Prompt Specificity Check
Check whether a prompt pins down the details that matter — length, format, audience, examples, criteria — or leaves them for the model to guess.
Overview
A prompt is specific when it names the concrete anchors a model needs: a length, a format, an audience, examples, success criteria. This loads a prompt that has almost none of them — "write some marketing copy, make it sound good, get them interested" — and shows which anchors are missing out of six. Missing anchors are where the model fills gaps with its own assumptions. The check reports the specificity gap; it does not fill it in.
Workflow
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Paste the prompt
One you suspect leaves the details open.
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Check the six anchors
Length, format, audience, examples, criteria, numbers.
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See what is missing
Each absent anchor is where the model will guess.
Why This Works
- Specificity is concrete anchors — length, format, audience, criteria
- Counting anchors out of six makes the gap measurable
- Missing anchors are exactly where a model fills in assumptions
Best for
- Checking a prompt for missing specifics
- A concrete-anchor audit
- Reducing model guesswork
Not for
- Adding the missing specifics — that's the Prompt Rewriter
- Building a prompt from scratch — that's the Template Builder
Use cases
- Checking a prompt for missing specifics
- A concrete-anchor audit
- Reducing model guesswork