diff --git a/guides/ai-agents.mdx b/guides/ai-agents.mdx
index 4ccd4d30..a3746087 100644
--- a/guides/ai-agents.mdx
+++ b/guides/ai-agents.mdx
@@ -54,6 +54,7 @@ This guide covers everything you need to know about AI agents in Lightdash:
## Key features
- **Natural language queries** - Ask questions in plain English and get instant answers
+- **Ask from a chart or dashboard** - Launch a conversation with the chart or dashboard you're viewing already pinned as context
- **Automatic visualizations** - Get charts, tables, and dashboards generated based on your questions
- **Slack integration** - Collaborate with your team directly in Slack channels
- **Memory and learning** - Agents remember corrections and improve over time
diff --git a/guides/ai-agents/using-ai-agents.mdx b/guides/ai-agents/using-ai-agents.mdx
index 2ca3d1d7..525ad7a5 100644
--- a/guides/ai-agents/using-ai-agents.mdx
+++ b/guides/ai-agents/using-ai-agents.mdx
@@ -20,6 +20,35 @@ As mentioned earlier, Lightdash agents use the **semantic layer** defined in you
This ensures that the AI generates accurate queries and visualizations based on your specific data context.
So, *when an Agent generates an answer, the output is a semantic query, **not SQL!*** This means that you can easily swap between the conversational AI interface and the standard Lightdash exploration experience.
+## Asking about a chart or dashboard
+
+You can launch an AI conversation with a chart or dashboard pre-loaded as context. From the resource's `⋯` menu, click **Ask AI Agent**.
+
+This opens a new tab on the new-thread page for your default agent. The chart or dashboard appears as a **pinned context card** above the input, and the agent treats it as the subject of the conversation.
+
+
+
+
+
+### Pinned context
+
+- The pinned card stays visible above your message in the thread, so anyone reading later can tell what was being discussed.
+- Click the pinned card to open the chart or dashboard in a new tab.
+- The pinned context persists across follow-up messages — *"now break it down by region"* still refers to the originally pinned chart.
+
+### What you can ask
+
+When you pin a saved chart, the agent can read its actual data (subject to your [data access setting](/guides/ai-agents/data-access)). It honors the chart's saved filters, sorts, and custom metrics, so you can ask:
+
+- *"Why is this trending up?"*
+- *"Are there outliers in this chart?"*
+- *"Compare this chart's last 30 days to the previous period."*
+
+If your agent has data access disabled, pinning still works — the agent sees the chart's structure (name, dimensions, metrics) but no row values are sent to the underlying LLM.
+
## Example use cases
### Advanced visualizations with window functions
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