| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 31 | | adverbTagCount | 3 | | adverbTags | | 0 | "He stopped just [just]" | | 1 | "she said quietly [quietly]" | | 2 | "she asked again [again]" |
| | dialogueSentences | 54 | | tagDensity | 0.574 | | leniency | 1 | | rawRatio | 0.097 | | effectiveRatio | 0.097 | |
| 90.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1526 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "really" | | 1 | "slightly" | | 2 | "very" |
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| 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) | |
| 41.02% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1526 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "cascading" | | 1 | "shattered" | | 2 | "pulse" | | 3 | "familiar" | | 4 | "silk" | | 5 | "silence" | | 6 | "scanning" | | 7 | "anticipation" | | 8 | "pulsed" | | 9 | "predator" | | 10 | "tracing" | | 11 | "warmth" | | 12 | "flicker" | | 13 | "trembled" |
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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 | 2 | | narrationSentences | 161 | | matches | | 0 | "d in anticipation" | | 1 | "d with horror" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 161 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 182 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 16 | | markdownWords | 41 | | totalWords | 1514 | | ratio | 0.027 | | matches | | 0 | "Not Evan." | | 1 | "He smells like poison now." | | 2 | "Not his doing." | | 3 | "If." | | 4 | "There it was." | | 5 | "hovering." | | 6 | "Only those who pretended to love her." | | 7 | "Evan." | | 8 | "choose" | | 9 | "Again." | | 10 | "years." | | 11 | "tink, tink, tink" | | 12 | "that" | | 13 | "Lucien Moreau didn’t do vulnerable." | | 14 | "Police. Open up." | | 15 | "boom boom boom" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 25 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 1220 | | uniqueNames | 12 | | maxNameDensity | 0.66 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 5 | | Aurora | 5 | | Lucien | 8 | | London | 2 | | Earl | 1 | | Grey | 1 | | Close | 1 | | Parisian | 1 | | Sotheby | 1 | | Like | 1 | | Moreau | 1 | | Should | 3 |
| | persons | | 0 | "Eva" | | 1 | "Aurora" | | 2 | "Lucien" | | 3 | "Earl" | | 4 | "Grey" | | 5 | "Like" | | 6 | "Moreau" | | 7 | "Should" |
| | places | | 0 | "London" | | 1 | "Parisian" | | 2 | "Sotheby" |
| | globalScore | 1 | | windowScore | 1 | |
| 60.71% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 3 | | matches | | 0 | "smelled like nights in Parisian alleys, li" | | 1 | "felt like kissing fire" | | 2 | "tasted like secrets she’d never wanted to" |
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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 | 1514 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 182 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 80 | | mean | 18.93 | | std | 14.92 | | cv | 0.788 | | sampleLengths | | 0 | 7 | | 1 | 62 | | 2 | 21 | | 3 | 40 | | 4 | 35 | | 5 | 45 | | 6 | 16 | | 7 | 51 | | 8 | 22 | | 9 | 31 | | 10 | 13 | | 11 | 4 | | 12 | 19 | | 13 | 44 | | 14 | 32 | | 15 | 21 | | 16 | 15 | | 17 | 5 | | 18 | 26 | | 19 | 5 | | 20 | 37 | | 21 | 63 | | 22 | 12 | | 23 | 4 | | 24 | 33 | | 25 | 4 | | 26 | 25 | | 27 | 26 | | 28 | 3 | | 29 | 44 | | 30 | 8 | | 31 | 10 | | 32 | 4 | | 33 | 8 | | 34 | 28 | | 35 | 5 | | 36 | 20 | | 37 | 11 | | 38 | 17 | | 39 | 5 | | 40 | 10 | | 41 | 10 | | 42 | 28 | | 43 | 6 | | 44 | 63 | | 45 | 6 | | 46 | 11 | | 47 | 13 | | 48 | 11 | | 49 | 20 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 161 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 217 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 182 | | ratio | 0.055 | | matches | | 0 | "Not splintered—burst." | | 1 | "She lunged from the sofa, glass shattered at her feet—some half-drunk gin, mostly water by now." | | 2 | "The other thumped the ivory handle of his cane against the frame once, twice—the sound sharp as a judge’s gavel." | | 3 | "His heterochromatic gaze—one amber, one black as voided ink—locked onto hers." | | 4 | "The flat itself seemed to hold its breath—walls lined with yellowed maps, jars of herbs, and reams of typewritten pages held down by kitchen knives and scissors." | | 5 | "A china teacup rattled—half-full, Earl Grey gone cold." | | 6 | "He smelled like nights in Parisian alleys, like spilled absinthe and leather bindings—ink and gunpowder." | | 7 | "The flat tilted slightly beneath her—London breathing through its old bones." | | 8 | "The blade skittered across the laminate—*tink, tink, tink*—like a countdown." | | 9 | "Could only stare as the brass knocker on Eva’s door pounded—*boom boom boom*—like a summons from hell." |
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| 95.94% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1232 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 55 | | adverbRatio | 0.044642857142857144 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.008928571428571428 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 182 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 182 | | mean | 8.32 | | std | 6.84 | | cv | 0.822 | | sampleLengths | | 0 | 7 | | 1 | 2 | | 2 | 11 | | 3 | 35 | | 4 | 14 | | 5 | 16 | | 6 | 3 | | 7 | 2 | | 8 | 20 | | 9 | 20 | | 10 | 35 | | 11 | 11 | | 12 | 3 | | 13 | 12 | | 14 | 11 | | 15 | 8 | | 16 | 11 | | 17 | 5 | | 18 | 35 | | 19 | 16 | | 20 | 11 | | 21 | 5 | | 22 | 6 | | 23 | 14 | | 24 | 12 | | 25 | 2 | | 26 | 3 | | 27 | 13 | | 28 | 4 | | 29 | 10 | | 30 | 2 | | 31 | 2 | | 32 | 5 | | 33 | 8 | | 34 | 27 | | 35 | 2 | | 36 | 2 | | 37 | 5 | | 38 | 5 | | 39 | 9 | | 40 | 7 | | 41 | 3 | | 42 | 8 | | 43 | 13 | | 44 | 8 | | 45 | 9 | | 46 | 6 | | 47 | 5 | | 48 | 14 | | 49 | 11 |
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| 54.58% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.3901098901098901 | | totalSentences | 182 | | uniqueOpeners | 71 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 122 | | matches | | 0 | "Always disaster in the making." | | 1 | "So hungry for the kind" | | 2 | "Just for a heartbeat." | | 3 | "Only Eva called her that" | | 4 | "*Only those who pretended to" |
| | ratio | 0.041 | |
| 52.79% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 122 | | matches | | 0 | "She lunged from the sofa," | | 1 | "Her breath hitched." | | 2 | "He stood in the doorway" | | 3 | "His voice rolled over the" | | 4 | "*He smells like poison now.*" | | 5 | "His heterochromatic gaze—one amber, one" | | 6 | "he said, eyes flicking to" | | 7 | "She curled her fingers into" | | 8 | "His cane tapped once against" | | 9 | "She backed up until her" | | 10 | "he observed, scanning the room" | | 11 | "His cane swivelled, tip clicking" | | 12 | "Her molars locked." | | 13 | "He stopped just out of" | | 14 | "He smelled like nights in" | | 15 | "She remembered the scent of" | | 16 | "She’d been twenty-three." | | 17 | "His gaze dropped to her" | | 18 | "He adjusted the ivory grip" | | 19 | "He leaned the cane against" |
| | ratio | 0.418 | |
| 58.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 122 | | matches | | 0 | "The door splintered under the" | | 1 | "Aurora didn’t even have time" | | 2 | "Ptolemy yowled, tail puffing like" | | 3 | "She lunged from the sofa," | | 4 | "Her breath hitched." | | 5 | "He stood in the doorway" | | 6 | "The other thumped the ivory" | | 7 | "His voice rolled over the" | | 8 | "Aurora’s pulse hammered in her" | | 9 | "The scent of coconut and" | | 10 | "*He smells like poison now.*" | | 11 | "The kind that lingers in" | | 12 | "Ptolemy streaked past her ankles," | | 13 | "The cat had good instincts." | | 14 | "Bricks from the curry house" | | 15 | "His heterochromatic gaze—one amber, one" | | 16 | "The amber one dilated, hungry." | | 17 | "The black one stayed flat," | | 18 | "he said, eyes flicking to" | | 19 | "A thin line of scarlet" |
| | ratio | 0.803 | |
| 40.98% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 122 | | matches | | 0 | "*If.* That word sat heavily" |
| | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 1 | | matches | | 0 | "She wrenched her hand free, rubbing her wrist as if his touch had branded her." |
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| 44.35% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 31 | | uselessAdditionCount | 5 | | matches | | 0 | "he said, eyes flicking to her wrist where her sleeve had torn" | | 1 | "He adjusted, thumb pressing the hidden release" | | 2 | "she asked again, defiance cracking" | | 3 | "he countered, teeth grazing her jaw" | | 4 | "His breath came, voice savaged" |
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| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 18 | | fancyCount | 6 | | fancyTags | | 0 | "he observed (observe)" | | 1 | "Lucien murmured (murmur)" | | 2 | "he whispered (whisper)" | | 3 | "he gasped (gasp)" | | 4 | "she hissed (hiss)" | | 5 | "he murmured (murmur)" |
| | dialogueSentences | 54 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.333 | | effectiveRatio | 0.222 | |