In this episode of The Build, Cameron Rohn and Tom Spencer dive into the rapidly evolving landscape of AI development and entrepreneurship. They begin by examining the latest advancements in AI agent frameworks, highlighting Langsmith’s role in streamlining agent orchestration and memory management. The conversation then shifts to practical developer tools, emphasizing how platforms like Vercel and Supabase accelerate deployment and backend scalability for AI-driven applications. They explore the resurgence of Retrieval-Augmented Generation (RAG) techniques, debating whether RAG remains a cornerstone in current AI architectures or if emerging memory systems are redefining best practices. The hosts share insights on building in public, discussing how transparent development workflows and community-driven feedback loops, supported by MCP tools, can fuel product iteration and market fit. Throughout the episode, Cameron and Tom emphasize the importance of technical architecture decisions that balance modularity with performance, particularly when designing AI agents capable of contextual memory and real-time data integration. They also unpack entrepreneurial strategies in a SaaS market poised for intense competition, underscoring the need for speed, adaptability, and a clear value proposition. Looking forward, the episode leaves developers and founders with a key takeaway: success in AI-enabled startups demands not only cutting-edge tools but also a commitment to open collaboration and continuous learning in an increasingly crowded ecosystem.