| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1540 | | totalAiIsmAdverbs | 3 | | 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) | |
| 41.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1540 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "maw" | | 1 | "glint" | | 2 | "flickered" | | 3 | "familiar" | | 4 | "could feel" | | 5 | "whisper" | | 6 | "pulse" | | 7 | "glinting" | | 8 | "stomach" | | 9 | "silence" | | 10 | "echoed" | | 11 | "rhythmic" | | 12 | "vibrated" | | 13 | "velvet" | | 14 | "gloom" |
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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 | 157 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 157 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 171 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 9 | | markdownWords | 9 | | totalWords | 1527 | | ratio | 0.006 | | matches | | 0 | "detective" | | 1 | "drip-drip-drip" | | 2 | "click" | | 3 | "wrong" | | 4 | "words" | | 5 | "thump-thump-thump" | | 6 | "Tomás" | | 7 | "you" | | 8 | "did" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1407 | | uniqueNames | 11 | | maxNameDensity | 0.71 | | worstName | "Quinn" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 10 | | Neal | 1 | | Street | 1 | | Raven | 2 | | Nest | 2 | | Veil | 1 | | Market | 1 | | Herrera | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 2 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Herrera" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Tomás" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 93 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like human hair" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.655 | | wordCount | 1527 | | matches | | 0 | "Not from the alley’s mouth, but from above" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 171 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 31.16 | | std | 23.24 | | cv | 0.746 | | sampleLengths | | 0 | 1 | | 1 | 85 | | 2 | 65 | | 3 | 55 | | 4 | 74 | | 5 | 70 | | 6 | 14 | | 7 | 39 | | 8 | 38 | | 9 | 3 | | 10 | 22 | | 11 | 54 | | 12 | 19 | | 13 | 52 | | 14 | 31 | | 15 | 62 | | 16 | 7 | | 17 | 47 | | 18 | 42 | | 19 | 48 | | 20 | 39 | | 21 | 70 | | 22 | 3 | | 23 | 43 | | 24 | 81 | | 25 | 18 | | 26 | 23 | | 27 | 36 | | 28 | 15 | | 29 | 8 | | 30 | 9 | | 31 | 15 | | 32 | 40 | | 33 | 29 | | 34 | 2 | | 35 | 39 | | 36 | 58 | | 37 | 5 | | 38 | 23 | | 39 | 17 | | 40 | 13 | | 41 | 13 | | 42 | 27 | | 43 | 8 | | 44 | 36 | | 45 | 13 | | 46 | 5 | | 47 | 4 | | 48 | 7 |
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| 96.32% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 157 | | matches | | 0 | "was gone" | | 1 | "were matted" | | 2 | "been pressed" | | 3 | "were curled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 218 | | matches | | |
| 42.61% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 171 | | ratio | 0.035 | | matches | | 0 | "The suspect—tall, lean, moving like a man who knew the city’s veins better than its arteries—had already vanished into the alley’s maw." | | 1 | "The way he said it—like her title was a joke, like she was the one out of her depth—made her skin prickle." | | 2 | "Her watch—worn leather, the strap frayed from years of use—ticked against her wrist." | | 3 | "Graffiti tagged the concrete in jagged, unfamiliar symbols—no gang signs she recognized, no territorial marks." | | 4 | "She could hear it now—the murmur of voices, the clink of glass, the low, rhythmic *thump-thump-thump* of a bassline that vibrated through the soles of her boots." | | 5 | "Eyes—some human, some not—locked onto her." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1421 | | adjectiveStacks | 1 | | stackExamples | | 0 | "suspect—tall, lean, moving like" |
| | adverbCount | 37 | | adverbRatio | 0.026038001407459536 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.0049261083743842365 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 171 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 171 | | mean | 8.92 | | std | 6.6 | | cv | 0.74 | | sampleLengths | | 0 | 33 | | 1 | 22 | | 2 | 19 | | 3 | 2 | | 4 | 2 | | 5 | 2 | | 6 | 5 | | 7 | 8 | | 8 | 9 | | 9 | 12 | | 10 | 3 | | 11 | 19 | | 12 | 14 | | 13 | 20 | | 14 | 17 | | 15 | 4 | | 16 | 2 | | 17 | 12 | | 18 | 4 | | 19 | 8 | | 20 | 17 | | 21 | 2 | | 22 | 30 | | 23 | 2 | | 24 | 11 | | 25 | 3 | | 26 | 15 | | 27 | 13 | | 28 | 11 | | 29 | 23 | | 30 | 3 | | 31 | 2 | | 32 | 2 | | 33 | 4 | | 34 | 8 | | 35 | 22 | | 36 | 14 | | 37 | 3 | | 38 | 10 | | 39 | 2 | | 40 | 20 | | 41 | 3 | | 42 | 3 | | 43 | 3 | | 44 | 16 | | 45 | 6 | | 46 | 9 | | 47 | 22 | | 48 | 11 | | 49 | 12 |
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| 52.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3508771929824561 | | totalSentences | 171 | | uniqueOpeners | 60 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 128 | | matches | | 0 | "Somewhere ahead, a car horn" | | 1 | "Just a rusted metal door," | | 2 | "Then he was gone, the" | | 3 | "Of course it was." |
| | ratio | 0.031 | |
| 91.88% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 128 | | matches | | 0 | "She had his scent now." | | 1 | "She didn’t slow." | | 2 | "Her lungs ached, but the" | | 3 | "She pressed her back against" | | 4 | "She tilted her head just" | | 5 | "He dropped the last few" | | 6 | "She lunged, her shoulder slamming" | | 7 | "They hit the ground hard," | | 8 | "He twisted beneath her, his" | | 9 | "She tightened her grip, her" | | 10 | "His free hand shot up," | | 11 | "Her vision swam." | | 12 | "He bucked her off, rolling" | | 13 | "She tried to stand, but" | | 14 | "She didn’t recognize the liquid" | | 15 | "Her watch—worn leather, the strap" | | 16 | "She staggered to the door," | | 17 | "She worked quickly, her breath" | | 18 | "She pushed the door open," | | 19 | "She pulled her torch from" |
| | ratio | 0.32 | |
| 81.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 128 | | matches | | 0 | "The bone token burned cold" | | 1 | "The suspect—tall, lean, moving like" | | 2 | "She had his scent now." | | 3 | "Rain needled her face, sharp" | | 4 | "The streetlights flickered, their halos" | | 5 | "She didn’t slow." | | 6 | "Her lungs ached, but the" | | 7 | "The alley stank of stale" | | 8 | "She pressed her back against" | | 9 | "A whisper of movement." | | 10 | "She tilted her head just" | | 11 | "He dropped the last few" | | 12 | "Quinn didn’t hesitate." | | 13 | "She lunged, her shoulder slamming" | | 14 | "They hit the ground hard," | | 15 | "He twisted beneath her, his" | | 16 | "Pain exploded behind her ribs," | | 17 | "A wet, rattling sound." | | 18 | "The way he said it—like" | | 19 | "She tightened her grip, her" |
| | ratio | 0.758 | |
| 39.06% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 128 | | matches | | 0 | "Because the man was right." |
| | ratio | 0.008 | |
| 29.48% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 10 | | matches | | 0 | "The bone token burned cold against Quinn’s palm as she skidded around the corner of Neal Street, her boots splashing through puddles that reflected the sickly g…" | | 1 | "The suspect—tall, lean, moving like a man who knew the city’s veins better than its arteries—had already vanished into the alley’s maw." | | 2 | "Her lungs ached, but the burn was familiar, the kind that came from pushing too hard for too long." | | 3 | "The alley stank of stale beer and something older, something that clung to the back of her throat like copper." | | 4 | "He dropped the last few feet with the ease of a man who’d done it a hundred times before, landing in a crouch before springing toward the alley’s dead end." | | 5 | "He bucked her off, rolling to his feet with a grace that made her stomach clench." | | 6 | "The air that rushed up to meet her was thick, stale, laced with the scent of damp earth and something older." | | 7 | "She could hear it now—the murmur of voices, the clink of glass, the low, rhythmic *thump-thump-thump* of a bassline that vibrated through the soles of her boots…" | | 8 | "A man with too many teeth grinned as he sharpened a blade that hummed with an unnatural energy." | | 9 | "A man who walked the line between light and dark, who knew too much and said too little." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 3 | | matches | | 0 | "golden eyes said, his voice close behind her" | | 1 | "she asked, her voice low" | | 2 | "He leaned in, his breath hot against her ear" |
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| 54.76% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she gasped (gasp)" | | 1 | "she slurred (slur)" |
| | dialogueSentences | 21 | | tagDensity | 0.238 | | leniency | 0.476 | | rawRatio | 0.4 | | effectiveRatio | 0.19 | |