Contributed focused documentation enhancements to the stanfordnlp/dspy repository, delivering a new set of prompt optimization resources centered on G-Eval evaluation metrics. The work involved technical writing in Markdown, centralizing external resources such as a Medium article, a GitHub repository, and a video tutorial to streamline onboarding and knowledge sharing. By integrating evidence-based evaluation techniques, the documentation now supports measurable prompt optimization and lays the foundation for future testing and QA processes. No bug fixes were reported during this period, as efforts concentrated on improving documentation quality and enabling faster iteration cycles for ongoing and upcoming experiments within the project.