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Commit 1e71739

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docs: add user access controls and content discovery to AI agents
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‎guides/ai-agents.mdx

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@@ -42,6 +42,7 @@ Getting started with AI agents is simple - you can begin using them right away o
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- **Name and image** - Give your agent a memorable name and visual identity
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- **Instructions (optional)** - Provide context about your models, tables, or specific use cases to help the AI give more relevant responses
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- **Tags (optional)** - Use tags to control which metrics and dimensions the agent can access
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- **User and Group Access** - Control which users and groups can access your agent through the agent settings
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Once set up, you can start asking questions immediately! Try asking "What kind of data can you access?" to get started.
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@@ -61,6 +62,7 @@ AI agents in Lightdash allow you to:
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- **Maintain conversation context** - AI agents remember your conversation history, so you can build on previous questions and refine your analysis
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- **Provide text-only responses** - Get answers in natural language when visualizations aren't needed
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- **Guide you to the right data** - Direct you to the most relevant explores or tables for your questions
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- **Discover existing content** - Find and share relevant charts and dashboards that have already been created in your project
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### Using AI agents in Slack
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