In this episode of The Build, Cameron Rohn and Tom Spencer dissect OpenAI’s recent Codex release and explore the implications of the new IO device, a collaboration between OpenAI and Jony Ive’s startup. They begin by unpacking how Codex is redefining developer workflows, emphasizing its integration capabilities with platforms like Vercel and Supabase for rapid prototyping and deployment. The conversation then shifts to the IO device as the potential “operating system of your life,” sparking discussion about the technical architecture required to support persistent, context-aware AI agents. They explore the use of frameworks such as Langsmith for managing complex agent interactions and highlight the importance of MCP tools in orchestrating multi-component AI systems. Cameron and Tom share practical strategies for building in public, including transparent iteration cycles and leveraging community feedback to refine product-market fit. They also discuss the challenges of scaling AI-powered startups, from choosing the right infrastructure to navigating monetization paths in a rapidly evolving landscape. The episode concludes with a forward-looking perspective, encouraging developers and entrepreneurs to embrace open source frameworks and community-driven development. The key takeaway: success in AI and device innovation will hinge on thoughtful technical choices, iterative public building, and a relentless focus on user experience.