> 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/experience-editor/testing-your-experience-locally.md).

# Testing your experience locally

After you save an experience to your device, you can load and test it locally.

{% hint style="warning" %}
ENGAGE doesn't support use of an experience in a Session shared with other users when the experience is stored on your local device. The demand on the network to stream from your device to those of other users will create issues with the playback.
{% endhint %}

1. Start a Session. To reduce the time required to load your experience, start the Session in the same location that's used in the experience.
2. Open your menu or tablet, and then select **Experiences**.
3. On the **Experiences** page, select **Device Storage**.
4. Select your experience file from the list.
5. On the file information page, select **Load**.


---

# 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/experience-editor/testing-your-experience-locally.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.
