“This report presents the methodology and results of utilizing GPT-4 for CCL24-Eval Task 7 of Chinese Essay Fluency Evaluation (CEFE). The task is divided into three tracks: Identification of Error Sentence Types, Rewriting Error Sentences, and Essay Fluency Rating. We employed a few-shot prompt engineering to guide GPT-4 in performing this task. Our approach integrated fine-grained error analysis with advanced NLP techniques to provide detailed, actionable feedback for students and teachers. Despite some successes, particularly in generating semantically similar and syntactically relevant corrections, our analysis revealed significant challenges, especially in multiple-label classification and the accurate identification of error types. The report discusses these findings and suggests areas for further improvement.”