistant or a sophisticated enterprise support system.

Get ready to discover how to transform your Agent from a basic assistant into a true conversational expert, capable of understanding, learning, and interacting in a natural and effective way! 🧠💬


---

# 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/generative-ai.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.