In this episode of The Build, Cameron Rohn and Tom Spencer dive into the evolving landscape of agent architectures in AI, offering practical insights for developers and entrepreneurs. They begin by unpacking the challenges of memory systems and API integration within modern AI agent frameworks, referencing hands-on experiences with tools like Langsmith and MCP. The conversation then shifts to the importance of robust technical architecture, where choices between platforms such as Vercel, Supabase, and Google Cloud Platform directly impact scalability and authentication strategies. Next, they explore building in public, highlighting how transparency accelerates iteration and fosters community feedback—particularly when experimenting with open-source projects like the VEO model and leveraging workflows such as Figma-to-Claude. The hosts also discuss emerging business opportunities, including an AI micro evaluations platform and a security-focused SOC2 Agent Swarm, emphasizing the value of rapid prototyping with tools like Arena Battle Playground and Cloudflare for secure deployments. Throughout the episode, Rohn and Spencer draw on real startup challenges, from integrating authentication to comparing agent performance in Request Arena, illustrating the intersection of technical precision and entrepreneurial agility. They conclude by encouraging developers to embrace experimentation and public iteration, underscoring that the frontier of AI agent development is defined by both technical innovation and the courage to build openly in community.