A novel tool that refines AI prompts automatically has reduced iteration times by 73% and slashed output generation from 25 to 7 minutes, addressing core issues like buried intent and missing constraints. By parsing, structuring, and adapting prompts, it not only boosts efficiency but also teaches users to communicate more effectively with AI systems, revealing that the real bottleneck isn't model capability but human-AI interfaces.