Practical Guide on how to build an Agent from scratch with Gemini 3
Read OriginalThis technical guide provides a practical walkthrough for constructing an AI agent from the ground up using Google's Gemini 3 Pro model and its Python SDK. It explains the core components of an agent (model, tools, memory, loop) and demonstrates the iterative process of observing, thinking, and acting. The tutorial progresses from basic text generation to creating a functional command-line interface (CLI) agent, including code examples for tool definition and execution.
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