# Anyone know prior research on rewriting a rough prompt per model? > Source: > Published: 2026-07-22 02:29:20+00:00 I've been kicking around an idea and want to read up before I build it. The idea: you type a rough, half-formed prompt, an LLM works out what you actually mean, and then rewrites it into a specific, optimized prompt tuned for each target model (Claude, GPT, Gemini, etc.). Before I start building, I'd love to find prior work. Specifically, I'm looking for: Is this already well-studied and I'm just searching the wrong terms? If you've run across papers, GitHub repositories, or blog posts tackling model-specific prompt adaptation, please drop them in the comments below! What keywords should I actually be searching for?