| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 37 | | tagDensity | 0.378 | | leniency | 0.757 | | rawRatio | 0.071 | | effectiveRatio | 0.054 | |
| 85.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1421 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "really" | | 1 | "suddenly" | | 2 | "lightly" | | 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) | |
| 64.81% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1421 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "measured" | | 1 | "silk" | | 2 | "lilt" | | 3 | "weight" | | 4 | "could feel" | | 5 | "familiar" | | 6 | "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 | 78 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 78 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 69 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1400 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.36% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1006 | | uniqueNames | 16 | | maxNameDensity | 1.19 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Brick | 2 | | Lane | 2 | | Eva | 3 | | Moreau | 1 | | London | 1 | | French | 2 | | Aurora | 1 | | Rory | 12 | | Lucien | 4 | | Jennifer | 1 | | Carter | 1 | | Avaros | 2 | | Ptolemy | 3 | | English | 1 | | Cardiff | 1 | | Evan | 1 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Lucien" | | 4 | "Carter" | | 5 | "Avaros" | | 6 | "Ptolemy" | | 7 | "Evan" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "London" | | 3 | "French" | | 4 | "English" | | 5 | "Cardiff" |
| | globalScore | 0.904 | | windowScore | 1 | |
| 8.49% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 3 | | matches | | 0 | "not quite a smile" | | 1 | "something like cold iron and night-blooming" | | 2 | "felt like the center of something ancie" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.143 | | wordCount | 1400 | | matches | | 0 | "not perfume, but something like cold iron" | | 1 | "not to her face, but to her wrist" | | 2 | "not hidden, but found" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 26.92 | | std | 23.29 | | cv | 0.865 | | sampleLengths | | 0 | 57 | | 1 | 10 | | 2 | 9 | | 3 | 84 | | 4 | 5 | | 5 | 15 | | 6 | 33 | | 7 | 29 | | 8 | 24 | | 9 | 3 | | 10 | 59 | | 11 | 83 | | 12 | 51 | | 13 | 5 | | 14 | 5 | | 15 | 7 | | 16 | 39 | | 17 | 10 | | 18 | 33 | | 19 | 61 | | 20 | 26 | | 21 | 25 | | 22 | 6 | | 23 | 7 | | 24 | 54 | | 25 | 67 | | 26 | 8 | | 27 | 8 | | 28 | 45 | | 29 | 10 | | 30 | 5 | | 31 | 88 | | 32 | 43 | | 33 | 7 | | 34 | 4 | | 35 | 16 | | 36 | 47 | | 37 | 5 | | 38 | 4 | | 39 | 3 | | 40 | 6 | | 41 | 15 | | 42 | 40 | | 43 | 30 | | 44 | 6 | | 45 | 5 | | 46 | 45 | | 47 | 25 | | 48 | 23 | | 49 | 47 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 78 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 158 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 17 | | semicolonCount | 1 | | flaggedSentences | 12 | | totalSentences | 101 | | ratio | 0.119 | | matches | | 0 | "Rory had just turned the second deadbolt—three of them, Eva’s paranoia made steel—when the knock came." | | 1 | "Five-eleven, all controlled angles, the ivory-handled cane in his right hand tapping once—quiet, dangerous—against the scuffed parquet." | | 2 | "The flat was cramped, one bedroom, every surface buried—books stacked on the stove, scrolls half-unfurled over the sofa, research notes pinned to walls with yellowing tape." | | 3 | "The deadbolts clicked—one, two, three—loud in the hush." | | 4 | "The cane—elegant, lethal, its ivory grip concealing the thin blade within—rested lightly against his palm." | | 5 | "“I’m not one of your cases.” Rory folded her arms, the crescent scar on her left wrist—small, white, childhood accident—pressed against her ribs where she could feel it." | | 6 | "She picked up a mug that had been her mother’s—Jennifer Carter’s old pottery, the blue chip on the rim familiar as her own breath." | | 7 | "The flat was so cramped that she could smell him now—not perfume, but something like cold iron and night-blooming flowers, the scent of Avaros bleeding through human skin." | | 8 | "His amber eye caught the lamplight; the black one drank it whole." | | 9 | "“Of what I wanted to take.” His hand lifted, not to her face, but to her wrist—the one with the crescent scar." | | 10 | "Her fingers touched his—leather to bare skin, cool to warm." | | 11 | "His cane tapped the floor once, quietly, and then his free hand—careful, trembling with a control that was almost painful—found the curve of her waist." |
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| 91.59% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1029 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, book-choked room." |
| | adverbCount | 44 | | adverbRatio | 0.042759961127308066 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008746355685131196 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 13.86 | | std | 11.58 | | cv | 0.835 | | sampleLengths | | 0 | 24 | | 1 | 16 | | 2 | 4 | | 3 | 13 | | 4 | 10 | | 5 | 9 | | 6 | 23 | | 7 | 23 | | 8 | 21 | | 9 | 17 | | 10 | 3 | | 11 | 2 | | 12 | 15 | | 13 | 12 | | 14 | 21 | | 15 | 24 | | 16 | 5 | | 17 | 6 | | 18 | 13 | | 19 | 5 | | 20 | 3 | | 21 | 9 | | 22 | 26 | | 23 | 24 | | 24 | 4 | | 25 | 8 | | 26 | 22 | | 27 | 49 | | 28 | 24 | | 29 | 15 | | 30 | 3 | | 31 | 9 | | 32 | 5 | | 33 | 5 | | 34 | 7 | | 35 | 28 | | 36 | 11 | | 37 | 10 | | 38 | 5 | | 39 | 17 | | 40 | 11 | | 41 | 20 | | 42 | 24 | | 43 | 5 | | 44 | 12 | | 45 | 10 | | 46 | 16 | | 47 | 6 | | 48 | 19 | | 49 | 6 |
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| 43.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.31683168316831684 | | totalSentences | 101 | | uniqueOpeners | 32 | |
| 48.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 69 | | matches | | 0 | "Instead, she raised her hand." |
| | ratio | 0.014 | |
| 57.68% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 69 | | matches | | 0 | "She knew the hand before" | | 1 | "His charcoal suit was immaculate" | | 2 | "His platinum hair, slicked back" | | 3 | "They both held there, suspended" | | 4 | "Her voice came out level," | | 5 | "His French lilt was softer" | | 6 | "She flinched at the full" | | 7 | "She stepped back, letting the" | | 8 | "She didn’t invite him further" | | 9 | "She was wearing an old" | | 10 | "He didn’t sit." | | 11 | "He stood near the bookcase," | | 12 | "She picked up a mug" | | 13 | "She turned, blue eyes sharp" | | 14 | "he said quietly" | | 15 | "He took a step closer." | | 16 | "His amber eye caught the" | | 17 | "His hand lifted, not to" | | 18 | "His gloved fingers, leather fine" | | 19 | "She could feel the old" |
| | ratio | 0.406 | |
| 39.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 69 | | matches | | 0 | "Rain slicked the stairwell of" | | 1 | "Rory had just turned the" | | 2 | "A single, measured rap against" | | 3 | "She knew the hand before" | | 4 | "Rory pulled the door open," | | 5 | "Lucien Moreau stood in the" | | 6 | "His charcoal suit was immaculate" | | 7 | "His platinum hair, slicked back" | | 8 | "They both held there, suspended" | | 9 | "Her voice came out level," | | 10 | "His French lilt was softer" | | 11 | "She flinched at the full" | | 12 | "She stepped back, letting the" | | 13 | "The flat was cramped, one" | | 14 | "Ptolemy, Eva’s tabby, lifted his" | | 15 | "Rory closed the door." | | 16 | "The deadbolts clicked—one, two, three—loud" | | 17 | "She didn’t invite him further" | | 18 | "She was wearing an old" | | 19 | "Lucien entered as if he" |
| | ratio | 0.841 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 32.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 6 | | matches | | 0 | "Lucien Moreau stood in the narrow corridor smelling of wet wool and something darker, something that didn’t belong to any weather London knew." | | 1 | "She was wearing an old cardigan over a tank top, her straight black hair falling to her shoulders in a dark curtain, and she felt suddenly exposed, as if he cou…" | | 2 | "She picked up a mug that had been her mother’s—Jennifer Carter’s old pottery, the blue chip on the rim familiar as her own breath." | | 3 | "She could feel the old hurt rising, the attraction that had always sat like electricity under her skin whenever he was near." | | 4 | "His cane tapped the floor once, quietly, and then his free hand—careful, trembling with a control that was almost painful—found the curve of her waist." | | 5 | "He laughed, low and real, and pulled her closer, his black eye and amber one both shining with something that looked, for all his demon blood, entirely human." |
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| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice steady despite everything" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 37 | | tagDensity | 0.27 | | leniency | 0.541 | | rawRatio | 0.1 | | effectiveRatio | 0.054 | |