| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva said quickly [quickly]" |
| | dialogueSentences | 75 | | tagDensity | 0.32 | | leniency | 0.64 | | rawRatio | 0.042 | | effectiveRatio | 0.027 | |
| 81.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1354 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | adverb | "deliberately" | | count | 1 |
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| | highlights | | 0 | "very" | | 1 | "quickly" | | 2 | "deliberately" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 88.92% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1354 | | totalAiIsms | 3 | | found | | | highlights | | |
| 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 | 1 | | narrationSentences | 58 | | matches | | |
| 93.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 58 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 81 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1353 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 27 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 640 | | uniqueNames | 5 | | maxNameDensity | 3.75 | | worstName | "Eva" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Eva" | | discoveredNames | | London | 1 | | Eva | 24 | | Aurora | 17 | | Silas | 4 | | Silence | 1 |
| | persons | | | places | | | globalScore | 0 | | windowScore | 0 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | glossingSentenceCount | 3 | | matches | | 0 | "smelled like something citrus and expensiv" | | 1 | "not quite a smile" | | 2 | "quite feel" |
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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 | 1353 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 22.18 | | std | 23.02 | | cv | 1.038 | | sampleLengths | | 0 | 60 | | 1 | 78 | | 2 | 6 | | 3 | 7 | | 4 | 49 | | 5 | 4 | | 6 | 29 | | 7 | 11 | | 8 | 64 | | 9 | 2 | | 10 | 43 | | 11 | 51 | | 12 | 26 | | 13 | 42 | | 14 | 2 | | 15 | 34 | | 16 | 8 | | 17 | 85 | | 18 | 8 | | 19 | 25 | | 20 | 4 | | 21 | 2 | | 22 | 21 | | 23 | 3 | | 24 | 22 | | 25 | 41 | | 26 | 2 | | 27 | 26 | | 28 | 28 | | 29 | 21 | | 30 | 22 | | 31 | 4 | | 32 | 1 | | 33 | 2 | | 34 | 86 | | 35 | 7 | | 36 | 3 | | 37 | 20 | | 38 | 37 | | 39 | 10 | | 40 | 3 | | 41 | 3 | | 42 | 52 | | 43 | 33 | | 44 | 11 | | 45 | 9 | | 46 | 6 | | 47 | 25 | | 48 | 51 | | 49 | 1 |
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| 99.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 58 | | matches | | |
| 82.01% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 113 | | matches | | 0 | "was polishing" | | 1 | "was almost embarrassing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 109 | | ratio | 0.009 | | matches | | 0 | "The small crescent scar on Aurora's wrist caught the light; Eva's thumb found it without looking, a motion so old it was almost embarrassing." |
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| 97.08% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 600 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.043333333333333335 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.013333333333333334 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 12.41 | | std | 12.47 | | cv | 1.004 | | sampleLengths | | 0 | 20 | | 1 | 20 | | 2 | 20 | | 3 | 4 | | 4 | 32 | | 5 | 8 | | 6 | 18 | | 7 | 10 | | 8 | 2 | | 9 | 4 | | 10 | 3 | | 11 | 3 | | 12 | 5 | | 13 | 2 | | 14 | 26 | | 15 | 7 | | 16 | 16 | | 17 | 4 | | 18 | 23 | | 19 | 6 | | 20 | 5 | | 21 | 6 | | 22 | 18 | | 23 | 46 | | 24 | 2 | | 25 | 22 | | 26 | 21 | | 27 | 23 | | 28 | 28 | | 29 | 6 | | 30 | 20 | | 31 | 11 | | 32 | 31 | | 33 | 2 | | 34 | 10 | | 35 | 6 | | 36 | 2 | | 37 | 16 | | 38 | 8 | | 39 | 5 | | 40 | 80 | | 41 | 8 | | 42 | 9 | | 43 | 16 | | 44 | 4 | | 45 | 2 | | 46 | 20 | | 47 | 1 | | 48 | 3 | | 49 | 11 |
| |
| 59.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.42201834862385323 | | totalSentences | 109 | | uniqueOpeners | 46 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 49 | | matches | | 0 | "Somewhere in the back, Silas" | | 1 | "Then Eva opened her eyes" |
| | ratio | 0.041 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 7 | | totalSentences | 49 | | matches | | 0 | "She didn't look up." | | 1 | "She'd learned, in her year" | | 2 | "She smelled like something citrus" | | 3 | "Her nails were short and" | | 4 | "Her mascara didn't smudge." | | 5 | "She wiped her cheek with" | | 6 | "Her eyes closed against the" |
| | ratio | 0.143 | |
| 21.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 49 | | matches | | 0 | "The green neon bled through" | | 1 | "Aurora was halfway through her" | | 2 | "A gust of London damp," | | 3 | "She didn't look up." | | 4 | "She'd learned, in her year" | | 5 | "The bottle behind" | | 6 | "A woman, tall, wrapped in" | | 7 | "Aurora set the glass down." | | 8 | "Eva slid onto the stool" | | 9 | "She smelled like something citrus" | | 10 | "Eva lifted two fingers at" | | 11 | "Aurora arched an eyebrow" | | 12 | "Eva's mouth pulled at one" | | 13 | "Eva waited, and when Aurora" | | 14 | "Silas placed a whisky and" | | 15 | "Aurora was grateful for him," | | 16 | "Eva turned the water glass" | | 17 | "Eva lifted the water, drank," | | 18 | "Her nails were short and" | | 19 | "Aurora's hand went very still" |
| | ratio | 0.878 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 49 | | matches | (empty) | | ratio | 0 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 15 | | technicalSentenceCount | 2 | | matches | | 0 | "A gust of London damp, the smell of cigarettes, and the particular silence that arrived with someone who recognised her." | | 1 | "A woman, tall, wrapped in a camel coat that had been expensive once and still pretended to be." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva's mouth pulled, not quite a smile" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 3 | | fancyTags | | 0 | "Eva slid (slide)" | | 1 | "Eva pressed (press)" | | 2 | "Aurora agreed (agree)" |
| | dialogueSentences | 75 | | tagDensity | 0.147 | | leniency | 0.293 | | rawRatio | 0.273 | | effectiveRatio | 0.08 | |