Deterministic scoring · No LLM in the loop
Write Better Prompts, Get Better Results
Promptivo analyzes your AI prompts across seven quality dimensions and gives you clear, actionable advice to improve them — instantly, with no AI calls required.
Try it now — score a prompt
Paste a prompt below and get an instant quality assessment. No signup, no AI calls, your prompt is never stored.
Why Not Just Ask an LLM to Judge Your Prompt?
An LLM judge sets a useful quality standard — but it is a poor everyday meter. Promptivo distills that standard into a deterministic engine, so you keep the signal and drop the costs.
LLM-as-a-Judge
- No fixed standard: Different models — and different versions of the same model — judge the same prompt differently, so your quality baseline moves whenever the judge changes. Ambiguous prompts get the least stable scores of all.
- Self-serving bias: LLMs tend to rate prompts as “good” if they can produce a plausible answer — even when the prompt is vague and would produce wildly different outputs across models.
- Expensive at scale: Every evaluation costs API tokens. Iterating on a prompt 10 times means 10 API calls just for scoring.
- Privacy risk: Your prompt (potentially containing proprietary context) is sent to a third-party model for evaluation.
- A number, not a diagnosis: a holistic judge tells you a prompt is mediocre — not which mechanical property to fix. It doesn’t count constraints, measure information density, or check structural compliance.
Promptivo’s Approach
- 100% deterministic: Same prompt, same score, every time. No randomness, no model drift, no version changes affecting your results.
- Judge-calibrated, then frozen: Seven research-backed dimensions (MePO framework, IFEval benchmarks), each calibrated against 22,500 LLM-judge evaluations of public benchmark prompts — the judge’s standard without the judge’s drift, cost, or data exposure.
- Zero cost per evaluation: No API tokens consumed. Score as many prompts as your plan allows with no marginal cost.
- Complete privacy: Deterministic analysis runs server-side with zero data retention. No LLM sees your prompt. No third-party calls. Ever.
- Actionable, not vague: Instead of “this prompt could be clearer,” you get specific suggestions: add constraints, quantify requirements, specify output format — with examples.
An LLM judge is a standard-setter, not a meter you can afford to run on every keystroke. Promptivo froze that standard into an engine that scores instantly, identically, and privately — so you can iterate freely, then let the LLM do what it does best: generate great output from a great prompt.
7 Quality Dimensions
Every prompt is evaluated across clarity, precision, reasoning structure, completeness, constraint verifiability, structural compliance, and factual grounding.
Instant Actionable Advice
Get a clear verdict and prioritized suggestions you can apply right away. Know exactly what to fix first for maximum improvement in LLM responses.
No AI Calls Needed
Scoring uses deterministic linguistic analysis — no LLM calls, no latency, no cost per evaluation. Results in milliseconds.
Works Across Languages
Structural signals — formatting, lists, length, numeric constraints — are detected in any language. The full linguistic analysis is English-first today; here is what to expect by language.
Full Analysis
English
English prompts get the complete analysis: all seven dimensions, every linguistic signal — imperative detection, vague-word analysis, readability, constraint patterns — and calibrated scores.
Partial Analysis
German, French, Spanish, Portuguese, Italian, Dutch, and other Latin-script languages
Structural signals work: formatting, lists, length, numeric constraints, and technical tokens. English-specific language signals don’t apply, so an equivalent prompt scores lower than it would in English.
Structural Signals Only
Greek, Russian, Arabic, Hebrew, Hindi, Thai, Japanese, Chinese, Korean
Formatting, length, and technical-token analysis only. Expect systematically lower scores than the same prompt written in English — the number reflects detected structure, not your prompt’s full quality.
All suggestions and feedback are provided in English regardless of the prompt language. The seven quality principles apply to prompt writing in any language, but today the engine measures them most accurately in English — full multilingual scoring is on our roadmap.
Why Prompt Quality Matters
Clarity is King
In studies of over 5,000 prompt pairs, clarity was the single highest-impact dimension. Removing clarity caused the largest performance drop across all benchmarks — bigger than any other factor.
Precision Over Verbosity
Replacing vague words with specific terms, quantifying requirements, and naming concrete methods leads to measurably better outputs — without making prompts longer.
Constraints That Work
Positive constraints roughly double compliance rates vs. negative ones. Stating each requirement explicitly and separately, rather than burying them in prose, can improve adherence by 20–30%.
Works Across Models
Well-structured prompts perform consistently across different AI models and sizes. Quality-focused prompts avoid the pitfall of being over-tuned for one specific model.
Examples Beat Descriptions
Prompts with a 2–3 line output template achieve up to 3× better format compliance than description-only prompts. A few lines of structure are worth paragraphs of description.
Less Scaffolding, More Signal
Elaborate chain-of-thought templates add little when the prompt is already clear. Heavy reasoning scaffolding can even overwhelm smaller models — keep reasoning cues short.
Your Privacy, Our Priority
Zero Retention
We do not store or process the prompts you submit beyond the instant of scoring. Once your result is delivered, your prompt is gone.
No Third Parties
Your prompts are never transmitted to any third-party company for evaluation, training, or any other purpose. Everything runs on our servers.
No AI in the Loop
Scoring is fully deterministic — no LLM calls, no external APIs. Your data never leaves the scoring engine.
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