| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory said quietly [quietly]" |
| | dialogueSentences | 39 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0.083 | | effectiveRatio | 0.051 | |
| 83.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1243 | | 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) | |
| 43.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1243 | | totalAiIsms | 14 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "practiced ease" | | count | 1 |
| | 10 | |
| | highlights | | 0 | "silence" | | 1 | "standard" | | 2 | "gleaming" | | 3 | "intensity" | | 4 | "comfortable" | | 5 | "determined" | | 6 | "tension" | | 7 | "weight" | | 8 | "navigated" | | 9 | "practiced ease" | | 10 | "ensure" |
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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 | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 67 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1233 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 86.87% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 792 | | uniqueNames | 11 | | maxNameDensity | 1.26 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Moreau | 2 | | Eva | 2 | | Savile | 1 | | Row | 1 | | Rory | 10 | | Lucien | 8 | | Ptolemy | 3 | | Cardiff | 1 | | London | 1 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Row" | | 3 | "Rory" | | 4 | "Lucien" | | 5 | "Ptolemy" |
| | places | | 0 | "Cardiff" | | 1 | "London" | | 2 | "Brick" | | 3 | "Lane" |
| | globalScore | 0.869 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | 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 | 1233 | | matches | (empty) | |
| 95.74% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 94 | | matches | | 0 | "chose that moment" | | 1 | "use that voice" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 25.69 | | std | 20.75 | | cv | 0.808 | | sampleLengths | | 0 | 37 | | 1 | 14 | | 2 | 47 | | 3 | 5 | | 4 | 34 | | 5 | 41 | | 6 | 3 | | 7 | 22 | | 8 | 34 | | 9 | 4 | | 10 | 1 | | 11 | 25 | | 12 | 45 | | 13 | 4 | | 14 | 4 | | 15 | 43 | | 16 | 12 | | 17 | 32 | | 18 | 11 | | 19 | 7 | | 20 | 39 | | 21 | 35 | | 22 | 69 | | 23 | 49 | | 24 | 5 | | 25 | 12 | | 26 | 84 | | 27 | 16 | | 28 | 7 | | 29 | 62 | | 30 | 12 | | 31 | 6 | | 32 | 7 | | 33 | 48 | | 34 | 22 | | 35 | 10 | | 36 | 69 | | 37 | 18 | | 38 | 50 | | 39 | 46 | | 40 | 34 | | 41 | 9 | | 42 | 1 | | 43 | 23 | | 44 | 1 | | 45 | 25 | | 46 | 9 | | 47 | 40 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 136 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 94 | | ratio | 0.053 | | matches | | 0 | "He wore his standard uniform—charcoal suit, probably Savile Row, probably worth more than her monthly rent." | | 1 | "His heterochromatic eyes—amber on the left, black as a void on the right—fixed on hers with the intensity of someone who'd crossed half the city to have this conversation." | | 2 | "\"That's very poetic. Also not an answer to why you're standing outside Eva's flat at—\" she glanced at her watch, a cheap digital thing that caught on her cardigan sleeve, \"—half ten at night.\"" | | 3 | "He was also—" | | 4 | "Eva's flat was a disaster by most standards—books stacked on every available surface, scrolls scattered across the kitchen table, research notes pinned to the walls with such density they could double as insulation." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 553 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.0379746835443038 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.0162748643761302 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 13.12 | | std | 9.48 | | cv | 0.723 | | sampleLengths | | 0 | 11 | | 1 | 15 | | 2 | 11 | | 3 | 14 | | 4 | 22 | | 5 | 16 | | 6 | 9 | | 7 | 5 | | 8 | 13 | | 9 | 21 | | 10 | 12 | | 11 | 29 | | 12 | 3 | | 13 | 3 | | 14 | 4 | | 15 | 2 | | 16 | 13 | | 17 | 34 | | 18 | 4 | | 19 | 1 | | 20 | 18 | | 21 | 7 | | 22 | 20 | | 23 | 3 | | 24 | 4 | | 25 | 18 | | 26 | 4 | | 27 | 4 | | 28 | 7 | | 29 | 16 | | 30 | 6 | | 31 | 5 | | 32 | 9 | | 33 | 3 | | 34 | 9 | | 35 | 14 | | 36 | 18 | | 37 | 11 | | 38 | 7 | | 39 | 9 | | 40 | 20 | | 41 | 9 | | 42 | 1 | | 43 | 15 | | 44 | 11 | | 45 | 9 | | 46 | 30 | | 47 | 11 | | 48 | 11 | | 49 | 17 |
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| 58.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3829787234042553 | | totalSentences | 94 | | uniqueOpeners | 36 | |
| 52.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 63 | | matches | | 0 | "Instead, he just sat there," |
| | ratio | 0.016 | |
| 35.87% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 63 | | matches | | 0 | "She set the kettle down" | | 1 | "He wore his standard uniform—charcoal" | | 2 | "His cane rested against his" | | 3 | "She opened the door just" | | 4 | "His heterochromatic eyes—amber on the" | | 5 | "she glanced at her watch," | | 6 | "He tilted his head, studying" | | 7 | "She had forgotten." | | 8 | "She wore it often enough" | | 9 | "She made a point of" | | 10 | "She scooped up the tabby," | | 11 | "She'd heard him use that" | | 12 | "It meant he'd moved past" | | 13 | "He'd shown her once how" | | 14 | "His suit was impeccable as" | | 15 | "She almost said no." | | 16 | "He was supernatural, dangerous in" | | 17 | "He was also—" | | 18 | "He was also the first" | | 19 | "She stepped back, pulling the" |
| | ratio | 0.46 | |
| 23.49% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 63 | | matches | | 0 | "Rory's hand froze on the" | | 1 | "She set the kettle down" | | 2 | "Lucien Moreau stood in the" | | 3 | "He wore his standard uniform—charcoal" | | 4 | "His cane rested against his" | | 5 | "The air left her lungs." | | 6 | "Rory undid the first deadbolt," | | 7 | "The third one stuck as" | | 8 | "She opened the door just" | | 9 | "His heterochromatic eyes—amber on the" | | 10 | "Lucien's mouth curved." | | 11 | "she glanced at her watch," | | 12 | "He tilted his head, studying" | | 13 | "Rory looked down at the" | | 14 | "She had forgotten." | | 15 | "That was the problem." | | 16 | "She wore it often enough" | | 17 | "The words came out brittle" | | 18 | "She made a point of" | | 19 | "Lucien's jaw tightened." |
| | ratio | 0.873 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 6 | | matches | | 0 | "His heterochromatic eyes—amber on the left, black as a void on the right—fixed on hers with the intensity of someone who'd crossed half the city to have this co…" | | 1 | "He tilted his head, studying her with the patience of someone accustomed to getting what he wanted eventually." | | 2 | "Rory looked down at the forest-green wool wrapped around her shoulders, as if she'd somehow forgotten what she had on." | | 3 | "She'd heard him use that voice before, the one he deployed when negotiating with people who'd made very bad decisions." | | 4 | "Getting involved with Lucien Moreau had been the reckless decision of someone trying to outrun their past, trying to prove they could be brave or wild or someth…" | | 5 | "He was also the first person in years who'd made her feel like someone worth knowing." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "Rory continued (continue)" |
| | dialogueSentences | 39 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 0.333 | | effectiveRatio | 0.051 | |