I recently worked through a tutorial using Google’s Agent Development Kit (ADK), a Python framework for building multi-agent AI workflows. The tutorial used a fun premise: an AI pipeline that researches historical figures and generates full movie pitches, complete with plot outlines, box office projections, and casting suggestions. What is Google ADK? The ADK lets you compose multiple AI agents into pipelines using three core building blocks: SequentialAgent — runs sub-agents one after another, passing state between them LoopAgent — repeatedly runs sub-agents until a termination condition is met (using exit_loop) ParallelAgent — runs sub-agents concurrently and merges their outputs Agents communicate through a shared state dictionary, which tools can read and write via a ToolContext object.