| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn finally replied [finally]" | | 1 | "Quinn said slowly [slowly]" |
| | dialogueSentences | 47 | | tagDensity | 0.34 | | leniency | 0.681 | | rawRatio | 0.125 | | effectiveRatio | 0.085 | |
| 71.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1421 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "softly" | | 1 | "slightly" | | 2 | "carefully" | | 3 | "very" | | 4 | "slowly" |
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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) | |
| 64.81% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1421 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "measured" | | 1 | "calculated" | | 2 | "cataloged" | | 3 | "etched" | | 4 | "silence" | | 5 | "furrowed" | | 6 | "familiar" | | 7 | "racing" | | 8 | "weight" |
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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 | 75 | | matches | (empty) | |
| 66.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 75 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1408 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 893 | | uniqueNames | 10 | | maxNameDensity | 3.14 | | worstName | "Quinn" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Detective | 2 | | Harlow | 2 | | Quinn | 28 | | Carter | 12 | | London | 2 | | Morris | 4 | | Veil | 1 | | Market | 1 | | Eva | 3 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Carter" | | 3 | "Morris" | | 4 | "Eva" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 62.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 2 | | matches | | 0 | "quite place" | | 1 | "symbols that seemed to shift in the peripheral vision" |
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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 | 1408 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 105 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 28.73 | | std | 19.5 | | cv | 0.679 | | sampleLengths | | 0 | 94 | | 1 | 11 | | 2 | 52 | | 3 | 11 | | 4 | 40 | | 5 | 43 | | 6 | 7 | | 7 | 3 | | 8 | 21 | | 9 | 19 | | 10 | 28 | | 11 | 13 | | 12 | 50 | | 13 | 29 | | 14 | 74 | | 15 | 39 | | 16 | 9 | | 17 | 23 | | 18 | 10 | | 19 | 19 | | 20 | 53 | | 21 | 31 | | 22 | 23 | | 23 | 23 | | 24 | 4 | | 25 | 52 | | 26 | 11 | | 27 | 14 | | 28 | 43 | | 29 | 5 | | 30 | 17 | | 31 | 19 | | 32 | 28 | | 33 | 7 | | 34 | 33 | | 35 | 5 | | 36 | 24 | | 37 | 26 | | 38 | 33 | | 39 | 36 | | 40 | 11 | | 41 | 31 | | 42 | 69 | | 43 | 54 | | 44 | 19 | | 45 | 37 | | 46 | 17 | | 47 | 41 | | 48 | 47 |
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| 91.23% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 75 | | matches | | 0 | "were contorted" | | 1 | "been thrown" | | 2 | "being struck" | | 3 | "was drawn" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 161 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 105 | | ratio | 0.076 | | matches | | 0 | "The air in the abandoned Tube station hung thick with decay and something else—something metallic and sharp that Detective Harlow Quinn couldn't quite place." | | 1 | "No soot, no grease—nothing to suggest he'd been hit by a train." | | 2 | "Something was wrong—everything was wrong." | | 3 | "Instead, it jerked erratically before settling on a direction that made no sense—straight up into the platform ceiling." | | 4 | "This was the third case this month that defied conventional explanation—three deaths, three impossible crime scenes, three artifacts that shouldn't exist according to any known laws of physics." | | 5 | "Three years ago, Morris had been investigating a series of disappearances when he'd stumbled into something that had cost him his life—something Quinn still didn't fully understand." | | 6 | "They were familiar—she'd seen them in Morris's notes, symbols he'd associated with dimensional rifts." | | 7 | "The case wasn't just strange anymore—it was supernatural." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 902 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.037694013303769404 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.015521064301552107 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 13.41 | | std | 9.01 | | cv | 0.672 | | sampleLengths | | 0 | 24 | | 1 | 29 | | 2 | 23 | | 3 | 18 | | 4 | 7 | | 5 | 4 | | 6 | 3 | | 7 | 20 | | 8 | 29 | | 9 | 11 | | 10 | 19 | | 11 | 21 | | 12 | 4 | | 13 | 15 | | 14 | 12 | | 15 | 12 | | 16 | 7 | | 17 | 2 | | 18 | 1 | | 19 | 21 | | 20 | 8 | | 21 | 11 | | 22 | 4 | | 23 | 24 | | 24 | 13 | | 25 | 6 | | 26 | 5 | | 27 | 8 | | 28 | 19 | | 29 | 12 | | 30 | 13 | | 31 | 16 | | 32 | 22 | | 33 | 11 | | 34 | 18 | | 35 | 5 | | 36 | 18 | | 37 | 14 | | 38 | 25 | | 39 | 9 | | 40 | 18 | | 41 | 5 | | 42 | 6 | | 43 | 4 | | 44 | 13 | | 45 | 6 | | 46 | 7 | | 47 | 18 | | 48 | 28 | | 49 | 4 |
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| 66.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.42857142857142855 | | totalSentences | 105 | | uniqueOpeners | 45 | |
| 95.24% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 70 | | matches | | 0 | "Instead, it jerked erratically before" | | 1 | "Of course they don't, Quinn" |
| | ratio | 0.029 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 70 | | matches | | 0 | "Her worn leather watch clicked" | | 1 | "Her gaze remained fixed on" | | 2 | "His limbs were contorted at" | | 3 | "She crouched, her knees protesting" | | 4 | "She examined the victim's hands," | | 5 | "She knelt, carefully brushing away" | | 6 | "It was a compass, its" | | 7 | "She'd only seen pictures in" | | 8 | "She stood, brushing dust from" | | 9 | "Her watch ticked softly in" | | 10 | "She pulled it out, frowning" | | 11 | "She'd never been, but Morris" | | 12 | "She zoomed in on the" | | 13 | "They were familiar—she'd seen them" | | 14 | "They were in a world" | | 15 | "They operate in theirs." | | 16 | "she said, her voice tight" |
| | ratio | 0.243 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 70 | | matches | | 0 | "The air in the abandoned" | | 1 | "Her worn leather watch clicked" | | 2 | "The crime scene unit had" | | 3 | "Quinn didn't turn." | | 4 | "Her gaze remained fixed on" | | 5 | "His limbs were contorted at" | | 6 | "Quinn finally replied, her voice" | | 7 | "DS Carter, a younger detective" | | 8 | "Quinn's sharp jaw tightened." | | 9 | "She crouched, her knees protesting" | | 10 | "She examined the victim's hands," | | 11 | "Quinn asked, straightening up" | | 12 | "Carter gestured vaguely toward the" | | 13 | "Quinn's brown eyes narrowed." | | 14 | "Carter offered, though his voice" | | 15 | "Quinn ignored him, circling the" | | 16 | "Something was wrong—everything was wrong." | | 17 | "The chalk outline was too" | | 18 | "The victim's clothes, though torn," | | 19 | "Quinn commanded, her voice leaving" |
| | ratio | 0.8 | |
| 71.43% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 70 | | matches | | 0 | "Because they don't operate in" |
| | ratio | 0.014 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 10 | | matches | | 0 | "The crime scene unit had set up their lights, casting harsh shadows across the curved brick walls and revealing decades of peeling paint." | | 1 | "His limbs were contorted at unnatural angles, as if he'd been thrown against the platform with tremendous force, yet there was no blood, no obvious signs of blu…" | | 2 | "DS Carter, a younger detective with bright eyes that hadn't yet learned to temper their enthusiasm, approached her side." | | 3 | "She crouched, her knees protesting slightly after years of chasing suspects through London's meanest streets." | | 4 | "Instead, it jerked erratically before settling on a direction that made no sense—straight up into the platform ceiling." | | 5 | "She'd only seen pictures in the department's occult case files, relics from a hidden world that operated just beneath the surface of London's everyday reality." | | 6 | "This was the third case this month that defied conventional explanation—three deaths, three impossible crime scenes, three artifacts that shouldn't exist accord…" | | 7 | "Three years ago, Morris had been investigating a series of disappearances when he'd stumbled into something that had cost him his life—something Quinn still did…" | | 8 | "The Veil Market was a hidden supernatural black market that moved locations every full moon, accessible only to those with bone tokens." | | 9 | "Something that had been waiting a very long time for someone like Detective Harlow Quinn to come looking for answers." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 5 | | matches | | 0 | "Quinn finally replied, her voice low and steady" | | 1 | "Carter offered, though his voice lacked conviction" | | 2 | "Quinn commanded, her voice leaving no room for argument" | | 3 | "Quinn said, her gaze drifting toward the sealed tunnel entrance" | | 4 | "she said, her voice tight with the weight of revelation" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 2 | | fancyTags | | 0 | "Quinn murmured (murmur)" | | 1 | "Carter called out (call out)" |
| | dialogueSentences | 47 | | tagDensity | 0.255 | | leniency | 0.511 | | rawRatio | 0.167 | | effectiveRatio | 0.085 | |