| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 33 | | adverbTagCount | 3 | | adverbTags | | 0 | "he said quietly [quietly]" | | 1 | "he asked softly [softly]" | | 2 | "he said again [again]" |
| | dialogueSentences | 75 | | tagDensity | 0.44 | | leniency | 0.88 | | rawRatio | 0.091 | | effectiveRatio | 0.08 | |
| 79.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1743 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "precisely" | | 1 | "perfectly" | | 2 | "suddenly" | | 3 | "softly" | | 4 | "slowly" |
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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) | |
| 71.31% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1743 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "absolutely" | | 1 | "reminder" | | 2 | "weight" | | 3 | "tension" | | 4 | "silence" | | 5 | "perfect" | | 6 | "charged" | | 7 | "electric" | | 8 | "treacherous" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "let out a breath" | | count | 1 |
| | 1 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | 0 | "let out a breath" | | 1 | "knuckles went white" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 91 | | matches | (empty) | |
| 32.97% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 5 | | narrationSentences | 91 | | filterMatches | | | hedgeMatches | | 0 | "started to" | | 1 | "managed to" | | 2 | "seemed to" | | 3 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 49 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1724 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 37 | | unquotedAttributions | 0 | | matches | (empty) | |
| 99.82% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 1096 | | uniqueNames | 11 | | maxNameDensity | 1 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 11 | | Eva | 8 | | Cornwall | 1 | | Lucien | 10 | | Moreau | 2 | | Brick | 3 | | Lane | 3 | | Marseille | 1 | | Mayfair | 1 | | London | 2 | | Frenchman | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Eva" | | 2 | "Lucien" | | 3 | "Moreau" |
| | places | | 0 | "Cornwall" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "Marseille" | | 4 | "London" |
| | globalScore | 0.998 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 4 | | matches | | 0 | "quite read" | | 1 | "something close to it" | | 2 | "Not quite hope—he was too careful for hope—but something close to it" | | 3 | "as if learning the shape of it" | | 4 | "smelled like sandalwood and winter rain, 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 | 1724 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 132 | | matches | | 0 | "chose that moment" | | 1 | "was that she" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 71 | | mean | 24.28 | | std | 18.22 | | cv | 0.75 | | sampleLengths | | 0 | 37 | | 1 | 36 | | 2 | 49 | | 3 | 3 | | 4 | 1 | | 5 | 25 | | 6 | 31 | | 7 | 36 | | 8 | 19 | | 9 | 20 | | 10 | 30 | | 11 | 7 | | 12 | 8 | | 13 | 30 | | 14 | 57 | | 15 | 6 | | 16 | 47 | | 17 | 9 | | 18 | 38 | | 19 | 15 | | 20 | 31 | | 21 | 31 | | 22 | 36 | | 23 | 51 | | 24 | 11 | | 25 | 14 | | 26 | 2 | | 27 | 54 | | 28 | 10 | | 29 | 34 | | 30 | 21 | | 31 | 41 | | 32 | 6 | | 33 | 56 | | 34 | 8 | | 35 | 29 | | 36 | 6 | | 37 | 3 | | 38 | 4 | | 39 | 70 | | 40 | 45 | | 41 | 10 | | 42 | 45 | | 43 | 13 | | 44 | 49 | | 45 | 19 | | 46 | 27 | | 47 | 61 | | 48 | 4 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 201 | | matches | | 0 | "was wearing" | | 1 | "was leaving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 132 | | ratio | 0.083 | | matches | | 0 | "The sounds of Brick Lane drifted up through the thin walls—the clatter of pans from the curry house below, a motorbike growling past, someone laughing too loud on the pavement." | | 1 | "His voice was the same—that careful, cultivated accent that landed somewhere between Marseille and Mayfair, each word placed precisely where he wanted it." | | 2 | "\"I know.\" His mismatched eyes—one amber, one black as a moonless night—held hers steadily." | | 3 | "Not an invitation—not exactly—but enough that he could remove his cane without it being a victory for either of them." | | 4 | "\"Of course you know where I work.\" She rubbed at the crescent-shaped scar on her left wrist—an old habit, a tell she'd never managed to break." | | 5 | "The flat was its usual chaos—Eva's books and scrolls covering every surface, research notes pinned to the walls with an organizational system that made sense only to Eva herself." | | 6 | "\"I don't expect anything.\" He met her eyes, and she saw it then—the exhaustion he usually hid so well, the loneliness that she suspected mirrored her own." | | 7 | "He reached for his cane, and Aurora felt something cold settle in her chest—he was leaving, this was over, six months of silence would stretch into forever." | | 8 | "Not quite hope—he was too careful for hope—but something close to it." | | 9 | "Maybe that was the cruelest part of all—that even knowing what he was, some treacherous part of her still felt that way." | | 10 | "Inside, something quieter began to unfold—tentative as new growth, fragile as glass, but real." |
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| 84.59% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1111 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 64 | | adverbRatio | 0.0576057605760576 | | lyAdverbCount | 20 | | lyAdverbRatio | 0.018001800180018002 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 13.06 | | std | 9.71 | | cv | 0.744 | | sampleLengths | | 0 | 37 | | 1 | 36 | | 2 | 8 | | 3 | 30 | | 4 | 11 | | 5 | 3 | | 6 | 1 | | 7 | 25 | | 8 | 4 | | 9 | 23 | | 10 | 4 | | 11 | 16 | | 12 | 5 | | 13 | 15 | | 14 | 14 | | 15 | 5 | | 16 | 10 | | 17 | 10 | | 18 | 22 | | 19 | 8 | | 20 | 7 | | 21 | 8 | | 22 | 10 | | 23 | 20 | | 24 | 5 | | 25 | 25 | | 26 | 21 | | 27 | 6 | | 28 | 6 | | 29 | 36 | | 30 | 11 | | 31 | 9 | | 32 | 26 | | 33 | 12 | | 34 | 9 | | 35 | 6 | | 36 | 8 | | 37 | 23 | | 38 | 18 | | 39 | 13 | | 40 | 21 | | 41 | 3 | | 42 | 12 | | 43 | 29 | | 44 | 22 | | 45 | 11 | | 46 | 13 | | 47 | 1 | | 48 | 2 | | 49 | 13 |
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| 61.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.42424242424242425 | | totalSentences | 132 | | uniqueOpeners | 56 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 79 | | matches | | 0 | "Instead, Lucien Moreau stood in" | | 1 | "More like his father's side," | | 2 | "Instead, she moved to the" | | 3 | "Maybe that was the cruelest" |
| | ratio | 0.051 | |
| 57.97% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 79 | | matches | | 0 | "She started to close the" | | 1 | "His voice was the same—that" | | 2 | "She hated herself for that." | | 3 | "His mismatched eyes—one amber, one" | | 4 | "He simply stood there, elegant" | | 5 | "he said quietly" | | 6 | "She was suddenly aware that" | | 7 | "She rubbed at the crescent-shaped" | | 8 | "she said, and the words" | | 9 | "She didn't offer him a" | | 10 | "she told the window" | | 11 | "She heard him set the" | | 12 | "She turned to face him" | | 13 | "Her voice cracked, and she" | | 14 | "His expression shifted, something raw" | | 15 | "he asked softly" | | 16 | "She wrapped her arms around" | | 17 | "He took a step toward" | | 18 | "His voice was rough now," | | 19 | "she said, quieter now" |
| | ratio | 0.405 | |
| 80.25% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 79 | | matches | | 0 | "The three deadbolts clicked open" | | 1 | "The sounds of Brick Lane" | | 2 | "Aurora's grip tightened on the" | | 3 | "She started to close the" | | 4 | "His voice was the same—that" | | 5 | "She hated herself for that." | | 6 | "His mismatched eyes—one amber, one" | | 7 | "Aurora let out a breath" | | 8 | "A ghost of a smile" | | 9 | "Lucien didn't move to enter." | | 10 | "He simply stood there, elegant" | | 11 | "The hallway's single bare bulb" | | 12 | "he said quietly" | | 13 | "She was suddenly aware that" | | 14 | "She rubbed at the crescent-shaped" | | 15 | "The words landed like stones" | | 16 | "Aurora felt the ripples spread" | | 17 | "she said, and the words" | | 18 | "Lucien stepped past her into" | | 19 | "An escape route." |
| | ratio | 0.759 | |
| 63.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 79 | | matches | | 0 | "Because the honest answer was" |
| | ratio | 0.013 | |
| 43.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 5 | | matches | | 0 | "The three deadbolts clicked open one by one, and Aurora pulled the door back expecting to find her neighbor complaining about the smell of curry again, or perha…" | | 1 | "His voice was the same—that careful, cultivated accent that landed somewhere between Marseille and Mayfair, each word placed precisely where he wanted it." | | 2 | "The flat was its usual chaos—Eva's books and scrolls covering every surface, research notes pinned to the walls with an organizational system that made sense on…" | | 3 | "She heard him set the wine bottle down on the stack of books that served as Eva's coffee table." | | 4 | "Lucien Moreau, the Frenchman, the man who moved through London's supernatural underworld like he owned it, stood in Eva's cluttered flat and admitted to fear." |
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| 49.24% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 33 | | uselessAdditionCount | 5 | | matches | | 0 | "She started, but Lucien's cane shot out, jamming itself between the door and the frame with a soft thunk" | | 1 | "Eva's, her black hair still mussed from the pillow" | | 2 | "she said, and the words surprised her almost as much as they seemed to surprise him" | | 3 | "She wrapped, Eva's cardigan suddenly not warm enough" | | 4 | "he repeated, as if learning the shape of it" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 16 | | fancyCount | 2 | | fancyTags | | 0 | "she admitted (admit)" | | 1 | "he repeated (repeat)" |
| | dialogueSentences | 75 | | tagDensity | 0.213 | | leniency | 0.427 | | rawRatio | 0.125 | | effectiveRatio | 0.053 | |