| 77.55% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 3 | | adverbTags | | 0 | "She vanished back [back]" | | 1 | "she said quietly [quietly]" | | 2 | "he said softly [softly]" |
| | dialogueSentences | 49 | | tagDensity | 0.327 | | leniency | 0.653 | | rawRatio | 0.188 | | effectiveRatio | 0.122 | |
| 81.99% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1388 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "suddenly" | | 2 | "carefully" | | 3 | "softly" |
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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) | |
| 85.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1388 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "stomach" | | 1 | "weight" | | 2 | "efficient" | | 3 | "silence" |
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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 | 74 | | matches | (empty) | |
| 84.94% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 74 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "managed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 107 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 60 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1381 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.81% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 846 | | uniqueNames | 13 | | maxNameDensity | 1.06 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 7 | | Ptolemy | 2 | | Thai | 1 | | Lucien | 9 | | Moreau | 2 | | Rory | 8 | | Evan | 1 | | Fine | 1 | | Brick | 1 | | Lane | 1 | | Restlessness | 1 | | Couldn | 1 | | French | 1 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Lucien" | | 3 | "Moreau" | | 4 | "Rory" | | 5 | "Evan" |
| | places | | | globalScore | 0.968 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like a question" |
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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 | 1381 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 107 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 25.57 | | std | 20.06 | | cv | 0.784 | | sampleLengths | | 0 | 36 | | 1 | 57 | | 2 | 1 | | 3 | 42 | | 4 | 7 | | 5 | 21 | | 6 | 22 | | 7 | 3 | | 8 | 43 | | 9 | 12 | | 10 | 49 | | 11 | 28 | | 12 | 11 | | 13 | 3 | | 14 | 38 | | 15 | 4 | | 16 | 34 | | 17 | 51 | | 18 | 5 | | 19 | 51 | | 20 | 9 | | 21 | 36 | | 22 | 1 | | 23 | 8 | | 24 | 47 | | 25 | 5 | | 26 | 61 | | 27 | 32 | | 28 | 35 | | 29 | 31 | | 30 | 4 | | 31 | 60 | | 32 | 7 | | 33 | 58 | | 34 | 5 | | 35 | 17 | | 36 | 73 | | 37 | 10 | | 38 | 21 | | 39 | 51 | | 40 | 3 | | 41 | 56 | | 42 | 14 | | 43 | 6 | | 44 | 24 | | 45 | 50 | | 46 | 38 | | 47 | 1 | | 48 | 32 | | 49 | 23 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 156 | | matches | | 0 | "was holding" | | 1 | "was radiating" |
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| 62.75% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 107 | | ratio | 0.028 | | matches | | 0 | "Research notes scattered across every surface—Eva's obsession with blood magic and bargains made manifest in paper and ink." | | 1 | "Then he'd do something that reminded her exactly what he was—something efficient and dark and capable of things that would make ordinary men weep." | | 2 | "He leaned closer, and she caught the scent of him—expensive cologne and something darker underneath, something that whispered of brimstone and careful violence." |
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| 90.89% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 853 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 43 | | adverbRatio | 0.05041031652989449 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.01875732708089097 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 107 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 107 | | mean | 12.91 | | std | 11.37 | | cv | 0.881 | | sampleLengths | | 0 | 16 | | 1 | 20 | | 2 | 9 | | 3 | 8 | | 4 | 20 | | 5 | 20 | | 6 | 1 | | 7 | 20 | | 8 | 15 | | 9 | 7 | | 10 | 7 | | 11 | 13 | | 12 | 3 | | 13 | 1 | | 14 | 2 | | 15 | 2 | | 16 | 16 | | 17 | 6 | | 18 | 3 | | 19 | 15 | | 20 | 5 | | 21 | 7 | | 22 | 16 | | 23 | 12 | | 24 | 5 | | 25 | 44 | | 26 | 3 | | 27 | 15 | | 28 | 6 | | 29 | 4 | | 30 | 11 | | 31 | 3 | | 32 | 24 | | 33 | 14 | | 34 | 4 | | 35 | 16 | | 36 | 8 | | 37 | 10 | | 38 | 5 | | 39 | 13 | | 40 | 9 | | 41 | 18 | | 42 | 6 | | 43 | 5 | | 44 | 20 | | 45 | 31 | | 46 | 3 | | 47 | 5 | | 48 | 1 | | 49 | 36 |
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| 75.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4766355140186916 | | totalSentences | 107 | | uniqueOpeners | 51 | |
| 99.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 67 | | matches | | 0 | "Then he'd do something that" | | 1 | "Then Eva appeared in the" |
| | ratio | 0.03 | |
| 88.66% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 67 | | matches | | 0 | "His heterochromatic eyes, that amber" | | 1 | "He leaned against the doorframe" | | 2 | "His ivory-handled cane hung from" | | 3 | "He shifted his weight slightly," | | 4 | "She vanished back toward the" | | 5 | "She kept her arms crossed" | | 6 | "He set the cane against" | | 7 | "He turned to face her" | | 8 | "He moved to the window," | | 9 | "She forced it back down." | | 10 | "He finally turned to face" | | 11 | "His voice remained level." | | 12 | "He just let words land" | | 13 | "He set the cane down" | | 14 | "she said quietly" | | 15 | "She couldn't finish that sentence" | | 16 | "She'd forbidden herself from remembering" | | 17 | "His hand reached up, thumb" | | 18 | "he said softly" | | 19 | "He leaned closer, and she" |
| | ratio | 0.328 | |
| 57.01% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 67 | | matches | | 0 | "The third deadbolt scraped open" | | 1 | "Rory turned, expecting her friend" | | 2 | "The shock of him hit" | | 3 | "Platinum hair slicked back the" | | 4 | "Charcoal suit despite the hour," | | 5 | "His heterochromatic eyes, that amber" | | 6 | "He leaned against the doorframe" | | 7 | "His ivory-handled cane hung from" | | 8 | "He shifted his weight slightly," | | 9 | "Eva emerged from the kitchen," | | 10 | "Lucien stepped inside anyway, brushing" | | 11 | "The flat suddenly seemed smaller." | | 12 | "Everything felt smaller with him" | | 13 | "Ptolemy, the tabby, regarded him" | | 14 | "Eva's eyes darted between them." | | 15 | "She vanished back toward the" | | 16 | "Rory didn't move." | | 17 | "She kept her arms crossed" | | 18 | "Lucien said, and it sounded" | | 19 | "He set the cane against" |
| | ratio | 0.806 | |
| 74.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 67 | | matches | | 0 | "If he'd shouted, she could" |
| | ratio | 0.015 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 7 | | matches | | 0 | "Rory moved to the window and stared out at the curry house below, at Brick Lane's nighttime bustle, at anything that wasn't Lucien Moreau's face." | | 1 | "The demon blood that made him a half-blood was invisible most of the time, only suggested by those impossible eyes and an occasional inhuman grace." | | 2 | "Then he'd do something that reminded her exactly what he was—something efficient and dark and capable of things that would make ordinary men weep." | | 3 | "Then Eva appeared in the kitchen doorway with three steaming mugs and the expression of someone who'd heard significantly more than she'd bargained for." | | 4 | "His hand reached up, thumb brushing the small crescent scar on her left wrist, the one from her childhood accident that had sparked his entire interest in her d…" | | 5 | "He leaned closer, and she caught the scent of him—expensive cologne and something darker underneath, something that whispered of brimstone and careful violence." | | 6 | "The notifications came rapid-fire, urgent in a way that made his expression shift into something professional." |
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| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | 0 | "He set, as if the stack of grimoires and tarot decks might crumble if disturbed" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "he continued (continue)" |
| | dialogueSentences | 49 | | tagDensity | 0.102 | | leniency | 0.204 | | rawRatio | 0.4 | | effectiveRatio | 0.082 | |