| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "Aurora stepped back [back]" |
| | dialogueSentences | 37 | | tagDensity | 0.486 | | leniency | 0.973 | | rawRatio | 0.056 | | effectiveRatio | 0.054 | |
| 93.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1658 | | totalAiIsmAdverbs | 2 | | 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) | |
| 66.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1658 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "sense of" | | 1 | "pounding" | | 2 | "rhythmic" | | 3 | "silk" | | 4 | "perfect" | | 5 | "silence" | | 6 | "predator" | | 7 | "looming" | | 8 | "weight" |
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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 | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 89 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 108 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1652 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 1169 | | uniqueNames | 14 | | maxNameDensity | 1.2 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Aurora | 14 | | Brick | 1 | | Lane | 1 | | Eva | 4 | | Golden | 1 | | Empress | 1 | | London | 2 | | Marseille | 1 | | Moreau | 2 | | Lucien | 10 | | Rory | 1 | | Cardiff-honed | 1 | | Ptolemy | 3 | | Tap | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Eva" | | 2 | "Empress" | | 3 | "Moreau" | | 4 | "Lucien" | | 5 | "Rory" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Golden" | | 3 | "London" | | 4 | "Marseille" |
| | globalScore | 0.901 | | windowScore | 0.833 | |
| 79.58% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a prayer" | | 1 | "felt like home" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.605 | | wordCount | 1652 | | matches | | 0 | "not to invite him in, but to create distance" |
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| 74.07% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 108 | | matches | | 0 | "knew that cadence" | | 1 | "hated that the" | | 2 | "used that height" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 36.71 | | std | 18.71 | | cv | 0.51 | | sampleLengths | | 0 | 73 | | 1 | 61 | | 2 | 4 | | 3 | 29 | | 4 | 41 | | 5 | 27 | | 6 | 23 | | 7 | 56 | | 8 | 10 | | 9 | 76 | | 10 | 5 | | 11 | 29 | | 12 | 59 | | 13 | 45 | | 14 | 51 | | 15 | 28 | | 16 | 12 | | 17 | 45 | | 18 | 37 | | 19 | 44 | | 20 | 37 | | 21 | 45 | | 22 | 26 | | 23 | 37 | | 24 | 37 | | 25 | 44 | | 26 | 61 | | 27 | 8 | | 28 | 39 | | 29 | 73 | | 30 | 19 | | 31 | 51 | | 32 | 16 | | 33 | 6 | | 34 | 25 | | 35 | 69 | | 36 | 39 | | 37 | 26 | | 38 | 19 | | 39 | 32 | | 40 | 52 | | 41 | 41 | | 42 | 26 | | 43 | 46 | | 44 | 23 |
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| 97.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 89 | | matches | | 0 | "was slicked" | | 1 | "was backed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 197 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 2 | | flaggedSentences | 6 | | totalSentences | 108 | | ratio | 0.056 | | matches | | 0 | "It was a rhythmic signature she hadn’t heard in six months—not since a rain-slicked alleyway in Marseille where she’d told a man to go to hell and he’d simply bowed and disappeared into the shadows." | | 1 | "Aurora squeezed her eyes shut, her thumb brushing the small crescent-shaped scar on her left wrist—a nervous habit she’d never quite kicked." | | 2 | "When he looked at her, his heterochromatic eyes—one a warm, predatory amber and the other a void-like black—swept over her with agonizing slowness." | | 3 | "The scent of him—expensive tobacco, sandalwood, and something metallic that reminded her of a coming storm—filled her senses." | | 4 | "Lucien Moreau was a creature of deals and shadows; he didn't do vulnerability." | | 5 | "He didn't catch her; she met him halfway." |
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| 85.99% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1182 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "sharp, Cardiff-honed edge." |
| | adverbCount | 50 | | adverbRatio | 0.04230118443316413 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.01353637901861252 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 108 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 108 | | mean | 15.3 | | std | 8.96 | | cv | 0.586 | | sampleLengths | | 0 | 17 | | 1 | 27 | | 2 | 29 | | 3 | 18 | | 4 | 3 | | 5 | 26 | | 6 | 14 | | 7 | 4 | | 8 | 17 | | 9 | 6 | | 10 | 6 | | 11 | 2 | | 12 | 4 | | 13 | 35 | | 14 | 3 | | 15 | 16 | | 16 | 5 | | 17 | 1 | | 18 | 1 | | 19 | 1 | | 20 | 19 | | 21 | 4 | | 22 | 17 | | 23 | 22 | | 24 | 14 | | 25 | 3 | | 26 | 10 | | 27 | 14 | | 28 | 18 | | 29 | 21 | | 30 | 23 | | 31 | 5 | | 32 | 15 | | 33 | 14 | | 34 | 9 | | 35 | 17 | | 36 | 33 | | 37 | 19 | | 38 | 7 | | 39 | 19 | | 40 | 17 | | 41 | 22 | | 42 | 12 | | 43 | 28 | | 44 | 12 | | 45 | 17 | | 46 | 28 | | 47 | 12 | | 48 | 25 | | 49 | 13 |
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| 43.83% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.32407407407407407 | | totalSentences | 108 | | uniqueOpeners | 35 | |
| 83.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 80 | | matches | | 0 | "Then came the knock." | | 1 | "Instead, he leaned slightly on" |
| | ratio | 0.025 | |
| 35.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 80 | | matches | | 0 | "She was tired." | | 1 | "She just wanted to peel" | | 2 | "It wasn't the frantic pounding" | | 3 | "It was three rhythmic, metallic" | | 4 | "She knew that cadence." | | 5 | "It was a rhythmic signature" | | 6 | "She didn't move." | | 7 | "She waited for the sound" | | 8 | "She took a steadying breath," | | 9 | "She pulled the door open" | | 10 | "His platinum blond hair was" | | 11 | "He wore a tailored charcoal" | | 12 | "He didn't flinch at the" | | 13 | "He moved with a predator’s" | | 14 | "He knew the layout of" | | 15 | "He reached out, his gloved" | | 16 | "he whispered, using the name" | | 17 | "She hated how easily he" | | 18 | "She hated that the sight" | | 19 | "She jerked her chin away" |
| | ratio | 0.463 | |
| 10.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 80 | | matches | | 0 | "The third deadbolt clicked into" | | 1 | "Ptolemy, a tabby cat with" | | 2 | "Aurora leaned her forehead against" | | 3 | "She was tired." | | 4 | "The shift at the Golden" | | 5 | "She just wanted to peel" | | 6 | "It wasn't the frantic pounding" | | 7 | "It was three rhythmic, metallic" | | 8 | "The sound of wood hitting" | | 9 | "She knew that cadence." | | 10 | "It was a rhythmic signature" | | 11 | "She didn't move." | | 12 | "She waited for the sound" | | 13 | "a voice drifted through the" | | 14 | "The use of her nickname" | | 15 | "Aurora squeezed her eyes shut," | | 16 | "She took a steadying breath," | | 17 | "She pulled the door open" | | 18 | "Lucien Moreau looked exactly as" | | 19 | "His platinum blond hair was" |
| | ratio | 0.9 | |
| 62.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 80 | | matches | | | ratio | 0.013 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 6 | | matches | | 0 | "The shift at the Golden Empress had been grueling, her bike skidding through slick London drizzle, her delivery bag reeking of plum sauce and fried seaweed." | | 1 | "Yet, here he was, in a cramped flat above a curry house, looking at her as if she were the only fixed point in a spinning world." | | 2 | "Lucien’s hands came up to frame her face, his thumbs stroking her cheekbones with a reverence that felt like a prayer." | | 3 | "Aurora reached up, her fingers tangling in the platinum blond hair she’d spent so many nights dreaming of, pulling him closer until there was no air left betwee…" | | 4 | "Lucien smiled, a slow, predatory twitch of his lips that reached his mismatched eyes." | | 5 | "Aurora looked at Ptolemy, who was now watching them with judgmental yellow eyes, and then back to the man who had just dismantled her hard-won peace with a few …" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 6 | | matches | | 0 | "Aurora countered, her voice steady despite the hammer-thrum of her heart" | | 1 | "Aurora said, though the conviction was leaking out of her" | | 2 | "she snapped, her voice cracking" | | 3 | "he said, his voice dropping to a low, gravelly timbre" | | 4 | "he said, but his eyes weren't on the mission" | | 5 | "she said, her voice regaining that sharp, Cardiff-honed edge" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 6 | | fancyTags | | 0 | "he whispered (whisper)" | | 1 | "she snapped (snap)" | | 2 | "Rory whispered (whisper)" | | 3 | "he conceded (concede)" | | 4 | "he murmured (murmur)" | | 5 | "he whispered (whisper)" |
| | dialogueSentences | 37 | | tagDensity | 0.378 | | leniency | 0.757 | | rawRatio | 0.429 | | effectiveRatio | 0.324 | |