| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said finally [finally]" |
| | dialogueSentences | 41 | | tagDensity | 0.39 | | leniency | 0.78 | | rawRatio | 0.063 | | effectiveRatio | 0.049 | |
| 95.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1063 | | 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) | |
| 57.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1063 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "stomach" | | 1 | "lurch" | | 2 | "rhythmic" | | 3 | "pulse" | | 4 | "silence" | | 5 | "pulsed" | | 6 | "raced" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 67 | | matches | | 0 | "was bitter" | | 1 | "was nervous" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 67 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 17 | | totalWords | 1051 | | ratio | 0.016 | | matches | | 0 | "mon ami" | | 1 | "chérie" | | 2 | "alive" | | 3 | "“You don’t understand what you’re walking into, Rory.”" | | 4 | "both" | | 5 | "show up" | | 6 | "mon ami" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 720 | | uniqueNames | 10 | | maxNameDensity | 0.56 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 4 | | Eva | 2 | | Moreau | 1 | | French | 1 | | Avaros | 1 | | London | 1 | | Lucien | 4 | | Silas | 1 | | Golden | 1 | | Empress | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Eva" | | 2 | "Moreau" | | 3 | "Lucien" | | 4 | "Silas" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | 0 | "something like ozone—trailed him in" |
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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 | 1051 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 24.44 | | std | 17.87 | | cv | 0.731 | | sampleLengths | | 0 | 80 | | 1 | 14 | | 2 | 14 | | 3 | 49 | | 4 | 47 | | 5 | 34 | | 6 | 18 | | 7 | 26 | | 8 | 28 | | 9 | 9 | | 10 | 38 | | 11 | 10 | | 12 | 45 | | 13 | 31 | | 14 | 12 | | 15 | 59 | | 16 | 4 | | 17 | 11 | | 18 | 25 | | 19 | 51 | | 20 | 4 | | 21 | 23 | | 22 | 30 | | 23 | 5 | | 24 | 40 | | 25 | 30 | | 26 | 2 | | 27 | 41 | | 28 | 12 | | 29 | 5 | | 30 | 41 | | 31 | 5 | | 32 | 2 | | 33 | 15 | | 34 | 38 | | 35 | 17 | | 36 | 4 | | 37 | 49 | | 38 | 19 | | 39 | 25 | | 40 | 20 | | 41 | 8 | | 42 | 11 |
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| 94.79% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 67 | | matches | | 0 | "was slicked" | | 1 | "was supposed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 139 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 90 | | ratio | 0.1 | | matches | | 0 | "His platinum blond hair was slicked back, and his heterochromatic eyes—one amber, one black—caught the lamplight like twin flames." | | 1 | "The scent of sandalwood and something darker—something like ozone—trailed him in." | | 2 | "His gaze swept the cluttered room—books stacked haphazardly, scrolls spilling from shelves, Eva’s handwriting scrawled across every available surface." | | 3 | "For a moment, the mask slipped, and she saw something raw beneath—urgency, maybe regret." | | 4 | "Now, seeing Lucien—so certain, so *alive* with purpose—made her knees weaken." | | 5 | "The emblem was unmistakable—a serpent coiled around a dagger." | | 6 | "Aurora’s mind raced—her mother, the law, the way Lucien had always been the one person who saw the edges of what she couldn’t name." | | 7 | "His hand brushed hers, just for a second, and she felt it—a current, like static in the air." | | 8 | "She pulled her hand back, but not before catching the ghost of his scent—cinnamon and something wilder, like storm clouds." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 732 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.036885245901639344 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009562841530054645 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 11.68 | | std | 7.72 | | cv | 0.661 | | sampleLengths | | 0 | 32 | | 1 | 10 | | 2 | 19 | | 3 | 19 | | 4 | 7 | | 5 | 7 | | 6 | 9 | | 7 | 5 | | 8 | 19 | | 9 | 11 | | 10 | 19 | | 11 | 17 | | 12 | 19 | | 13 | 11 | | 14 | 18 | | 15 | 16 | | 16 | 10 | | 17 | 8 | | 18 | 16 | | 19 | 10 | | 20 | 11 | | 21 | 14 | | 22 | 3 | | 23 | 9 | | 24 | 3 | | 25 | 12 | | 26 | 7 | | 27 | 16 | | 28 | 7 | | 29 | 3 | | 30 | 3 | | 31 | 4 | | 32 | 18 | | 33 | 9 | | 34 | 11 | | 35 | 19 | | 36 | 12 | | 37 | 8 | | 38 | 4 | | 39 | 7 | | 40 | 19 | | 41 | 33 | | 42 | 4 | | 43 | 11 | | 44 | 11 | | 45 | 14 | | 46 | 5 | | 47 | 20 | | 48 | 26 | | 49 | 4 |
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| 55.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.37777777777777777 | | totalSentences | 90 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 7.10% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 62 | | matches | | 0 | "His platinum blond hair was" | | 1 | "She hadn’t expected to see" | | 2 | "she said, her voice steadier" | | 3 | "He stepped inside without waiting" | | 4 | "he said, his French accent" | | 5 | "His gaze swept the cluttered" | | 6 | "He smirked, that infuriatingly charming" | | 7 | "She crossed her arms, though" | | 8 | "She studied him." | | 9 | "His amber eye glinted with" | | 10 | "He hesitated, cane drumming against" | | 11 | "Her breath caught." | | 12 | "She’d heard whispers in the" | | 13 | "She kept her voice light," | | 14 | "His laugh was bitter" | | 15 | "She remembered the nights they’d" | | 16 | "She remembered how his black" | | 17 | "She’d walked away anyway." | | 18 | "He stepped closer, stopping just" | | 19 | "She wanted to argue, to" |
| | ratio | 0.532 | |
| 16.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 62 | | matches | | 0 | "The door swung inward on" | | 1 | "The sight that met her" | | 2 | "Lucien Moreau stood in the" | | 3 | "His platinum blond hair was" | | 4 | "She hadn’t expected to see" | | 5 | "she said, her voice steadier" | | 6 | "He stepped inside without waiting" | | 7 | "The scent of sandalwood and" | | 8 | "Ptolemy, the tabby cat perched" | | 9 | "he said, his French accent" | | 10 | "His gaze swept the cluttered" | | 11 | "Aurora shifted closer to the" | | 12 | "He smirked, that infuriatingly charming" | | 13 | "She crossed her arms, though" | | 14 | "The words were quiet, almost" | | 15 | "The word hung in the" | | 16 | "She studied him." | | 17 | "The rain had left him" | | 18 | "His amber eye glinted with" | | 19 | "He hesitated, cane drumming against" |
| | ratio | 0.887 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 62 | | matches | | 0 | "Now, seeing Lucien—so certain, so" |
| | ratio | 0.016 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 3 | | matches | | 0 | "The door swung inward on its rusted hinges with a groan that made Aurora look up from the chipped mug of tea she’d been nursing in the dim light of Eva’s flat." | | 1 | "The sight that met her eyes made her stomach lurch." | | 2 | "He stepped inside without waiting for an invitation, his cane tapping a rhythmic pulse against the warped wooden floorboards." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 5 | | matches | | 0 | "she said, her voice steadier than she felt" | | 1 | "he said, his French accent softening the edge of his words" | | 2 | "She crossed, though her pulse thrummed in her throat" | | 3 | "She kept, but her fingers curled into fists" | | 4 | "he added, his thumb grazing the back of her hand," |
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| 52.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 4 | | fancyTags | | 0 | "Lucien continued (continue)" | | 1 | "she whispered (whisper)" | | 2 | "he added (add)" | | 3 | "he agreed (agree)" |
| | dialogueSentences | 41 | | tagDensity | 0.22 | | leniency | 0.439 | | rawRatio | 0.444 | | effectiveRatio | 0.195 | |