| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 877 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "sharply" | | 1 | "barely above a whisper" |
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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) | |
| 20.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 877 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "pounding" | | 1 | "footsteps" | | 2 | "echoed" | | 3 | "pulse" | | 4 | "weight" | | 5 | "scanning" | | 6 | "pulsed" | | 7 | "glinting" | | 8 | "silence" | | 9 | "flicked" | | 10 | "whisper" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 89 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 89 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 864 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 848 | | uniqueNames | 11 | | maxNameDensity | 1.65 | | worstName | "Herrera" | | maxWindowNameDensity | 3 | | worstWindowName | "Herrera" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 12 | | Herrera | 14 | | Raven | 1 | | Nest | 1 | | God | 1 | | Veil | 1 | | Market | 1 | | Saint | 1 | | Christopher | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Raven" | | 4 | "Market" | | 5 | "Saint" | | 6 | "Christopher" |
| | places | | | globalScore | 0.675 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | 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 | 864 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 27.87 | | std | 19.61 | | cv | 0.703 | | sampleLengths | | 0 | 67 | | 1 | 20 | | 2 | 62 | | 3 | 3 | | 4 | 67 | | 5 | 41 | | 6 | 19 | | 7 | 1 | | 8 | 54 | | 9 | 41 | | 10 | 14 | | 11 | 30 | | 12 | 54 | | 13 | 40 | | 14 | 5 | | 15 | 40 | | 16 | 11 | | 17 | 45 | | 18 | 38 | | 19 | 12 | | 20 | 40 | | 21 | 37 | | 22 | 24 | | 23 | 14 | | 24 | 6 | | 25 | 15 | | 26 | 14 | | 27 | 7 | | 28 | 28 | | 29 | 5 | | 30 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 89 | | matches | | |
| 18.59% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 147 | | matches | | 0 | "wasn’t heading" | | 1 | "was leading" | | 2 | "was standing" | | 3 | "was selling" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 93 | | ratio | 0.086 | | matches | | 0 | "The suspect—lean, quick, his dark curls plastered to his forehead—darted ahead, weaving through the late-night crowd with the ease of someone who knew these streets too well." | | 1 | "She knew this place—the Raven’s Nest wasn’t far." | | 2 | "Two flights up, she found a window—unlocked, thank God—and slipped inside." | | 3 | "She’d heard whispers of it—an underground bazaar for the things that didn’t belong in the light." | | 4 | "The scent of incense and something metallic—copper, maybe—hung heavy in the air." | | 5 | "And then she saw him—Herrera, slipping between two stalls, his Saint Christopher medallion glinting in the dim light." | | 6 | "Inside, things moved—shadows with too many limbs, creatures with eyes that gleamed in the dark." | | 7 | "A figure stepped out—tall, cloaked, their face hidden in shadow." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 861 | | adjectiveStacks | 1 | | stackExamples | | 0 | "suspect—lean, quick, his" |
| | adverbCount | 31 | | adverbRatio | 0.036004645760743324 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.006968641114982578 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 9.29 | | std | 5.83 | | cv | 0.627 | | sampleLengths | | 0 | 20 | | 1 | 20 | | 2 | 27 | | 3 | 3 | | 4 | 2 | | 5 | 2 | | 6 | 2 | | 7 | 11 | | 8 | 14 | | 9 | 9 | | 10 | 16 | | 11 | 23 | | 12 | 3 | | 13 | 14 | | 14 | 19 | | 15 | 6 | | 16 | 8 | | 17 | 7 | | 18 | 13 | | 19 | 14 | | 20 | 9 | | 21 | 11 | | 22 | 1 | | 23 | 2 | | 24 | 4 | | 25 | 7 | | 26 | 2 | | 27 | 4 | | 28 | 6 | | 29 | 1 | | 30 | 6 | | 31 | 15 | | 32 | 12 | | 33 | 10 | | 34 | 11 | | 35 | 10 | | 36 | 18 | | 37 | 2 | | 38 | 11 | | 39 | 6 | | 40 | 3 | | 41 | 1 | | 42 | 4 | | 43 | 3 | | 44 | 3 | | 45 | 16 | | 46 | 2 | | 47 | 2 | | 48 | 4 | | 49 | 21 |
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| 60.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.3763440860215054 | | totalSentences | 93 | | uniqueOpeners | 35 | |
| 43.29% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 77 | | matches | | | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 77 | | matches | | 0 | "She didn’t hesitate." | | 1 | "She knew this place—the Raven’s" | | 2 | "He was leading her deeper" | | 3 | "She pressed her ear against" | | 4 | "She jumped, her fingers gripping" | | 5 | "She moved by touch, her" | | 6 | "She pulled it free, revealing" | | 7 | "She’d heard whispers of it—an" | | 8 | "She swung her legs into" | | 9 | "Her voice was a rasp" | | 10 | "She moved after him, her" | | 11 | "She jerked away, her pulse" | | 12 | "She followed, her shoulder brushing" | | 13 | "His chest heaved, his fingers" | | 14 | "she said, her voice steady" | | 15 | "His eyes flicked to the" | | 16 | "he said, his voice barely" |
| | ratio | 0.221 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 77 | | matches | | 0 | "The pavement glistened under the" | | 1 | "Detective Harlow Quinn’s breath came" | | 2 | "The suspect—lean, quick, his dark" | | 3 | "Quinn’s jaw tightened." | | 4 | "A taxi horn blared as" | | 5 | "Quinn followed, her boots pounding" | | 6 | "The rain had picked up," | | 7 | "Herrera glanced back, his warm" | | 8 | "She didn’t hesitate." | | 9 | "The alley reeked of stale" | | 10 | "Herrera’s footsteps echoed ahead, but" | | 11 | "Quinn’s pulse hammered in her" | | 12 | "She knew this place—the Raven’s" | | 13 | "He was leading her deeper" | | 14 | "A metal door creaked open" | | 15 | "Herrera slipped inside, the door" | | 16 | "Quinn skidded to a stop," | | 17 | "She pressed her ear against" | | 18 | "The clink of glass." | | 19 | "The unmistakable hum of a" |
| | ratio | 0.857 | |
| 64.94% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 77 | | matches | | 0 | "Before he could answer, the" |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 2 | | matches | | 0 | "The pavement glistened under the flickering streetlights, each step splashing through puddles that mirrored the neon glow of Soho’s nightlife." | | 1 | "The suspect—lean, quick, his dark curls plastered to his forehead—darted ahead, weaving through the late-night crowd with the ease of someone who knew these str…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her voice steady" | | 1 | "he said, his voice barely above a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |