CC leak: skills are better than I thought

8 hours ago

Automated evaluations detect errors before they reach decision-makers, ensuring trusted data agents.
Self-serve data access allows teams to move fast with trustworthy answers.
Measure data agent performance to catch gaps and regressions that could harm business decisions.
Build ground truth by curating expected answers to key questions like revenue and churn as benchmarks.
Run evaluations automatically after agent updates or schema changes, eliminating manual checks.
Identify divergences from ground truth and uncovered query types to prevent bad numbers from reaching stakeholders.
Fix root causes by updating documentation or schemas and re-running evaluations to confirm.
Evaluations surface regressions in minutes, catching errors early before they impact presentations.
Ground truth is team-curated, ensuring trust based on facts about the business, not generated by models.
Coverage grows by identifying tested and untested query types, with suggestions based on actual team usage.
dardar integrates data schema, metric definitions, and documentation to reference business-specific logic.

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