| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | | dialogueSentences | 35 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0.067 | | effectiveRatio | 0.057 | |
| 82.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1126 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "precisely" | | 1 | "very" | | 2 | "slightly" |
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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) | |
| 73.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1126 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "weight" | | 1 | "stomach" | | 2 | "navigated" | | 3 | "flickered" | | 4 | "perfect" | | 5 | "could feel" |
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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 | 51 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 51 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 69 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1135 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 725 | | uniqueNames | 8 | | maxNameDensity | 0.83 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 3 | | Rory | 5 | | Lucien | 6 | | Moreau | 1 | | French | 1 | | Ptolemy | 1 | | Bengali | 1 | | Tube | 1 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Lucien" | | 3 | "Moreau" | | 4 | "Ptolemy" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 30 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like the most reckless thing she'd" | | 1 | "quite a smile" |
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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 | 1135 | | matches | (empty) | |
| 0.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 4 | | totalSentences | 69 | | matches | | 0 | "times that a" | | 1 | "hated that he" | | 2 | "hated that he'd" | | 3 | "was that every" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 35.47 | | std | 30.99 | | cv | 0.874 | | sampleLengths | | 0 | 92 | | 1 | 6 | | 2 | 77 | | 3 | 27 | | 4 | 7 | | 5 | 20 | | 6 | 55 | | 7 | 28 | | 8 | 15 | | 9 | 32 | | 10 | 96 | | 11 | 4 | | 12 | 1 | | 13 | 9 | | 14 | 25 | | 15 | 74 | | 16 | 5 | | 17 | 8 | | 18 | 68 | | 19 | 24 | | 20 | 93 | | 21 | 30 | | 22 | 84 | | 23 | 5 | | 24 | 10 | | 25 | 45 | | 26 | 33 | | 27 | 83 | | 28 | 51 | | 29 | 14 | | 30 | 8 | | 31 | 6 |
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| 98.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 51 | | matches | | |
| 92.47% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 124 | | matches | | 0 | "wasn't doing" | | 1 | "was closing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 1 | | flaggedSentences | 7 | | totalSentences | 69 | | ratio | 0.101 | | matches | | 0 | "Rory had told Eva a dozen times to get it fixed, and Eva had told her a dozen times that a sticky lock was a feature, not a flaw — anyone trying to break in would lose their patience before they lost their nerve." | | 1 | "The amber eye caught the bare bulb overhead and glinted; the black one gave her nothing at all." | | 2 | "\"Rory,\" he said, and the way he said it — the way her name softened on a French tongue — made her stomach do something she resented." | | 3 | "It always astonished her how small Eva's place felt the moment another person entered — the books stacked in leaning towers on every surface, the scrolls in their cardboard tubes, the research notes pinned and taped and weighted under chipped mugs." | | 4 | "Something flickered across his face — there and gone, like the shadow of a bird across water." | | 5 | "\"I know.\" He set the cane against the arm of the sofa and that small surrender — a man like Lucien giving up the thing that doubled as a weapon — made her go still." | | 6 | "She laughed — one short, helpless sound that surprised them both." |
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| 93.74% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 721 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.047156726768377254 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004160887656033287 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 69 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 69 | | mean | 16.45 | | std | 14.11 | | cv | 0.858 | | sampleLengths | | 0 | 5 | | 1 | 44 | | 2 | 43 | | 3 | 6 | | 4 | 25 | | 5 | 7 | | 6 | 4 | | 7 | 23 | | 8 | 18 | | 9 | 27 | | 10 | 7 | | 11 | 4 | | 12 | 2 | | 13 | 12 | | 14 | 2 | | 15 | 27 | | 16 | 17 | | 17 | 11 | | 18 | 12 | | 19 | 16 | | 20 | 4 | | 21 | 6 | | 22 | 5 | | 23 | 32 | | 24 | 5 | | 25 | 41 | | 26 | 20 | | 27 | 3 | | 28 | 27 | | 29 | 4 | | 30 | 1 | | 31 | 9 | | 32 | 8 | | 33 | 17 | | 34 | 17 | | 35 | 42 | | 36 | 10 | | 37 | 5 | | 38 | 5 | | 39 | 8 | | 40 | 35 | | 41 | 33 | | 42 | 3 | | 43 | 3 | | 44 | 18 | | 45 | 38 | | 46 | 55 | | 47 | 23 | | 48 | 7 | | 49 | 29 |
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| 56.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4057971014492754 | | totalSentences | 69 | | uniqueOpeners | 28 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 44 | | matches | | 0 | "Just a polite, immovable interruption," | | 1 | "Somewhere below them the curry" |
| | ratio | 0.045 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 44 | | matches | | 0 | "It landed on Lucien Moreau" | | 1 | "He stood in the dim" | | 2 | "It was always immaculate." | | 3 | "he said, and the way" | | 4 | "She started to close the" | | 5 | "His cane caught it." | | 6 | "She hated that he knew" | | 7 | "She hated that he'd noticed." | | 8 | "he said again, gentler now," | | 9 | "It always astonished her how" | | 10 | "He didn't sit." | | 11 | "He stood in the narrow" | | 12 | "She crossed her arms" | | 13 | "He had a beautiful face" | | 14 | "She'd built an entire foolish" | | 15 | "She wasn't doing that again." | | 16 | "He set the cane against" | | 17 | "She felt the floor shift" | | 18 | "He looked at her steadily," | | 19 | "She laughed — one short," |
| | ratio | 0.614 | |
| 5.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 44 | | matches | | 0 | "The third deadbolt always stuck." | | 1 | "Rory had told Eva a" | | 2 | "It landed on Lucien Moreau" | | 3 | "He stood in the dim" | | 4 | "The charcoal suit was immaculate," | | 5 | "It was always immaculate." | | 6 | "The amber eye caught the" | | 7 | "he said, and the way" | | 8 | "She started to close the" | | 9 | "His cane caught it." | | 10 | "Ptolemy had wound himself around" | | 11 | "A faint smile" | | 12 | "That landed too close." | | 13 | "She hated that he knew" | | 14 | "She hated that he'd noticed." | | 15 | "he said again, gentler now," | | 16 | "The flat swallowed him whole." | | 17 | "It always astonished her how" | | 18 | "Lucien navigated it with the" | | 19 | "He didn't sit." |
| | ratio | 0.909 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 44 | | matches | | 0 | "Even now, well past midnight," |
| | ratio | 0.023 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 3 | | matches | | 0 | "So when the knock came at half past eleven, soft but insistent, Rory found herself fighting the brass for a good ten seconds before the door swung open, and by …" | | 1 | "Lucien navigated it with the careful economy of a man who'd learned long ago not to disturb other people's chaos." | | 2 | "She could feel his heart underneath it, going far too fast for a man who pretended he had none." |
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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 | 8 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 35 | | tagDensity | 0.229 | | leniency | 0.457 | | rawRatio | 0.125 | | effectiveRatio | 0.057 | |