| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.083 | | leniency | 0.167 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 872 | | 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) | |
| 8.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 872 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "wavering" | | 1 | "footsteps" | | 2 | "echoed" | | 3 | "silence" | | 4 | "scanning" | | 5 | "flicker" | | 6 | "weight" | | 7 | "shimmered" | | 8 | "could feel" | | 9 | "pulse" | | 10 | "unreadable" | | 11 | "charged" | | 12 | "etched" | | 13 | "flickered" |
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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 | 1 | | narrationSentences | 87 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 87 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 859 | | ratio | 0.003 | | matches | | 0 | "to" | | 1 | "persuasion" | | 2 | "Now." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 80.03% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 786 | | uniqueNames | 10 | | maxNameDensity | 1.4 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | London | 1 | | Quinn | 11 | | Soho | 1 | | Herrera | 11 | | Saint | 2 | | Christopher | 2 | | Veil | 1 | | Market | 1 | | Tube | 1 | | Morris | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Herrera" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Market" | | 5 | "Morris" |
| | places | | | globalScore | 0.8 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like human teeth, strung on leathe" |
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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 | 859 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 97 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 24.54 | | std | 17.49 | | cv | 0.713 | | sampleLengths | | 0 | 51 | | 1 | 1 | | 2 | 39 | | 3 | 47 | | 4 | 1 | | 5 | 43 | | 6 | 42 | | 7 | 3 | | 8 | 47 | | 9 | 17 | | 10 | 15 | | 11 | 45 | | 12 | 71 | | 13 | 19 | | 14 | 33 | | 15 | 39 | | 16 | 18 | | 17 | 26 | | 18 | 2 | | 19 | 41 | | 20 | 29 | | 21 | 3 | | 22 | 36 | | 23 | 7 | | 24 | 9 | | 25 | 35 | | 26 | 14 | | 27 | 15 | | 28 | 23 | | 29 | 12 | | 30 | 32 | | 31 | 10 | | 32 | 5 | | 33 | 25 | | 34 | 4 |
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| 93.16% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 87 | | matches | | 0 | "got made" | | 1 | "were lined" | | 2 | "was etched" |
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| 94.18% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 126 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 97 | | ratio | 0.093 | | matches | | 0 | "Tomás Herrera—his dark curls plastered to his forehead, the Saint Christopher medallion bouncing against his chest." | | 1 | "Then—silence." | | 2 | "A flicker of movement near the ground—a grate, slightly ajar." | | 3 | "The stench of damp earth and something sharper—ozone, maybe—hit her nose." | | 4 | "If he’d gone down there, he wasn’t running from the law—he was running *to* something." | | 5 | "Vendors hawked wares from shadowed alcoves—vials of swirling liquid, bundles of dried roots, knives with blades that shimmered like oil on water." | | 6 | "She’d seen things before—things that didn’t make sense." | | 7 | "The air here was different—thicker, charged." | | 8 | "A sound echoed from the tunnel behind her—a wet, clicking noise, like something dragging itself across stone." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 799 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.02002503128911139 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0025031289111389237 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 8.86 | | std | 5.81 | | cv | 0.656 | | sampleLengths | | 0 | 15 | | 1 | 18 | | 2 | 18 | | 3 | 1 | | 4 | 12 | | 5 | 16 | | 6 | 11 | | 7 | 3 | | 8 | 21 | | 9 | 16 | | 10 | 7 | | 11 | 1 | | 12 | 10 | | 13 | 14 | | 14 | 4 | | 15 | 5 | | 16 | 10 | | 17 | 8 | | 18 | 13 | | 19 | 11 | | 20 | 10 | | 21 | 3 | | 22 | 3 | | 23 | 4 | | 24 | 20 | | 25 | 5 | | 26 | 15 | | 27 | 6 | | 28 | 11 | | 29 | 10 | | 30 | 2 | | 31 | 3 | | 32 | 14 | | 33 | 15 | | 34 | 16 | | 35 | 15 | | 36 | 22 | | 37 | 10 | | 38 | 1 | | 39 | 23 | | 40 | 11 | | 41 | 4 | | 42 | 4 | | 43 | 15 | | 44 | 10 | | 45 | 8 | | 46 | 8 | | 47 | 15 | | 48 | 16 | | 49 | 4 |
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| 53.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.35051546391752575 | | totalSentences | 97 | | uniqueOpeners | 34 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 79 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 79 | | matches | | 0 | "He glanced back, eyes wide," | | 1 | "She broke into a sprint," | | 2 | "She spun, scanning the shadows." | | 3 | "She crouched, fingers curling around" | | 4 | "She knew the rumors." | | 5 | "Her radio crackled at her" | | 6 | "She silenced it with a" | | 7 | "Her boots hit packed earth," | | 8 | "She could feel it." | | 9 | "She ignored him, pushing deeper" | | 10 | "She’d seen things before—things that" | | 11 | "She stepped through." | | 12 | "He turned slowly, the medallion" | | 13 | "It wasn’t just a Saint" | | 14 | "She took a step forward" | | 15 | "She’d heard that sound before." | | 16 | "She could turn back." |
| | ratio | 0.215 | |
| 35.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 79 | | matches | | 0 | "The rain came down in" | | 1 | "Harlow Quinn’s boots splashed through" | | 2 | "The neon glow of Soho’s" | | 3 | "A figure darted ahead, weaving" | | 4 | "Tomás Herrera—his dark curls plastered" | | 5 | "He glanced back, eyes wide," | | 6 | "Quinn didn’t hesitate." | | 7 | "She broke into a sprint," | | 8 | "The alley reeked of damp" | | 9 | "Herrera’s footsteps echoed ahead, quick" | | 10 | "Quinn skidded to a stop," | | 11 | "The alley dead-ended at a" | | 12 | "She spun, scanning the shadows." | | 13 | "A flicker of movement near" | | 14 | "She crouched, fingers curling around" | | 15 | "The hinges groaned as she" | | 16 | "The stench of damp earth" | | 17 | "The Veil Market." | | 18 | "Quinn’s jaw tightened." | | 19 | "She knew the rumors." |
| | ratio | 0.848 | |
| 63.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 79 | | matches | | 0 | "If he’d gone down there," |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 2 | | matches | | 0 | "Knew the kinds of things that moved in the dark, the kinds of deals that got made beneath the city." | | 1 | "Vendors hawked wares from shadowed alcoves—vials of swirling liquid, bundles of dried roots, knives with blades that shimmered like oil on water." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |