| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn crouched again [again]" |
| | dialogueSentences | 30 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.111 | | effectiveRatio | 0.067 | |
| 79.23% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 963 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "sharply" | | 1 | "gently" | | 2 | "lazily" | | 3 | "really" |
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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) | |
| 53.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 963 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "echoed" | | 1 | "gloom" | | 2 | "pulse" | | 3 | "flickered" | | 4 | "glint" | | 5 | "etched" | | 6 | "could feel" | | 7 | "unreadable" | | 8 | "whisper" |
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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 | 79 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 99 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 8 | | totalWords | 960 | | ratio | 0.008 | | matches | | 0 | "clack" | | 1 | "recognition" | | 2 | "something" | | 3 | "rip" | | 4 | "thick" | | 5 | "cold" | | 6 | "wrong" | | 7 | "supernatural" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 30.11% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 709 | | uniqueNames | 7 | | maxNameDensity | 2.4 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Camden | 1 | | Harlow | 1 | | Quinn | 17 | | Sergeant | 1 | | Elias | 1 | | Carter | 11 |
| | persons | | 0 | "Camden" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Sergeant" | | 4 | "Elias" | | 5 | "Carter" |
| | places | (empty) | | globalScore | 0.301 | | windowScore | 0.5 | |
| 41.30% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 2 | | matches | | 0 | "as if reaching for something just beyond its grasp" | | 1 | "quite read" |
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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 | 960 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 99 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 28.24 | | std | 22.41 | | cv | 0.794 | | sampleLengths | | 0 | 76 | | 1 | 72 | | 2 | 2 | | 3 | 41 | | 4 | 56 | | 5 | 34 | | 6 | 14 | | 7 | 45 | | 8 | 3 | | 9 | 24 | | 10 | 4 | | 11 | 26 | | 12 | 26 | | 13 | 39 | | 14 | 7 | | 15 | 53 | | 16 | 5 | | 17 | 38 | | 18 | 16 | | 19 | 19 | | 20 | 26 | | 21 | 46 | | 22 | 21 | | 23 | 45 | | 24 | 7 | | 25 | 34 | | 26 | 4 | | 27 | 25 | | 28 | 21 | | 29 | 6 | | 30 | 93 | | 31 | 15 | | 32 | 9 | | 33 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 79 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 123 | | matches | | 0 | "wasn’t pointing" | | 1 | "wasn’t pointing" | | 2 | "was watching" | | 3 | "was spinning" | | 4 | "was pointing" |
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| 56.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 99 | | ratio | 0.03 | | matches | | 0 | "A man—mid-thirties, dark hair, cheap suit now stained with something darker." | | 1 | "The beam caught something—a glint near the body’s outstretched hand." | | 2 | "But she knew this: the compass, the shadows, the way the air in the station felt *wrong*—like the moment before a storm breaks." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 714 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.03221288515406162 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.00980392156862745 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 99 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 99 | | mean | 9.7 | | std | 7.12 | | cv | 0.734 | | sampleLengths | | 0 | 28 | | 1 | 27 | | 2 | 21 | | 3 | 27 | | 4 | 11 | | 5 | 11 | | 6 | 2 | | 7 | 2 | | 8 | 19 | | 9 | 2 | | 10 | 3 | | 11 | 4 | | 12 | 21 | | 13 | 13 | | 14 | 21 | | 15 | 30 | | 16 | 5 | | 17 | 16 | | 18 | 4 | | 19 | 5 | | 20 | 9 | | 21 | 2 | | 22 | 12 | | 23 | 2 | | 24 | 8 | | 25 | 3 | | 26 | 4 | | 27 | 1 | | 28 | 1 | | 29 | 7 | | 30 | 8 | | 31 | 11 | | 32 | 3 | | 33 | 9 | | 34 | 15 | | 35 | 4 | | 36 | 14 | | 37 | 12 | | 38 | 5 | | 39 | 21 | | 40 | 6 | | 41 | 10 | | 42 | 5 | | 43 | 10 | | 44 | 8 | | 45 | 7 | | 46 | 3 | | 47 | 15 | | 48 | 2 | | 49 | 8 |
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| 52.53% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.36363636363636365 | | totalSentences | 99 | | uniqueOpeners | 36 | |
| 49.75% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 67 | | matches | | 0 | "Just brass and those strange," |
| | ratio | 0.015 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 67 | | matches | | 0 | "It lay sprawled near the" | | 1 | "His face was frozen in" | | 2 | "She knew the voice." | | 3 | "He was younger than Quinn" | | 4 | "She shifted her torch to" | | 5 | "His eyes were open, glassy," | | 6 | "She leaned in, ignoring the" | | 7 | "She tilted the man’s head" | | 8 | "She stepped closer, crouching again." | | 9 | "She pulled a pen from" | | 10 | "It wasn’t pointing at anything," | | 11 | "It spun lazily, as if" | | 12 | "She slipped it into an" | | 13 | "They were too *thick*, like" | | 14 | "She stepped closer, her boots" | | 15 | "It wasn’t a stain." | | 16 | "It wasn’t dirt." | | 17 | "It was *cold*." | | 18 | "She pulled out her phone," |
| | ratio | 0.284 | |
| 64.48% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 67 | | matches | | 0 | "The abandoned Tube station beneath" | | 1 | "Detective Harlow Quinn stepped off" | | 2 | "The beam of her torch" | | 3 | "It lay sprawled near the" | | 4 | "A man—mid—thirties, dark hair, cheap" | | 5 | "His face was frozen in" | | 6 | "Something closer to *recognition*, like" | | 7 | "Quinn didn’t turn." | | 8 | "She knew the voice." | | 9 | "Detective Sergeant Elias Carter stepped" | | 10 | "He was younger than Quinn" | | 11 | "Quinn crouched beside the body," | | 12 | "Rigor had already set in." | | 13 | "The man’s fingers were clean," | | 14 | "She shifted her torch to" | | 15 | "His eyes were open, glassy," | | 16 | "She leaned in, ignoring the" | | 17 | "She tilted the man’s head" | | 18 | "Quinn stood, brushing her palms" | | 19 | "Carter gestured to the platform." |
| | ratio | 0.791 | |
| 74.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 67 | | matches | | 0 | "Because the truth was, she" |
| | ratio | 0.015 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 7 | | matches | | 0 | "The abandoned Tube station beneath Camden smelled of damp concrete and rust, the kind of scent that clung to the back of your throat like a bad memory." | | 1 | "Detective Harlow Quinn stepped off the last rung of the maintenance ladder, her boots hitting the platform with a sharp *clack* that echoed through the hollow d…" | | 2 | "It lay sprawled near the edge of the platform, one arm twisted beneath it, the other flung out as if reaching for something just beyond its grasp." | | 3 | "Something closer to *recognition*, like he’d seen the thing that killed him and understood, too late, what it meant." | | 4 | "He was younger than Quinn by a decade, all sharp cheekbones and easy grins, the kind of cop who charmed witnesses into confessions before they realized they’d s…" | | 5 | "She pulled out her phone, snapping a few photos before standing." | | 6 | "A way that had made the paramedics whisper about *supernatural* causes before the official report had buried it under layers of bureaucratic bullshit." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "Carter muttered (mutter)" |
| | dialogueSentences | 30 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0.333 | | effectiveRatio | 0.067 | |