I built a prompt refactoring engine using a Proposer–Critic–Verifier pipeline

I’ve been experimenting with a simple idea: Maybe many unstable LLM outputs are caused not by the model itself, but by badly structured prompts. So I built a web tool that refactors messy prompts into structured prompt specifications. Instead of asking the model to “improve” a prompt once, the system runs an optimization loop: Proposer restructures the prompt Critic evaluates clarity, structure, and task definition Verifier checks consistency Arbiter decides whether another iteration is needed The output is a structured prompt spec with: sections explicit requirements output constraints improved clarity The full optimization usually takes around 30–40 seconds. Demo: https://how-to-grab-me.vercel.app/ What I’m trying to validate now is simple: Should prompt refactoring become a standard preprocessing layer for LLM workflows?