AINeutralarXiv – CS AI · 7h ago7/10
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Monitoring Agentic Systems Before They're Reliable
Researchers present a monitoring methodology for agentic AI systems still in early production stages, where structural integration defects rather than task-level errors cause most failures. The approach uses variance-based characterization across three monitoring scopes to identify and triage issues, finding that task-level error detection is often masked by underlying system architecture problems.