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AI Prompt Optimizer — Rule-Based, Private, and Free to Run
A weak prompt is rarely weak because of tone. It is weak because something specific is missing: no role, no audience, no length, no output shape, no example, or a quality word like engaging standing in for an actual instruction. This tool checks a prompt against seven dimensions, names exactly which of them are absent, flags the phrasing problems that quietly degrade output, and rebuilds the prompt into a structured version with your original wording preserved as the task.
Why this tool does not call an AI model
Sending your prompt to a language model to be rewritten would mean an API key sitting in a public web page, a per-request cost on every visitor, and your text leaving your browser. None of those are acceptable for a free tool. Everything here is deterministic instead: fixed dictionaries, word counts, a published weighting and a template. The same prompt always produces the same score, which also means you can learn the rules and stop needing the tool. That is the intended outcome.
The seven dimensions and their weights
The score is a weighted average, published in full so you can judge whether it matches your priorities:
| Task clarity | 22% — at least one explicit action verb. Two or more scores full marks. |
| Context and inputs | 18% — context markers plus enough length to carry real information. |
| Constraints | 16% — a boundary word, and a number paired with a unit such as 500 words or 5 bullets. |
| Output format | 14% — a stated shape: prose, bullets, table, JSON, numbered steps. |
| Role and perspective | 12% — who the model should be while answering. |
| Audience and tone | 10% — who is reading, and in what register. |
| Examples | 8% — a worked example, sample or template. |
Detected issues then subtract from that total, capped at 25 points, so a badly worded prompt cannot score well on structure alone.
What the issue detector looks for
- Vague quality words — good, nice, engaging, relevant, compelling, optimal and similar. Each one looks like an instruction and contains none.
- Conflicting length signals — asking for something short and comprehensive in the same sentence. The model will pick one, and it will not ask which.
- Unresolved opening pronoun — a prompt beginning with it, this or that, with nothing to refer back to.
- Several questions in one prompt — beyond two, later questions are routinely answered thinly or skipped.
- Prohibition without instruction — constraints present but no action verb. Positive instructions are followed far more reliably than negative ones.
- Politeness filler and shouting — both cost tokens and neither raises priority.
The structure it rewrites into
The optimised output follows a fixed order: role, task, context, constraints, output format, quality bar. The order matters. Role first because it changes how everything after it is interpreted. Task before context so the instruction is never buried under reference material. Constraints and format last because they are the parts you will most often edit between runs, and having them at the bottom makes iteration fast. Your original wording is never paraphrased or replaced — it is placed verbatim under TASK, because you know what you meant and the tool does not.
What it cannot do
It cannot judge whether your request is a sensible one, whether the facts you supplied are correct, or whether the model you send it to is capable of the task. It performs structural analysis on text. A perfectly structured prompt asking for something impossible still scores 100. Treat the score as a completeness check, not a quality guarantee.
Frequently asked questions
Does this prompt optimizer use an AI model?
No. It is entirely rule-based, running fixed dictionaries, word counts and a published weighting in your browser. That is deliberate: calling a model would mean an exposed API key, a cost on every visitor, and your text leaving your device. The same prompt always yields the same score.
Does my prompt get sent anywhere or stored?
No. Nothing you type leaves the browser tab. There is no server call, no logging, no account and no analytics attached to the text. You can disconnect from the internet after the page loads and the tool still works.
How is the prompt quality score calculated?
Seven dimensions are scored from zero to a hundred and combined using the weights published above, then detected issues subtract from that total up to a cap of 25 points. The heaviest weight sits on task clarity, because a prompt with no explicit action verb fails regardless of how well the rest is written.
Will the optimised prompt work with any AI model?
The structure it produces is model-neutral and works with any general-purpose assistant. The tool avoids model-specific syntax and hidden tricks precisely because those change between versions and quietly stop working. Clear role, task, constraints and format is the pattern that survives model upgrades.
Does it rewrite my actual wording?
No. Your text is placed verbatim under the TASK heading and never paraphrased. Everything else is scaffolding built around it from the gaps that were detected and from any optional fields you filled in.
Related tools: AI Prompt Token Calculator, Niche Keyword Explorer and Word Counter. For model choice, read our ChatGPT vs Claude vs Gemini comparison.