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 →Prompt Utilities
Before you send a prompt, see how clear it actually is. Paste it for a read-only clarity diagnosis — explainable scores for clarity, ambiguity, specificity, and structure, with observations that name exactly where it's vague or unstated. It diagnoses; it never treats: to clean it there's the Prompt Cleaner, to rewrite it the Prompt Rewriter, to reshape it the Prompt Formatter. Runs entirely in your browser; your prompt is never changed or sent anywhere.
Paste the prompt you're about to send. It is analyzed, never modified — and nothing leaves your browser.
Surface the ambiguity a model will exploit: vague quantities, hedges, undefined time, open-ended lists, and conflicting instructions — flagged, not fixed.
View Resource →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 →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 →Answer the question directly: a clarity score plus the specific reasons a prompt reads as unclear — vague terms, unstated objective, missing specifics.
View Resource →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 →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 →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 →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 →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 →Measure a prompt's structure — headings, lists, sentence length, density — to see whether its shape helps the model or buries the instructions.
View Resource →Fix an unreliable prompt the methodical way instead of poking at it — find what's actually unclear, rewrite for specificity, cut the noise, then prove the new version beats the old one.
View Playbook →Design a system prompt that holds up in production — define the role precisely, engineer the behavior and guardrails on top of it, then check it reads clearly before you ship.
View Playbook →Paste a prompt and pick an analysis strictness (Lenient, Balanced, or Strict). The Clarity Analysis Engine reads it deterministically — never modifying it — and reports across five sections: a Readability Overview (overall clarity score and length), a Clarity Analysis (is the objective stated, how many actionable instructions, how many hedges), an Ambiguity Analysis (vague quantity, vague quality, undefined time, open-ended lists, unclear references, possibly undefined terms, and conflicting instructions — each flagged with its count and the matched terms), a Structure Analysis (headings, lists, paragraphs, average sentence length, and how many of six concrete anchors are present), and Readability Scores — four explainable 0-100 scores for clarity, ambiguity, specificity, and structure, plus an overall. It ends with Observation Notes that name and locate where clarity may suffer. Strictness tunes how aggressively borderline vague terms are flagged. Everything runs in your browser, the report shows analysis only, and the tool changes nothing — it diagnoses, and points to the Prompt Cleaner, Rewriter, or Formatter for the actual fix.
Problems visible versus problems removed. The Prompt Cleaner makes issues disappear — it strips redundancy and noise and hands you a cleaned prompt. This tool makes them visible — it flags ambiguity, names vague terms, and scores clarity, then hands you back the original, unchanged. One acts on the prompt; the other diagnoses it. They pair naturally: diagnose here, then clean there if the diagnosis calls for it.
Diagnosis versus treatment. The Prompt Rewriter transforms a prompt into a stronger version — it produces new wording. This tool describes where clarity suffers and produces no new wording at all. It will tell you "the objective is not explicitly stated" or "several instructions use broad quality terms"; it will never tell you what to write instead. That deliberate line — name the problem, never prescribe the fix — is what makes it a checker and not a rewriter.
The Prompt Formatter restructures a prompt into a cleaner shape — it reorganizes the text. This tool measures structure (headings, lists, sentence length, density) and reports on it, but it never reshapes anything. It can tell you the prompt is one long run-on sentence with no headings; turning that into a clean structure is the Formatter's job.
It observes and locates, but never rewrites. The Observation Notes are allowed to say where clarity suffers — "a possible tension was detected between concise and comprehensive" — but they will never say "replace this with…" or produce a corrected prompt. The tool's whole value is an honest diagnosis that leaves your prompt untouched; for the actual fix it points you to the Cleaner, Rewriter, or Formatter.
Each score is deterministic and explained. Clarity weighs whether the objective is stated and how many actionable instructions there are, minus hedging. Ambiguity starts at 100 and subtracts for each vague term, unclear reference, undefined term, and — heavily — each conflicting instruction. Specificity counts how many of six concrete anchors are present. Structure weighs headings, lists, and sentence length. Every score line states what drove it, so you can see the reasoning, not just the number. They are heuristics, not a model's judgment — useful as a consistent, transparent signal.
How aggressively borderline ambiguity is flagged — a detection sensitivity, not a cleaning aggressiveness. Lenient flags only the clearest vague terms; Strict adds a wider set of softer subjective words and hedges. The structural and specificity analysis is the same at every level; strictness only widens or narrows the ambiguity dictionaries, so a prompt that passes Lenient may pick up a few flags under Strict.
No. The whole tool runs in your browser with deterministic analysis — no AI, no server round-trip, no upload. Your prompt never leaves the page and is never modified; the report contains analysis only. Copy or download the diagnosis yourself.