Building Production-ready AI Agents on Databricks | Agent Bricks Demo
Databricks demonstrates a six-step production AI agent lifecycle on its unified platform
“when something breaks in production, and I assure you, it will. This is the first place to look.”
Databricks showcases 'Agent Bricks,' a six-step framework (index, build, track, record, evaluate, deploy) for building production-ready AI agents entirely within its platform using managed embeddings, Unity Catalog governance, and MLflow tracing. The demo highlights end-to-end observability including per-request cost and latency visibility as a key differentiator for debugging production failures. This is a product demo rather than a major announcement, but signals Databricks' push to own the full agent development lifecycle within its lakehouse ecosystem.