Is My Prompt Clear Enough?
Answer the question directly: a clarity score plus the specific reasons a prompt reads as unclear — vague terms, unstated objective, missing specifics.
View Resource →Prompt Readability Checker resources
Diagnose a prompt's clarity before you send it — explainable scores for clarity, ambiguity, specificity, and structure. Read-only; it never rewrites.
Prompt Readability Checker
Diagnose a prompt before you send it: explainable scores for clarity, ambiguity, specificity, and structure, with observations that name where it is vague.
View Resource →Detect Ambiguity in a Prompt
Surface the ambiguity a model will exploit: vague quantities, hedges, undefined time, open-ended lists, and conflicting instructions — flagged, not fixed.
View Resource →Find Vague Instructions in a Prompt
Words like "good", "engaging", and "professional" feel like instructions but specify nothing. Find them so you know where the prompt leaves things open.
View Resource →See How to Improve Prompt Readability
The first step to a more readable prompt is seeing what hurts readability now. Get the diagnosis — long sentences, stacked clauses — then fix it elsewhere.
View Resource →Prompt Clarity Analysis
A full clarity read-out across four axes, each score explained — so you understand not just how clear a prompt is, but what is driving the number.
View Resource →Prompt Clarity Score
Get a single 0-100 clarity score for a prompt, backed by four sub-scores and the reasons behind them — including conflicting instructions that quietly cut clarity.
View Resource →Prompt Quality Review
A full quality review of a single prompt across clarity, ambiguity, specificity, and structure — what a well-built prompt looks like when it scores well.
View Resource →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.
View Resource →Prompt Structure Analysis
Measure a prompt's structure — headings, lists, sentence length, density — to see whether its shape helps the model or buries the instructions.
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