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In this 39-minute conference talk from Data Council's AI Engineering series, learn how to identify and solve error cascades in multi-turn AI systems. Dhruv Singh, Co-Founder & CTO of HoneyHive AI, shares practical insights from building agents and RAG chatbots, demonstrating real-world failure examples where errors compound across interactions. Discover how to implement "eval agents" specifically tuned on real-world interactions to evaluate and improve agent performance. Gain valuable perspectives on trajectory evaluation techniques essential for accurate assessment of agent behavior. Perfect for developers working on interactive AI systems who want to understand and mitigate cascading errors in their applications.
