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Google just released a massive update to the Agent Development Kit (ADK), introducing the Visual Agent Builder. This new feature changes how we architect AI workflows, allowing developers to design complex multi-agent systems without writing a single line of configuration code. In this video, I take you inside the new interface to build a Hierarchical Stock Analysis Agent from scratch. We move beyond simple prompts and construct a robust system featuring an Orchestrator, Sequential logic, and specialized sub-agents grounded with Google Search. Disclaimer: The views and opinions expressed in this video are my own and do not necessarily reflect the official policy or position of my employer, MIT, or Google. This content is not sponsored unless explicitly stated. In this tutorial, we cover: The Setup: How to launch the ADK web server and access the new Visual Builder. The Architecture: Understanding Root Agents, Orchestrators, and Sequential flows. Tool Integration: Connecting your agents to real-time tools like Google Search and Vertex AI. AI-Assisted Design: Using the built-in AI assistant to auto-generate YAML configuration files for you. Live Demo: Testing the agent to analyze Apple ($AAPL) stock fundamentals and news. While ADK remains a developer-centric framework, this visual layer dramatically accelerates the prototyping phase. By the end of this video, you’ll understand how to move from a visual design to a deployable API. Coming Next: I am planning a follow-up video where we take this exact agent, deploy it, and build a custom front-end UI using Google AI Studio’s Vibe Coding. Let me know in the comments if you want to see that! Timestamps: 0:00 - Introduction to Visual Agent Builder 0:25 - Launching the ADK Web Server 1:10 - Designing the Multi-Agent Architecture 2:15 - Using the AI Assistant to Generate Code 3:45 - Reviewing the Generated YAML Files 4:30 - The "Stock Analyzer" Logic 5:10 - Live Demo: Testing the Agent 6:00 - Why this matters for Developers 6:45 - Next Steps: Custom UI & Deployment