Build a Multi-Agent GenAI System

In this hands-on demo, see how Agent Bricks makes it easy to build high-quality, production-ready AI agents — without wrangling infrastructure or writing complex code.

We’ll walk through how to:

• Build a knowledge assistant for an R&D team to query PDFs of energy drink formulas
• Evaluate performance automatically using MLflow traces and custom metrics
• Improve answers with natural language feedback using agent learning — no retraining needed
• Orchestrate expert agents from multiple departments (R&D, marketing, finance) into a multi-agent supervisor that can answer your CEO’s toughest questions, like “What flavor should we launch next?”
• You’ll learn how to unify unstructured data, automate evaluation and streamline agent tuning — all from a simple declarative interface
• :chart_with_upwards_trend: From one agent to a full AI system, Agent Bricks lets you build fast, iterate faster and scale with confidence