How to Build an AI Agent using AI

In this video, let’s use cursor AI to build a neural network-powered Rock Paper Scissors game that actually learns your playing patterns! Unlike traditional RPS games, this AI opponent studies your moves and adapts its strategy to counter your patterns. Whether you are a coder or not, if you follow along this is something you can easily build! It’s really incredible how many exciting things we can build with the help of AI! What Makes This Game Special: * The game features an AI opponent that studies your play patterns * It uses a neural network (think of it as a digital brain) that analyzes your previous moves * The AI agent is the decision-maker that chooses what to play against you based on what it's learned * You can actually see the AI's thought process with prediction bars showing what it thinks you'll play next How It Works: The AI agent works like a smart opponent that: 1. Watches your moves and stores them in its memory 2. Uses its neural network to spot patterns in how you play 3. Make educated guesses about what you'll throw next 4. Choose the counter-move to beat your predicted choice 5. Gets better with every round as it learns from wins and losses Even if you think you're playing randomly, most people have unconscious patterns. It's fascinating to watch as the game gradually discovers these habits and uses them against you!