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Multi-agent systems become powerful when they can adapt, but they become production-ready only when that adaptation is controlled.

In this episode, we continue our Google ADK series and explore how ADK brings flexibility, structure, and reliability to multi-agent execution. We move beyond static workflows into dynamic orchestration: letting an agent decide which agent should act next, when a tool should be called, when a task should be escalated, and how the full execution path can be observed.

You’ll learn:

* How agents delegate work dynamically, including when to introduce Human-in-the-Loop review

* How to build orchestration logic beyond built-in workflow agents, using custom agents, agent-as-tool patterns, and callbacks

* How plugins help apply shared rules and behaviors across every agent in a system

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