Iterative Cognitive Refinement Protocol (ICRP): A Novel Framework for Quality Enhancement in Large Language Model Outputs Through Multi-Stage Iteration

I have discovered a recurring error pattern in all AI systems: when you raise the quality standard of any task too high, the AI tends to make mistakes. However, when you perform multiple iterations — for example, a first, second, and third version of a paper — and use two or more AIs to review and correct the work before asking the main AI to apply those corrections across several iterations, it will complete the task more accurately and improve with each cycle.