Quality Assessment
Know when agent quality degrades — before your users do.
Prefactor's quality assessment continuously scores agent outcomes against task-specific benchmarks. Spot drift, regression, and degradation in real time, and trigger governance actions automatically when quality drops below threshold.
How quality scoring works
TODO: Explain the scoring methodology — what metrics are tracked, how baselines are established, how scores are computed per agent and per task type. Include screenshots of quality dashboards.
Detecting drift and regression
TODO: Show how Prefactor detects when an agent's quality degrades over time — after a model update, a prompt change, or a data shift. Describe alerting and automatic response capabilities.
Quality as a governance signal
Quality scores feed into Prefactor's composite risk scoring. An agent whose quality is declining can be automatically throttled, sandboxed, or escalated for review — preventing degraded outputs from reaching users while the issue is investigated.