This podcast features an interview with Nathaniel Whittlemore (NLW) about the future of AI agents. The discussion begins by defining AI agents and clarifying the common confusion surrounding the term, emphasizing the practical distinction between AI tools users interact with directly and those that operate autonomously. NLW then shares his company's work in assessing organizational readiness for AI agents, focusing on currently achievable use cases involving repetitive tasks. He highlights the importance of starting with simple, AI-assisted workflows before aiming for full automation, citing examples like social media management and podcast production. Finally, the conversation touches upon challenges like AI hallucinations and the need for robust evaluation methods in enterprise settings.
