In most Gen AI workflows, there is no middle ground between the designer and the AI tools. About 90% of Gen AI use cases in architecture are either creating precise renderings, where the designer does 70% of the job, and AI does 30%, or creating creative concepts, where AI does 70% of the work, and the designer does only 30% of the work.

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This workshop aims to find a middle ground, the Negotiable Space, between the designer and Gen AI tools, where the designer neither fully controls AI nor passively accepts what it generates, but instead cultivates a shared human AI latent space where both agents contribute to the design process.

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To do this, participants created parametric patterns using Rhino and Grasshopper, transformed those patterns into architectural spaces with the help of ComfyUI using models like SDLX, Flux, and Gemini 3 Image Pro. By the end of the workshop, participants will have developed an iterative workflow that connects parametric logic, generative AI interpretation, and contextual design visualization.​