Agent Reliability

Agent reliability measures how consistently an AI agent produces correct, complete, and timely results across varied inputs and conditions. Reliability is the gating factor for production deployment — an agent that works 80% of the time is a demo; an agent that works 99% of the time is a product. Improving reliability requires systematic testing, graceful degradation (doing less rather than doing wrong), and monitoring systems that catch reliability regressions before users do.