| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 31 | | tagDensity | 0.065 | | leniency | 0.129 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1596 | | 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) | |
| 27.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1596 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "rhythmic" | | 1 | "throb" | | 2 | "vibrated" | | 3 | "reminder" | | 4 | "churning" | | 5 | "sanctuary" | | 6 | "weight" | | 7 | "etched" | | 8 | "searing" | | 9 | "scanning" | | 10 | "perfect" | | 11 | "echoed" | | 12 | "footsteps" | | 13 | "amidst" | | 14 | "marble" | | 15 | "velvet" | | 16 | "flickered" | | 17 | "pulse" | | 18 | "simmering" | | 19 | "could feel" | | 20 | "blown wide" | | 21 | "silence" |
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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 | 1 | | narrationSentences | 70 | | matches | | |
| 40.82% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 70 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1591 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1084 | | uniqueNames | 8 | | maxNameDensity | 0.83 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 8 | | Silas | 1 | | Moreau | 1 | | French | 1 | | London | 1 | | Golden | 1 | | Empress | 1 | | Lucien | 9 |
| | persons | | 0 | "Rory" | | 1 | "Silas" | | 2 | "Moreau" | | 3 | "Empress" | | 4 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like an oil painting brought to li" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.629 | | wordCount | 1591 | | matches | | 0 | "not to push him away, but to hold him there" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 27.43 | | std | 18.87 | | cv | 0.688 | | sampleLengths | | 0 | 58 | | 1 | 40 | | 2 | 69 | | 3 | 8 | | 4 | 64 | | 5 | 4 | | 6 | 32 | | 7 | 17 | | 8 | 40 | | 9 | 14 | | 10 | 1 | | 11 | 45 | | 12 | 13 | | 13 | 16 | | 14 | 46 | | 15 | 49 | | 16 | 16 | | 17 | 23 | | 18 | 41 | | 19 | 22 | | 20 | 13 | | 21 | 9 | | 22 | 62 | | 23 | 16 | | 24 | 22 | | 25 | 66 | | 26 | 3 | | 27 | 39 | | 28 | 18 | | 29 | 27 | | 30 | 26 | | 31 | 15 | | 32 | 36 | | 33 | 13 | | 34 | 12 | | 35 | 25 | | 36 | 29 | | 37 | 17 | | 38 | 12 | | 39 | 10 | | 40 | 48 | | 41 | 50 | | 42 | 44 | | 43 | 11 | | 44 | 6 | | 45 | 19 | | 46 | 11 | | 47 | 11 | | 48 | 17 | | 49 | 34 |
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| 95.24% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 70 | | matches | | 0 | "was etched" | | 1 | "were blown" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 151 | | matches | | |
| 57.14% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 100 | | ratio | 0.03 | | matches | | 0 | "He leaned slightly on his ivory-handled cane, his heterochromatic eyes—one stygian black, the other a searing, predatory amber—scanning the threshold before settling on her face." | | 1 | "Lucien’s footsteps followed—muted, elegant, and entirely too close." | | 2 | "He stopped just outside her personal space, the scent of him—cedarwood and something metallic, something demon—invading her lungs." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 708 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.026836158192090395 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.00847457627118644 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 15.91 | | std | 8.19 | | cv | 0.515 | | sampleLengths | | 0 | 13 | | 1 | 25 | | 2 | 20 | | 3 | 4 | | 4 | 19 | | 5 | 17 | | 6 | 12 | | 7 | 17 | | 8 | 5 | | 9 | 19 | | 10 | 16 | | 11 | 8 | | 12 | 16 | | 13 | 23 | | 14 | 25 | | 15 | 4 | | 16 | 32 | | 17 | 17 | | 18 | 3 | | 19 | 13 | | 20 | 24 | | 21 | 14 | | 22 | 1 | | 23 | 19 | | 24 | 9 | | 25 | 6 | | 26 | 11 | | 27 | 13 | | 28 | 16 | | 29 | 20 | | 30 | 18 | | 31 | 8 | | 32 | 8 | | 33 | 15 | | 34 | 16 | | 35 | 10 | | 36 | 16 | | 37 | 23 | | 38 | 12 | | 39 | 29 | | 40 | 22 | | 41 | 13 | | 42 | 9 | | 43 | 14 | | 44 | 18 | | 45 | 30 | | 46 | 16 | | 47 | 22 | | 48 | 10 | | 49 | 28 |
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| 40.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.26 | | totalSentences | 100 | | uniqueOpeners | 26 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 37.14% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 70 | | matches | | 0 | "It was a rhythmic, dull" | | 1 | "She reached for the kettle," | | 2 | "They didn't belong to Silas" | | 3 | "She set the kettle aside" | | 4 | "She didn't check the peephole." | | 5 | "It was etched into her" | | 6 | "He leaned slightly on his" | | 7 | "He didn’t move at all," | | 8 | "He looked like an oil" | | 9 | "He simply waited, the pressure" | | 10 | "She let go of the" | | 11 | "He didn't belong here, amidst" | | 12 | "He was a creature of" | | 13 | "He moved through her space" | | 14 | "He moved toward her then," | | 15 | "He stopped just outside her" | | 16 | "He reached out, his gloved" | | 17 | "She turned to face him," | | 18 | "He didn't make it a" | | 19 | "He took another step, closing" |
| | ratio | 0.457 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 70 | | matches | | 0 | "The floorboards beneath Rory’s feet" | | 1 | "It was a rhythmic, dull" | | 2 | "She reached for the kettle," | | 3 | "They didn't belong to Silas" | | 4 | "These had a weight to" | | 5 | "She set the kettle aside" | | 6 | "The crescent-shaped scar on her" | | 7 | "She didn't check the peephole." | | 8 | "It was etched into her" | | 9 | "The door groaned as she" | | 10 | "Lucien Moreau stood in the" | | 11 | "The yellowed light of the" | | 12 | "He leaned slightly on his" | | 13 | "The sound of his voice," | | 14 | "Lucien didn’t flinch." | | 15 | "He didn’t move at all," | | 16 | "He looked like an oil" | | 17 | "Rory stepped back, intending to" | | 18 | "The wood met the cane" | | 19 | "Lucien didn't push, didn't use" |
| | ratio | 0.943 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 5 | | matches | | 0 | "It was a rhythmic, dull throb that vibrated through the soles of her socks, a constant reminder of the life churning beneath her small sanctuary." | | 1 | "The sound of his voice, a low vibration that carried the ghost of a French accent, sent a jolt of heat through her chest that she immediately tried to smother w…" | | 2 | "He reached out, his gloved hand hovering near her arm before he pulled it back, a rare moment of hesitation from a man who brokered the secrets of the underworl…" | | 3 | "He pressed his mouth to hers, a bruising, desperate kiss that tasted of long-held resentment and a hunger that had only grown in the silence between them." | | 4 | "Rory groaned into the kiss, her hands shifting from his hair to his shoulders, pulling him closer until the edge of the counter dug into her hips." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "she whispered, her voice trembling" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 31 | | tagDensity | 0.032 | | leniency | 0.065 | | rawRatio | 1 | | effectiveRatio | 0.065 | |