What happens when your AI pipeline starts drifting, hallucinating, or silently degrading output quality — and nobody notices for weeks? In this episode, we break down the emerging practice of "self-healing agent workflows": building specialized monitoring agents that scan logs, detect behavioral drift, and autonomously fix common failures. We explore the current landscape of tools (LangSmith, Braintrust, Arize, Modal), the three-tier deployment model (fully autonomous, human-approval, and escalation), and why the real intellectual property is the triage taxonomy — not the fix logic itself. If you're running agentic pipelines in production and want to avoid death by a thousand paper cuts, this one's for you.
Episode #029980 — open it directly at myweirdprompts.com/029980