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The application of machine learning in architecture has raised important concerns regarding creativity, authorship, and the usability of AI-generated outputs. An existing limitation is that many generative workflows produce visually compelling images but they remain as visual residue. They may demonstrate rich architectural qualities, but they are detached from the design workflow. This thesis exp
