PODCAST — Google ADK Multi-Agent Orchestration: Delegation, Human-in-the-Loop, Callbacks, and Plugins (Part 2)

Prefer reading instead? The full article is available here. The podcast is also available on Spotify and Apple Podcasts. Subscribe to keep up with the latest drops.

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

👉 Enjoyed this episode? Subscribe to The AI Practitioner to get future articles and podcasts delivered straight to your inbox: aipractitioner.substack.com

Get full access to The AI Practitioner at aipractitioner.substack.com/subscribe