The Blind Spot of Agentic AI Systems — When Nobody Notices the Agent Is Stuck

Agentic AI systems fail silently. They don't recognize when they're stuck in a loop, when an approach is fundamentally wrong, or when external input is needed. This is a practitioner's analysis of a documented, largely ignored problem with data, real incidents, and three minimal steps to fix it. An Agent Spinning and Nobody Stops It A typical scenario from agentic development in practice: An AI agent cycles through solution approaches, endorses them, revises them and only looks up external API documentation when explicitly asked. Not proactively. Not on its own initiative.