Build a Real AI Agent from Scratch — Full Code Tutorial!

In this step-by-step tutorial, you’ll learn how to build a fully functional AI Agent completely from scratch — without using any AI agent framework. Using Google Gemini as the LLM, you’ll implement the core logic of an agent, integrate tool usage, orchestrate reasoning loops, and understand exactly how modern agents work under the hood. This tutorial is perfect for: - Developers who want to understand how agents actually work - Learners exploring LLM-based automation - Anyone wanting a clean, minimal, framework-free implementation What You Will Learn - How to design an AI Agent architecture from zero - How to integrate an LLM (Google Gemini) directly - How to build and register simple tools - How agents decide when and how to call tools - How to create a reasoning-action loop - Full Python implementation explained line by line Tools Implemented in This Tutorial - get_weather → Calls free Weather API - calculate_sum → A simple math demonstration tool GitHub Code Repository Source code for the entire tutorial is available here: https://github.com/junaidalamgithub/agents_from_scratch Get Your Free Weather API Key Sign up here for a free API key to use in the demo: https://www.weatherapi.com/ If you find this tutorial valuable Don’t forget to Like | Comment | Subscribe It helps support the channel and motivates more tutorials!