| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 62 | | tagDensity | 0.161 | | leniency | 0.323 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1819 | | 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) | |
| 75.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1819 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "weight" | | 1 | "calculated" | | 2 | "footsteps" | | 3 | "perfect" | | 4 | "measured" | | 5 | "pulse" | | 6 | "trembled" | | 7 | "traced" |
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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 | 108 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 108 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 160 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1819 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 1249 | | uniqueNames | 13 | | maxNameDensity | 0.72 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 9 | | Moreau | 2 | | Eva | 3 | | Sancerre | 3 | | Hadn | 1 | | Sumerian | 1 | | Ptolemy | 4 | | Rory | 4 | | One | 1 | | Soho | 1 | | Brick | 2 | | Lane | 2 | | London | 2 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Ptolemy" | | 4 | "Rory" | | 5 | "One" |
| | places | | 0 | "Soho" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 74.24% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a physical thing" | | 1 | "father's soul apparently signed away the yea" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.55 | | wordCount | 1819 | | matches | | 0 | "not properly, but the open door served as close enough for a half-demon with s" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 160 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 85 | | mean | 21.4 | | std | 24.33 | | cv | 1.137 | | sampleLengths | | 0 | 41 | | 1 | 1 | | 2 | 5 | | 3 | 55 | | 4 | 3 | | 5 | 56 | | 6 | 5 | | 7 | 52 | | 8 | 3 | | 9 | 12 | | 10 | 1 | | 11 | 108 | | 12 | 19 | | 13 | 4 | | 14 | 9 | | 15 | 84 | | 16 | 5 | | 17 | 6 | | 18 | 10 | | 19 | 52 | | 20 | 3 | | 21 | 44 | | 22 | 4 | | 23 | 2 | | 24 | 29 | | 25 | 5 | | 26 | 48 | | 27 | 5 | | 28 | 49 | | 29 | 3 | | 30 | 49 | | 31 | 17 | | 32 | 95 | | 33 | 10 | | 34 | 6 | | 35 | 2 | | 36 | 37 | | 37 | 1 | | 38 | 1 | | 39 | 5 | | 40 | 45 | | 41 | 74 | | 42 | 17 | | 43 | 20 | | 44 | 7 | | 45 | 31 | | 46 | 4 | | 47 | 28 | | 48 | 5 | | 49 | 56 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 108 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 214 | | matches | | 0 | "was lying" | | 1 | "wasn't twisting" | | 2 | "was aerating" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 160 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1257 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.030230708035003977 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.006364359586316627 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 160 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 160 | | mean | 11.37 | | std | 10.91 | | cv | 0.959 | | sampleLengths | | 0 | 4 | | 1 | 3 | | 2 | 34 | | 3 | 1 | | 4 | 5 | | 5 | 7 | | 6 | 20 | | 7 | 28 | | 8 | 3 | | 9 | 5 | | 10 | 10 | | 11 | 3 | | 12 | 34 | | 13 | 4 | | 14 | 5 | | 15 | 4 | | 16 | 4 | | 17 | 26 | | 18 | 3 | | 19 | 2 | | 20 | 13 | | 21 | 3 | | 22 | 3 | | 23 | 9 | | 24 | 1 | | 25 | 11 | | 26 | 3 | | 27 | 25 | | 28 | 8 | | 29 | 35 | | 30 | 9 | | 31 | 6 | | 32 | 11 | | 33 | 19 | | 34 | 4 | | 35 | 9 | | 36 | 14 | | 37 | 20 | | 38 | 18 | | 39 | 2 | | 40 | 13 | | 41 | 17 | | 42 | 5 | | 43 | 6 | | 44 | 10 | | 45 | 5 | | 46 | 7 | | 47 | 40 | | 48 | 3 | | 49 | 22 |
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| 57.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.38125 | | totalSentences | 160 | | uniqueOpeners | 61 | |
| 68.03% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 98 | | matches | | 0 | "Still wearing the silver ring" | | 1 | "Then he'd disappeared for eleven" |
| | ratio | 0.02 | |
| 40.41% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 98 | | matches | | 0 | "It always stuck." | | 1 | "She blocked the doorway with" | | 2 | "He hadn't moved" | | 3 | "He stood the way a" | | 4 | "She pushed the door." | | 5 | "His cane caught it." | | 6 | "Her full name." | | 7 | "He only used it when" | | 8 | "She turned her back on" | | 9 | "His footsteps followed, careful on" | | 10 | "She heard him catalogue the" | | 11 | "She forgot most things these" | | 12 | "His charcoal suit fit him" | | 13 | "She watched his hands, manicured" | | 14 | "He wasn't twisting it now." | | 15 | "He leaned the cane against" | | 16 | "She pulled open a drawer," | | 17 | "He ignored the wine." | | 18 | "She knew he did." | | 19 | "His voice carried the same" |
| | ratio | 0.449 | |
| 56.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 98 | | matches | | 0 | "The third deadbolt stuck." | | 1 | "It always stuck." | | 2 | "Rory shouldered the door open" | | 3 | "She blocked the doorway with" | | 4 | "Ptolemy threaded between her ankles," | | 5 | "Cumin and garlic from the" | | 6 | "He hadn't moved" | | 7 | "Lucien never fidgeted." | | 8 | "He stood the way a" | | 9 | "She pushed the door." | | 10 | "His cane caught it." | | 11 | "The thin blade hidden inside" | | 12 | "Her full name." | | 13 | "He only used it when" | | 14 | "She turned her back on" | | 15 | "A calculated risk." | | 16 | "Lucien respected thresholds, and she" | | 17 | "His footsteps followed, careful on" | | 18 | "She heard him catalogue the" | | 19 | "A mug of cold tea" |
| | ratio | 0.806 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 98 | | matches | | 0 | "To other doors." | | 1 | "If he opened the bottle," | | 2 | "If he didn't touch it," | | 3 | "Because she'd felt them shake." |
| | ratio | 0.041 | |
| 3.48% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 8 | | matches | | 0 | "He stood the way a card player held a winning hand, loose and patient, his mismatched eyes, one amber, one black, fixed on her face with an attention that felt …" | | 1 | "Not hard, not aggressive, just the ivory handle slotting neatly into the gap between door and frame with the precision of someone who'd done this before." | | 2 | "She forgot most things these days that weren't deliveries or deadbolts." | | 3 | "His charcoal suit fit him the way tailored things fit people who'd never once questioned whether they deserved beautiful clothes." | | 4 | "He leaned the cane against the counter and folded his arms, which made him look almost human, almost like a man standing in a kitchen instead of an information …" | | 5 | "She wanted to grab that perfectly knotted tie and pull until he stopped speaking in riddles and half-truths, until he told her what he'd actually felt in that b…" | | 6 | "Lucien retrieved his cane and held the door open, his body framed against the dim hallway light, and for one unguarded moment the mask slipped and she saw it, e…" | | 7 | "Brick Lane opened before them, slick with earlier rain, neon from the halal butcher's sign painting the pavement in bleeding strips of red and green." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 62 | | tagDensity | 0.032 | | leniency | 0.065 | | rawRatio | 0 | | effectiveRatio | 0 | |