Video by Google for Developers

Build an AI Agent with Gemini 3

Estimated read time: 1:20

    Summary

    This video titled 'Build an AI Agent with Gemini 3' by Google for Developers introduces the Gemini 3 model, which is their most intelligent model to date, designed to help bring any concept to reality. It guides viewers on how to construct an AI Agent using Gemini 3 Pro and the Agent Development Kit (ADK). The tutorial covers building a singular agent with Google Search as its tool and interacting with it through a web user interface. An intriguing part of the video is learning about Gemini 3 Pro's Thought Signatures and its reasoning process when receiving prompts.

      Highlights

      • Build an AI agent step-by-step with Gemini 3 Pro, Google’s smartest model! 🤖
      • Discover the seamless integration with Google Search tools for enhanced capabilities 🔍
      • Explore the Agent Development Kit (ADK) to bring your innovative ideas to life 💡
      • Engage with your AI via an intuitive web UI 🌐
      • Get insights into Thought Signatures to see how your AI thinks! 🧠
      • Experience the cutting-edge intelligence of Gemini 3 Pro in action 🚀

      Key Takeaways

      • Learn to build an AI Agent using Gemini 3 Pro 🤖
      • Explore the power of the Agent Development Kit (ADK) 🛠️
      • Interact with your AI through a web UI 🌐
      • Understand Thought Signatures for better AI interaction 🧠
      • Experience the intelligence of Google’s most advanced model yet 🚀

      Overview

      In this fascinating video by Google for Developers, dive into the world of AI development with Gemini 3, the company's most intelligent creation yet! You'll embark on an informative journey to create an AI agent using Gemini 3 Pro and Google's Agent Development Kit (ADK).

        This tutorial is your gateway to understanding how to implement Google Search into your AI agent, making it an effective tool for any developer. The intuitive web user interface makes interacting with your agent not only possible but enjoyable.

          One of the most exciting aspects disclosed is Gemini 3 Pro's ability to utilize Thought Signatures, providing a glimpse into its thought processes and decision-making prowess. Discover how easy it is to manifest your abstract ideas into reality with Google's latest technological marvel.

            Chapters

            • 00:00 - 00:30: Introduction to Gemini 3 In the introduction to the video 'Build an AI Agent with Gemini 3', we learn that Gemini 3 is Google's most advanced model designed to help bring ideas to life. The video aims to teach viewers how to build an AI agent using Gemini 3 Pro and the Agent Development Kit (ADK). The focus is on creating a single agent that can utilize Google Search and interact through a web UI. Additionally, the introduction hints at a deeper dive into Gemini 3 Pro's Thought Signatures and its decision-making chain when responding to prompts. The segment sets the stage for further exploration of these features in the video.
            • 00:30 - 01:00: Understanding the Agent Development Kit (ADK) In this chapter, the focus is on understanding the Agent Development Kit (ADK) within the context of developing an AI agent using Gemini 3. The video introduces Gemini 3 as a highly advanced model that brings ideas to life. Viewers are guided through the process of building an AI agent with Gemini 3 Pro, specifically utilizing the ADK. This involves creating an AI agent that can leverage Google Search as a tool and communicate through a web interface. Furthermore, the chapter delves into Gemini 3 Pro's Thought Signatures and its cognitive process when handling prompts.
            • 01:00 - 01:30: Building a Single AI Agent with Google Search The chapter "Building a Single AI Agent with Google Search" is part of a video titled "Build an AI Agent with Gemini 3" by Google for Developers. The video focuses on Gemini 3, Google's most advanced AI model, designed to bring innovative ideas to life. Throughout this chapter, viewers learn how to build an AI agent using Gemini 3 Pro along with the Agent Development Kit (ADK). The aim is to construct a single agent equipped with Google Search, and users can interact with it via a web interface. Moreover, the chapter delves into the utilization of Thought Signatures by Gemini 3 Pro and examines the agent's reasoning process upon receiving a prompt.
            • 01:30 - 02:00: Interacting Through Web UI This chapter focuses on the process of interacting with an AI Agent through a Web UI. It provides insights into building an AI Agent using Gemini 3 Pro and the Agent Development Kit (ADK). Additionally, it covers how to enable the agent to access Google Search as its tool and highlights the significance of Thought Signatures in understanding the agent's chain of thought.
            • 02:00 - 02:30: Exploring Thought Signatures in Gemini 3 Pro In this chapter titled "Exploring Thought Signatures in Gemini 3 Pro," the video "Build an AI Agent with Gemini 3" by Google for Developers introduces the concept of Thought Signatures within the context of Gemini 3 Pro. This segment, covering the time range from 02:00 to 02:30, delves into how Gemini 3 Pro, Google's most advanced model, employs Thought Signatures to enhance its processing capabilities. The video aims to demonstrate the development of an AI agent using the Gemini 3 Pro model and the Agent Development Kit (ADK). It highlights building a singular agent equipped with Google Search as its tool, interacting through a web user interface, and provides insights into the thought processing chain when a prompt is received.

            Build an AI Agent with Gemini 3 Transcription

            • Segment 1: 00:00 - 02:30 This is a video titled "Build an AI Agent with Gemini 3" by Google for Developers. Video description: 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.