In this episode of The Build, Cameron Rohn and Tom Spencer unpack the latest advances in AI memory, creative tooling, and the realities of building in public. They begin by delving into Claude 4’s impact on AI agent development, highlighting how frameworks like Langsmith and the Riverside Tool are accelerating experimentation and facilitating more robust memory architectures. The conversation then shifts to the challenges of integrating hosted MCP connectors and leveraging Quinn 2, emphasizing seamless workflows between Vercel, Supabase, and other leading-edge platforms. They explore the technical decisions behind choosing consumer-grade dev tools versus highly customized solutions, referencing real-world use cases and the Creative Tooling Deep Dive framework. Benchmark evaluation methods are discussed, providing listeners with practical strategies for measuring tool effectiveness and production code reliability. Throughout, Cameron and Tom candidly share their experiences building in public, touching on the importance of community feedback, open sourcing, and iterative product launches. As the discussion wraps up, they underscore the role of Arcade Transition in streamlining deployment pipelines and fostering rapid iteration for startups. The episode concludes with a forward-looking perspective: for developers and entrepreneurs, adopting transparent workflows and leveraging modern AI infrastructure is key to sustainable innovation and long-term success in the evolving landscape of AI-driven products.