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Prompt optimizer that refactors messy prompts using a P-C-V pipeline

Prompt optimizer that refactors messy prompts using a P-C-V pipeline

by siris950·Mar 13, 2026·1 point·0 comments
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AI Analysis

●MidShip It

Yet another prompt optimizer when PromptPerfect and built-in model tools already exist.

Strengths
  • •P-C-V pipeline with Arbiter convergence detection shows thoughtful iteration design
  • •Prompt diff viewer and version history useful for tracking optimization changes
  • •30-40 second optimization loop is reasonable for multi-iteration refinement
Weaknesses
  • •Prompt optimization is a crowded category with established players
  • •Vercel domain and generic branding suggest early MVP without clear differentiation
Category
AI/ML
Target Audience

AI developers and prompt engineers

Similar To

PromptPerfect · AIPRM · FlowGPT

Post Description

I built a small web tool that tries to automatically refactor messy prompts into structured prompt specifications.

The motivation was simple: most prompts people write are poorly structured, which often leads to unstable AI responses.

So I implemented a Proposer–Critic–Verifier optimization pipeline.

Proposer restructures the prompt. Critic evaluates clarity, structure, and task definition. Verifier checks consistency. Arbiter detects convergence.

The system runs several iterations and produces a structured prompt specification.

It usually takes around 30–40 seconds to run the full optimization loop.

The tool also includes: • prompt quality analysis • explain mode • version history • prompt diff viewer

Demo: https://how-to-grab-me.vercel.app/

Would love to hear if people building AI tools find something like this useful.

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