Learning Timeline
Key Insights
Advantages of o3-mini + Search
Reasoning models like o3-mini can now be combined with Web Search. This allows the AI to not only write complex code but also solve 'missing assets' issues by finding actual files on the internet.
Troubleshooting Tips
If the game doesn't load the images, ensure the filenames (e.g., 'king.png' vs 'white_king.png') match the names called within the generated Python code.
Prompts
Basic Game Code Generation
Target:
ChatGPT o3-mini
Create a game of chess for me that I can run locally on my computer using Python. Use simple shapes if you don't have assets.
Automatic Image Asset Search
Target:
ChatGPT o3-mini with Search
Find me the chess pieces (images) that I need to make this look like an actual chess game instead of those shapes. Provide a source to download them.
Step by Step
Building a Chess Game with ChatGPT o3-mini & Web Search
- Open ChatGPT and ensure the 'o3-mini' model is selected from the dropdown menu.
- Enter an initial prompt to generate Python code for a chess game that can be run locally.
- Copy the generated code and save it as a Python file (e.g., `chess_game.py`) in a dedicated folder.
- Run the file using a terminal or IDE to ensure the game mechanics (piece movements) work, even without images.
- Enable the 'Search' feature in ChatGPT o3-mini.
- Provide a second prompt instructing the AI to find suitable chess piece assets on the internet.
- Download the image assets from the links provided by ChatGPT.
- Create a new folder named `assets` in the same directory as your Python file.
- Save all chess piece images into the `assets` folder using the filenames required by the code.
- Rerun the Python application to see the full visual display with the actual image assets.
