| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 63 | | tagDensity | 0.238 | | leniency | 0.476 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1289 | | 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) | |
| 49.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1289 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "flicked" | | 1 | "weight" | | 2 | "warmth" | | 3 | "pulse" | | 4 | "tension" | | 5 | "measured" | | 6 | "silence" | | 7 | "flickered" | | 8 | "traced" | | 9 | "whisper" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 121 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 121 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 169 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1278 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 969 | | uniqueNames | 11 | | maxNameDensity | 0.72 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 7 | | Eva | 3 | | Moreau | 1 | | London | 1 | | French | 1 | | Golden | 1 | | Empress | 1 | | Brick | 1 | | Lane | 1 | | Ptolemy | 4 | | Lucien | 5 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Moreau" | | 3 | "Ptolemy" | | 4 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 1 | | matches | | 0 | "not quite a smile, not quite warmth" | | 1 | "not quite warmth" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.347 | | wordCount | 1278 | | matches | | 0 | "Not close, but closer" | | 1 | "not to her face, but to her wrist" | | 2 | "not the handle, but the flat of the steel" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 169 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 96 | | mean | 13.31 | | std | 14.09 | | cv | 1.059 | | sampleLengths | | 0 | 6 | | 1 | 66 | | 2 | 4 | | 3 | 60 | | 4 | 1 | | 5 | 28 | | 6 | 4 | | 7 | 17 | | 8 | 5 | | 9 | 6 | | 10 | 23 | | 11 | 19 | | 12 | 4 | | 13 | 4 | | 14 | 13 | | 15 | 13 | | 16 | 6 | | 17 | 13 | | 18 | 4 | | 19 | 2 | | 20 | 7 | | 21 | 58 | | 22 | 6 | | 23 | 3 | | 24 | 1 | | 25 | 5 | | 26 | 5 | | 27 | 25 | | 28 | 6 | | 29 | 20 | | 30 | 4 | | 31 | 37 | | 32 | 4 | | 33 | 9 | | 34 | 17 | | 35 | 5 | | 36 | 5 | | 37 | 8 | | 38 | 34 | | 39 | 4 | | 40 | 8 | | 41 | 2 | | 42 | 6 | | 43 | 25 | | 44 | 18 | | 45 | 3 | | 46 | 3 | | 47 | 22 | | 48 | 4 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 121 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 182 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 169 | | ratio | 0.053 | | matches | | 0 | "Books towered on every surface—scrolls unfurled, research notes pinned like moth wings, leather volumes stacked in teetering columns." | | 1 | "The deadbolts clicked back into place—one, two, three." | | 2 | "She smelled him—cedar, something darker, like iron left in rain." | | 3 | "Her height—five foot six—put her eye level with his throat." | | 4 | "His hand lifted—not to her face, but to her wrist." | | 5 | "The black eye softened, impossible for a half-demon, yet there it was—human regret." | | 6 | "Their mouths met—hard, urgent, filled with the months of silence and the hurt that had never been spoken aloud." | | 7 | "The thin blade slid free—silver, thin as a whisper, lethal and beautiful." | | 8 | "She took the blade—not the handle, but the flat of the steel—between her thumb and finger." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 987 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.034447821681864235 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004052684903748734 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 169 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 169 | | mean | 7.56 | | std | 5.23 | | cv | 0.692 | | sampleLengths | | 0 | 6 | | 1 | 14 | | 2 | 21 | | 3 | 18 | | 4 | 13 | | 5 | 4 | | 6 | 11 | | 7 | 10 | | 8 | 10 | | 9 | 4 | | 10 | 11 | | 11 | 14 | | 12 | 1 | | 13 | 5 | | 14 | 16 | | 15 | 7 | | 16 | 4 | | 17 | 3 | | 18 | 7 | | 19 | 4 | | 20 | 3 | | 21 | 5 | | 22 | 6 | | 23 | 15 | | 24 | 8 | | 25 | 6 | | 26 | 8 | | 27 | 5 | | 28 | 4 | | 29 | 4 | | 30 | 13 | | 31 | 3 | | 32 | 10 | | 33 | 6 | | 34 | 5 | | 35 | 8 | | 36 | 4 | | 37 | 2 | | 38 | 7 | | 39 | 10 | | 40 | 15 | | 41 | 9 | | 42 | 14 | | 43 | 10 | | 44 | 6 | | 45 | 3 | | 46 | 1 | | 47 | 5 | | 48 | 5 | | 49 | 7 |
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| 44.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.23076923076923078 | | totalSentences | 169 | | uniqueOpeners | 39 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 107 | | matches | | 0 | "Then she saw him." | | 1 | "Then his free hand lifted" | | 2 | "Instead, her fingers tightened on" | | 3 | "Then at him." |
| | ratio | 0.037 | |
| 29.35% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 107 | | matches | | 0 | "She twisted the brass cylinder," | | 1 | "His charcoal suit clung to" | | 2 | "His ivory cane tapped once" | | 3 | "Her bright blue eyes narrowed." | | 4 | "She pressed her palm against" | | 5 | "He stepped forward." | | 6 | "She didn’t drop it." | | 7 | "He pushed inside." | | 8 | "His voice stayed low, French" | | 9 | "His lip twitched, not quite" | | 10 | "She smelled him—cedar, something darker," | | 11 | "Her black hair hung straight" | | 12 | "She’d been half-asleep, reading Eva’s" | | 13 | "Her breath caught." | | 14 | "She gripped the counter, knuckles" | | 15 | "She faced him." | | 16 | "Her height—five foot six—put her" | | 17 | "She looked up anyway." | | 18 | "Her shoulder brushed his suit" | | 19 | "His jaw tightened." |
| | ratio | 0.477 | |
| 2.06% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 107 | | matches | | 0 | "The third deadbolt resisted Rory’s" | | 1 | "She twisted the brass cylinder," | | 2 | "Curry steam climbed from the" | | 3 | "Books towered on every surface—scrolls" | | 4 | "Ptolemy’s tail flicked across her" | | 5 | "Lucien Moreau filled the doorway," | | 6 | "His charcoal suit clung to" | | 7 | "Platinum hair lay slicked to" | | 8 | "The other, black as wet" | | 9 | "His ivory cane tapped once" | | 10 | "Her bright blue eyes narrowed." | | 11 | "The small crescent scar on" | | 12 | "She pressed her palm against" | | 13 | "He stepped forward." | | 14 | "The cane’s tip caught the" | | 15 | "She didn’t drop it." | | 16 | "He pushed inside." | | 17 | "His voice stayed low, French" | | 18 | "Rory shut the door behind" | | 19 | "The deadbolts clicked back into" |
| | ratio | 0.916 | |
| 46.73% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 107 | | matches | | 0 | "Now her pulse hammered in" |
| | ratio | 0.009 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 3 | | matches | | 0 | "His ivory cane tapped once against the threshold, a quiet sound that carried weight." | | 1 | "Her other hand pressed against his chest, feeling the heartbeat that was too fast, too human, too real for a demon’s blood." | | 2 | "He kissed her again, slower, deeper, the kind of kiss that rewrote every unsaid word into something physical, something that hurt and healed at once." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "she breathed (breathe)" |
| | dialogueSentences | 63 | | tagDensity | 0.159 | | leniency | 0.317 | | rawRatio | 0.2 | | effectiveRatio | 0.063 | |