> For the complete documentation index, see [llms.txt](https://help.felt.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://help.felt.com/felt-ai/more-ways-to-work-with-ai.md). # More ways to work with AI {% embed url="" %} Felt AI helps you build Extensions, design Custom popups, and write SQL queries using natural language. * [**Extensions**](/developer-platform/extensions.md) — create interactive tools on your map where users click, filter, and explore. Felt AI drafts JS SDK code you can read, edit, and run. * [**SQL queries**](/data-sources/cloud-sources/sql-queries.md) — ask spatial questions of your cloud database. Felt AI translates your question into SQL you can inspect, edit, and run, and results become a map layer. * [**Custom popups**](/developer-platform/custom-popups.md) — create rich displays of formatted information when users click a feature. Felt AI drafts the HTML, CSS, and JavaScript, which you can edit directly. See [Prompting tips](/felt-ai/prompting-tips.md) for how to get the best output from each of these, and from the assistant itself. --- # 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.felt.com/felt-ai/more-ways-to-work-with-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.