AutoTraceGT Automates Behavioral Taxonomy for Multi-Agent Trajectories
August 30, 2026
AutoTraceGT applies grounded theory to agent trajectory analysis, using an iterative coding pipeline to produce behavioral taxonomies. It recovers 73-91% of failure modes across six corpora, providing an auditable trail from raw trajectory data to high-level behavioral theory.
HOW THIS AFFECTS YOU
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builderYou can use this to automate the identification of edge cases and failure modes in agentic workflows.
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researcherThis offers a principled, scalable method for qualitative analysis of large-scale agent datasets.