| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 39 | | tagDensity | 0.128 | | leniency | 0.256 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 81.99% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 833 | | totalAiIsmAdverbs | 3 | | 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) | |
| 51.98% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 833 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "stomach" | | 1 | "unspoken" | | 2 | "flickered" | | 3 | "unreadable" | | 4 | "silence" | | 5 | "pulse" | | 6 | "could feel" | | 7 | "loomed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 73 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 73 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 107 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 828 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 613 | | uniqueNames | 3 | | maxNameDensity | 1.63 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Lucien" | | discoveredNames | | | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Rory" |
| | places | (empty) | | globalScore | 0.684 | | windowScore | 0.667 | |
| 25.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like he’d stepped straight out of" | | 1 | "as if remembering he wasn’t allowed to touch her" |
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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 | 828 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 107 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 15.05 | | std | 15.45 | | cv | 1.026 | | sampleLengths | | 0 | 43 | | 1 | 2 | | 2 | 42 | | 3 | 14 | | 4 | 5 | | 5 | 8 | | 6 | 63 | | 7 | 8 | | 8 | 10 | | 9 | 41 | | 10 | 10 | | 11 | 5 | | 12 | 1 | | 13 | 17 | | 14 | 6 | | 15 | 12 | | 16 | 41 | | 17 | 9 | | 18 | 30 | | 19 | 64 | | 20 | 3 | | 21 | 10 | | 22 | 8 | | 23 | 9 | | 24 | 8 | | 25 | 8 | | 26 | 27 | | 27 | 6 | | 28 | 11 | | 29 | 2 | | 30 | 5 | | 31 | 4 | | 32 | 11 | | 33 | 34 | | 34 | 8 | | 35 | 2 | | 36 | 3 | | 37 | 32 | | 38 | 9 | | 39 | 2 | | 40 | 13 | | 41 | 21 | | 42 | 2 | | 43 | 2 | | 44 | 29 | | 45 | 6 | | 46 | 5 | | 47 | 25 | | 48 | 10 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 73 | | matches | (empty) | |
| 87.96% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 119 | | matches | | 0 | "was looking" | | 1 | "was standing" |
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| 62.75% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 107 | | ratio | 0.028 | | matches | | 0 | "The door swung open, and there he was—Lucien Moreau, leaning on his ivory-handled cane, his platinum hair catching the dim light from the hallway." | | 1 | "But the way he was looking at her—like she was the only thing left in the world—made her step aside." | | 2 | "That night, she’d been so sure—so terrified—of what she’d felt when his lips had brushed her neck, when his hands had slid under her shirt." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 328 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.01524390243902439 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.006097560975609756 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 107 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 107 | | mean | 7.74 | | std | 6.25 | | cv | 0.807 | | sampleLengths | | 0 | 8 | | 1 | 6 | | 2 | 11 | | 3 | 14 | | 4 | 4 | | 5 | 2 | | 6 | 16 | | 7 | 14 | | 8 | 12 | | 9 | 11 | | 10 | 3 | | 11 | 2 | | 12 | 3 | | 13 | 2 | | 14 | 3 | | 15 | 3 | | 16 | 13 | | 17 | 24 | | 18 | 26 | | 19 | 8 | | 20 | 8 | | 21 | 2 | | 22 | 9 | | 23 | 28 | | 24 | 4 | | 25 | 4 | | 26 | 6 | | 27 | 5 | | 28 | 1 | | 29 | 4 | | 30 | 8 | | 31 | 5 | | 32 | 2 | | 33 | 4 | | 34 | 3 | | 35 | 9 | | 36 | 9 | | 37 | 20 | | 38 | 12 | | 39 | 9 | | 40 | 4 | | 41 | 6 | | 42 | 20 | | 43 | 15 | | 44 | 11 | | 45 | 25 | | 46 | 13 | | 47 | 3 | | 48 | 7 | | 49 | 3 |
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| 57.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.37383177570093457 | | totalSentences | 107 | | uniqueOpeners | 40 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 75.17% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 58 | | matches | | 0 | "She hadn’t been asleep." | | 1 | "She swung her legs over" | | 2 | "Her stomach twisted." | | 3 | "She undid the deadbolts one" | | 4 | "He looked like he’d stepped" | | 5 | "He exhaled, a wry tilt" | | 6 | "He didn’t answer immediately." | | 7 | "His grip tightened on the" | | 8 | "She should say no." | | 9 | "He chuckled, straightening." | | 10 | "His jaw tightened." | | 11 | "It had been too much." | | 12 | "She didn’t answer." | | 13 | "Her pulse kicked." | | 14 | "He stepped closer, his cane" | | 15 | "She could feel the heat" | | 16 | "His eyes burned into hers," | | 17 | "She could have pulled away." | | 18 | "His breath ghosted over her" | | 19 | "Her voice came out rough." |
| | ratio | 0.362 | |
| 63.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 58 | | matches | | 0 | "The knock came at three" | | 1 | "Rory sat up in bed," | | 2 | "The glow of streetlights filtered" | | 3 | "She hadn’t been asleep." | | 4 | "She swung her legs over" | | 5 | "The flat was silent except" | | 6 | "Ptolemy lifted his head from" | | 7 | "Rory padded to the door," | | 8 | "Her stomach twisted." | | 9 | "She undid the deadbolts one" | | 10 | "The door swung open, and" | | 11 | "He looked like he’d stepped" | | 12 | "He exhaled, a wry tilt" | | 13 | "The air between them crackled," | | 14 | "The last time she’d seen" | | 15 | "Rory crossed her arms." | | 16 | "He didn’t answer immediately." | | 17 | "His grip tightened on the" | | 18 | "A gust of wind rattled" | | 19 | "Rory shivered, suddenly aware of" |
| | ratio | 0.793 | |
| 86.21% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 58 | | matches | | 0 | "Before she’d walked out." |
| | ratio | 0.017 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 1 | | matches | | 0 | "Ptolemy had abandoned the armchair and was now weaving between Lucien’s legs, purring." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 98.72% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "he agreed (agree)" | | 1 | "Rory muttered (mutter)" |
| | dialogueSentences | 39 | | tagDensity | 0.103 | | leniency | 0.205 | | rawRatio | 0.5 | | effectiveRatio | 0.103 | |