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Learn how to build production-ready AI agents using Agent Bricks in this 13-minute hands-on demonstration. Discover how to construct a knowledge assistant for R&D teams to query PDF documents containing energy drink formulas, automatically evaluate performance using MLflow traces and custom metrics, and improve responses through natural language feedback without requiring model retraining. Explore the process of orchestrating expert agents from multiple departments including R&D, marketing, and finance into a multi-agent supervisor system capable of answering complex executive questions such as optimal product launch strategies. Master techniques for unifying unstructured data, automating evaluation processes, and streamlining agent tuning through a simple declarative interface that enables rapid development, iteration, and scalable deployment of comprehensive AI systems.
