Rick W / Friday, November 13, 2026 / Categories: Artificial Intelligence Canva Is Tackling AI Design’s Most Frustrating Problem with Stefano Corazza- #784 In this episode, Stefano Corazza, head of AI research at Canva, joins us to explore how his team is building custom models and agents around iterative design workflows. We discuss the tradeoffs between training models from scratch and adapting open weights models, and how proprietary design data supports specialization. Stefano explains how Craft separates layout planning from pixel generation and how Brush uses design tools and visual feedback to create and revise compositions. We examine the challenges of evaluating design quality beyond a single generation, including the use of vision language models as judges alongside human evaluation. We also discuss lessons from simplifying agent harnesses, why faster inference enables more iterations, and how model ownership creates opportunities to optimize serving costs. Finally, we explore how APIs and MCP are expanding access to these capabilities and what changes when software companies build tools for agents as well as people. ️ Full show notes: https://twimlai.com/go/784. Previous Article Nvidia privately confirmed it could track chips to fight smuggling, even as industry publicly questioned feasibility Next Article How can organizations make unstructured data ready for AI? Print 7 Tags: ModeModeldataAIOptimize