• Evaluate AI-driven workflows supporting early-stage architectural design • Assess design problems related to space planning, structure, materials, reuse, and carbon performance • Review and analyze environmental, material, and building datasets • Advise on improvements to computational logic and workflow robustness • Compare AI-generated outputs with academic research methods • Test prototypes of multi-agent AI workflows that assess trade-offs across venue designs