Everyone is shipping "AI agents" in 2026. Most of them are a single prompt in a while loop with a brittle JSON parser taped to the side.
A real agent is different. It plans, it calls tools, it recovers from bad tool output, and it stays observable when something goes wrong in production at 3 a.m. That gap — between a demo and a system you can actually operate — is exactly what Google's Agent Development Kit (ADK) was built to close.
I earned the Gemini Enterprise Certified Partner Specialist track recently, and the most useful thing I took away was not a badge. It was a much clearer mental model of how Google wants you to build agents — and where ADK genuinely beats the framework you are probably using today.
This is the hands-on version. No marketing slides. Just what ADK is, how to build a real agent with it, and how it stacks up against LangGraph and CrewAI.
What the Agent Development Kit Actually Is
