Aparna Dhinkaran

This talk addresses the critical need for robust evaluation frameworks for AI agents, moving beyond initial development to production readiness. It emphasizes that as AI agents become more sophisticated, particularly with multimodal and voice capabilities, ensuring their reliability and effectiveness in real-world scenarios requires a structured approach to testing and validation. The core thesis is that comprehensive evaluation at every stage of an agent's operation is essential for scaling success and building trust.