The integration of Generative AI in architectural design offers unparalleled opportunities for design innovation, characterized by the creation of complex, nuanced semantic universes. This paper explores the convergence of AI with various design-based disciplines, aiming to reimagine the design process through a multi-layered strategy. It proposes a unique AI-native workflow for the seamless integration of diverse design concepts, with the primary goal of investigating the capabilities of Creative AI in architectural design and its potential to combine various design fields into a cohesive workflow that addresses the limitations of current generative AI models when applied in architectural design [1]. By employing a trifold methodology consisting of sequential city sections, semantic encoding, and crafting semantic universes, the project utilizes contextual 3D data from Chicago and conducts a comprehensive synthesis across nine design domains, thereby creating a rich ‘semantic universe’ that serves as the foundation for AI-driven design generation.