How can food safety professionals determine whether an AI tool is accurate, reliable, and fit for its intended use? In this hands-on session, participants will apply a structured framework to benchmark AI performance, verify AI-generated outputs, and compare human and AI-assisted approaches to food safety tasks. Working in groups, participants will compare general-purpose and purpose-built AI tools and assess the quality and reliability of their outputs. Facilitated discussions will also explore practical implementation needs and barriers. Participants will leave with a practical understanding of how benchmarking and verification support fit-for-purpose validation and defensible use.