This interview podcast features Elad Gil speaking with Jesse Zhang, co-founder of Decagon, a company building enterprise-grade generative AI for customer support. The conversation covers Zhang's background, Decagon's technology (focusing on transparency and explainability), and the impact of their AI agents on customer service metrics for clients like Built Rewards (resulting in a reduction of 65 support agents). The discussion also explores technological limitations of current AI agents, particularly concerning latency in voice-based support and the challenges in quantifying ROI for certain applications. Finally, they touch upon the unique community of AI founders with math olympiad backgrounds and the collaborative support within that network.
