In this episode of The Build, Cameron Rohn and Tom Spencer dive into the rapidly evolving landscape of AI agent development and the tools shaping the future of intelligent systems. They begin by examining agentic medical AI and how frameworks like Langsmith are enabling more sophisticated memory systems and context management for AI agents. The conversation then shifts to the technical architecture decisions behind desktop AI tools, highlighting Claude’s Desktop Tools as an example of integrating seamless workflows with local and cloud resources. Next, they explore building in public strategies, emphasizing transparency and community engagement as key drivers for startups navigating the competitive AI ecosystem. They discuss how companies like Vercel and Supabase provide scalable infrastructure and developer-friendly APIs that accelerate product velocity while maintaining robust backend systems. The hosts also analyze MCP tools and their role in streamlining AI development pipelines, reducing friction between prototyping and production. Toward the end, Cameron and Tom unpack the mystery around OpenRouter’s model, reflecting on open-source collaboration and the challenges of balancing innovation with monetization. The episode concludes with a forward-looking takeaway: successful AI entrepreneurship hinges on iterative development, open feedback loops, and leveraging modular architectures to build resilient, impactful products in a fast-moving market. This episode offers valuable insights for developers and founders eager to build with agility and transparency in AI’s next frontier.