In this episode of The Build, Cameron Rohn and Tom Spencer dive into the evolving landscape of AI development, focusing on cutting-edge memory systems and agent architectures. They begin by unpacking the technical intricacies behind GPT-5 and the surge of Chinese open-source models, emphasizing how innovations like Langsmith enhance prompt engineering and agent orchestration. The conversation then shifts to the practical challenges of building scalable AI applications, where they highlight the synergy between platforms such as Vercel and Supabase in streamlining deployment and backend infrastructure. They explore the growing trend of building in public, sharing strategies that leverage transparency to accelerate product iteration and community engagement, particularly through tools like MCP that facilitate collaborative workflows. The hosts also discuss Claude SubAgents and Alpha Earth as case studies in modular AI agent design, illustrating how layered memory systems improve contextual understanding and long-term interaction. Throughout, Cameron and Tom weave in entrepreneurial insights on monetization and startup growth within the AI space, stressing the importance of balancing technical innovation with user-centric product development. They conclude with a forward-looking perspective on how emerging frameworks and open-source contributions will shape the next wave of AI tooling, encouraging developers and founders to embrace iterative building and community-driven progress as foundational to success.