| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1158 | | totalAiIsmAdverbs | 2 | | 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) | |
| 56.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1158 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulse" | | 1 | "etched" | | 2 | "familiar" | | 3 | "eyebrow" | | 4 | "stomach" | | 5 | "whisper" | | 6 | "flickered" | | 7 | "unreadable" | | 8 | "pounding" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 96 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 96 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 6 | | totalWords | 1146 | | ratio | 0.005 | | matches | | 0 | "not belong" | | 1 | "wrong" | | 2 | "enough" | | 3 | "deliberate" | | 4 | "Quinn." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 971 | | uniqueNames | 16 | | maxNameDensity | 1.96 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 19 | | Camden | 1 | | Town | 1 | | Detective | 2 | | Sergeant | 1 | | Cole | 11 | | Manchester | 1 | | London | 1 | | Victorian | 1 | | Morris | 2 | | British | 1 | | Museum | 1 | | Eva | 2 | | Kowalski | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Sergeant" | | 3 | "Cole" | | 4 | "Morris" | | 5 | "Eva" | | 6 | "Kowalski" |
| | places | | 0 | "Camden" | | 1 | "Town" | | 2 | "Manchester" | | 3 | "London" |
| | globalScore | 0.522 | | windowScore | 0.5 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 4 | | matches | | 0 | "quite settled into the rhythm of London’s underbelly" | | 1 | "something like them before—maybe in a case f" | | 2 | "looked like a burn, but the edges were to" | | 3 | "as if sensing something she couldn’t" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1146 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 111 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 26.65 | | std | 25.09 | | cv | 0.941 | | sampleLengths | | 0 | 91 | | 1 | 54 | | 2 | 62 | | 3 | 87 | | 4 | 2 | | 5 | 48 | | 6 | 21 | | 7 | 52 | | 8 | 2 | | 9 | 10 | | 10 | 64 | | 11 | 13 | | 12 | 31 | | 13 | 62 | | 14 | 61 | | 15 | 9 | | 16 | 11 | | 17 | 21 | | 18 | 21 | | 19 | 16 | | 20 | 38 | | 21 | 13 | | 22 | 11 | | 23 | 83 | | 24 | 8 | | 25 | 6 | | 26 | 13 | | 27 | 30 | | 28 | 4 | | 29 | 2 | | 30 | 27 | | 31 | 1 | | 32 | 28 | | 33 | 10 | | 34 | 4 | | 35 | 29 | | 36 | 5 | | 37 | 3 | | 38 | 4 | | 39 | 47 | | 40 | 18 | | 41 | 3 | | 42 | 21 |
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| 90.64% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 96 | | matches | | 0 | "been found" | | 1 | "been handed" | | 2 | "been abandoned" | | 3 | "were scuffed" |
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| 36.40% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 163 | | matches | | 0 | "wasn’t pointing" | | 1 | "wasn’t pointing" | | 2 | "wasn’t looking" | | 3 | "was watching" |
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| 39.90% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 111 | | ratio | 0.036 | | matches | | 0 | "He was new—transferred from Manchester six months ago—and still carried the stiffness of someone who hadn’t quite settled into the rhythm of London’s underbelly." | | 1 | "The victim—a woman in her late twenties, dressed in a long coat that looked more suited for a Victorian novel than the 21st century—lay sprawled across the tracks." | | 2 | "She’d seen something like them before—maybe in a case file, maybe in one of those damn books Morris used to read when he thought she wasn’t looking." | | 3 | "There, just below her hairline, was a small, circular mark—no bigger than a coin." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 982 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 39 | | adverbRatio | 0.03971486761710794 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.009164969450101833 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 10.32 | | std | 8.29 | | cv | 0.803 | | sampleLengths | | 0 | 26 | | 1 | 23 | | 2 | 20 | | 3 | 22 | | 4 | 10 | | 5 | 16 | | 6 | 24 | | 7 | 4 | | 8 | 4 | | 9 | 39 | | 10 | 17 | | 11 | 2 | | 12 | 14 | | 13 | 28 | | 14 | 25 | | 15 | 10 | | 16 | 10 | | 17 | 2 | | 18 | 4 | | 19 | 24 | | 20 | 5 | | 21 | 5 | | 22 | 10 | | 23 | 4 | | 24 | 17 | | 25 | 20 | | 26 | 18 | | 27 | 14 | | 28 | 2 | | 29 | 6 | | 30 | 4 | | 31 | 10 | | 32 | 12 | | 33 | 27 | | 34 | 15 | | 35 | 9 | | 36 | 4 | | 37 | 4 | | 38 | 27 | | 39 | 3 | | 40 | 3 | | 41 | 17 | | 42 | 28 | | 43 | 7 | | 44 | 2 | | 45 | 2 | | 46 | 6 | | 47 | 18 | | 48 | 6 | | 49 | 6 |
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| 51.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.35135135135135137 | | totalSentences | 111 | | uniqueOpeners | 39 | |
| 81.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 82 | | matches | | 0 | "Just a faint, almost imperceptible" | | 1 | "Then she heard it." |
| | ratio | 0.024 | |
| 88.29% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 82 | | matches | | 0 | "She adjusted the worn leather" | | 1 | "He was new—transferred from Manchester" | | 2 | "She’d been at the morgue," | | 3 | "She crouched at the edge" | | 4 | "Her dark hair fanned out" | | 5 | "It was the object clutched" | | 6 | "It wasn’t pointing at anything." | | 7 | "It spun lazily, as if" | | 8 | "She leaned forward, careful not" | | 9 | "She’d seen something like them" | | 10 | "She stood abruptly, the compass" | | 11 | "He nodded at the compass" | | 12 | "She glanced around the station," | | 13 | "She turned back to the" | | 14 | "She shot him a look." | | 15 | "She crouched again, this time" | | 16 | "Her skin was pale, almost" | | 17 | "It looked like a burn," | | 18 | "She’d seen that mark before." | | 19 | "She stood abruptly, her pulse" |
| | ratio | 0.329 | |
| 45.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 68 | | totalSentences | 82 | | matches | | 0 | "The abandoned Tube station smelled" | | 1 | "Detective Harlow Quinn stepped over" | | 2 | "The air was thick with" | | 3 | "She adjusted the worn leather" | | 4 | "The voice came from her" | | 5 | "Detective Sergeant Cole stood near" | | 6 | "He was new—transferred from Manchester" | | 7 | "Quinn ignored the jab." | | 8 | "She’d been at the morgue," | | 9 | "The case had been handed" | | 10 | "She crouched at the edge" | | 11 | "The victim—a woman in her" | | 12 | "Her dark hair fanned out" | | 13 | "It was the object clutched" | | 14 | "The casing was brass, tarnished" | | 15 | "The needle wasn’t pointing north." | | 16 | "It wasn’t pointing at anything." | | 17 | "It spun lazily, as if" | | 18 | "Cole followed her gaze." | | 19 | "Quinn reached into her pocket" |
| | ratio | 0.829 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 82 | | matches | | 0 | "If she hurried, she could" | | 1 | "Because if Eva was the" |
| | ratio | 0.024 | |
| 35.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 6 | | matches | | 0 | "The abandoned Tube station smelled of damp concrete and rust, the kind of scent that clung to the back of your throat like a bad memory." | | 1 | "He was new—transferred from Manchester six months ago—and still carried the stiffness of someone who hadn’t quite settled into the rhythm of London’s underbelly…" | | 2 | "The victim—a woman in her late twenties, dressed in a long coat that looked more suited for a Victorian novel than the 21st century—lay sprawled across the trac…" | | 3 | "Her dark hair fanned out around her head like a halo, her lips parted as if she’d been mid-sentence when whatever had killed her struck." | | 4 | "The casing was brass, tarnished with verdigris, its face etched with strange, looping symbols that made Quinn’s eyes ache if she stared too long." | | 5 | "She took the steps two at a time, her boots pounding against the concrete, her breath coming in sharp, controlled bursts." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 54.76% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "Cole interrupted (interrupt)" | | 1 | "Quinn corrected (correct)" |
| | dialogueSentences | 21 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0.667 | | effectiveRatio | 0.19 | |