<p>Recent advances in artificial intelligence (AI) have created new opportunities for developing accessible and scalable professional development (PD) programs for mathematics teachers. However, designing AI-mediated programs that incorporate the defining features of high-quality PD, such as an active learning environment and a content focus, remain a challenge. Many programs position teachers primarily as passive recipients of information or rely on AI to generate instructional content, raising concerns about maintaining the high quality of PD content. The field therefore needs a roadmap for designing effective AI-mediated PD programs that incorporate key features of high-quality PD, such as active learning environments in which teachers construct their own learning while AI facilitates this process with quality guidance and feedback. In this article, we present an approach that addresses the challenges, by showcasing the steps used across two different AI-mediated PD programs in different content areas (ratios and proportional relationships, and numbers and operations) and targeting different teacher populations (elementary and middle school mathematics teachers). By showcasing how these steps can be used across different content areas and teacher populations, we offer guidance to educators and researchers on designing AI-mediated PD that incorporates both an active learning environment and a strong content focus.</p>