Telemetry
AI-assisted analysis

Turn a plain-language question into SQL you can inspect and improve

Use table metadata and a focused prompt to get a first DataFusion query or visualization plan, then review the generated logic against the schema and real result.

Outcomes

  • Reduce the blank-page cost of writing unfamiliar SQL.
  • Keep generated queries visible instead of hiding analysis behind a proprietary report.
  • Let agents create a first dashboard while humans retain control of definitions and thresholds.

How it works

A reviewable workflow from signal to decision

1

Give the question enough context

Name the table, metric definition, time range, grouping, and expected output. Ambiguous business language produces ambiguous SQL.

2

Review the generated assumptions

Check field types, joins, denominators, null handling, and time boundaries before trusting the chart.

3

Save only the queries that survive review

Use AI for acceleration, not authority. A saved query should be understandable by the next human or agent that maintains it.

Capabilities

What is included

Schema-aware SQL generation
Prompt-to-visualization assistance
Generated SQL remains editable in the Query workspace
Works with the same tables, dashboards, and alerts as human-written analysis
Agent skill and prompt pack for repository-level instrumentation

See the analysis

SQL recipes that use this capability

Start with one production workflow

Use a focused prompt, send synthetic events, and verify the first useful query before expanding coverage.

Open prompt pack