> 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.md). # What is Dscout AI? {% hint style="info" %} Dscout AI is available on **Plus**, **Select**, and **Enterprise** plans and as an add-on available for **Base** and **Core** plans. {% endhint %} In today’s fast-paced research environment, it’s important the tools you rely on adapt to meet the increasing demand you and your teams are facing. That’s why we’ve built Dscout AI: a suite of tools designed to enhance productivity, spark inspiration, and streamline your work across the entire research cycle. Dscout AI shows up in two ways: * **Dscout AI Studio:** Agentic capabilities for when you want Dscout AI to *take action* *for you*. * **Built-in AI features:** Embedded features for when you want *help with work you're already doing*. The sections below outline the features you'll find in each category. {% hint style="info" %} **Note:** Dscout AI offers research support in English but may expand to include additional languages in the future. This means only mission responses in English can be analyzed using Dscout AI, even when Dscout's translation functionality is enabled. {% endhint %} ## 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: * **Draft 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 (beta):** Collect interview-depth insights at scale. For more information, see [AI moderated studies](/dscout-ai/dscout-ai-studio/ai-moderated-studies.md). * **Dscout MCP:** Leverage the power of Dscout within your AI workflows by connecting it to tools like Claude, Cursor, and more. For more information, see [Dscout MCP](/dscout-ai/dscout-mcp.md). ## Built-in AI features Dscout AI also offers features embedded across the platform to help you with tasks you're already completing, whether during analysis or while designing new studies manually: * **Refine your questions:** Write on-point study questions by getting in-the-moment feedback and suggestions. For more information, see [Refine your questions](/dscout-ai/built-in-ai-features/refine-your-questions.md). * **Improve your responses:** Ask participants dynamic follow-up questions to get more thorough responses. For more information, see [Dynamic follow-ups](/dscout-ai/built-in-ai-features/dynamic-follow-ups.md). * **Summaries:** Get at-a-glance recaps for individual questions/tasks and activities. For more information, see [AI summaries](/dscout-ai/built-in-ai-features/ai-summaries.md). * **Themes:** Automatically tag similar responses to highlight trends and categorize your data. For more information, see [AI themes](/dscout-ai/built-in-ai-features/ai-themes.md). * **Notable moments:** Surface key comments or decisions made by your participants during a mission or session. For more information, see [AI notable moments](/dscout-ai/built-in-ai-features/ai-notable-moments.md). For information on how Dscout works to keep your data safe when building AI features, 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 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.md?ask=&goal= ``` `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.