> For the complete documentation index, see [llms.txt](https://docs.engagevr.io/engage/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.engagevr.io/engage/getting-started/exploring-engage.md).

# Exploring ENGAGE

If you completed the sections in [Getting started](/engage/getting-started.md), you're ready to use ENGAGE. The following list includes some suggestions of what you may want to do next:

* Customize the appearance of your avatar, which includes the ability to use a photograph of your face. For more information, see [Avatars](/engage/avatars.md).
* Explore public plazas and the wide variety of metaworlds that are part of ENGAGE LINK. For more information, see [Accessing ENGAGE LINK](/engage/engage-link/accessing-engage-link.md).
* Create a shared session and invite some other users to join you. For more information, see [Sessions](/engage/sessions.md).
* Create another private session and explore the features described in [Essential features](/engage/essential-features.md).
* Learn about Venus, discover the potential dangers posed by cats, or view one of the many other presentations in the ENGAGE content directory. For more information, see [Accessing ENGAGE Experiences](/engage/essential-features/accessing-engage-content.md).
* Register for an Event. For example, you could join one of the regular *Exploring ENGAGE* Events to get a guided tour of some of the features in ENGAGE. For more information, see[Events](/engage/events.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 by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.engagevr.io/engage/getting-started/exploring-engage.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

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.
