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Explore the evolution of large language models into sophisticated agentic systems through this 30-minute conference talk recorded live at MLOps World GenAI Summit 2025. Learn how to design, evaluate, and deploy AI agents that can solve real-world business problems reliably in production environments. Discover the core design principles that make agents successful, including reflection, tool use, planning, and collaboration, and understand how these concepts translate into scalable, production-ready systems. Dive into practical evaluation methods for measuring and improving agent performance, covering automated judges, process-level metrics, continuous monitoring, and iterative improvement pipelines. Gain insights into systematic approaches for enhancing agent reliability, efficiency, and user trust in production settings. Master practical tools and workflows for continuous monitoring while learning how LLMs transform into fully capable agentic architectures. Understand the critical balance between building powerful agent systems and implementing robust evaluation frameworks to ensure their success in real-world applications.
