Alex Savage focused on enhancing documentation accuracy for the meta-llama/PurpleLlama repository by updating the Llama Prompt Guard 2 model size references. Using Markdown and Python, Alex aligned the MODEL_CARD.md and related documentation to reflect the correct model version for text classification tasks, addressing potential misconfigurations and reducing user support issues. The work centered on improving clarity and consistency in model deployment guidance, ensuring that users could reliably select the appropriate AI model for their needs. While the scope was limited to documentation, the update demonstrated careful attention to detail and a strong understanding of AI model usage and deployment best practices.