A web app that scores your prompt across a five-dimension rubric, asks clarifying questions, rewrites it with your answers, and compares the outputs side by side — the methodology turned on prompt engineering itself.
Most prompt "improvement" is vibes. Prompt Polish Studio makes it checkable: a deterministic rubric scores the prompt across five dimensions, and a low score isn't a verdict — it's a worklist. The app asks exactly the questions the rubric flagged, folds your answers in, and re-scores. The studio's first publicly shipped project — a hackathon entry that proved a multi-step AI agent pipeline could ship under deadline.
The five-dimension rubric is the constraint, written down first — clarity, specificity, context, constraints, output format. It's the bar the prompt is measured against, before any rewriting happens.
The model generates clarifying questions for whatever the rubric flagged, then rewrites the prompt incorporating your answers — turning a vague ask into a specific, well-formed one.
The rubric re-scores the rewrite and the app runs an A/B compare of the outputs, side by side — so the improvement is shown, not asserted. Below the bar, it loops.
Prompt Polish Studio is a React app that takes a rough prompt to a well-formed one and proves the gain with a side-by-side. It didn't win its hackathon, but it shipped — the studio's first public proof that a working multi-step AI agent pipeline could land under deadline.