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Build Your First AI Agent with Gemini 3 Pro: Complete Step-by-Step Guide

Content Introduction

This tutorial provides a complete walkthrough for creating an AI agent using Google's Gemini 3 Pro model and ADK (Agent Development Kit), covering project setup, tool integration with Google Search, and deploying to ADK web for interactive use.

Key Information

  • 1Uses Gemini 3 Pro for advanced reasoning and complex instruction following
  • 2Google ADK (Agent Development Kit) for agent scaffolding and deployment
  • 3UV Python package manager for project initialization
  • 4Google Search tool integration for real-time information retrieval
  • 5Chain-of-thought reasoning visualization in ADK web interface
  • 6Deployment to web-accessible agent interface

Content Keywords

#Agent Scaffolding

ADK command-line tool that creates basic agent structure with one command

#Chain-of-Thought Reasoning

Gemini 3 Pro's ability to show step-by-step thinking process and search queries

#Google Search Tool

ADK integration that gives agents real-time web search capabilities

#ADK Web Deployment

Deploying agents to web interface for interactive testing and use

#Thought Signature

Gemini 3 Pro feature that helps model understand conversation context

Related Questions and Answers

Q1.What are the main components needed to build an AI agent with Gemini 3 Pro?

A: Requires Google AI Studio API key, UV Python package manager, Google ADK library, and Google JDI library for building and deploying agents with web search capabilities.

Q2.How do you initialize a new AI agent project?

A: Use 'adk create [agent-name]' command which creates scaffolding and prompts for model selection, then customize the agent.py file with specific instructions and tools.

Q3.What makes Gemini 3 Pro suitable for agent development?

A: Gemini 3 Pro excels at advanced reasoning, complex instruction following, and features thought signature for context understanding, making it ideal for building sophisticated AI agents.

Q4.How can you visualize the agent's reasoning process?

A: ADK web interface provides events tab that shows chain-of-thought, including search queries, websites accessed, and the step-by-step reasoning process behind responses.

Q5.What practical example demonstrates the agent's capabilities?

A: The tutorial shows an agent finding horse riding lessons in Toronto, demonstrating how it performs multiple targeted searches, checks accessibility, and provides categorized recommendations with sources.

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