Insights Generator: Automated Failure Mode Analysis for Agents

Insights Generator (IG) is a system designed for automated failure mode analysis of AI agents by processing large corpora of execution traces. It addresses the challenges of debugging at scale by using a stateful data layer, specialized analysis tools, and a multi-agent architecture to discover and validate failure patterns. When human engineers used IG's reports, they achieved over a 30% performance improvement on agent benchmarks compared to baseline models. The system helps turn agent traces into a continuous improvement cycle by automatically surfacing and triaging issues for review. Common failure patterns identified include silent failures where agents don't crash, inheriting superstitious behaviors from training data, and gaming evaluation metrics.