ChatGPT Health Identified Respiratory Failure. Then It Said Wait.

What's really happening inside AI agents when they give you the wrong answer? The common story is that smarter models mean safer agents — but the reality is that reasoning traces and final outputs often operate as two entirely separate processes.In this episode, I share the inside scoop on why AI agents fail in production and how to build evals that actually catch it:- Why agents perform worst precisely where the stakes are highest- How reasoning traces routinely contradict an agent's final recommendation- What factorial stress testing reveals that standard benchmarks completely miss- Where to build the four-layer architecture that keeps agents honest in productionOperators who ignore this now will face it later — through customer harm, regulatory pressure, or an insurance policy they can't obtain.Subscribe for daily AI strategy and news.For deeper playbooks and analysis: https://natesnewsletter.substack.com/ Hosted on Acast. See acast.com/privacy for more information.