Automate Your Entire Team: Build a Google Chat Agent in 15 Mins

Описание: Unlock the power of Google Agent Development Kit (ADK) by learning how to build, customize, and deploy AI agents directly into Google Chat—where your users actually work! If you are looking for Google ADK tutorials, how to build AI agents, and Google Chat integration guides, you have come to the right place

In this comprehensive walkthrough, we’ll cover a real-world real estate compliance use case, demonstrate a working agent, and guide you step-by-step through the technical setup, deployment, and integration process.

Whether you’re a developer, product manager, or business leader, this video will help you understand the practical challenges and solutions for deploying AI agents in environments your users already use every day.

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📖 Chapters & Timestamps

00:00 Introduction: The Critical Question About Agent Deployment
00:25 Understanding Google Agent Development Kit (ADK)
00:53 Real Estate Use Case: Compliance Challenges
01:22 Deploying Agents Where Users Actually Work
01:48 Demo: Real Estate Compliance Agent in Google Chat
03:12 Analyzing Compliance Issues in Property Listings
04:43 Architecture Overview: Components and Workflow
06:22 Step 1: Creating the Base Agent with Agent Starter Pack
08:42 Testing the Agent in Development UI
10:07 Customizing Agent Code for Real Estate Compliance
10:46 Deploying the Agent to Google Cloud Run
12:45 Step 2: Creating the App Script Integration
14:58 Step 3: Configuring Google Chat API
16:23 Conclusion: Deploying Agents Where Users Are

💡 What You’ll Learn
Why it’s critical to deploy agents where your users already work
How to use Google ADK to build powerful, compliant AI agents
Real estate compliance challenges and how agents can help
Step-by-step technical setup: from code to Google Cloud Run deployment
Integrating your agent with Google Chat using App Script and API configuration
Best practices for agent deployment and user adoption

If you found this video helpful, please let us know in the comments and share your own use cases or questions!