> 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/what-is-dscout-ai/dscout-ai-faq.md).

# Dscout AI FAQ

Have questions about Dscout AI? We’ve got answers. Below, you’ll find information about the principles that guide us during development, how our AI features function, and more.

<details>

<summary>What AI models power Dscout AI?</summary>

Dscout AI is powered by OpenAI. We perform in-depth evaluations when developing all of our AI products and features to ensure they perfectly complement your Dscout experience.

</details>

<details>

<summary>Will my data be used to train any third-party AI models?</summary>

No, your data will not be used to train any third-party AI models. For more information on how we work to protect your data, see [AI privacy and security in Dscout](/dscout-ai/what-is-dscout-ai/ai-privacy-and-security-in-dscout.md).

</details>

<details>

<summary>What are Dscout’s AI principles?</summary>

At Dscout, we understand the need to keep up with an increasingly fast research landscape—but we also believe it’s important to stay true to the core values that have always made research impactful:

* **Depth and quality:** Move beyond surface-level automation to enable nuanced understanding and contribute to high-quality, rigorous research outcomes.
* **Speed and scale:** Enable researchers to efficiently uncover insights across all methods.
* **Collaboration and control:** Foster partnership between researchers and AI with the researcher remaining in control.
* **Original context and integrity:** Accurately capture, preserve, and leverage the original context of human experiences.
* **Utility and accessibility:** Build solutions that address genuine needs and challenges of all users, ensuring practical utility and broad accessibility.
* **Trust and transparency:** Operate with transparency, clearly communicating how AI features function, what their capabilities are, and what limitations they have.

</details>

<details>

<summary>What AI features does Dscout offer?</summary>

Dscout AI is built to support you across the research cycle—so, a lot! For a full breakdown of Dscout AI’s capabilities, see [Dscout AI](/dscout-ai/what-is-dscout-ai.md).

</details>

<details>

<summary>Does Dscout AI offer support in multiple languages?</summary>

Currently, Dscout AI offers research support in English. This includes its ability to analyze responses collected in other languages. Be aware that generating themes, summaries, or notable moments for non-English responses may have varying results.

</details>


---

# 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/what-is-dscout-ai/dscout-ai-faq.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.