In this episode of The Build, Cameron Rohn and Tom Spencer explore where to find the next billion-dollar agentic application, diving deep into AI development and entrepreneurship. They begin by unpacking the complexities of API integration and authentication strategies, highlighting how frameworks like Langsmith streamline building sophisticated AI agents while managing secure data flows. The conversation then shifts to the merits of building in public, emphasizing transparency and community feedback as critical tools for refining product-market fit and accelerating iteration cycles. They explore technical architecture decisions, comparing serverless deployments on Vercel with backend solutions powered by Supabase, weighing scalability and developer experience. The hosts also discuss MCP tools and their role in optimizing AI workflows, illustrating how these developer-focused utilities reduce friction in model orchestration and monitoring. Interwoven throughout are insights on startup dynamics amid fluctuating enterprise AI investments, offering practical advice for founders navigating monetization and growth in a cautious funding environment. Concluding with a forward-looking perspective, Cameron and Tom stress the importance of adaptable architectures and open collaboration to unlock innovative agentic applications. For developers and entrepreneurs alike, the episode underscores that success lies in balancing cutting-edge AI tooling with transparent building practices, fostering resilient products that can thrive in evolving markets.