| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 46 | | tagDensity | 0.435 | | leniency | 0.87 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1127 | | totalAiIsmAdverbs | 2 | | 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) | |
| 55.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1127 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "abyssal" | | 1 | "velvet" | | 2 | "sanctuary" | | 3 | "reminder" | | 4 | "whisper" | | 5 | "shattered" | | 6 | "weight" | | 7 | "etched" | | 8 | "aligned" | | 9 | "resonance" |
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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 | 55 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 55 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 1127 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.53% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 754 | | uniqueNames | 13 | | maxNameDensity | 1.99 | | worstName | "Lucien" | | maxWindowNameDensity | 3 | | worstWindowName | "Lucien" | | discoveredNames | | Brick | 1 | | Lane | 1 | | Moreau | 2 | | East | 1 | | London | 2 | | Lucien | 15 | | Cardiff | 2 | | University | 1 | | Welsh | 1 | | Books | 1 | | Shadows | 1 | | Aurora | 5 | | Eva | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Lucien" | | 2 | "Aurora" | | 3 | "Eva" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "East" | | 3 | "London" | | 4 | "Cardiff" |
| | globalScore | 0.505 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.887 | | wordCount | 1127 | | matches | | 0 | "Not with a key, but with the brutal, splintering force of something heavy throwi" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 26.21 | | std | 21.29 | | cv | 0.812 | | sampleLengths | | 0 | 23 | | 1 | 60 | | 2 | 11 | | 3 | 39 | | 4 | 6 | | 5 | 38 | | 6 | 2 | | 7 | 46 | | 8 | 16 | | 9 | 29 | | 10 | 71 | | 11 | 25 | | 12 | 38 | | 13 | 13 | | 14 | 27 | | 15 | 7 | | 16 | 4 | | 17 | 3 | | 18 | 55 | | 19 | 5 | | 20 | 22 | | 21 | 33 | | 22 | 19 | | 23 | 7 | | 24 | 7 | | 25 | 48 | | 26 | 6 | | 27 | 16 | | 28 | 7 | | 29 | 104 | | 30 | 22 | | 31 | 23 | | 32 | 13 | | 33 | 6 | | 34 | 71 | | 35 | 21 | | 36 | 26 | | 37 | 29 | | 38 | 22 | | 39 | 15 | | 40 | 31 | | 41 | 40 | | 42 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 55 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 125 | | matches | (empty) | |
| 73.17% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 82 | | ratio | 0.024 | | matches | | 0 | "The kiss was not a gentle reunion; it was a collision of teeth and tongue, tasting of salt and old regrets." | | 1 | "He didn't reach for his cane; his hand slid straight to his waist, where the silver hilt of his concealed blade gleamed." |
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| 96.88% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 505 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.04356435643564356 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.01782178217821782 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 13.74 | | std | 7.27 | | cv | 0.529 | | sampleLengths | | 0 | 23 | | 1 | 13 | | 2 | 25 | | 3 | 22 | | 4 | 11 | | 5 | 6 | | 6 | 21 | | 7 | 12 | | 8 | 6 | | 9 | 22 | | 10 | 16 | | 11 | 2 | | 12 | 23 | | 13 | 17 | | 14 | 6 | | 15 | 8 | | 16 | 8 | | 17 | 12 | | 18 | 17 | | 19 | 24 | | 20 | 16 | | 21 | 13 | | 22 | 18 | | 23 | 9 | | 24 | 16 | | 25 | 7 | | 26 | 31 | | 27 | 13 | | 28 | 9 | | 29 | 7 | | 30 | 11 | | 31 | 7 | | 32 | 4 | | 33 | 3 | | 34 | 9 | | 35 | 29 | | 36 | 17 | | 37 | 5 | | 38 | 22 | | 39 | 7 | | 40 | 2 | | 41 | 7 | | 42 | 17 | | 43 | 13 | | 44 | 6 | | 45 | 7 | | 46 | 7 | | 47 | 24 | | 48 | 24 | | 49 | 6 |
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| 64.23% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4146341463414634 | | totalSentences | 82 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 84.15% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 53 | | matches | | 0 | "He wore a tailored charcoal" | | 1 | "His heterochromatic eyes, one a" | | 2 | "He set a small, heavy" | | 3 | "It landed with a dull," | | 4 | "She kept her back to" | | 5 | "she said, her voice dropping" | | 6 | "he said, stopped mere inches" | | 7 | "He reached out, the leather" | | 8 | "Her spine pressed hard against" | | 9 | "she said, her voice cracking" | | 10 | "She grabbed his wrist, intending" | | 11 | "She was a scholar of" | | 12 | "she whispered, her lips brushing" | | 13 | "His hands found her waist," | | 14 | "He groaned into her mouth," | | 15 | "he stepped closer, pressing his" | | 16 | "she gasped, pulling his collar" | | 17 | "He didn't reach for his" |
| | ratio | 0.34 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 53 | | matches | | 0 | "The ivory-handled cane tapped once" | | 1 | "Lucien Moreau stood in the" | | 2 | "He wore a tailored charcoal" | | 3 | "Aurora muttered, tightening her grip" | | 4 | "His heterochromatic eyes, one a" | | 5 | "Lucien stepped past her into" | | 6 | "Lucien paused, extending a gloved" | | 7 | "The cat blinked, yawned, and" | | 8 | "Aurora hissed at the cat" | | 9 | "Lucien murmured, straightening up" | | 10 | "He set a small, heavy" | | 11 | "It landed with a dull," | | 12 | "Aurora closed the door, throwing" | | 13 | "She kept her back to" | | 14 | "Every surface, already crowded with" | | 15 | "Lucien said, turning to face" | | 16 | "A cold spike of adrenaline" | | 17 | "The crescent-shaped scar on her" | | 18 | "she said, her voice dropping" | | 19 | "Lucien took a slow step" |
| | ratio | 0.925 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 32.97% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 4 | | matches | | 0 | "He wore a tailored charcoal suit that looked entirely too clean for East London, smelling faintly of expensive clove tobacco and rain." | | 1 | "The heat radiating off him was a physical force, smelling of sulfur and wet asphalt, the distinct scent of a half-demon who had just crossed the threshold betwe…" | | 2 | "She was a scholar of the occult, a woman who had tasted the dark side of London's underworld, and she was desperately, hopelessly drawn to the monster standing …" | | 3 | "He groaned into her mouth, his hands sliding up beneath her oversized Cardiff sweatshirt, his palms scorching against her bare ribs." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 4 | | matches | | 0 | "Lucien said, turning to face her" | | 1 | "she said, her voice dropping to a hard whisper" | | 2 | "she said, her voice cracking slightly" | | 3 | "she whispered, her lips brushing the sharp angle of his jaw" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 7 | | fancyTags | | 0 | "Aurora muttered (mutter)" | | 1 | "Aurora hissed (hiss)" | | 2 | "Lucien murmured (murmur)" | | 3 | "she whispered (whisper)" | | 4 | "she gasped (gasp)" | | 5 | "Lucien murmured (murmur)" | | 6 | "Lucien whispered (whisper)" |
| | dialogueSentences | 46 | | tagDensity | 0.261 | | leniency | 0.522 | | rawRatio | 0.583 | | effectiveRatio | 0.304 | |