A new research paper introduces a seven-step pipeline for analyzing AI system logs. The authors utilize the Inspect Scout library to provide concrete code examples and a reproducible foundation for behavioral assessment. This framework addresses the current lack of standardization in log processing. Practitioners can now apply these rigorous steps to evaluate model propensities.