| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 39 | | tagDensity | 0.359 | | leniency | 0.718 | | rawRatio | 0.071 | | effectiveRatio | 0.051 | |
| 83.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 889 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "softly" | | 2 | "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) | |
| 4.39% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 889 | | totalAiIsms | 17 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | word | "practiced ease" | | count | 1 |
| | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "silence" | | 1 | "flicked" | | 2 | "weight" | | 3 | "intensity" | | 4 | "pulse" | | 5 | "eyebrow" | | 6 | "practiced ease" | | 7 | "could feel" | | 8 | "warmth" | | 9 | "unreadable" | | 10 | "familiar" | | 11 | "electric" | | 12 | "charged" | | 13 | "traced" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "the weight of his silence" | | 1 | "sent a jolt through" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 78 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 78 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 881 | | ratio | 0 | | matches | (empty) | |
| 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 | 736 | | uniqueNames | 5 | | maxNameDensity | 0.95 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 6 | | Eva | 2 | | French | 1 | | Lucien | 7 | | Silence | 1 |
| | persons | | | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 881 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 13.98 | | std | 12.78 | | cv | 0.914 | | sampleLengths | | 0 | 54 | | 1 | 16 | | 2 | 39 | | 3 | 1 | | 4 | 31 | | 5 | 16 | | 6 | 2 | | 7 | 22 | | 8 | 9 | | 9 | 48 | | 10 | 7 | | 11 | 4 | | 12 | 16 | | 13 | 16 | | 14 | 4 | | 15 | 33 | | 16 | 5 | | 17 | 43 | | 18 | 13 | | 19 | 2 | | 20 | 10 | | 21 | 12 | | 22 | 5 | | 23 | 3 | | 24 | 38 | | 25 | 14 | | 26 | 12 | | 27 | 3 | | 28 | 28 | | 29 | 3 | | 30 | 5 | | 31 | 12 | | 32 | 13 | | 33 | 26 | | 34 | 5 | | 35 | 4 | | 36 | 7 | | 37 | 22 | | 38 | 5 | | 39 | 3 | | 40 | 13 | | 41 | 9 | | 42 | 2 | | 43 | 8 | | 44 | 36 | | 45 | 2 | | 46 | 9 | | 47 | 14 | | 48 | 16 | | 49 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 143 | | matches | | 0 | "was standing" | | 1 | "was smiling" |
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| 2.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 102 | | ratio | 0.049 | | matches | | 0 | "The knock at the door was sharp, precise—three quick raps that made Rory’s fingers freeze over the kettle she’d just set to boil." | | 1 | "She hadn’t seen him in months—not since the night she’d walked out of his office and into the rain, leaving behind the scent of bergamot and the weight of his silence." | | 2 | "The door swung open, and there he stood, cane in hand, his heterochromatic eyes—one amber, one black—fixed on her with an intensity that made her pulse jump." | | 3 | "When she opened her eyes, he was smiling—that rare, genuine smile that softened the edges of him." | | 4 | "The taste of him was intoxicating—dark coffee and something faintly metallic, the hint of his demon heritage." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 744 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.03763440860215054 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006720430107526882 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 8.64 | | std | 6.45 | | cv | 0.746 | | sampleLengths | | 0 | 23 | | 1 | 16 | | 2 | 15 | | 3 | 16 | | 4 | 16 | | 5 | 20 | | 6 | 3 | | 7 | 1 | | 8 | 31 | | 9 | 6 | | 10 | 4 | | 11 | 6 | | 12 | 2 | | 13 | 18 | | 14 | 4 | | 15 | 9 | | 16 | 27 | | 17 | 21 | | 18 | 7 | | 19 | 3 | | 20 | 1 | | 21 | 16 | | 22 | 13 | | 23 | 3 | | 24 | 3 | | 25 | 1 | | 26 | 17 | | 27 | 16 | | 28 | 5 | | 29 | 8 | | 30 | 22 | | 31 | 13 | | 32 | 13 | | 33 | 2 | | 34 | 7 | | 35 | 3 | | 36 | 3 | | 37 | 9 | | 38 | 5 | | 39 | 3 | | 40 | 20 | | 41 | 5 | | 42 | 4 | | 43 | 9 | | 44 | 14 | | 45 | 1 | | 46 | 11 | | 47 | 3 | | 48 | 24 | | 49 | 4 |
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| 65.69% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4117647058823529 | | totalSentences | 102 | | uniqueOpeners | 42 | |
| 49.02% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 68 | | matches | | 0 | "Then, closer than she expected," |
| | ratio | 0.015 | |
| 14.12% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 68 | | matches | | 0 | "Her breath hitched." | | 1 | "She hadn’t seen him in" | | 2 | "Her fingers hovered over the" | | 3 | "She could pretend she wasn’t" | | 4 | "She exhaled through her nose" | | 5 | "He looked the same as" | | 6 | "she said, crossing her arms" | | 7 | "His eyebrow arched." | | 8 | "He studied her, his gaze" | | 9 | "He moved with practiced ease," | | 10 | "He straightened, turning to face" | | 11 | "She didn’t answer." | | 12 | "she asked, already retreating" | | 13 | "She busied herself with mugs," | | 14 | "she asked, pouring hot water" | | 15 | "Her hands stilled." | | 16 | "He was standing just behind" | | 17 | "She didn’t turn around." | | 18 | "She forced a laugh." | | 19 | "he said, his voice dropping" |
| | ratio | 0.515 | |
| 26.18% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 68 | | matches | | 0 | "The knock at the door" | | 1 | "Eva wasn’t due back for" | | 2 | "The curry house downstairs had" | | 3 | "Ptolemy, sprawled across a pile" | | 4 | "Rory wiped her hands on" | | 5 | "Her breath hitched." | | 6 | "She hadn’t seen him in" | | 7 | "Her fingers hovered over the" | | 8 | "She could pretend she wasn’t" | | 9 | "She exhaled through her nose" | | 10 | "The door swung open, and" | | 11 | "He looked the same as" | | 12 | "she said, crossing her arms" | | 13 | "His eyebrow arched." | | 14 | "Lucien leaned slightly on his" | | 15 | "He studied her, his gaze" | | 16 | "Rory hesitated, then stepped aside." | | 17 | "The flat felt smaller with" | | 18 | "He moved with practiced ease," | | 19 | "Ptolemy, ever the traitor, stretched" |
| | ratio | 0.868 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 68.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 3 | | matches | | 0 | "The knock at the door was sharp, precise—three quick raps that made Rory’s fingers freeze over the kettle she’d just set to boil." | | 1 | "The door swung open, and there he stood, cane in hand, his heterochromatic eyes—one amber, one black—fixed on her with an intensity that made her pulse jump." | | 2 | "He studied her, his gaze lingering on the crescent scar on her wrist before flicking back up." |
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| 17.86% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 3 | | matches | | 0 | "He straightened, turning to face her" | | 1 | "he said, his voice dropping," | | 2 | "she said, the word slipping out before she could stop it" |
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| 47.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 4 | | fancyTags | | 0 | "Lucien murmured (murmur)" | | 1 | "he murmured (murmur)" | | 2 | "she whispered (whisper)" | | 3 | "she repeated (repeat)" |
| | dialogueSentences | 39 | | tagDensity | 0.282 | | leniency | 0.564 | | rawRatio | 0.364 | | effectiveRatio | 0.205 | |