> ## Documentation Index > Fetch the complete documentation index at: https://lightdash-refactor-full-audit-reorg.mintlify.site/llms.txt > Use this file to discover all available pages before exploring further. # AI agents > Ask questions in plain language and get governed answers, charts, and dashboards built from the metrics in your Lightdash semantic layer. AI agents are available as an add-on for all plans. [View pricing](https://www.lightdash.com/pricing) Lightdash AI agents let your team ask questions in natural language and get answers built from your semantic layer — the saved dashboards, metrics, dimensions, joins, and descriptions you've already defined. An agent picks the relevant models and metrics, builds and runs the query with the right filters, and returns the result as the chart, table, or summary that fits the question. Because every answer runs through the semantic layer, it respects the same project permissions and user attributes as the rest of Lightdash. You can run agents in the Lightdash app or in Slack, scope each one to a domain with tags, and improve them over time with verified answers, evaluations, and knowledge documents. The pages below cover setup, day-to-day use, governance, and the features that make agents more accurate. Looking for [**Autopilot**](/agents/autopilot)? Autopilot is a separate, admin-only agent that runs on a schedule to keep your project clean — fixing broken charts, flagging stale content, and suggesting new ones. It does not build charts or dashboards from user questions like the conversational agents described here.