| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 10 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1221 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 59.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1221 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "flickered" | | 1 | "treacherous" | | 2 | "pulse" | | 3 | "flicker" | | 4 | "vibrated" | | 5 | "rhythmic" | | 6 | "etched" | | 7 | "quickened" | | 8 | "stomach" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 89 | | matches | (empty) | |
| 94.70% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 89 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 16 | | totalWords | 1203 | | ratio | 0.013 | | matches | | 0 | "The Raven’s Nest" | | 1 | "The Veil Market." | | 2 | "didn’t" | | 3 | "alive" | | 4 | "moved" | | 5 | "Cures for What Ails You" | | 6 | "solutions" | | 7 | "wrong" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 1130 | | uniqueNames | 12 | | maxNameDensity | 1.5 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Raven | 1 | | Harlow | 1 | | Quinn | 17 | | Camden | 1 | | Veil | 1 | | Met | 1 | | Market | 6 | | Ails | 1 | | Saint | 1 | | Christopher | 1 | | Herrera | 1 | | Tomás | 5 |
| | persons | | 0 | "Raven" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Camden" | | 4 | "Market" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Herrera" | | 8 | "Tomás" |
| | places | (empty) | | globalScore | 0.748 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 6 | | matches | | 0 | "looked like dried herbs until it *moved*" | | 1 | "looked like human teeth" | | 2 | "blades that seemed to drink in the light" | | 3 | "stall that seemed to shift in the dim light, its edges blurring like a mirage" | | 4 | "looked like human hair" | | 5 | "something like amusement" |
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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 | 1203 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 34.37 | | std | 28.53 | | cv | 0.83 | | sampleLengths | | 0 | 55 | | 1 | 74 | | 2 | 69 | | 3 | 4 | | 4 | 71 | | 5 | 3 | | 6 | 60 | | 7 | 82 | | 8 | 13 | | 9 | 59 | | 10 | 33 | | 11 | 5 | | 12 | 95 | | 13 | 6 | | 14 | 61 | | 15 | 79 | | 16 | 44 | | 17 | 54 | | 18 | 59 | | 19 | 64 | | 20 | 13 | | 21 | 3 | | 22 | 7 | | 23 | 38 | | 24 | 2 | | 25 | 9 | | 26 | 4 | | 27 | 9 | | 28 | 27 | | 29 | 6 | | 30 | 26 | | 31 | 21 | | 32 | 11 | | 33 | 33 | | 34 | 4 |
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| 93.44% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 89 | | matches | | 0 | "was gone" | | 1 | "was lined" | | 2 | "was garbled" |
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| 93.05% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 187 | | matches | | 0 | "wasn’t walking" | | 1 | "was getting" | | 2 | "were going" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 98 | | ratio | 0.122 | | matches | | 0 | "The suspect—lean, fast, and already halfway down the alley—glanced back just once, eyes wide under the hood of his soaked jacket." | | 1 | "Then she saw it—a flicker of movement near the mouth of an alley, half-hidden behind a rusted fire escape." | | 2 | "She knew the stories—every cop in the Met did." | | 3 | "Just a single, crude symbol carved into the centre—a spiral that made her eyes ache if she looked at it too long." | | 4 | "The torchlight caught glimpses of the walls—peeling paint, exposed pipes, the occasional flicker of something that might have been movement." | | 5 | "And if the stories were true, the Market wasn’t just dangerous—it was *alive*." | | 6 | "The noise hit her first—the clamour of voices, the clink of glass, the low, rhythmic beat of something that might have been music." | | 7 | "Strings of flickering bulbs cast a sickly yellow glow over the crowd—figures in hooded cloaks, others in street clothes, all moving with the purpose of people who knew exactly where they were going." | | 8 | "One sold whispers—actual whispers, trapped in glass vials." | | 9 | "Another stall displayed weapons—guns that hummed with an unnatural energy, blades that seemed to drink in the light." | | 10 | "Between them lay a single object—a knife, its blade black as oil, its hilt wrapped in what looked like human hair." | | 11 | "Quinn turned just in time to see the figures closing in—hooded, faceless, their movements too smooth, too *wrong*." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1148 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.02613240418118467 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0017421602787456446 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 12.28 | | std | 7.44 | | cv | 0.606 | | sampleLengths | | 0 | 16 | | 1 | 15 | | 2 | 21 | | 3 | 3 | | 4 | 3 | | 5 | 24 | | 6 | 26 | | 7 | 21 | | 8 | 6 | | 9 | 11 | | 10 | 22 | | 11 | 12 | | 12 | 18 | | 13 | 4 | | 14 | 8 | | 15 | 18 | | 16 | 19 | | 17 | 26 | | 18 | 3 | | 19 | 3 | | 20 | 9 | | 21 | 13 | | 22 | 9 | | 23 | 10 | | 24 | 16 | | 25 | 19 | | 26 | 22 | | 27 | 15 | | 28 | 2 | | 29 | 2 | | 30 | 22 | | 31 | 7 | | 32 | 6 | | 33 | 13 | | 34 | 20 | | 35 | 12 | | 36 | 14 | | 37 | 2 | | 38 | 10 | | 39 | 8 | | 40 | 13 | | 41 | 5 | | 42 | 23 | | 43 | 20 | | 44 | 19 | | 45 | 33 | | 46 | 6 | | 47 | 15 | | 48 | 15 | | 49 | 16 |
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| 41.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.29591836734693877 | | totalSentences | 98 | | uniqueOpeners | 29 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 85 | | matches | | 0 | "Then he bolted." | | 1 | "Then she saw it—a flicker" | | 2 | "Just a single, crude symbol" |
| | ratio | 0.035 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 85 | | matches | | 0 | "She vaulted over a stack" | | 1 | "She pushed harder, her lungs" | | 2 | "She knew the stories—every cop" | | 3 | "She pulled her torch from" | | 4 | "It swung inward without a" | | 5 | "She forced herself to keep" | | 6 | "She pressed it to her" | | 7 | "She cursed under her breath" | | 8 | "She followed, emerging into a" | | 9 | "It wasn’t the man she’d" | | 10 | "She ignored it." |
| | ratio | 0.129 | |
| 30.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 85 | | matches | | 0 | "The neon sign above *The" | | 1 | "Detective Harlow Quinn’s boots splashed" | | 2 | "The suspect—lean, fast, and already" | | 3 | "Quinn didn’t hesitate." | | 4 | "She vaulted over a stack" | | 5 | "The radio crackled, static swallowing" | | 6 | "The alley opened into a" | | 7 | "She pushed harder, her lungs" | | 8 | "The rain had turned the" | | 9 | "Quinn followed, her shoulder brushing" | | 10 | "The passage spat her out" | | 11 | "The suspect was gone." | | 12 | "Quinn slowed, her pulse hammering" | | 13 | "The street was lined with" | | 14 | "A bone token, pale and" | | 15 | "*The Veil Market.*" | | 16 | "Quinn’s jaw tightened." | | 17 | "She knew the stories—every cop" | | 18 | "A black market that moved" | | 19 | "Things that *didn’t* exist, if" |
| | ratio | 0.859 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 11 | | matches | | 0 | "Ahead, the suspect ducked into a narrow passage between two buildings, the kind of place that smelled of urine and damp stone." | | 1 | "The street was lined with shuttered shops and boarded-up windows, the kind of place that swallowed people whole." | | 2 | "The torchlight caught glimpses of the walls—peeling paint, exposed pipes, the occasional flicker of something that might have been movement." | | 3 | "The noise hit her first—the clamour of voices, the clink of glass, the low, rhythmic beat of something that might have been music." | | 4 | "The air was thick with the scent of incense and something sharper, something that burned the back of her throat." | | 5 | "Strings of flickering bulbs cast a sickly yellow glow over the crowd—figures in hooded cloaks, others in street clothes, all moving with the purpose of people w…" | | 6 | "Jars of swirling liquid lined one stall, their contents shifting colours like oil on water." | | 7 | "Another displayed rows of knives, their blades etched with symbols that made Quinn’s vision swim." | | 8 | "She forced herself to keep walking, her hand resting on the grip of her baton." | | 9 | "A third had a sign that read *Cures for What Ails You*, the proprietor a gaunt woman with too many teeth." | | 10 | "The suspect was ahead, standing in front of a stall that seemed to shift in the dim light, its edges blurring like a mirage." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "The radio crackled, static swallowing her words as she skidded around the corner" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |