Insights Generator: Diagnosing Agent Failures

Many AI agents that perform well in pilots often fail in real-world deployment because identifying the root cause of errors is a major engineering challenge. Scale's new Insights Generator tackles this by analyzing an agent's entire operational history at once to automatically detect and report on systemic failure patterns. This allows engineers to stop manually hunting for individual bugs and instead focus on fixing the most impactful issues, with one study showing it nearly doubled agent performance improvements. By uncovering hidden problems like agents confidently marking incorrect work as successful, the tool helps close the gap between a promising pilot and a reliable deployed system.