Seven simple steps for log analysis in AI systems

Magda Dubois; Ekin Zorer; Maia Hamin; Joe Skinner; Alexandra Souly; Jerome Wynne; Harry Coppock; Lucas Sato; Sayash Kapoor; Sunishchal Dev; Keno Juchems; Kimberly Mai; Timo Flesch; Lennart Luettgau; Charles Teague; Eric Patey; JJ Allaire; Lorenzo Pacchiardi; Jose Hernandez-Orallo; Cozmin Ududec

arXiv · 2604.09563

Seven simple steps for log analysis in AI systems

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Abstract

AI systems produce large volumes of logs as they interact with tools and users. Analysing these logs can help understand model capabilities, propensities, and behaviours, or assess whether an evaluation worked as intended. Researchers have started developing methods for log analysis, but a standardised approach is still missing. Here we suggest a pipeline based on current best practices. We illustrate it with concrete code examples in the Inspect Scout library, provide detailed guidance on each step, and highlight common pitfalls. Our framework provides researchers with a foundation for rigorous and reproducible log analysis.

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Magda Dubois, Ekin Zorer, Maia Hamin, Joe Skinner, Alexandra Souly, Jerome Wynne, Harry Coppock, Lucas Sato, Sayash Kapoor, Sunishchal Dev, Keno Juchems, Kimberly Mai, Timo Flesch, Lennart Luettgau, Charles Teague, Eric Patey, JJ Allaire, Lorenzo Pacchiardi, Jose Hernandez-Orallo, Cozmin Ududec. 2026-02-13. Seven simple steps for log analysis in AI systems. https://arxiv.org/abs/2604.09563

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