| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.25 | | effectiveRatio | 0.25 | |
| 96.12% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1288 | | 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) | |
| 76.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1288 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "weight" | | 1 | "absolutely" | | 2 | "pulsed" | | 3 | "pulse" | | 4 | "flickered" | | 5 | "predator" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 123 | | matches | | 0 | "felt the sting" | | 1 | "was scared" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 123 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 127 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1280 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1247 | | uniqueNames | 14 | | maxNameDensity | 0.96 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 2 | | Harlow | 2 | | Quinn | 12 | | Inverness | 1 | | Street | 1 | | Tube | 2 | | Raven | 1 | | Nest | 1 | | Market | 2 | | Veil | 1 | | Morris | 5 | | Saint | 1 | | Christopher | 1 | | Detective | 2 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Nest" | | 4 | "Morris" | | 5 | "Saint" | | 6 | "Christopher" |
| | places | | 0 | "Inverness" | | 1 | "Street" | | 2 | "Raven" | | 3 | "Market" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.781 | | wordCount | 1280 | | matches | | 0 | "not the usual tags, but symbols, spirals" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 127 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 49.23 | | std | 34.89 | | cv | 0.709 | | sampleLengths | | 0 | 98 | | 1 | 82 | | 2 | 11 | | 3 | 92 | | 4 | 9 | | 5 | 110 | | 6 | 39 | | 7 | 76 | | 8 | 48 | | 9 | 77 | | 10 | 18 | | 11 | 79 | | 12 | 6 | | 13 | 70 | | 14 | 124 | | 15 | 78 | | 16 | 18 | | 17 | 28 | | 18 | 33 | | 19 | 6 | | 20 | 44 | | 21 | 17 | | 22 | 40 | | 23 | 13 | | 24 | 12 | | 25 | 52 |
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| 96.71% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 123 | | matches | | 0 | "been boarded" | | 1 | "been transformed" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 215 | | matches | | 0 | "was heading" | | 1 | "was not going" |
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| 7.87% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 127 | | ratio | 0.047 | | matches | | 0 | "He never used the same route twice, never spoke on his phone in public, and always—always—checked his six before turning a corner." | | 1 | "Beyond it, a staircase descended into absolute darkness, and the air that came up was wrong—warm, dry, carrying the faint mineral smell of old bones and something sweeter, like incense burned over copper." | | 2 | "The way his partner—her—had stood at the canal edge and known, absolutely known, that something had pulled him under." | | 3 | "Her torch beam caught graffiti—not the usual tags, but symbols, spirals and eyes and names in languages she didn’t recognize." | | 4 | "The woman glanced at it, then at Quinn’s face, and something flickered in her eyes—recognition, or suspicion, or both." | | 5 | "A man stood behind her—olive skin, short curly dark hair, a Saint Christopher medallion at his throat." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1262 | | adjectiveStacks | 2 | | stackExamples | | 0 | "wrong—warm, dry, carrying" | | 1 | "short curly dark hair," |
| | adverbCount | 32 | | adverbRatio | 0.025356576862123614 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.003961965134706815 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 127 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 127 | | mean | 10.08 | | std | 7.29 | | cv | 0.724 | | sampleLengths | | 0 | 18 | | 1 | 20 | | 2 | 10 | | 3 | 27 | | 4 | 2 | | 5 | 7 | | 6 | 14 | | 7 | 17 | | 8 | 9 | | 9 | 18 | | 10 | 8 | | 11 | 22 | | 12 | 8 | | 13 | 3 | | 14 | 8 | | 15 | 9 | | 16 | 4 | | 17 | 15 | | 18 | 22 | | 19 | 6 | | 20 | 14 | | 21 | 13 | | 22 | 3 | | 23 | 4 | | 24 | 2 | | 25 | 8 | | 26 | 1 | | 27 | 2 | | 28 | 16 | | 29 | 3 | | 30 | 13 | | 31 | 20 | | 32 | 15 | | 33 | 21 | | 34 | 4 | | 35 | 2 | | 36 | 14 | | 37 | 9 | | 38 | 14 | | 39 | 10 | | 40 | 4 | | 41 | 2 | | 42 | 13 | | 43 | 4 | | 44 | 33 | | 45 | 7 | | 46 | 7 | | 47 | 7 | | 48 | 5 | | 49 | 2 |
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| 49.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3464566929133858 | | totalSentences | 127 | | uniqueOpeners | 44 | |
| 93.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 107 | | matches | | 0 | "Instead, he pressed something small" | | 1 | "Just a hole and the" | | 2 | "Then she stepped through the" |
| | ratio | 0.028 | |
| 66.73% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 107 | | matches | | 0 | "She had been standing there" | | 1 | "He was twenty-six, maybe twenty-seven," | | 2 | "He never used the same" | | 3 | "She didn’t move." | | 4 | "He froze for half a" | | 5 | "Her boots hammered the pavement," | | 6 | "He cut left down Inverness" | | 7 | "She hurdled it, felt the" | | 8 | "He glanced back." | | 9 | "She gained a meter." | | 10 | "she shouted, though the rain" | | 11 | "He vaulted a low railing" | | 12 | "She took the railing with" | | 13 | "He was heading east, toward" | | 14 | "She knew the place." | | 15 | "He reached the corrugated metal" | | 16 | "She reached it ten seconds" | | 17 | "She swept her torch across" | | 18 | "She knew bone when she" | | 19 | "It was warm to the" |
| | ratio | 0.383 | |
| 30.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 107 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn stood beneath" | | 2 | "The worn leather watch on" | | 3 | "She had been standing there" | | 4 | "Morris had teased her about" | | 5 | "Morris had teased her about" | | 6 | "He was twenty-six, maybe twenty-seven," | | 7 | "Quinn had been tracking him" | | 8 | "He never used the same" | | 9 | "Tonight, he checked his six" | | 10 | "She didn’t move." | | 11 | "He froze for half a" | | 12 | "Quinn was after him before" | | 13 | "Rain slapped her face." | | 14 | "Her boots hammered the pavement," | | 15 | "He cut left down Inverness" | | 16 | "A crate of oranges went" | | 17 | "She hurdled it, felt the" | | 18 | "The courier was fast, but" | | 19 | "He glanced back." |
| | ratio | 0.86 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 107 | | matches | (empty) | | ratio | 0 | |
| 75.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 53 | | technicalSentenceCount | 5 | | matches | | 0 | "He was twenty-six, maybe twenty-seven, with the kind of nervous energy that came from carrying something he shouldn’t." | | 1 | "Her boots hammered the pavement, splashing through puddles that soaked her trousers to the knee." | | 2 | "He was heading east, toward the old abandoned Tube entrance that had been boarded up since before she joined the force." | | 3 | "Another stall offered bone dice, teeth strung on wire, vials of liquid that shifted color when you looked at them." | | 4 | "And somewhere beneath Camden, in a market that moved with the moon, Detective Harlow Quinn stood at the edge of a darkness she had spent three years pretending …" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "she shouted, though the rain swallowed it" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.25 | | effectiveRatio | 0.25 | |