Signals: Trajectory Sampling and Triage for Agentic Interactions

“Researchers propose a lightweight sampling and triage system for analyzing agent trajectories, addressing the scalability challenge of reviewing multi-step LLM interactions. This enables cost-effective post-deployment improvements for agentic AI systems now operating at scale, without requiring exhaustive human review or auxiliary LLM evaluation of every interaction.”