Simple guide to build a Google Search AI Agent with Gemini 3.0

Author(s): Sohail Mohammed

Originally published on Towards AI.

Simple guide to build a Google Search AI Agent with Gemini 3.0

Well, the internet is officially broken in the best possible way. Ever since Gemini 3.0 dropped its record-smashing benchmarks, the development world has turned into a high-speed playground. Forget incremental updates; people are already building the impossible: website UI in a snap, portfolios that practically design themselves, and games you can code before your coffee gets cold. This isn’t just an “era,” it’s a tectonic shift that will be unrecognizable in six months. New platforms, breathtaking designs, and killer apps are about to flood the market faster than you can blink. I don’t know about you, but I’m vibrating with equal parts excitement and panic.

This article serves as a comprehensive step-by-step guide on building a Google Search AI Agent using Gemini 3.0, detailing the prerequisites and installation processes for relevant tools and libraries such as Python, Google ADK, and UV. It walks through the creation and initialization of the project and the installation of Google libraries required for the project while highlighting key configurations for generating the Google AI API key. Furthermore, it explains how to set up the AI Agent, modify its code to meet specific requirements, and run the agent effectively using the Agent Development Kit, providing readers with a thorough understanding of the agent construction and its underlying intelligence mechanisms.

Read the full blog for free on Medium.

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Published via Towards AI