MONITORING AGENT QUALITY

Quality baselines
for AI agents

RunSentry scores every autonomous agent execution against cohort baselines. Catch regressions before they reach production. Know exactly when quality drifts.

$ runsentry run --cohort baseline-005
├─ onboarding flow PASS score: 0.94
├─ task creation PASS score: 0.91
├─ landing page gen WARN score: 0.78 (baseline: 0.85)
├─ email quality PASS score: 0.89
└─ overall cohort PASS 88/100
 
1 warning: landing_page_gen drifted -8.2% from baseline

How it works

Run agent cohorts through standardized quality checks. Compare against baselines. Surface drift automatically.

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Cohort Baselines

Establish quality benchmarks from controlled agent runs. Every future execution is measured against the cohort standard.

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Regression Detection

Automatic alerts when agent output quality drifts below threshold. Catch model degradation, prompt rot, and pipeline breaks.

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Execution Scoring

Every agent run gets a structured score across completeness, correctness, and consistency dimensions.

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Pipeline Integration

Wire RunSentry into CI/CD. Block deploys that degrade agent quality. Quality gates for the agent era.

Quality at a glance

Real-time scoring across your entire agent fleet.

94%
Cohort Pass Rate
12ms
Scoring Latency
3
Active Warnings

QA for the agents that do the QA

Every autonomous agent deserves a quality bar. RunSentry makes that bar measurable, trackable, and enforceable across every execution cohort.