| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 57 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1333 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "very" | | 1 | "slowly" | | 2 | "suddenly" |
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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) | |
| 54.99% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1333 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "measured" | | 1 | "familiar" | | 2 | "stomach" | | 3 | "unreadable" | | 4 | "flickered" | | 5 | "traced" | | 6 | "magnetic" | | 7 | "tension" | | 8 | "silence" | | 9 | "treacherous" | | 10 | "charged" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
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| | highlights | | 0 | "stomach dropped" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 97 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 97 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 134 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 19 | | totalWords | 1327 | | ratio | 0.014 | | matches | | 0 | "You use people, Luc. You collect them. I won’t be another trinket on your shelf." | | 1 | "mon cœur" | | 2 | "Mon cœur" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 847 | | uniqueNames | 5 | | maxNameDensity | 0.71 | | worstName | "Eva" | | maxWindowNameDensity | 1 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 6 | | Moreau | 1 | | Luc | 1 | | Rory | 3 | | Lucien | 4 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Luc" | | 3 | "Rory" | | 4 | "Lucien" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 34.62% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like a slap" | | 1 | "as if approaching a skittish animal" | | 2 | "seemed laughably inadequate" |
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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 | 1327 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 134 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 21.06 | | std | 18.13 | | cv | 0.861 | | sampleLengths | | 0 | 47 | | 1 | 10 | | 2 | 23 | | 3 | 13 | | 4 | 73 | | 5 | 13 | | 6 | 4 | | 7 | 5 | | 8 | 39 | | 9 | 39 | | 10 | 14 | | 11 | 7 | | 12 | 3 | | 13 | 56 | | 14 | 16 | | 15 | 5 | | 16 | 16 | | 17 | 3 | | 18 | 45 | | 19 | 5 | | 20 | 52 | | 21 | 5 | | 22 | 40 | | 23 | 20 | | 24 | 4 | | 25 | 53 | | 26 | 12 | | 27 | 4 | | 28 | 45 | | 29 | 46 | | 30 | 11 | | 31 | 4 | | 32 | 4 | | 33 | 35 | | 34 | 16 | | 35 | 22 | | 36 | 4 | | 37 | 20 | | 38 | 9 | | 39 | 57 | | 40 | 3 | | 41 | 41 | | 42 | 4 | | 43 | 27 | | 44 | 46 | | 45 | 21 | | 46 | 7 | | 47 | 11 | | 48 | 44 | | 49 | 16 |
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| 98.03% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 97 | | matches | | 0 | "was slicked" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 146 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 134 | | ratio | 0.007 | | matches | | 0 | "He surveyed the chaos of Eva’s research—the books stacked on the sofa, the scrolls unfurled on the floor, the cat perched on top of a precarious pile of notes, watching him with slitted eyes." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 850 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.03529411764705882 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.011764705882352941 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 134 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 134 | | mean | 9.9 | | std | 7.32 | | cv | 0.739 | | sampleLengths | | 0 | 16 | | 1 | 12 | | 2 | 8 | | 3 | 3 | | 4 | 2 | | 5 | 4 | | 6 | 2 | | 7 | 10 | | 8 | 5 | | 9 | 15 | | 10 | 3 | | 11 | 13 | | 12 | 12 | | 13 | 10 | | 14 | 12 | | 15 | 13 | | 16 | 20 | | 17 | 6 | | 18 | 13 | | 19 | 4 | | 20 | 5 | | 21 | 5 | | 22 | 23 | | 23 | 4 | | 24 | 7 | | 25 | 11 | | 26 | 13 | | 27 | 4 | | 28 | 3 | | 29 | 8 | | 30 | 8 | | 31 | 6 | | 32 | 7 | | 33 | 3 | | 34 | 7 | | 35 | 15 | | 36 | 34 | | 37 | 16 | | 38 | 5 | | 39 | 11 | | 40 | 5 | | 41 | 3 | | 42 | 34 | | 43 | 11 | | 44 | 5 | | 45 | 11 | | 46 | 5 | | 47 | 36 | | 48 | 5 | | 49 | 21 |
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| 54.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.373134328358209 | | totalSentences | 134 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 87 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 87 | | matches | | 0 | "It wasn’t Eva." | | 1 | "It wasn’t a delivery." | | 2 | "She pulled the door open" | | 3 | "Her stomach dropped." | | 4 | "His voice was a low" | | 5 | "She closed the door, fumbled" | | 6 | "His platinum hair was slicked" | | 7 | "He leaned on his ivory-handled" | | 8 | "she said, not moving from" | | 9 | "He didn’t smile" | | 10 | "He lifted his other hand," | | 11 | "They’d been sharp, final things" | | 12 | "*You use people, Luc." | | 13 | "You collect them." | | 14 | "I won’t be another trinket" | | 15 | "He’d just watched her go," | | 16 | "she said, a weak deflection" | | 17 | "She stepped back, a silent," | | 18 | "He moved past her into" | | 19 | "He surveyed the chaos of" |
| | ratio | 0.552 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 87 | | matches | | 0 | "The third deadbolt slid back" | | 1 | "Rory stared at the worn" | | 2 | "The knock had been precise," | | 3 | "It wasn’t Eva." | | 4 | "It wasn’t a delivery." | | 5 | "She pulled the door open" | | 6 | "Charcoal wool filled the gap." | | 7 | "A familiar scent of bergamot" | | 8 | "Her stomach dropped." | | 9 | "His voice was a low" | | 10 | "She closed the door, fumbled" | | 11 | "Lucien Moreau stood on her" | | 12 | "His platinum hair was slicked" | | 13 | "The amber and black of" | | 14 | "He leaned on his ivory-handled" | | 15 | "A demon didn’t need a" | | 16 | "she said, not moving from" | | 17 | "He didn’t smile" | | 18 | "He lifted his other hand," | | 19 | "The shape was unmistakable." |
| | ratio | 0.943 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 87 | | matches | (empty) | | ratio | 0 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "The raw admission hung in the air, at odds with the controlled man who made it." | | 1 | "It was the closest he’d ever come to acknowledging the thing that had always simmered between them, the magnetic pull she’d fought so hard to deny before finall…" |
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| 72.37% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, not moving from the doorway" | | 1 | "she challenged, her voice softer than she intended" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she challenged (challenge)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 57 | | tagDensity | 0.088 | | leniency | 0.175 | | rawRatio | 0.4 | | effectiveRatio | 0.07 | |