| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "She hesitated then [then]" |
| | dialogueSentences | 19 | | tagDensity | 0.737 | | leniency | 1 | | rawRatio | 0.071 | | effectiveRatio | 0.071 | |
| 92.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 653 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 23.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 653 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "vibrated" | | 1 | "measured" | | 2 | "scanning" | | 3 | "dancing" | | 4 | "traced" | | 5 | "pulsed" | | 6 | "etched" | | 7 | "furrowed" | | 8 | "racing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 29 | | matches | (empty) | |
| 44.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 29 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 34 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 650 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 49.71% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 349 | | uniqueNames | 8 | | maxNameDensity | 2.01 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Veil | 2 | | Market | 1 | | Camden | 1 | | Harlow | 1 | | Quinn | 7 | | Eva | 6 | | Kowalski | 1 | | Compass | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Eva" | | 3 | "Kowalski" | | 4 | "Compass" |
| | places | | | globalScore | 0.497 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 22 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 46.15% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.538 | | wordCount | 650 | | matches | | 0 | "not toward the market’s heart, but toward a crumbling archway draped in shadows" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 34 | | matches | (empty) | |
| 6.25% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 7 | | mean | 92.86 | | std | 15.96 | | cv | 0.172 | | sampleLengths | | |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 29 | | matches | (empty) | |
| 92.47% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 62 | | matches | | |
| 58.82% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 34 | | ratio | 0.029 | | matches | | 0 | "\"Or the victim was facing the killer.\" She traced a sigil carved into the tarp—a twisted knot of lines that pulsed faintly with a sickly green light." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 351 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 7 | | adverbRatio | 0.019943019943019943 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.017094017094017096 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 34 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 34 | | mean | 19.12 | | std | 8.36 | | cv | 0.437 | | sampleLengths | | 0 | 22 | | 1 | 19 | | 2 | 22 | | 3 | 23 | | 4 | 20 | | 5 | 22 | | 6 | 15 | | 7 | 15 | | 8 | 23 | | 9 | 6 | | 10 | 27 | | 11 | 18 | | 12 | 9 | | 13 | 19 | | 14 | 9 | | 15 | 31 | | 16 | 4 | | 17 | 18 | | 18 | 32 | | 19 | 26 | | 20 | 19 | | 21 | 3 | | 22 | 17 | | 23 | 33 | | 24 | 29 | | 25 | 3 | | 26 | 25 | | 27 | 24 | | 28 | 20 | | 29 | 4 | | 30 | 25 | | 31 | 29 | | 32 | 23 | | 33 | 16 |
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| 79.41% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5294117647058824 | | totalSentences | 34 | | uniqueOpeners | 18 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 29 | | matches | (empty) | | ratio | 0 | |
| 40.69% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 29 | | matches | | 0 | "She wore round glasses perched" | | 1 | "She traced a sigil carved" | | 2 | "She pulled the Veil Compass" | | 3 | "She gestured at the tarp" | | 4 | "She pulled a magnifying glass" | | 5 | "She held up a shard" | | 6 | "She pocketed the compass, her" | | 7 | "She looked at Eva, her" | | 8 | "She hesitated, then pulled a" | | 9 | "She held up the token," | | 10 | "She stood, her bearing rigid" | | 11 | "She turned, her gaze fixed" | | 12 | "She didn’t wait for Eva," |
| | ratio | 0.448 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 28 | | totalSentences | 29 | | matches | | 0 | "The Veil Market’s entrancewas a" | | 1 | "Detective Harlow Quinn’s worn leather" | | 2 | "A low hum vibrated through" | | 3 | "Quinn’s military precision kept her" | | 4 | "The scent of ozone and" | | 5 | "She wore round glasses perched" | | 6 | "Eva murmured, her voice low" | | 7 | "Quinn crouched, her sharp jawline" | | 8 | "She traced a sigil carved" | | 9 | "She pulled the Veil Compass" | | 10 | "The brass casing, etched with" | | 11 | "The needle spun wildly before" | | 12 | "Quinn stated, her voice tight" | | 13 | "Eva’s freckled complexion paled." | | 14 | "She gestured at the tarp" | | 15 | "She pulled a magnifying glass" | | 16 | "She held up a shard" | | 17 | "Quinn’s brow furrowed." | | 18 | "She pocketed the compass, her" | | 19 | "She looked at Eva, her" |
| | ratio | 0.966 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 29 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 9 | | technicalSentenceCount | 2 | | matches | | 0 | "Quinn’s military precision kept her steps measured, her gaze scanning the shadows where flickering gas lamps cast dancing patterns on damp stone walls." | | 1 | "The scent of ozone and damp earth hung thick, masking the faint, metallic tang of copper that prickled her nostrils." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 6 | | matches | | 0 | "Eva murmured, her voice low but urgent" | | 1 | "Quinn stated, her voice tight" | | 2 | "She pocketed, her mind racing" | | 3 | "She looked, her eyes sharp" | | 4 | "She held up, its surface smooth and unmarked" | | 5 | "She stood, her bearing rigid" |
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| 44.74% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "Eva murmured (murmur)" | | 1 | "Quinn stated (state)" |
| | dialogueSentences | 19 | | tagDensity | 0.105 | | leniency | 0.211 | | rawRatio | 1 | | effectiveRatio | 0.211 | |