Paste your rough prompt
Type or paste a prompt exactly as you would send it — including the vague or underspecified parts.
VIBE CODING / AI-ASSISTED DEVELOPMENT
Paste a rough prompt and get a clearer, structured rewrite — role, task, context, constraints, and output format — built with rule-based prompt-engineering heuristics, entirely in your browser.
Paste a prompt on the left and click Rewrite prompt to see a structured version here.
Type or paste a prompt exactly as you would send it — including the vague or underspecified parts.
Rule-based checks scan for a role/persona, an explicit task verb, an output-format instruction, constraints, context, and vague adjectives like "good" or "nice" — no LLM call, purely deterministic pattern matching.
What you already specified is kept as-is; what's missing is scaffolded into role, task, context, constraints, and output-format sections you can fill in — shown alongside a checklist of exactly what was detected vs. added.
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No. The rewrite is entirely rule-based and runs in your browser — it detects missing structure (role, task, format, constraints, context) and assembles a template, it does not generate new content with an LLM.
Structuring a prompt with clear role, task, context, constraints, and output format is a well-established prompt-engineering practice that tends to produce more consistent results, but the placeholders it adds still need your input to be useful.
Words like "good," "nice," "clean," or "better" that describe a desired quality without a measurable definition. The checklist flags these so you can replace them with something specific.
No. All detection and rewriting happens client-side in your browser. Nothing you paste is transmitted or stored beyond your own session.
Yes — the role/task/context/constraints/output-format structure applies to most prompt types, though the tool is tuned with coding-related task verbs in mind.
| Feature | MVPHub | ChatGPT prompt-improvement mode | PromptPerfect |
|---|---|---|---|
| No API key or account required | Included | Not included | Not included |
| Shows exactly what was detected vs. added | Included | Not included | Limited |
| Runs entirely client-side | Included | Not included | Not included |
| Deterministic, repeatable output | Included | Not included | Not included |
ChatGPT and PromptPerfect use an LLM to rewrite prompts, which is powerful but non-deterministic and requires an account. MVPHub uses transparent, rule-based detection so the same input always produces the same structured output, with a visible checklist of what changed.
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