Real-time production evaluation for AI agent runs.
Features
- Per-run agent scoring
- Real-time regression detection
- Behavioral drift monitoring
- Production-scale observability
- Evaluation views for engineering teams
Use Cases
- Production-agent quality monitoring
- Release regression detection
- Prompt-change evaluation
- Customer-scenario performance analysis
FAQ
Prefactor is a real-time evaluation layer for deployed AI agents. It scores every run and surfaces quality regressions and behavioral drift as they happen, helping engineering teams understand agent performance at production scale instead of relying only on pre-release eval sets. Core capabilities include: Per-run agent scoring, Real-time regression detection, Behavioral drift monitoring.
Common scenarios include: Production-agent quality monitoring, Release regression detection, Prompt-change evaluation.
