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1 # AI Insights
2
3 AI Insights generates on‑demand reports from your Netdata telemetry to explain what happened, why it happened, and recommended next steps. Reports use per‑second metrics, local anomaly scores, and correlation across nodes, then present evidence and actions in a concise, shareable format.
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5 ![Insights overview](https://raw.githubusercontent.com/netdata/docs-images/refs/heads/master/netdata-cloud/netdata-ai/insights.png)
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7 ## Report types
8
9 - [Infrastructure Summary](/docs/netdata-ai/insights/infrastructure-summary.md)
10 - [Performance Optimization](/docs/netdata-ai/insights/performance-optimization.md)
11 - [Capacity Planning](/docs/netdata-ai/insights/capacity-planning.md)
12 - [Anomaly Analysis](/docs/netdata-ai/insights/anomaly-analysis.md)
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14 Schedule recurring runs: [Scheduled Reports](/docs/netdata-ai/insights/scheduled-reports.md)
15
16 ## Generate a report
17
18 1. Open Netdata Cloud → Insights
19 2. Select a report type
20 3. Configure time range and scope (rooms/nodes)
21 4. Optional: adjust sensitivity or focus (varies by report)
22 5. Click Generate (reports complete in ~2–3 minutes)
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24 Reports appear in the Insights tab and are downloadable as PDFs. An email notification is sent when a report is ready.
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26 ## Parameters and scope
27
28 - Time range: 6h–30d typical windows; longer ranges supported by some reports
29 - Scope: entire Space, selected rooms, or specific nodes
30 - Sensitivity/focus: report‑specific options (see the individual report pages)
31
32 ## Output
33
34 - Executive summary with key findings
35 - Evidence: charts, anomaly timelines, alert/event context
36 - Recommendations with rationale
37 - PDF download and shareable view in Netdata Cloud
38
39 ## How it works (high level)
40
41 - Collects the relevant metrics, anomaly scores, and alerts from your agents
42 - Compresses them into a structured context (summaries, correlations, timelines)
43 - Uses a model to synthesize explanations and recommended actions from that context
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