In this episode of The Build, Cameron Rohn and Tom Spencer delve into the evolving landscape of ChatGPT connectors and their impact on AI development workflows. They begin by examining OpenAI’s newly released read-only connectors, highlighting how these tools enable deep search capabilities and seamless API integration. The conversation then shifts to the broader implications for developer tools, with a focus on Langsmith’s framework that simplifies building AI agent architectures and accelerates iteration cycles. They explore technical architecture decisions, discussing how platforms like Vercel and Supabase contribute to scalable backend infrastructure and real-time data management for AI-powered applications. The duo also shares insights on building in public, emphasizing transparency in development to foster community trust and accelerate feedback loops. Throughout the episode, Cameron and Tom address entrepreneurship strategies, such as leveraging MCP tools for monetization and streamlining product-market fit in AI startups. Concluding with a forward-looking perspective, they underscore the importance of modular, composable AI workflows and open-source collaboration as key drivers for innovation. Developers and entrepreneurs are encouraged to embrace public iteration and technical experimentation to build impactful AI products that scale efficiently in a rapidly changing ecosystem.