Edge case testing is the practice of deliberately probing a model with inputs that fall outside the comfortable middle of its expected usage — ambiguous requests, hostile phrasing, highly sensitive topics, or inputs that combine multiple challenging features at once. These cases matter because they reveal gaps in a model’s behavior that normal testing misses, and edge cases in production often become the source of high-visibility failures. For behavior architects, building a library of edge cases is an ongoing investment: you add to it as you discover failure modes in real usage, in red-teaming sessions, or through community reports. A good edge case suite is one of the most valuable assets a behavior team can maintain.