"Feature Flags and GenAI: Parameterization and Experimentation" is a forward-looking talk that explores the intersection of feature flagging—a technique for enabling or disabling features in software without deploying new code—and Generative AI (GenAI) technologies. The discussion delves into how developers can leverage feature flags to manage and experiment with AI-driven features in a controlled environment. It covers the basics of parameterization, which allows for the dynamic adjustment of GenAI model parameters based on real-time user feedback and operational metrics. The talk emphasizes the importance of experimentation, showcasing how feature flags enable A/B testing and canary releases, thus facilitating iterative improvements and risk mitigation in deploying GenAI capabilities. Practical examples and best practices are provided to illustrate how to effectively integrate feature flags with GenAI projects, aiming to enhance user experiences while ensuring robustness and scalability in software applications.