> For the complete documentation index, see [llms.txt](https://docs.mirai.build/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.mirai.build/deep-dive/ai-agents-and-npcs/ai-helpers.md).

# AI Helpers

Our NPC Helper AI Agent is the key to user interaction and engagement inside MIRAI. This intelligent virtual assistant transforms user experience by providing a range of interactive services and functionalities that would make your virtual world more immersive, intuitive, and enjoyable.

**Personalized Assistance:** Provide real-time assistance with common issues and questions, offering guidance on how to use various features and tools within MIRAI.

**Building Assistance:** Guide users through the world-building process, offering tips and suggestions for creating unique and enjoyable environments

**Instant Alerts:** Notify users of important updates, changes, and events in real-time, ensuring they are always informed and engaged.

<figure><img src="/files/nVDLywTAbME2GAFXaUOA" alt=""><figcaption><p>Helper NPCs Usecases</p></figcaption></figure>


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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.mirai.build/deep-dive/ai-agents-and-npcs/ai-helpers.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.
