Description
Agentic design exploration marks a new frontier in sustainable architecture, shaped through partnerships like Autodesk and LA28. In this real-world case study, you'll see how the approach aligned design, cost, and climate goals. By combining domain expertise with AI workflows, the team addressed ambitious targets using agent-based tools across the project's site, building, and assembly scales integrating codes, performance, and program needs. These workflows enabled rapid generation and refinement of design options, helping identify high-performing, buildable solutions earlier, reducing carbon and costs. You'll compare where AI-driven workflows succeed, where they fall short, and how to apply them at scale.
Key Learnings
- Learn about how industry partnerships shape the development of agent-based AI systems across site, building, and assembly scales.
- Learn about the role of collaboration between designers, researchers, and stakeholders in advancing AI-driven design tools.
- Learn about design alternatives using AI-driven exploration to reduce carbon, cost, and project risk.
- Learn about applying agentic design methods to deliver high-performing, buildable solutions more efficiently at scale.
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