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My Journey Learning Google ADK: Building AI Agents from Scratch | Part 3
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My Journey Learning Google ADK: Building AI Agents from Scratch | Part 3

Last Updated on February 3, 2026 by Editorial Team

Author(s): Pranav Dhopey

Originally published on Towards AI.

Part 3: Workflow Agents — Building Agent Teams

Welcome back! This is Part 3 of my ADK learning series. Catch up with Part 1 (Basics) and Part 2 (State Management) if you haven’t already.

My Journey Learning Google ADK: Building AI Agents from Scratch | Part 3

Sequential Agent: The Command Helper

This article builds upon previous lessons in the ADK learning series, focusing on creating effective AI agent teams that operate under various workflows: sequential, parallel, and iterative (loop). It illustrates that multiple specialists can produce better results than a single agent handling everything. Each workflow type is demonstrated with code examples, showcasing how teams of agents, when properly orchestrated, can efficiently collaborate to achieve complex tasks while maintaining quality outputs.

Read the full blog for free on Medium.

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