Beyond Infrastructure: Engineering a Fail-Safe System for AI Agent Autonomy

AI agents introduce unique failure modes like hallucinations and logic spirals that traditional CPU or memory monitoring cannot detect. Implementing a response pipeline centered on decision-level telemetry—such as confidence scores and token burn rates—is essential for maintaining reliability in autonomous systems. This shift from infrastructure to reasoning-based monitoring represents the next critical evolution in site reliability engineering.