Replaying previous user conversations with candidate models allows labs to preview real-world behavior before public release. This simulation complements traditional red-teaming by identifying risks that targeted evaluations miss. AI Alignment Forum researchers use this privacy-preserving method to catch failures early. It provides a concrete safety signal for practitioners managing high-capability LLMs.