> For the complete documentation index, see [llms.txt](https://help.dscout.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.dscout.com/dscout-ai/dscout-ai-studio.md).

# Dscout AI Studio

Dscout AI Studio is a suite of agentic AI features built for when you want Dscout AI to take action on your behalf within Dscout. These features expedite the more repetitive and tedious parts of research, or they help you conduct high-quality research at a larger scale.

Use Dscout AI Studio to:

* Draft studies faster.
* Explore responses and sessions through natural-language analysis.
* Collect interview-depth insights at scale.

### What you can do with Dscout AI Studio

* **Draft a study with Dscout AI:** Describe your research goals or audience and let Dscout AI draft an entire study for you. For more information, see [Draft a study with Dscout AI](/dscout-ai/dscout-ai-studio/draft-a-study-with-dscout-ai.md).
* **Explore your data:** Uncover insights, trends, and more by chatting with Dscout AI about responses and interview sessions. For more information, see [Explore your data](/dscout-ai/dscout-ai-studio/explore-your-data.md).
* **AI moderated studies:** Collect interview-depth insights at scale. For more information, see [AI moderated studies](/dscout-ai/dscout-ai-studio/ai-moderated-studies.md).

For an overview of all AI capabilities in Dscout, see [What is Dscout AI?](/dscout-ai/what-is-dscout-ai.md). For information on how Dscout protects your data, see [AI privacy and security in Dscout](/dscout-ai/what-is-dscout-ai/ai-privacy-and-security-in-dscout.md).


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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://help.dscout.com/dscout-ai/dscout-ai-studio.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.
