Insights Generator: Systematic Corpus-Level Trace Diagnostics for LLM Agents

arXiv cs.AI·Akshay Manglik (Emily), Apaar Shanker (Emily), Kaustubh Deshpande (Emily), Jason Qin (Emily), Yash Maurya (Emily), Veronica Chatrath (Emily), Vijay S. Kalmath (Emily), Levi Lentz (Emily), Yuan (Emily), Xue

15h ago

·~1 min·5/22/2026·en·1

Quick Take

The Insights Generator automates corpus-level diagnostics for LLM agents, enhancing performance through evidence-backed insights.

Key Points

Manual diagnostics in LLM agents are inefficient and non-scalable.
Insights Generator proposes and tests hypotheses across execution traces.
Human experts improve performance by 30.4 percentage points using IG insights.

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100

Business impact20%0

Novelty (recency)10%99

≥75 high · 50–74 medium · <50 low

Why Featured

The Insights Generator's automation of corpus-level diagnostics for LLM agents offers developers, PMs, and investors a way to enhance model performance and optimize resource allocation based on data-driven insights.