| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 3 | | adverbTags | | 0 | "He stopped just [just]" | | 1 | "she said flatly [flatly]" | | 2 | "he said quietly [quietly]" |
| | dialogueSentences | 77 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.143 | | effectiveRatio | 0.078 | |
| 75.04% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1402 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "slowly" | | 3 | "really" |
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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) | |
| 67.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1402 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "intensity" | | 1 | "stomach" | | 2 | "silence" | | 3 | "pulse" | | 4 | "predator" | | 5 | "could feel" | | 6 | "flicked" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 141 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 141 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 195 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 17 | | markdownWords | 42 | | totalWords | 1386 | | ratio | 0.03 | | matches | | 0 | "him" | | 1 | "had" | | 2 | "was" | | 3 | "Stay." | | 4 | "Leave." | | 5 | "Why are you here?" | | 6 | "Why did you ever leave?" | | 7 | "Laila" | | 8 | "did" | | 9 | "Aurora" | | 10 | "them" | | 11 | "him" | | 12 | "you" | | 13 | "click" | | 14 | "hunter" | | 15 | "His hands in her hair. Her back against the wall. The way he’d whispered her name like a prayer." | | 16 | "me" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 26 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 1064 | | uniqueNames | 7 | | maxNameDensity | 1.88 | | worstName | "Lucien" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 17 | | Lucien | 20 | | Heat | 1 | | Close | 1 | | Silence | 1 | | Camden | 1 | | Didn | 4 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Heat" | | 3 | "Silence" |
| | places | | | globalScore | 0.56 | | windowScore | 0.167 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 3 | | matches | | 0 | "something like burnt sugar and gunpowder—lin" | | 1 | "smelled like him—expensive cologne, old pa" | | 2 | "looked like a king holding court" |
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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 | 1386 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 195 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 108 | | mean | 12.83 | | std | 12.53 | | cv | 0.976 | | sampleLengths | | 0 | 54 | | 1 | 8 | | 2 | 53 | | 3 | 8 | | 4 | 41 | | 5 | 7 | | 6 | 5 | | 7 | 70 | | 8 | 26 | | 9 | 13 | | 10 | 20 | | 11 | 2 | | 12 | 2 | | 13 | 41 | | 14 | 16 | | 15 | 15 | | 16 | 22 | | 17 | 6 | | 18 | 4 | | 19 | 32 | | 20 | 10 | | 21 | 4 | | 22 | 22 | | 23 | 9 | | 24 | 13 | | 25 | 4 | | 26 | 40 | | 27 | 7 | | 28 | 21 | | 29 | 13 | | 30 | 28 | | 31 | 31 | | 32 | 12 | | 33 | 13 | | 34 | 4 | | 35 | 8 | | 36 | 36 | | 37 | 8 | | 38 | 2 | | 39 | 15 | | 40 | 2 | | 41 | 37 | | 42 | 37 | | 43 | 3 | | 44 | 5 | | 45 | 2 | | 46 | 5 | | 47 | 14 | | 48 | 33 | | 49 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 141 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 199 | | matches | | 0 | "was, standing" | | 1 | "was looking" |
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| 10.99% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 195 | | ratio | 0.046 | | matches | | 0 | "His heterochromatic eyes—amber and black—locked onto hers with an intensity that made her stomach clench." | | 1 | "But here she was, standing in the dim hallway with the scent of old books and something darker—something like burnt sugar and gunpowder—lingering in the air between them." | | 2 | "The invitation—or the challenge—was clear." | | 3 | "The air smelled like him—expensive cologne, old paper, and the faintest hint of something metallic, like blood." | | 4 | "And the way he was looking at her—like she was both a threat and a miracle—made her skin prickle." | | 5 | "The way he said her name—like it was a secret, like it was sacred—made her breath catch." | | 6 | "Then Lucien laughed—a low, bitter sound—and reached for the whiskey bottle on the side table." | | 7 | "The couch was old, the leather worn smooth in places, but it still held the shape of him—of *them*." | | 8 | "Then—" |
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| 92.87% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1080 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 52 | | adverbRatio | 0.04814814814814815 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009259259259259259 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 195 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 195 | | mean | 7.11 | | std | 5.32 | | cv | 0.749 | | sampleLengths | | 0 | 15 | | 1 | 24 | | 2 | 15 | | 3 | 8 | | 4 | 8 | | 5 | 17 | | 6 | 28 | | 7 | 7 | | 8 | 1 | | 9 | 3 | | 10 | 2 | | 11 | 14 | | 12 | 22 | | 13 | 7 | | 14 | 5 | | 15 | 9 | | 16 | 13 | | 17 | 13 | | 18 | 18 | | 19 | 17 | | 20 | 15 | | 21 | 4 | | 22 | 3 | | 23 | 4 | | 24 | 13 | | 25 | 11 | | 26 | 9 | | 27 | 2 | | 28 | 2 | | 29 | 9 | | 30 | 4 | | 31 | 5 | | 32 | 4 | | 33 | 19 | | 34 | 16 | | 35 | 6 | | 36 | 9 | | 37 | 2 | | 38 | 9 | | 39 | 11 | | 40 | 6 | | 41 | 4 | | 42 | 11 | | 43 | 17 | | 44 | 4 | | 45 | 6 | | 46 | 4 | | 47 | 4 | | 48 | 17 | | 49 | 5 |
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| 46.92% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.29743589743589743 | | totalSentences | 195 | | uniqueOpeners | 58 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 15 | | totalSentences | 117 | | matches | | 0 | "Just stared at her like" | | 1 | "Then, without a word, he" | | 2 | "Then the chain." | | 3 | "Then the second deadbolt." | | 4 | "Instead, she lifted her chin." | | 5 | "Then Lucien laughed—a low, bitter" | | 6 | "Then, because she had no" | | 7 | "Then, because she had no" | | 8 | "Just stared at the photograph" | | 9 | "Then, slowly, he reached out" | | 10 | "Instead, she said," | | 11 | "Then, slowly, he set the" | | 12 | "Just stared at her like" | | 13 | "Then, finally, he reached for" | | 14 | "Then, because she had no" |
| | ratio | 0.128 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 117 | | matches | | 0 | "His heterochromatic eyes—amber and black—locked" | | 1 | "he said, voice rough as" | | 2 | "She should have known better" | | 3 | "She turned just in time" | | 4 | "she asked, though her pulse" | | 5 | "She rolled her eyes, but" | | 6 | "She *had* shown up unannounced." | | 7 | "she asked, nodding at the" | | 8 | "His voice was low, dangerous" | | 9 | "She reached for the glass" | | 10 | "She set the glass back" | | 11 | "He pushed off the door," | | 12 | "His lips curved, just slightly." | | 13 | "He stopped just out of" | | 14 | "His voice dropped, rougher now" | | 15 | "He stepped closer" | | 16 | "She should have stepped back." | | 17 | "He poured himself a glass," | | 18 | "he said, nodding at the" | | 19 | "he added, taking a slow" |
| | ratio | 0.299 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 117 | | matches | | 0 | "The door swung open before" | | 1 | "Lucien stood there, one hand" | | 2 | "His heterochromatic eyes—amber and black—locked" | | 3 | "he said, voice rough as" | | 4 | "She should have known better" | | 5 | "Rory agreed, tilting her chin" | | 6 | "Lucien didn’t move." | | 7 | "The silence stretched, thick and" | | 8 | "The invitation—or the challenge—was clear." | | 9 | "Rory exhaled through her nose" | | 10 | "The flat was exactly as" | | 11 | "Stacks of leather-bound books teetered" | | 12 | "A half-empty glass of something" | | 13 | "The air smelled like him—expensive" | | 14 | "She turned just in time" | | 15 | "The deadbolt slid home." | | 16 | "she asked, though her pulse" | | 17 | "Lucien leaned against the door," | | 18 | "She rolled her eyes, but" | | 19 | "She *had* shown up unannounced." |
| | ratio | 0.718 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 4 | | totalSentences | 117 | | matches | | 0 | "Because he was right." | | 1 | "Because I trust you." | | 2 | "Because I don’t know who" | | 3 | "Because I missed you." |
| | ratio | 0.034 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 1 | | matches | | 0 | "His heterochromatic eyes—amber and black—locked onto hers with an intensity that made her stomach clench." |
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| 77.38% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 2 | | matches | | 0 | "he said, voice rough as gravel underfoot" | | 1 | "she asked, though her pulse jumped at the finality of it" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 3 | | fancyTags | | 0 | "Rory agreed (agree)" | | 1 | "he added (add)" | | 2 | "Lucien corrected (correct)" |
| | dialogueSentences | 77 | | tagDensity | 0.169 | | leniency | 0.338 | | rawRatio | 0.231 | | effectiveRatio | 0.078 | |