When an AI trace tells you something is degrading, who decides what happens next?
8/10This article highlights the gap in AI observability beyond issue detection, emphasizing the need for decision-making protocols when LLM runtime behavior degrades yet request metrics appear normal. It calls for clear escalation processes and actionable responses integrated into AI operational workflows to maintain production reliability.
