Peer-Review Comment Refinement Workflow (PRCRW)
I first explored whether AI tools could assist with reviewing academic manuscripts. Through this testing, I found that while AI could identify some obvious issues and improve efficiency, it also missed important methodological concerns. This experience showed me that AI should not replace the human reviewer’s judgment in evaluative academic work.
Based on this finding, I developed the Peer-Review Comment Refinement Workflow (PRCRW): a reusable, open-sourced workflow that uses structured prompts and iterative refinement to improve the clarity, professionalism, and organization of peer-review comments while preserving the reviewer’s original intent. Rather than asking AI to conduct the review, this workflow keeps the human reviewer in charge and uses AI only to refine how the feedback is communicated.
AI use: efficiency · iteration · agentic prompting · human oversight
Output: A reusable workflow for refining peer-review comments in a clear, professional, and reproducible way while keeping human expertise central.
