Calibrating Chaos: Stress-Testing AI Workflows Before Production Breaks Them
Upgrade day is when many AI systems quietly become different products. A model endpoint changes. A prompt is “cleaned up.” An orchestration library updates its defaults. A workflow that previously provisioned resources, checked permissions, deployed a service, and configured monitoring now produces something that looks almost the same. The words are familiar. The step count is close. The similarity score is high enough to let everyone continue their afternoon. ...