Why Most AI Agent Deployments Fail

AI agent reliability comes from earned autonomy: clear grading, measured promotion, and automatic demotion when quality drifts. The recurring failures - review traps, demo gaps, and trust collapse - all come from treating supervision as binary. Use the manufacturing pattern: qualify outputs against acceptance criteria, spot-check after competence, and define a failure budget before one visible mistake becomes a shutdown.