| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 39 | | adverbTagCount | 4 | | adverbTags | | 0 | "His voice softened slightly [slightly]" | | 1 | "His accent thickened slightly [slightly]" | | 2 | "Rory moved around [around]" | | 3 | "he said simply [simply]" |
| | dialogueSentences | 104 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.103 | | effectiveRatio | 0.077 | |
| 68.61% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1593 | | totalAiIsmAdverbs | 10 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "slightly" | | 1 | "cautiously" | | 2 | "suddenly" | | 3 | "really" | | 4 | "quickly" | | 5 | "barely above a whisper" |
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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) | |
| 40.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1593 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "racing" | | 1 | "familiar" | | 2 | "electric" | | 3 | "flickered" | | 4 | "perfect" | | 5 | "stomach" | | 6 | "calculating" | | 7 | "echoing" | | 8 | "implication" | | 9 | "charged" | | 10 | "silence" | | 11 | "tension" | | 12 | "whisper" | | 13 | "dance" |
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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 | 87 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 87 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 150 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1583 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 27 | | unquotedAttributions | 0 | | matches | (empty) | |
| 14.53% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 812 | | uniqueNames | 12 | | maxNameDensity | 2.71 | | worstName | "Rory" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 22 | | Lucien | 16 | | Moreau | 2 | | Eva | 2 | | French | 1 | | Paris | 1 | | Close | 1 | | Windsor | 1 | | Aurora | 1 | | London | 1 | | Ptolemy | 3 | | Eighteen | 3 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Eva" | | 4 | "Ptolemy" |
| | places | | 0 | "Paris" | | 1 | "Windsor" | | 2 | "London" |
| | globalScore | 0.145 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1583 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 150 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 89 | | mean | 17.79 | | std | 10.52 | | cv | 0.591 | | sampleLengths | | 0 | 11 | | 1 | 31 | | 2 | 32 | | 3 | 35 | | 4 | 14 | | 5 | 21 | | 6 | 16 | | 7 | 31 | | 8 | 23 | | 9 | 17 | | 10 | 32 | | 11 | 12 | | 12 | 23 | | 13 | 33 | | 14 | 3 | | 15 | 14 | | 16 | 3 | | 17 | 24 | | 18 | 33 | | 19 | 6 | | 20 | 17 | | 21 | 12 | | 22 | 9 | | 23 | 17 | | 24 | 15 | | 25 | 39 | | 26 | 7 | | 27 | 42 | | 28 | 12 | | 29 | 19 | | 30 | 38 | | 31 | 14 | | 32 | 24 | | 33 | 26 | | 34 | 5 | | 35 | 5 | | 36 | 14 | | 37 | 10 | | 38 | 3 | | 39 | 20 | | 40 | 20 | | 41 | 15 | | 42 | 16 | | 43 | 16 | | 44 | 5 | | 45 | 15 | | 46 | 22 | | 47 | 21 | | 48 | 26 | | 49 | 22 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 87 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 144 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 150 | | ratio | 0.013 | | matches | | 0 | "He leaned slightly on his ivory-handled cane, his mismatched eyes—one amber, one black—taking in every detail of her appearance." | | 1 | "The familiar scent of his cologne—something expensive with notes of sandalwood and amber—briefly overwhelmed her as he passed." |
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| 80.60% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 819 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 39 | | adverbRatio | 0.047619047619047616 | | lyAdverbCount | 23 | | lyAdverbRatio | 0.028083028083028084 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 150 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 150 | | mean | 10.55 | | std | 5.95 | | cv | 0.564 | | sampleLengths | | 0 | 11 | | 1 | 31 | | 2 | 32 | | 3 | 16 | | 4 | 19 | | 5 | 14 | | 6 | 9 | | 7 | 12 | | 8 | 12 | | 9 | 4 | | 10 | 8 | | 11 | 4 | | 12 | 11 | | 13 | 8 | | 14 | 23 | | 15 | 10 | | 16 | 7 | | 17 | 7 | | 18 | 18 | | 19 | 7 | | 20 | 12 | | 21 | 11 | | 22 | 12 | | 23 | 10 | | 24 | 14 | | 25 | 9 | | 26 | 3 | | 27 | 6 | | 28 | 8 | | 29 | 3 | | 30 | 18 | | 31 | 6 | | 32 | 9 | | 33 | 8 | | 34 | 16 | | 35 | 6 | | 36 | 12 | | 37 | 5 | | 38 | 12 | | 39 | 9 | | 40 | 11 | | 41 | 6 | | 42 | 9 | | 43 | 6 | | 44 | 29 | | 45 | 10 | | 46 | 7 | | 47 | 10 | | 48 | 13 | | 49 | 19 |
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| 66.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.43333333333333335 | | totalSentences | 150 | | uniqueOpeners | 65 | |
| 38.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 87 | | matches | | 0 | "Only her father called her" |
| | ratio | 0.011 | |
| 95.86% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 87 | | matches | | 0 | "His voice carried that same" | | 1 | "He leaned slightly on his" | | 2 | "She crossed her arms, aware" | | 3 | "He tapped his cane once" | | 4 | "His gaze swept across the" | | 5 | "He turned to face her" | | 6 | "She filled the electric kettle," | | 7 | "she offered, knowing he'd refuse" | | 8 | "He remained standing, one hand" | | 9 | "His eyes flickered at the" | | 10 | "He moved toward her, his" | | 11 | "He stopped at the edge" | | 12 | "His voice softened slightly" | | 13 | "She pushed the unwanted mug" | | 14 | "He didn't touch the mug" | | 15 | "She searched his mismatched eyes" | | 16 | "His fingers drummed once on" | | 17 | "She cut herself off, unwilling" | | 18 | "She squared her shoulders" | | 19 | "His accent thickened slightly, as" |
| | ratio | 0.31 | |
| 5.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 87 | | matches | | 0 | "The door swung open, and" | | 1 | "The words tumbled out of" | | 2 | "Lucien Moreau stood in the" | | 3 | "His voice carried that same" | | 4 | "He leaned slightly on his" | | 5 | "Ptolemy the tabby darted between" | | 6 | "Rory said, her throat suddenly" | | 7 | "Lucien's gaze remained fixed on" | | 8 | "Rory hesitated, her mind racing" | | 9 | "She crossed her arms, aware" | | 10 | "He tapped his cane once" | | 11 | "The familiar scent of his" | | 12 | "The cramped flat suddenly felt" | | 13 | "Ptolemy immediately jumped onto the" | | 14 | "Rory closed the door, engaging" | | 15 | "The tiny rituals of security" | | 16 | "Lucien remarked, though his tone" | | 17 | "His gaze swept across the" | | 18 | "He turned to face her" | | 19 | "A ghost of a smile" |
| | ratio | 0.908 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 87 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 1 | | matches | | 0 | "Lucien Moreau stood in the threshold of Eva's flat, impeccably dressed as always in a tailored charcoal suit that made his platinum blond hair seem almost lumin…" |
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| 35.26% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 39 | | uselessAdditionCount | 7 | | matches | | 0 | "Rory said, her throat suddenly dry" | | 1 | "Lucien remarked, though his tone suggested the opposite" | | 2 | "He moved, his cane making soft taps against the floorboards" | | 3 | "She cut, unwilling to finish the thought" | | 4 | "Rory moved around, needing to establish some control in this conversation" | | 5 | "he interrupted, his voice low" | | 6 | "Rory said, her voice barely above a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 4 | | fancyTags | | 0 | "Lucien challenged (challenge)" | | 1 | "she muttered (mutter)" | | 2 | "Rory laughed (laugh)" | | 3 | "he interrupted (interrupt)" |
| | dialogueSentences | 104 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 0.5 | | effectiveRatio | 0.077 | |