Example Automations
Tic Tac Toe Agent
Building a game-playing AI agent with complex decision logic
This example demonstrates how to create an intelligent agent that can play Tic Tac Toe against a computer opponent, showcasing complex decision-making and canvas-based interactions.
Video Demonstration
What This Example Shows
Complex Act Commands
- Using natural language to describe game strategies
- Multi-step planning and execution
- Adaptive decision-making based on game state
Game Logic Implementation
- Understanding game rules and win conditions
- Strategic move selection
- Defensive and offensive play strategies
Canvas Environment Handling
- Interacting with HTML5 canvas elements
- Clicking on specific grid positions
- Visual recognition of game pieces
Key Techniques Demonstrated
- Canvas Interactions: Precise clicking on canvas grid cells
- Game Logic Implementation: Understanding game rules and win conditions