Agent Universe - Part 2

In this episode of The Build, Cameron Rohn and Tom Spencer continue dissecting Agent Universe - Part 2, focusing on practical AI agent development and the infrastructure choices that shape scalable products. They begin by unpacking data hygiene and domain modeling, referencing a past dive into census-like datasets and professional services taxonomies as examples for grounding agent prompts and memory systems. The conversation then shifts to tooling and integration patterns, where Langsmith is highlighted for agent orchestration, MCP tools for monitoring and control, and API integration strategies that tie models to product logic. They explore technical architecture decisions next, comparing serverless deployment on Vercel with edge strategies, persistent indexing using Supabase, and trade-offs between tightly coupled pipelines versus modular microservices. The hosts also discuss developer workflows—local debugging, CI/CD, and observability—and how building in public accelerates iteration through community feedback. Entrepreneurship insights weave through the episode, covering monetization approaches, pricing experiments, and the tension between product-market fit and architectural debt. By moving from concrete data problems to tooling and business strategy, the episode delivers a roadmap for developers and founders: prioritize composable architectures, instrument agents with MCP tools and Langsmith, and build in public to shorten the feedback loop for faster, sustainable growth.