| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 3 | | adverbTags | | 0 | "Lucien's voice softened fractionally [fractionally]" | | 1 | "Lucien's lips curved slightly [slightly]" | | 2 | "Aurora said quietly [quietly]" |
| | dialogueSentences | 60 | | tagDensity | 0.317 | | leniency | 0.633 | | rawRatio | 0.158 | | effectiveRatio | 0.1 | |
| 84.72% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1309 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "perfectly" | | 1 | "precisely" | | 2 | "carefully" | | 3 | "slightly" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 61.80% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1309 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "familiar" | | 1 | "charm" | | 2 | "flickered" | | 3 | "facade" | | 4 | "raced" | | 5 | "tracing" | | 6 | "perfect" | | 7 | "eyebrow" | | 8 | "intensity" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "hung in the air" | | count | 2 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 77 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 77 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1297 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 1 | | matches | | 0 | "A childhood accident, she told everyone." |
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| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 45 | | wordCount | 755 | | uniqueNames | 11 | | maxNameDensity | 2.25 | | worstName | "Lucien" | | maxWindowNameDensity | 4 | | worstWindowName | "Aurora" | | discoveredNames | | Golden | 1 | | Empress | 1 | | Eva | 1 | | Aurora | 16 | | French | 2 | | Moreau | 2 | | Lucien | 17 | | Prague | 1 | | Heat | 1 | | Ptolemy | 1 | | London | 2 |
| | persons | | 0 | "Eva" | | 1 | "Aurora" | | 2 | "Moreau" | | 3 | "Lucien" | | 4 | "Heat" | | 5 | "Ptolemy" |
| | places | | 0 | "Golden" | | 1 | "Prague" | | 2 | "London" |
| | globalScore | 0.374 | | windowScore | 0.333 | |
| 16.07% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 3 | | matches | | 0 | "quite read" | | 1 | "spicion before apparently deciding the half-d" | | 2 | "Something like approval flickered in Lucien'" |
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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 | 1297 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 115 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 62 | | mean | 20.92 | | std | 12.32 | | cv | 0.589 | | sampleLengths | | 0 | 45 | | 1 | 17 | | 2 | 14 | | 3 | 21 | | 4 | 41 | | 5 | 20 | | 6 | 20 | | 7 | 34 | | 8 | 2 | | 9 | 28 | | 10 | 26 | | 11 | 30 | | 12 | 27 | | 13 | 11 | | 14 | 8 | | 15 | 26 | | 16 | 21 | | 17 | 4 | | 18 | 39 | | 19 | 6 | | 20 | 5 | | 21 | 50 | | 22 | 7 | | 23 | 27 | | 24 | 12 | | 25 | 12 | | 26 | 9 | | 27 | 18 | | 28 | 16 | | 29 | 23 | | 30 | 15 | | 31 | 29 | | 32 | 30 | | 33 | 7 | | 34 | 32 | | 35 | 14 | | 36 | 36 | | 37 | 15 | | 38 | 4 | | 39 | 8 | | 40 | 29 | | 41 | 15 | | 42 | 22 | | 43 | 13 | | 44 | 28 | | 45 | 47 | | 46 | 23 | | 47 | 28 | | 48 | 12 | | 49 | 24 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 77 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 125 | | matches | (empty) | |
| 18.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 115 | | ratio | 0.043 | | matches | | 0 | "The flat smelled of sandalwood incense and old books—Eva's perpetual signature—but her flatmate wouldn't be back for hours." | | 1 | "That voice—smooth as aged whiskey with its slight French accent, familiar and impossible all at once." | | 2 | "The name—her cover name when they'd worked together—hit like a physical blow." | | 3 | "Something flickered across his face—a momentary crack in his perfectly composed facade." | | 4 | "Aurora studied him—the perfect posture, the carefully neutral expression." |
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| 95.07% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 767 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.04563233376792699 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.018252933507170794 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 11.28 | | std | 6.75 | | cv | 0.599 | | sampleLengths | | 0 | 23 | | 1 | 18 | | 2 | 3 | | 3 | 1 | | 4 | 17 | | 5 | 14 | | 6 | 5 | | 7 | 16 | | 8 | 4 | | 9 | 27 | | 10 | 10 | | 11 | 7 | | 12 | 13 | | 13 | 20 | | 14 | 7 | | 15 | 15 | | 16 | 12 | | 17 | 2 | | 18 | 21 | | 19 | 7 | | 20 | 12 | | 21 | 8 | | 22 | 6 | | 23 | 25 | | 24 | 5 | | 25 | 20 | | 26 | 7 | | 27 | 5 | | 28 | 6 | | 29 | 8 | | 30 | 10 | | 31 | 16 | | 32 | 12 | | 33 | 9 | | 34 | 4 | | 35 | 15 | | 36 | 24 | | 37 | 6 | | 38 | 5 | | 39 | 11 | | 40 | 20 | | 41 | 19 | | 42 | 7 | | 43 | 15 | | 44 | 12 | | 45 | 5 | | 46 | 7 | | 47 | 6 | | 48 | 6 | | 49 | 9 |
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| 59.13% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.391304347826087 | | totalSentences | 115 | | uniqueOpeners | 45 | |
| 92.59% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 72 | | matches | | 0 | "Once, she might have been" | | 1 | "Finally, he closed the last" |
| | ratio | 0.028 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 72 | | matches | | 0 | "His ivory-handled cane rested against" | | 1 | "Her voice came out steadier" | | 2 | "His mouth curved into the" | | 3 | "She hadn't heard it in" | | 4 | "He tapped long fingers against" | | 5 | "He jumped onto the sofa" | | 6 | "They always had." | | 7 | "They both knew the answer." | | 8 | "He took a step toward" | | 9 | "She stopped, unwilling to name" | | 10 | "she asked, hating the slight" | | 11 | "Her fingers touched the scar" | | 12 | "His voice had dropped lower," | | 13 | "His fingers brushed hers, feather-light" |
| | ratio | 0.194 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 72 | | matches | | 0 | "Aurora's fingers fumbled with the" | | 1 | "The flat smelled of sandalwood" | | 2 | "A night off." | | 3 | "The lock clicked open, and" | | 4 | "The voice froze her mid-step." | | 5 | "That voice—smooth as aged whiskey" | | 6 | "Aurora's head snapped up." | | 7 | "Lucien Moreau sat on her" | | 8 | "His ivory-handled cane rested against" | | 9 | "The paper bag slipped from" | | 10 | "Cartons of chow mein and" | | 11 | "Her voice came out steadier" | | 12 | "Lucien uncrossed his legs and" | | 13 | "The charcoal suit he wore" | | 14 | "His mouth curved into the" | | 15 | "The name—her cover name when" | | 16 | "She hadn't heard it in" | | 17 | "Aurora bent to retrieve the" | | 18 | "Lucien's voice carried a note" | | 19 | "Heat crept up Aurora's neck." |
| | ratio | 0.889 | |
| 69.44% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 72 | | matches | | 0 | "Before she'd seen what Lucien" |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 1 | | matches | | 0 | "Lucien was silent for a long moment, studying her with an intensity that made her skin heat." |
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| 98.68% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 1 | | matches | | 0 | "The admission seemed, his knuckles whitening around the cane's handle" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "Lucien observed (observe)" |
| | dialogueSentences | 60 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 0.25 | | effectiveRatio | 0.033 | |