🚀 Build & Deploy Google ADK Agents with a Custom UI If you’ve been following the Agentic AI space, you know that Google’s Agent Development Kit (ADK) is a powerful code-first framework for building robust, multi-agent systems. But there is a catch: the default development UI is great for debugging, but you can't send it to a client. In this video, I walk you through the end-to-end process of taking an agent from a local environment to a fully deployed production app with a custom, branded interface. We will move beyond localhost and build a real-world interface using Google AI Studio that connects directly to your backend. 🛠️ What We Will Build We are going to build a "Multi-agent" using the Agent Starter Pack, deploy it to Google Cloud Run, and then use Google AI Studio to generate a modern, dark-mode React UI that connects to our agent via API. ⏱️ Chapters 00:00 - Intro & Overview 05:15 - Install Agent Starter Pack (ASP) 05:49 - Create the Agent 08:21 - Install Dependencies 09:02 - Local Testing 11:05 - Cloud Deployment 11:47 - Configure Authentication 12:01 - Handle CORS 13:21 - Build the UI 15:06 - Connect & Launch 📋 Step-by-Step Workflow In this tutorial, we cover these 9 essential steps: Install Agent Starter Pack (ASP): Setting up the environment via Cloud Shell. Create the Agent: Using ASP commands to generate the agent boilerplate. Install Dependencies: Running make install to prepare the environment. Local Testing: Using the ADK web playground to verify agent logic. Cloud Deployment: Deploying the agent to Google Cloud Run. Configure Authentication: Setting the agent to allow public access (unauthenticated invocations) for the demo. Handle CORS: Adding environment variables (ALLOW_ORIGINS) to ensure the UI can talk to the backend. Build the UI: Using a prompt in Google AI Studio to auto-generate a React chat interface. Connect & Launch: Connecting the custom UI to the live Cloud Run agent URL. 🧰 Tools & Technologies Used Google ADK (Agent Development Kit): For agent framework and modularity. Agent Starter Pack (ASP): For rapid setup, CI/CD, and Docker configuration. Google Cloud Run: For serverless production deployment. Google AI Studio: For low-code generation of the frontend UI. Don't forget to like and subscribe if you found this walkthrough helpful!