Building Production-Ready AI Agents on Databricks | Agent Bricks Demo

A production AI agent follows one lifecycle on Databricks: index, build, trace, register, evaluate, deploy. Watch Samantha Wise walk through it, from a managed Vector Search index and agent-as-code to MLflow Tracing, Unity Catalog registration, MLflow evaluation with custom guardrails, and deployment to a real-time endpoint with a review app. 🎯 What You'll Learn: • How to build a governed agent with managed Vector Search and the agent-as-code pattern • How MLflow Tracing shows retrieval, tool calls, latency, tokens, and cost per request • How to evaluate agents with built-in and plain-Engl