The Real Python Podcast – Episode #308: Addressing Hidden AI Failures with Practical Oversight Techniques
The episode covers why agentic AI silently fails and how context, checklists, and review loops make outputs verifiable before delivery.
The episode covers why agentic AI silently fails and how context, checklists, and review loops make outputs verifiable before delivery.
Benchmark averages hide a serious reliability problem in LLM agents: a GPT-4.1 ReAct agent scoring 77.4% average success (Mean@5) passed all five repeated runs on only 53% of tasks — a 24.4-point cons…