AI Prompt Checker

What is the AI Prompt Checker?

The AI Prompt Checker is a free tool that reviews a prompt you paste and rates it out of 10 for its intended use. It explains the score, lists the prompting techniques the prompt uses and misses, suggests specific improvements and writes an enhanced version. Use it to tighten a prompt before you run it.

How to use the AI Prompt Checker

1. Paste the prompt you want reviewed into Your prompt.
2. Pick its Use case: General, Writing, Code, Research, Analysis or Marketing.
3. Press Check prompt.
4. Read the rating and its reasoning, then Framework Analysis, Technique Evaluation and Specific Improvements. The first time, sign up free to reveal them.
5. Copy the Enhanced Version and run it beside your original on the same input.

What can an AI prompt checker catch?

The defects that live in the text: an output format never defined, an audience never named, a length never bounded, an "etc." standing in for the rest of a list, a pronoun with no referent, two instructions that cannot both be satisfied. The checker also looks for missing techniques such as examples, step-by-step reasoning and output formatting, and for vagueness that invites the model to invent.

How should you read the prompt score?

As a summary, not a measurement. The score is colour-coded: 8 and above green, 5 to 7 amber, below 5 red. The useful parts sit under it: which techniques are in use or missing, and the specific improvements. Those you can confirm by looking at your prompt.

Use it to compare a prompt with its own rewrite, such as the version the AI prompt optimizer produces, not with someone else's prompt.

What are the most common prompt mistakes?

No stated output format, so the model chooses one. No example, on a task where showing beats describing. No role, on a task whose answer depends on who is answering. No instruction for what to do when the model is unsure, which is where quiet invention comes from. And no bound on length, so answers arrive at whatever length the model finds natural rather than the one you can use.

What does each part of the prompt check report mean?

The rating and its reasoning give the overall verdict. Framework Analysis says how well the prompt covers the parts a structured prompt usually carries, such as context, role, instructions, steps and examples. Technique Evaluation lists the techniques it uses and the ones it misses, such as few-shot examples, step-by-step reasoning and output formatting. Specific Improvements are the concrete changes it recommends. The Enhanced Version is a full rewrite, and the Pro Tip, when it appears, is one principle to carry into your next prompt.

Start with Technique Evaluation. The missing list is short and concrete, and each item maps to a line you can add yourself.

Does the use case change how a prompt is checked?

Yes. The checker critiques the prompt for the use case you pick, so the same text can score differently under Code and under Writing. A code prompt is expected to name the language, the versions and the expected output; a writing prompt is expected to name the audience, tone and length; a research prompt is expected to say what counts as a source.

Pick the use case the prompt will really be used for. Choosing General to get a friendlier score only hides the gaps that matter.