Gemini 3 is our most intelligent model yet that helps you bring any idea to life. In this video, you’ll learn how to build an AI Agent with Gemini 3 Pro and the Agent Development Kit (ADK). You’ll explore how to build a single agent with access to Google Search as its tool, and interact with it using a web UI. We will also learn how Gemini 3 Pro uses Thought Signatures and we will explore its chain of thought when the agent receives a prompt.
Resources:
Getting started with uv → https://goo.gle/4a7M7KG
ADK Google Search Tool docs → https://goo.gle/3LGFKUR
Github Repo for the AI Agent built with Gemini 3 Pro →
https://goo.gle/4pq0pep
Timestamps:
0:00 - Introduction to Gemini 3 Pro
0:32 - Initializing the Project & Installing ADK and GenAI libraries
1:25 - Setting up Google AI Studio’s API Key & Creating Agent Scaffolding with ADK Create
2:00 - Implementing the Google Search Tool
2:33 - Configuring the Gemini 3 Pro Model
3:14 - Deploying the Agent to ADK Web
4:29 - Testing the Agent
5:24 - Thought Signatures and Analyzing Chain of Thought
6:40 - Conclusion
Speaker: Smitha Kolan
Products Mentioned: Gemini, Google AI, Agent Development Kit (ADK)
Resources:
Getting started with uv → https://goo.gle/4a7M7KG
ADK Google Search Tool docs → https://goo.gle/3LGFKUR
Github Repo for the AI Agent built with Gemini 3 Pro →
https://goo.gle/4pq0pep
Timestamps:
0:00 - Introduction to Gemini 3 Pro
0:32 - Initializing the Project & Installing ADK and GenAI libraries
1:25 - Setting up Google AI Studio’s API Key & Creating Agent Scaffolding with ADK Create
2:00 - Implementing the Google Search Tool
2:33 - Configuring the Gemini 3 Pro Model
3:14 - Deploying the Agent to ADK Web
4:29 - Testing the Agent
5:24 - Thought Signatures and Analyzing Chain of Thought
6:40 - Conclusion
Speaker: Smitha Kolan
Products Mentioned: Gemini, Google AI, Agent Development Kit (ADK)
- Category
- Artificial Intelligence
- Tags
- Google, developers, pr_pr: AI DevRel (fka Core ML);


Comments