| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 34 | | tagDensity | 0.147 | | leniency | 0.294 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1645 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 78.72% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1645 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "weight" | | 1 | "lilt" | | 2 | "magnetic" | | 3 | "electric" | | 4 | "pulse" | | 5 | "flicked" |
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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 | 81 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 81 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 110 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1637 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 89.17% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 822 | | uniqueNames | 11 | | maxNameDensity | 1.22 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Brick | 2 | | Lane | 2 | | Carter | 1 | | Moreau | 1 | | Marseille | 1 | | Eva | 2 | | Ptolemy | 3 | | Latin | 1 | | Steam | 1 | | Aurora | 10 | | Lucien | 8 |
| | persons | | 0 | "Carter" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Ptolemy" | | 4 | "Latin" | | 5 | "Steam" | | 6 | "Aurora" | | 7 | "Lucien" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Marseille" |
| | globalScore | 0.892 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 1 | | matches | | 0 | "not quite a smile, something sharper and warmer" |
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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 | 1637 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 110 | | matches | | 0 | "carried that Marseille" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 28.22 | | std | 15.3 | | cv | 0.542 | | sampleLengths | | 0 | 61 | | 1 | 37 | | 2 | 1 | | 3 | 32 | | 4 | 47 | | 5 | 21 | | 6 | 14 | | 7 | 15 | | 8 | 22 | | 9 | 38 | | 10 | 13 | | 11 | 51 | | 12 | 31 | | 13 | 33 | | 14 | 11 | | 15 | 45 | | 16 | 29 | | 17 | 51 | | 18 | 19 | | 19 | 19 | | 20 | 21 | | 21 | 46 | | 22 | 13 | | 23 | 17 | | 24 | 20 | | 25 | 44 | | 26 | 29 | | 27 | 23 | | 28 | 15 | | 29 | 55 | | 30 | 15 | | 31 | 27 | | 32 | 42 | | 33 | 12 | | 34 | 3 | | 35 | 37 | | 36 | 18 | | 37 | 14 | | 38 | 21 | | 39 | 50 | | 40 | 23 | | 41 | 40 | | 42 | 15 | | 43 | 28 | | 44 | 28 | | 45 | 13 | | 46 | 40 | | 47 | 36 | | 48 | 21 | | 49 | 40 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 140 | | matches | | |
| 12.99% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 110 | | ratio | 0.045 | | matches | | 0 | "The three deadbolts glinted above her head; she had only thrown one." | | 1 | "Books and scrolls covered every surface—Eva’s endless stacks of research notes, half-drunk mugs of tea, the tabby cat Ptolemy curled atop a pile of Latin texts by the window." | | 2 | "Heterochromatic eyes—one amber, one black—tracked her as she retreated toward the kitchenette." | | 3 | "The contact sparked the old current—electric, unfinished." | | 4 | "His reflection joined hers in the glass—platinum against black, amber and dark watching her blue eyes hover over the street." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 831 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.031287605294825514 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006016847172081829 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 110 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 110 | | mean | 14.88 | | std | 11.27 | | cv | 0.757 | | sampleLengths | | 0 | 21 | | 1 | 19 | | 2 | 21 | | 3 | 22 | | 4 | 15 | | 5 | 1 | | 6 | 11 | | 7 | 9 | | 8 | 12 | | 9 | 5 | | 10 | 29 | | 11 | 13 | | 12 | 10 | | 13 | 11 | | 14 | 14 | | 15 | 4 | | 16 | 11 | | 17 | 22 | | 18 | 16 | | 19 | 10 | | 20 | 12 | | 21 | 13 | | 22 | 19 | | 23 | 32 | | 24 | 4 | | 25 | 8 | | 26 | 19 | | 27 | 33 | | 28 | 7 | | 29 | 4 | | 30 | 45 | | 31 | 5 | | 32 | 3 | | 33 | 12 | | 34 | 9 | | 35 | 51 | | 36 | 4 | | 37 | 9 | | 38 | 6 | | 39 | 19 | | 40 | 6 | | 41 | 8 | | 42 | 7 | | 43 | 9 | | 44 | 37 | | 45 | 13 | | 46 | 17 | | 47 | 5 | | 48 | 15 | | 49 | 44 |
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| 53.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.32727272727272727 | | totalSentences | 110 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 22.53% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 79 | | matches | | 0 | "Her shoulder-length black hair fell" | | 1 | "He shifted his weight onto" | | 2 | "His voice carried that Marseille" | | 3 | "He stepped forward before she" | | 4 | "She backed into the flat." | | 5 | "He set the cane against" | | 6 | "Her small crescent scar caught" | | 7 | "He shrugged out of his" | | 8 | "She yanked open a cupboard," | | 9 | "He picked up a scroll," | | 10 | "She spun, hair whipping across" | | 11 | "He closed the remaining space" | | 12 | "She poured water into the" | | 13 | "She shoved a mug toward" | | 14 | "He took it without looking," | | 15 | "His voice dropped" | | 16 | "She set her mug down" | | 17 | "He exhaled, the sound heavy." | | 18 | "His free hand lifted, hesitated" | | 19 | "She stepped sideways, putting the" |
| | ratio | 0.494 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 79 | | matches | | 0 | "The door swung inward on" | | 1 | "Aurora Carter stood there, barefoot" | | 2 | "Her shoulder-length black hair fell" | | 3 | "Lucien Moreau filled the narrow" | | 4 | "He shifted his weight onto" | | 5 | "His voice carried that Marseille" | | 6 | "He stepped forward before she" | | 7 | "The three deadbolts glinted above" | | 8 | "She backed into the flat." | | 9 | "Books and scrolls covered every" | | 10 | "The air smelled of spice" | | 11 | "Lucien closed the door behind" | | 12 | "He set the cane against" | | 13 | "Aurora crossed her arms." | | 14 | "Her small crescent scar caught" | | 15 | "He shrugged out of his" | | 16 | "The motion pulled his tailored" | | 17 | "She yanked open a cupboard," | | 18 | "Steam began to rise." | | 19 | "Lucien moved closer, boots silent" |
| | ratio | 0.962 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 2 | | matches | | 0 | "Lucien Moreau filled the narrow space outside, his charcoal suit immaculate despite the evening drizzle that clung to his platinum blond hair." | | 1 | "Outside, Brick Lane carried on, unaware that two people who had broken each other open once were finally choosing the same room." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |