My wife bought me a Huski Beer Cooler 2.0. It’s a stainless steel can insulator — the kind of thing you slip your can into so your beer (or Coke, if you’re me during this experiment) stays cold. Now, I’m a developer. I don’t take things on faith. I take them on data. And the question burning in my mind was: does this thing actually do anything? My wife’s answer: “Yes, obviously, it’s insulated.

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.

I have a URL Shortener available at https://short.ohare.id.au/. Note that the database backing this service may be removed at any time, so any shortened URLs should be considered temporary.