This resource provides 101 architectural blueprints for generative AI use cases, inspired by customer examples. The blueprints offer practical starting points for developers and business leaders. They illustrate design patterns and corresponding Google Cloud tech stacks to address real-world challenges across various industries. The guide is organized into 10 major industry groups.For retail, blueprints cover unifying online and in-store experiences, providing real-time inventory for managers, and improving online product discovery. They also include modernizing in-store operations, creating AI assistants for better shopping, and generating unique product descriptions at scale. Additional retail use cases involve visual product search, building real-time recommendation engines, identifying trends from customer feedback, and comparing vendor proposals directly from email. Finally, blueprints address merging duplicate product listings in large catalogs.For media, marketing, and gaming, examples include summarizing commentary into podcasts and building personalized content recommendation engines. These blueprints aim to streamline processes and enhance customer engagement through AI.