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Learn to build a multi-agent AI application using Google's Agent Development Toolkit (ADK) and Gemini in this 11-minute technical tutorial. Follow along as developers Martin Omander and Ayo Adedeji demonstrate creating an AI-powered content collaboration app that helps refine and edit written content through natural conversation. Discover how to architect a system where specialized AI agents work together - including a 'Critic' agent for feedback and an 'Updater' agent for implementing changes - to produce superior results compared to single-agent approaches. Explore the complete development process from initial setup through code implementation, including how to build stateful agents that maintain conversation context and remember previous interactions. Watch a live demonstration of the app changing post tone, generating suggestions, and implementing feedback through chat-based interactions. Examine the underlying code structure and architecture that enables multiple agents to collaborate effectively. Learn deployment strategies for running the complete application on Google Cloud Run, including local testing procedures. Gain insights into building AI applications that go beyond simple first drafts to support iterative content improvement and collaborative workflows.
