EP 5 - The Build - Agent Architectures: The Next Frontier in AI

In this episode of The Build, Cameron Rohn and Tom Spencer dissect agent architectures and practical tooling for builders aiming to productionize AI systems. They begin by laying out the technical landscape: AI agents, memory systems, authentication strategies, and API integration patterns, referencing the OpenAI Swarm Paper and trade-offs between Swarm vs Triage Model approaches. The conversation then shifts to developer workflows and infrastructure, comparing Langsmith for agent orchestration, Vercel and Supabase for deployment and realtime data, and MCP tools alongside Google Cloud Platform for scaling and observability. They explore technical architecture decisions such as Land Graphs in AI, multi-agent complexity requirements, and how memory systems and authentication influence agent reliability. The hosts tie these discussions to development tools and building in public strategies, describing concrete patterns for building a Seamless Product Chat and how to monetize incremental value while sharing progress openly. Entrepreneurship insights surface around product-market fit, open source/community building, and the role of developer DX in adoption. Throughout, practical examples of API integration, authentication flows, and tooling choices ground the episode. The show closes with a forward-looking statement encouraging developers and entrepreneurs to iterate publicly, prioritize modular architectures, and treat agent design as an evolving engineering discipline to build responsibly and scalably.