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.
Why Not Just Ask an LLM to Judge Your Prompt?
“LLM-as-a-judge” is popular but fundamentally flawed for prompt evaluation. Here’s why Promptivo takes a different approach.
LLM-as-a-Judge
- Inconsistent: Ask the same LLM to rate the same prompt twice and you may get different scores. Temperature, context window, and model version all affect results.
- 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.
- No structural analysis: LLMs evaluate “vibes” — they can’t systematically count constraints, measure information density, or verify structural compliance.
Promptivo’s Approach
- 100% deterministic: Same prompt, same score, every time. No randomness, no model drift, no version changes affecting your results.
- Research-backed dimensions: Seven metrics derived from peer-reviewed studies on prompt optimization (MePO framework, IFEval benchmarks). Each dimension has measurable, proven impact on LLM output quality.
- 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.
LLMs are powerful generators, but they make unreliable judges. Promptivo gives you the objective, repeatable analysis you need to systematically improve your prompts — 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
Promptivo’s structural analysis is language-agnostic. Write prompts in the language you think in — our engine evaluates structure, not vocabulary.
Full Support
English, German, French, Spanish, Portuguese, Italian, Dutch
Latin-script languages get the most accurate analysis. Sentence boundaries, structural markers, constraint patterns, and vague-word detection all work natively.
Strong Support
Greek, Russian, Ukrainian, Arabic, Hebrew, Hindi, Thai
Non-Latin scripts are fully supported for structural analysis: information completeness, reasoning structure, constraint counting, and format detection. Some English-specific vague-word heuristics may not apply.
Structural Support
Japanese, Chinese, Korean
CJK languages work well for constraint detection, format cues, and completeness analysis. Sentence-boundary heuristics may produce slightly different scores since these languages use different punctuation conventions.
All suggestions and feedback are provided in English regardless of the prompt language. The core scoring dimensions — clarity, precision, reasoning structure, completeness, constraint verifiability, structural compliance, and factual grounding — apply universally to effective prompt design in any language.
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.
Ready to improve your prompts?
Start scoring your prompts for free. No credit card required.
Sign Up Free