> 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/built-in-ai-features.md). # Built-in AI features Built-in AI features are a suite of embedded AI capabilities built for when you want help with work you're already doing in Dscout. These features support study design and analysis directly in your existing workflow, helping you move faster without changing how you work. Use Built-in AI features to: * Write stronger study questions. * Collect deeper participant responses. * Speed up analysis with summaries, themes, and notable moments. ### What you can do with Built-in AI features * **Refine your questions:** Write more effective study questions with in-the-moment feedback and suggestions. For more information, see [Refine your questions](/dscout-ai/built-in-ai-features/refine-your-questions.md). * **Review your study (beta):** Flag questions and study-wide issues that make an AI moderated study harder for participants to answer, and harder for you to analyze. For more information, see [Review your study](/dscout-ai/built-in-ai-features/review-your-study.md). * **AI summaries:** Get quick recaps of participant responses for individual questions, tasks, and activities. For more information, see [AI summaries](/dscout-ai/built-in-ai-features/ai-summaries.md). * **AI themes:** Automatically group similar responses to highlight patterns and make filtering easier. For more information, see [AI themes](/dscout-ai/built-in-ai-features/ai-themes.md). * **AI notable moments:** Surface key comments and decisions from participant responses and sessions. For more information, see [AI notable moments](/dscout-ai/built-in-ai-features/ai-notable-moments.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). *** --- # 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://help.dscout.com/dscout-ai/built-in-ai-features.md?ask=&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.