| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "He glanced back [back]" |
| | dialogueSentences | 50 | | tagDensity | 0.34 | | leniency | 0.68 | | rawRatio | 0.059 | | effectiveRatio | 0.04 | |
| 96.15% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1300 | | totalAiIsmAdverbs | 1 | | 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) | |
| 69.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1300 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "pulse" | | 1 | "intensity" | | 2 | "velvet" | | 3 | "traced" | | 4 | "silk" | | 5 | "tenderness" | | 6 | "silence" | | 7 | "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 | 74 | | matches | (empty) | |
| 84.94% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 74 | | filterMatches | (empty) | | hedgeMatches | | |
| 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 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1285 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.49% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 857 | | uniqueNames | 8 | | maxNameDensity | 1.05 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 6 | | Lucien | 5 | | Moreau | 1 | | Marseille | 1 | | Rory | 9 | | London | 1 | | Ptolemy | 4 | | Camden | 1 |
| | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Rory" | | 4 | "Ptolemy" |
| | places | | | globalScore | 0.975 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "not quite a smile, but the promise of one" |
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| 44.36% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.556 | | wordCount | 1285 | | matches | | 0 | "not to keep him in, but to seal them both inside" | | 1 | "not quite a smile, but the promise of one" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 107 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 23.8 | | std | 16.26 | | cv | 0.683 | | sampleLengths | | 0 | 5 | | 1 | 58 | | 2 | 15 | | 3 | 11 | | 4 | 5 | | 5 | 51 | | 6 | 56 | | 7 | 17 | | 8 | 28 | | 9 | 16 | | 10 | 21 | | 11 | 12 | | 12 | 9 | | 13 | 55 | | 14 | 20 | | 15 | 28 | | 16 | 36 | | 17 | 37 | | 18 | 17 | | 19 | 43 | | 20 | 62 | | 21 | 5 | | 22 | 4 | | 23 | 13 | | 24 | 37 | | 25 | 18 | | 26 | 24 | | 27 | 36 | | 28 | 47 | | 29 | 27 | | 30 | 22 | | 31 | 40 | | 32 | 19 | | 33 | 5 | | 34 | 48 | | 35 | 16 | | 36 | 11 | | 37 | 31 | | 38 | 3 | | 39 | 2 | | 40 | 31 | | 41 | 22 | | 42 | 4 | | 43 | 37 | | 44 | 5 | | 45 | 10 | | 46 | 17 | | 47 | 19 | | 48 | 49 | | 49 | 21 |
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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 | 0 | | totalVerbs | 148 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 1 | | flaggedSentences | 11 | | totalSentences | 107 | | ratio | 0.103 | | matches | | 0 | "Not a knock—no warning—just the sharp click of metal yielding to fingers that knew exactly where to apply pressure." | | 1 | "Every surface—the coffee table, the windowsill, the narrow kitchen counter—vanished beneath stacks of books, scrolls weighted with iron stones, and Eva’s frantic research notes pinned with red string." | | 2 | "His eyes caught the dim light—one amber, one black—fixing on her with an intensity that made her breath stall." | | 3 | "She gripped a mug—empty, just something to hold—until her knuckles whitened." | | 4 | "His amber eye glittered; the black one drank the light." | | 5 | "The hurt lived in her chest, old and sharp, but beneath it—older still—an attraction she had buried under fear and pride." | | 6 | "She looked down at their joined hands—her small fingers against his long ones, the ivory cane handle brushing her hip." | | 7 | "Rory looked at the door—the three deadbolts, the chain still hanging loose." | | 8 | "Rory reached past him and turned the lock—not to keep him in, but to seal them both inside." | | 9 | "“Then stay hurt.” She gripped his lapel, pulling him down, or herself up—there was no difference anymore." | | 10 | "His lips found hers with the precision of a blade finally finding its sheath—sharp, inevitable, and long overdue." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 875 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.038857142857142854 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008 | |
| 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 | 12.01 | | std | 8.12 | | cv | 0.676 | | sampleLengths | | 0 | 5 | | 1 | 14 | | 2 | 19 | | 3 | 25 | | 4 | 15 | | 5 | 6 | | 6 | 5 | | 7 | 5 | | 8 | 8 | | 9 | 28 | | 10 | 15 | | 11 | 5 | | 12 | 18 | | 13 | 14 | | 14 | 19 | | 15 | 4 | | 16 | 13 | | 17 | 3 | | 18 | 22 | | 19 | 3 | | 20 | 8 | | 21 | 8 | | 22 | 2 | | 23 | 14 | | 24 | 5 | | 25 | 5 | | 26 | 7 | | 27 | 9 | | 28 | 9 | | 29 | 14 | | 30 | 13 | | 31 | 19 | | 32 | 18 | | 33 | 2 | | 34 | 11 | | 35 | 17 | | 36 | 6 | | 37 | 14 | | 38 | 16 | | 39 | 12 | | 40 | 25 | | 41 | 11 | | 42 | 6 | | 43 | 27 | | 44 | 16 | | 45 | 7 | | 46 | 21 | | 47 | 34 | | 48 | 5 | | 49 | 4 |
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| 50.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.32710280373831774 | | totalSentences | 107 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 66 | | matches | | 0 | "Then she looked back at" | | 1 | "Only the taste of cedar," |
| | ratio | 0.03 | |
| 50.30% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 66 | | matches | | 0 | "She pulled back, bare feet" | | 1 | "His voice dropped low, tinted" | | 2 | "His charcoal suit remained immaculate" | | 3 | "His eyes caught the dim" | | 4 | "Her straight black hair fell" | | 5 | "He glanced back at the" | | 6 | "He shut the door himself." | | 7 | "Her shoulder grazed his chest," | | 8 | "She moved to the kitchen," | | 9 | "She set her palm flat" | | 10 | "His jaw tightened" | | 11 | "She gripped a mug—empty, just" | | 12 | "He leaned against the counter," | | 13 | "His amber eye glittered; the" | | 14 | "She pressed her palm flat" | | 15 | "His hand covered hers, cold" | | 16 | "Her wrist ached where the" | | 17 | "She looked down at their" | | 18 | "she said, her voice low" | | 19 | "His breath warmed her cheek" |
| | ratio | 0.424 | |
| 5.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 66 | | matches | | 0 | "The third deadbolt sighed open." | | 1 | "Rory had her fingers wrapped" | | 2 | "She pulled back, bare feet" | | 3 | "His voice dropped low, tinted" | | 4 | "Rory’s pulse jumped in her" | | 5 | "The flat smelled of turmeric" | | 6 | "Every surface—the coffee table, the" | | 7 | "Ptolemy, Eva’s tabby, hissed from" | | 8 | "Lucien stepped inside without invitation." | | 9 | "His charcoal suit remained immaculate" | | 10 | "The ivory handle of his" | | 11 | "His eyes caught the dim" | | 12 | "Rory didn’t move." | | 13 | "Her straight black hair fell" | | 14 | "He glanced back at the" | | 15 | "The crescent-shaped mark on her" | | 16 | "He shut the door himself." | | 17 | "The chain rattled like a" | | 18 | "The words landed like a" | | 19 | "Rory crossed her arms, her" |
| | ratio | 0.909 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 84.94% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 3 | | matches | | 0 | "His charcoal suit remained immaculate despite the London drizzle that clung to his platinum hair in dark streaks." | | 1 | "His eyes caught the dim light—one amber, one black—fixing on her with an intensity that made her breath stall." | | 2 | "Then she looked back at him, at the heterochromatic eyes that held no apology, only a fierce, dangerous tenderness." |
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| 95.59% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice low" |
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| 90.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "She pressed (press)" | | 1 | "he murmured (murmur)" | | 2 | "she corrected (correct)" |
| | dialogueSentences | 50 | | tagDensity | 0.12 | | leniency | 0.24 | | rawRatio | 0.5 | | effectiveRatio | 0.12 | |