| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.519 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 78.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1372 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "precisely" | | 1 | "slightly" | | 2 | "softly" | | 3 | "sharply" | | 4 | "completely" |
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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) | |
| 41.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1372 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "chill" | | 2 | "weight" | | 3 | "effortless" | | 4 | "velvet" | | 5 | "vibrated" | | 6 | "intensity" | | 7 | "flicker" | | 8 | "unreadable" | | 9 | "navigated" | | 10 | "dance" | | 11 | "silence" | | 12 | "warmth" | | 13 | "facade" | | 14 | "charged" |
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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 | 80 | | matches | (empty) | |
| 89.29% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 80 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1365 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1109 | | uniqueNames | 7 | | maxNameDensity | 0.99 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 3 | | Rory | 11 | | London | 2 | | Lucien | 7 | | Moreau | 2 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Lucien" | | 3 | "Moreau" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 0.75% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 4 | | matches | | 0 | "felt like a physical touch" | | 1 | "looked like a paper explosion had occurre" | | 2 | "seemed larger now that he was occupying her personal space" | | 3 | "sounded like a man who had been drowning a" |
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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 | 1365 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 93 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 35.92 | | std | 23.1 | | cv | 0.643 | | sampleLengths | | 0 | 60 | | 1 | 8 | | 2 | 66 | | 3 | 16 | | 4 | 35 | | 5 | 14 | | 6 | 78 | | 7 | 28 | | 8 | 74 | | 9 | 36 | | 10 | 40 | | 11 | 37 | | 12 | 12 | | 13 | 30 | | 14 | 84 | | 15 | 22 | | 16 | 27 | | 17 | 1 | | 18 | 72 | | 19 | 71 | | 20 | 10 | | 21 | 17 | | 22 | 64 | | 23 | 41 | | 24 | 56 | | 25 | 11 | | 26 | 13 | | 27 | 51 | | 28 | 74 | | 29 | 17 | | 30 | 19 | | 31 | 33 | | 32 | 21 | | 33 | 34 | | 34 | 28 | | 35 | 31 | | 36 | 9 | | 37 | 25 |
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| 92.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 80 | | matches | | 0 | "was slicked" | | 1 | "was dressed" | | 2 | "was buried" |
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| 90.11% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 182 | | matches | | 0 | "was suffocating" | | 1 | "was occupying" | | 2 | "was like inviting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 3 | | flaggedSentences | 8 | | totalSentences | 93 | | ratio | 0.086 | | matches | | 0 | "Lucien’s gaze swept over her, his heterochromatic eyes—one amber, one a void of absolute black—searching her face with an intensity that felt like a physical touch." | | 1 | "He moved closer, and the scent of him hit her—sandalwood, expensive tobacco, and something metallic, like the air before a lightning strike." | | 2 | "He was the fixer who knew where every body in London’s supernatural underworld was buried; she was the human with a legal mind and a knack for solving problems that didn't exist in textbooks." | | 3 | "He dropped his cane—the thin blade inside clicking against the wood—and caught her waist, pulling her flush against him." | | 4 | "He didn't kiss her immediately; instead, he buried his face in the crook of her neck, inhaling sharply." | | 5 | "It was a collision—a frantic, starving reclamation." | | 6 | "A small, genuine smile touched his lips—the kind of smile he never showed the world." | | 7 | "He didn't hand it to her immediately; he held it just out of reach, his amber eye shimmering." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1120 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 44 | | adverbRatio | 0.039285714285714285 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.01607142857142857 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 14.68 | | std | 7.99 | | cv | 0.544 | | sampleLengths | | 0 | 29 | | 1 | 31 | | 2 | 8 | | 3 | 21 | | 4 | 30 | | 5 | 15 | | 6 | 3 | | 7 | 3 | | 8 | 10 | | 9 | 4 | | 10 | 31 | | 11 | 14 | | 12 | 26 | | 13 | 36 | | 14 | 16 | | 15 | 6 | | 16 | 22 | | 17 | 19 | | 18 | 10 | | 19 | 30 | | 20 | 15 | | 21 | 21 | | 22 | 15 | | 23 | 16 | | 24 | 18 | | 25 | 6 | | 26 | 10 | | 27 | 27 | | 28 | 12 | | 29 | 22 | | 30 | 8 | | 31 | 11 | | 32 | 34 | | 33 | 13 | | 34 | 3 | | 35 | 23 | | 36 | 11 | | 37 | 11 | | 38 | 7 | | 39 | 11 | | 40 | 9 | | 41 | 1 | | 42 | 3 | | 43 | 11 | | 44 | 13 | | 45 | 20 | | 46 | 25 | | 47 | 7 | | 48 | 18 | | 49 | 18 |
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| 40.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3118279569892473 | | totalSentences | 93 | | uniqueOpeners | 29 | |
| 45.66% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 73 | | matches | | | ratio | 0.014 | |
| 6.30% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 73 | | matches | | 0 | "He looked as though he" | | 1 | "He wore a charcoal suit" | | 2 | "He leaned slightly on his" | | 3 | "She didn’t breathe." | | 4 | "Her hand remained tight on" | | 5 | "His voice was a smooth," | | 6 | "she replied, her voice steadier" | | 7 | "He looked at the way" | | 8 | "He lingered on the small" | | 9 | "He knew the scent of" | | 10 | "He turned back to her," | | 11 | "He moved closer, and the" | | 12 | "It was the smell of" | | 13 | "He was the fixer who" | | 14 | "They had blurred the lines" | | 15 | "she asked, her voice dropping" | | 16 | "He shifted his grip on" | | 17 | "He took another step, forcing" | | 18 | "He was taller than she" | | 19 | "She could see the faint" |
| | ratio | 0.534 | |
| 1.10% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 73 | | matches | | 0 | "The three deadbolts clicked open" | | 1 | "He looked as though he" | | 2 | "He wore a charcoal suit" | | 3 | "He leaned slightly on his" | | 4 | "Rory didn’t move." | | 5 | "She didn’t breathe." | | 6 | "Her hand remained tight on" | | 7 | "His voice was a smooth," | | 8 | "she replied, her voice steadier" | | 9 | "Lucien’s gaze swept over her," | | 10 | "He looked at the way" | | 11 | "He lingered on the small" | | 12 | "Rory stepped back, not because" | | 13 | "Eva’s place was already a" | | 14 | "Lucien navigated the chaos with" | | 15 | "Ptolemy, Eva’s tabby cat, arched" | | 16 | "He knew the scent of" | | 17 | "Lucien remarked, glancing at a" | | 18 | "He turned back to her," | | 19 | "The question sparked a sudden," |
| | ratio | 0.918 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 28.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 8 | | matches | | 0 | "He looked as though he had been surgically inserted into the grime of Brick Lane from a higher plane of existence." | | 1 | "His voice was a smooth, low velvet that vibrated in the small space between them, a sound that immediately dragged her back to a year of shared secrets and midn…" | | 2 | "Lucien’s gaze swept over her, his heterochromatic eyes—one amber, one a void of absolute black—searching her face with an intensity that felt like a physical to…" | | 3 | "He looked at the way she was dressed in her delivery gear, the practical clothes of a woman who spent her days dodging traffic on a scooter, and then his eyes d…" | | 4 | "He was the fixer who knew where every body in London’s supernatural underworld was buried; she was the human with a legal mind and a knack for solving problems …" | | 5 | "The attraction was still there, a living thing that coiled in her gut and tightened." | | 6 | "Rory gasped, her hands sliding up to his shoulders, clutching the expensive fabric." | | 7 | "The mask was completely gone now, replaced by a raw, desperate longing that mirrored her own." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 5 | | matches | | 0 | "she replied, her voice steadier than she felt" | | 1 | "she asked, her voice dropping an octave" | | 2 | "she breathed, her eyes fluttering shut" | | 3 | "he whispered, his voice ragged" | | 4 | "she said, her voice regaining its cool, commanding edge" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 6 | | fancyTags | | 0 | "he conceded (concede)" | | 1 | "he murmured (murmur)" | | 2 | "she whispered (whisper)" | | 3 | "she breathed (breathe)" | | 4 | "he groaned (groan)" | | 5 | "he whispered (whisper)" |
| | dialogueSentences | 27 | | tagDensity | 0.481 | | leniency | 0.963 | | rawRatio | 0.462 | | effectiveRatio | 0.444 | |