Dashboards

Create dashboards that visualize the most important metrics for your AI systems. Combine real-time widgets with historical trends and drill downs to accelerate incident response and drive continuous improvement.

Organize dashboards by audience—executive summaries, daily operations, and deep technical analysis. Use consistent color and layout systems, and include links to saved queries and runbooks.

Design Principles

1. 1

   Prioritize signal Surface actionable KPIs at the top, with clear thresholds and states.

2. 2

   Enable drill down Link widgets to queries and detailed views for investigation.

3. 3

   Segment by context Support filters for project, environment, user segment, and feature flag.

4. 4

   Share and review Snapshot dashboards for releases and incident reviews; annotate key changes.

dashboard = {
  "name": "AI Health Overview",
  "refresh": "30s",
  "sections": [
    {"title": "System Health", "widgets": ["status", "latency_p95", "error_rate"]},
    {"title": "Quality", "widgets": ["overall_score", "groundedness", "helpfulness"]},
    {"title": "Cost", "widgets": ["cost_per_request", "daily_spend", "token_usage"]}
  ]
}