Developed comprehensive documentation for the Trip Planner component in the datawhalechina/hello-agents repository, focusing on post-training practices. The work detailed the end-to-end workflow from product protocol adjustments through LoRA SFT evaluation, providing clear guidelines to streamline onboarding and ensure consistent evaluation standards. Leveraging skills in AI training, data analysis, and machine learning, the documentation was authored in Markdown and tracked using Git for maintainability and traceability. This contribution improved knowledge transfer and alignment with product protocols, supporting faster post-training readiness. No bugs were addressed during this period, with efforts concentrated on enhancing documentation discipline and workflow clarity.