| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 2 | | adverbTags | | 0 | "He moved around [around]" | | 1 | "he said quietly [quietly]" |
| | dialogueSentences | 84 | | tagDensity | 0.274 | | leniency | 0.548 | | rawRatio | 0.087 | | effectiveRatio | 0.048 | |
| 88.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1731 | | totalAiIsmAdverbs | 4 | | 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) | |
| 68.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1731 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "echoed" | | 1 | "marble" | | 2 | "porcelain" | | 3 | "magnetic" | | 4 | "pulse" | | 5 | "flickered" | | 6 | "pulsed" | | 7 | "whisper" |
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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 | 118 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 118 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 178 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 54 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1731 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 24 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1045 | | uniqueNames | 20 | | maxNameDensity | 0.67 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Chapter | 1 | | Four | 1 | | Rory | 5 | | Moreau | 2 | | Golden | 1 | | Empress | 1 | | Ptolemy | 4 | | Eva | 4 | | Edinburgh | 1 | | Breathed | 1 | | Breakfast | 1 | | Borough | 1 | | Market | 1 | | Marseille | 2 | | Apollinaire | 1 | | Lucien | 7 | | Silver | 1 | | London | 1 | | Scotland | 1 | | Yard | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Ptolemy" | | 3 | "Eva" | | 4 | "Lucien" | | 5 | "Silver" |
| | places | | 0 | "Edinburgh" | | 1 | "Borough" | | 2 | "Market" | | 3 | "Marseille" | | 4 | "London" | | 5 | "Scotland" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like the man she'd met in that Mar" |
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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 | 1731 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 178 | | matches | | 0 | "remembered that she" | | 1 | "learned that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 88 | | mean | 19.67 | | std | 19.67 | | cv | 1 | | sampleLengths | | 0 | 3 | | 1 | 31 | | 2 | 4 | | 3 | 46 | | 4 | 1 | | 5 | 24 | | 6 | 17 | | 7 | 47 | | 8 | 3 | | 9 | 6 | | 10 | 9 | | 11 | 32 | | 12 | 2 | | 13 | 8 | | 14 | 93 | | 15 | 28 | | 16 | 15 | | 17 | 7 | | 18 | 30 | | 19 | 5 | | 20 | 33 | | 21 | 5 | | 22 | 2 | | 23 | 2 | | 24 | 28 | | 25 | 23 | | 26 | 3 | | 27 | 25 | | 28 | 3 | | 29 | 42 | | 30 | 8 | | 31 | 8 | | 32 | 16 | | 33 | 60 | | 34 | 1 | | 35 | 1 | | 36 | 29 | | 37 | 30 | | 38 | 3 | | 39 | 35 | | 40 | 3 | | 41 | 2 | | 42 | 36 | | 43 | 14 | | 44 | 2 | | 45 | 41 | | 46 | 40 | | 47 | 9 | | 48 | 5 | | 49 | 34 |
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| 96.34% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 118 | | matches | | 0 | "been poured" | | 1 | "been foisted" | | 2 | "being heard" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 185 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 178 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 748 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.026737967914438502 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0053475935828877 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 178 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 178 | | mean | 9.72 | | std | 9.57 | | cv | 0.984 | | sampleLengths | | 0 | 6 | | 1 | 12 | | 2 | 16 | | 3 | 4 | | 4 | 6 | | 5 | 29 | | 6 | 7 | | 7 | 4 | | 8 | 1 | | 9 | 7 | | 10 | 17 | | 11 | 6 | | 12 | 2 | | 13 | 1 | | 14 | 8 | | 15 | 23 | | 16 | 2 | | 17 | 18 | | 18 | 4 | | 19 | 3 | | 20 | 6 | | 21 | 9 | | 22 | 19 | | 23 | 8 | | 24 | 1 | | 25 | 2 | | 26 | 2 | | 27 | 2 | | 28 | 3 | | 29 | 3 | | 30 | 2 | | 31 | 27 | | 32 | 24 | | 33 | 42 | | 34 | 25 | | 35 | 3 | | 36 | 14 | | 37 | 1 | | 38 | 7 | | 39 | 2 | | 40 | 21 | | 41 | 7 | | 42 | 5 | | 43 | 10 | | 44 | 19 | | 45 | 4 | | 46 | 5 | | 47 | 2 | | 48 | 2 | | 49 | 14 |
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| 70.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4438202247191011 | | totalSentences | 178 | | uniqueOpeners | 79 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 96 | | matches | (empty) | | ratio | 0 | |
| 70.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 96 | | matches | | 0 | "She shouldered the door, hard," | | 1 | "His black eye held no" | | 2 | "She leaned against the doorframe" | | 3 | "His gaze dropped to the" | | 4 | "Her shift had ended twenty" | | 5 | "She stepped back." | | 6 | "His cologne entered before he" | | 7 | "He moved through the cramped" | | 8 | "She dropped it fast." | | 9 | "He rested both hands on" | | 10 | "She almost laughed" | | 11 | "She crossed her arms" | | 12 | "His lips twitched" | | 13 | "He'd always appreciated his own" | | 14 | "She poured, hands steady even" | | 15 | "She set the mug on" | | 16 | "He remembered that she remembered," | | 17 | "He lifted the mug, inhaled" | | 18 | "Her voice came out sharper" | | 19 | "She watched it hit him." |
| | ratio | 0.375 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 84 | | totalSentences | 96 | | matches | | 0 | "# Chapter Four The deadbolt" | | 1 | "She shouldered the door, hard," | | 2 | "The words died on her" | | 3 | "Lucien Moreau stood in the" | | 4 | "His black eye held no" | | 5 | "The amber one burned." | | 6 | "Nobody said her full name" | | 7 | "She leaned against the doorframe" | | 8 | "His gaze dropped to the" | | 9 | "Her shift had ended twenty" | | 10 | "Something shifted in his expression," | | 11 | "The cane tapped once against" | | 12 | "She stepped back." | | 13 | "His cologne entered before he" | | 14 | "He moved through the cramped" | | 15 | "The flat opened around them," | | 16 | "Ptolemy, Eva's tabby who had" | | 17 | "Animals always knew." | | 18 | "Lucien surveyed the room with" | | 19 | "The amber eye found her" |
| | ratio | 0.875 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 96 | | matches | (empty) | | ratio | 0 | |
| 50.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 4 | | matches | | 0 | "His cologne entered before he did, sandalwood and something older, something that stung the back of her throat and made her think of church bells and brimstone." | | 1 | "A bark of laughter escaped him, genuine and unguarded, and for a moment he looked like the man she'd met in that Marseille bookshop, the one with the strange ey…" | | 2 | "Her gaze snagged on the way his fingers moved, precise and gentle, the same hands that had mapped the architecture of her spine in a Marseille hotel room while …" | | 3 | "The sandalwood scent intensified, threaded now with something warmer, something that lived in the hollow of his throat and the curve of his palm." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 1 | | matches | | 0 | "He rested, the portrait of composure" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "he continued (continue)" | | 1 | "she repeated (repeat)" |
| | dialogueSentences | 84 | | tagDensity | 0.083 | | leniency | 0.167 | | rawRatio | 0.286 | | effectiveRatio | 0.048 | |