On "The Agent Said It Was Done. The Database Disagreed."

AI agents hallucinating task completion while databases sit empty is exactly what happens when you treat LLM outputs as ground truth instead of proposals. The real risk isn't that agents are dumb—it's that they're confident enough to convince humans they've finished work they haven't. For anyone deploying agents in production, this should kill the "set it and forget it" fantasy. You need hard state verification at every step, not just conversational confirmation. The agent's certainty is noise. What matters is what actually changed in your systems.