Show notes
AI agents fail in production not from weak models, but from broken tool recovery and unchecked authority. We break down why 62% of companies experiment with agentic workflows while fewer than 10% scale them in any single function. Inside the episode: how the six-part monitor-decide-act loop differs from chatbots and fixed automation, why PlanBench-XL accuracy drops from 51.90% to 11.36% when tools fail, why plan-execute-replan agents increase latency 40-fold, and how to govern analytics agent...
