| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn said quietly [quietly]" |
| | dialogueSentences | 32 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.083 | | effectiveRatio | 0.063 | |
| 83.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1479 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
| | 3 | | | 4 | |
| | highlights | | 0 | "very" | | 1 | "completely" | | 2 | "deliberately" | | 3 | "slowly" | | 4 | "carefully" |
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| 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) | |
| 66.19% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1479 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "glistening" | | 1 | "trembled" | | 2 | "methodical" | | 3 | "pulse" | | 4 | "familiar" | | 5 | "structure" | | 6 | "could feel" | | 7 | "silence" | | 8 | "unspoken" |
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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 | 0 | | narrationSentences | 82 | | matches | (empty) | |
| 73.17% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 82 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 60 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1491 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 1112 | | uniqueNames | 10 | | maxNameDensity | 0.72 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Harlow | 1 | | Quinn | 8 | | Yardley | 2 | | Adam | 1 | | Morris | 1 | | Inspector | 1 | | Carl | 1 | | Fenchurch | 7 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Yardley" | | 4 | "Adam" | | 5 | "Morris" | | 6 | "Inspector" | | 7 | "Carl" | | 8 | "Fenchurch" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like white chalk but, given the fa" |
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| 65.86% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.341 | | wordCount | 1491 | | matches | | 0 | "not burned, not frostbitten, but blackened in a way" | | 1 | "not frostbitten, but blackened in a way" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 100 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 42.6 | | std | 32.67 | | cv | 0.767 | | sampleLengths | | 0 | 97 | | 1 | 31 | | 2 | 92 | | 3 | 5 | | 4 | 29 | | 5 | 80 | | 6 | 84 | | 7 | 63 | | 8 | 20 | | 9 | 46 | | 10 | 13 | | 11 | 67 | | 12 | 3 | | 13 | 47 | | 14 | 89 | | 15 | 39 | | 16 | 11 | | 17 | 19 | | 18 | 4 | | 19 | 20 | | 20 | 117 | | 21 | 7 | | 22 | 7 | | 23 | 69 | | 24 | 27 | | 25 | 13 | | 26 | 4 | | 27 | 34 | | 28 | 89 | | 29 | 50 | | 30 | 12 | | 31 | 78 | | 32 | 10 | | 33 | 62 | | 34 | 53 |
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| 92.43% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 82 | | matches | | 0 | "were blackened " | | 1 | "was — seemed" | | 2 | "been made" |
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| 93.05% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 187 | | matches | | 0 | "was checking" | | 1 | "was looking" | | 2 | "was talking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 100 | | ratio | 0.07 | | matches | | 0 | "She registered the body first — a man in his late thirties, face down on the platform, one arm outstretched toward the wall as though he'd been reaching for something." | | 1 | "Not wrong in the way that bodies were always wrong at crime scenes — the unnatural angles, the stillness that no living thing could replicate." | | 2 | "His fingertips, where they stretched toward the wall, were blackened — not burned, not frostbitten, but blackened in a way that reminded her of ink stains soaked through paper." | | 3 | "She photographed them with her phone, noting how the chalk — if that's what it was — seemed to pulse with the faintest hint of light when her shadow fell across it." | | 4 | "It should have — the crack was wide enough, the wall beyond hollow — but the light simply stopped at the surface, swallowed whole." | | 5 | "This man's core was warm — she could feel it radiating up through his arm — but his extremities were frozen solid." | | 6 | "In the forensic light, she could see what she'd missed on her first pass — footprints." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1104 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.03260869565217391 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.009963768115942028 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 14.91 | | std | 11.35 | | cv | 0.761 | | sampleLengths | | 0 | 13 | | 1 | 32 | | 2 | 22 | | 3 | 30 | | 4 | 17 | | 5 | 14 | | 6 | 29 | | 7 | 30 | | 8 | 6 | | 9 | 27 | | 10 | 5 | | 11 | 26 | | 12 | 3 | | 13 | 3 | | 14 | 4 | | 15 | 25 | | 16 | 48 | | 17 | 14 | | 18 | 13 | | 19 | 29 | | 20 | 3 | | 21 | 5 | | 22 | 2 | | 23 | 15 | | 24 | 3 | | 25 | 6 | | 26 | 25 | | 27 | 32 | | 28 | 10 | | 29 | 10 | | 30 | 2 | | 31 | 25 | | 32 | 19 | | 33 | 6 | | 34 | 7 | | 35 | 19 | | 36 | 21 | | 37 | 27 | | 38 | 3 | | 39 | 15 | | 40 | 32 | | 41 | 14 | | 42 | 11 | | 43 | 3 | | 44 | 15 | | 45 | 22 | | 46 | 10 | | 47 | 14 | | 48 | 10 | | 49 | 5 |
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| 66.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.42 | | totalSentences | 100 | | uniqueOpeners | 42 | |
| 86.58% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 77 | | matches | | 0 | "Somewhere overhead, the rumble of" | | 1 | "Then she registered the wall" |
| | ratio | 0.026 | |
| 38.18% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 77 | | matches | | 0 | "She registered the body first" | | 1 | "She already had." | | 2 | "She crouched beside the body," | | 3 | "His fingertips, where they stretched" | | 4 | "She leaned closer." | | 5 | "His eyes, half-open, were dry." | | 6 | "She had seen plenty of" | | 7 | "They always wept." | | 8 | "She straightened and examined the" | | 9 | "She photographed them with her" | | 10 | "He was a man who" | | 11 | "She kept her voice even" | | 12 | "He moved down the platform," | | 13 | "He stopped beside the body" | | 14 | "She walked the length of" | | 15 | "They weren't random." | | 16 | "She knelt and held her" | | 17 | "It should have — the" | | 18 | "She kept her voice casual" | | 19 | "He was checking his phone," |
| | ratio | 0.455 | |
| 44.42% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 77 | | matches | | 0 | "The abandoned Tube station beneath" | | 1 | "Detective Harlow Quinn ducked beneath" | | 2 | "The station platform stretched before" | | 3 | "PC Yardley materialized at her" | | 4 | "Quinn's brown eyes swept the" | | 5 | "She registered the body first" | | 6 | "Someone had chalked a series" | | 7 | "Yardley hesitated, and Quinn watched" | | 8 | "She already had." | | 9 | "The body was wrong." | | 10 | "She crouched beside the body," | | 11 | "The man's skin had a" | | 12 | "His fingertips, where they stretched" | | 13 | "She leaned closer." | | 14 | "His eyes, half-open, were dry." | | 15 | "She had seen plenty of" | | 16 | "They always wept." | | 17 | "She straightened and examined the" | | 18 | "The symbols meant nothing to" | | 19 | "She photographed them with her" |
| | ratio | 0.831 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 12.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 8 | | matches | | 0 | "Somewhere overhead, the rumble of a passing train trembled through the ceiling, dislodging a fine rain of dust that settled on the shoulders of the forensic tea…" | | 1 | "She registered the body first — a man in his late thirties, face down on the platform, one arm outstretched toward the wall as though he'd been reaching for som…" | | 2 | "Wrong in a way that tickled at the back of her skull, in the same place that had been tickling for three years, ever since the night DS Morris had died in a loc…" | | 3 | "His fingertips, where they stretched toward the wall, were blackened — not burned, not frostbitten, but blackened in a way that reminded her of ink stains soake…" | | 4 | "The symbols meant nothing to her, but they were precise, deliberately drawn, each one connected to the next by thin lines that formed a circuit." | | 5 | "Detective Inspector Carl Fenchurch stood at the edge of the platform, his hands stuffed into the pockets of an overcoat that had seen better decades." | | 6 | "Cracked inward, as though something had pressed against the wall from the other side." | | 7 | "And beneath the sleeve of her jacket, her worn leather watch ticked steadily onward, marking the minutes of a night that was already longer than it should have …" |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "He moved down, shoes crunching on the grit" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 32 | | tagDensity | 0.063 | | leniency | 0.125 | | rawRatio | 0 | | effectiveRatio | 0 | |