video1.0<iframe src="https://www.loom.com/embed/126127cb8a4942f49cda37c7c9ece9fa" frameborder="0" width="1896" height="1422" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14221896Loomhttps://www.loom.com14221896https://cdn.loom.com/sessions/thumbnails/126127cb8a4942f49cda37c7c9ece9fa-c9d4256bc0f4b9f6.gif819.218In this Loom, I walk through how BeastDBx Studio standardizes an enterprise grade Databricks apps project using MCP and agent workflows. I show a three layer architecture with a builder for talking to Delta or Lakebase tables, a services project that exposes the Flask and Swagger endpoints, and a UI project deployed as a Databricks app, all communicating between each other. I also demonstrate scaffolding projects, bundle deployments, and CI setup, then running commands to build, inspect the workspace, and review what is missing like the .env template and git initialization. I requested you to follow the guided next steps and save notes as you go.