| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.65% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1322 | | 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) | |
| 62.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1322 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "measured" | | 1 | "silence" | | 2 | "echoed" | | 3 | "rhythmic" | | 4 | "footsteps" | | 5 | "gloom" | | 6 | "etched" | | 7 | "shimmered" |
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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 | 71 | | matches | (empty) | |
| 82.49% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 71 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1312 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 78.50% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 1049 | | uniqueNames | 10 | | maxNameDensity | 1.43 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 1 | | Quinn | 1 | | Tube | 1 | | Miller | 6 | | Harlow | 15 | | Morris | 1 | | Veil | 1 | | Compass | 1 | | Eva | 1 | | Kowalski | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Miller" | | 2 | "Harlow" | | 3 | "Morris" | | 4 | "Compass" | | 5 | "Eva" | | 6 | "Kowalski" |
| | places | (empty) | | globalScore | 0.785 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 4 | | matches | | 0 | "tasted like a warning" | | 1 | "as if reaching for something that wasn't there" | | 2 | "sound that seemed to be answered by another set of footsteps, miles deep within the concrete artery" | | 3 | "looked like exposed ribcages" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.287 | | wordCount | 1312 | | matches | | 0 | "not on the dead girl, but on the items scattered near her outstretched hand: a torn pa" | | 1 | "not blood, but something deeper, almost black" | | 2 | "not away from the creature, but toward it, swinging her heavy torch in a wide arc" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 36.44 | | std | 21.06 | | cv | 0.578 | | sampleLengths | | 0 | 35 | | 1 | 67 | | 2 | 32 | | 3 | 50 | | 4 | 40 | | 5 | 57 | | 6 | 11 | | 7 | 79 | | 8 | 36 | | 9 | 28 | | 10 | 26 | | 11 | 67 | | 12 | 4 | | 13 | 51 | | 14 | 23 | | 15 | 59 | | 16 | 3 | | 17 | 4 | | 18 | 64 | | 19 | 43 | | 20 | 65 | | 21 | 8 | | 22 | 15 | | 23 | 49 | | 24 | 27 | | 25 | 11 | | 26 | 57 | | 27 | 32 | | 28 | 13 | | 29 | 57 | | 30 | 41 | | 31 | 4 | | 32 | 38 | | 33 | 23 | | 34 | 51 | | 35 | 42 |
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| 80.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 71 | | matches | | 0 | "was measured" | | 1 | "were splayed" | | 2 | "been ripped" | | 3 | "being dismantled" | | 4 | "being pulled" |
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| 85.06% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 174 | | matches | | 0 | "were shouting" | | 1 | "was already reforming" | | 2 | "were bleeding" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 3 | | flaggedSentences | 9 | | totalSentences | 86 | | ratio | 0.105 | | matches | | 0 | "Scratched into the plaster were symbols—not graffiti, not gang tags." | | 1 | "Beneath the nails were flecks of red—not blood, but something deeper, almost black." | | 2 | "Only a lingering scent of old parchment and damp fur remained, a sensory ghost of someone—or something—that had been watching." | | 3 | "At the center lay a satchel—worn leather, scarred at the corners—abandoned in haste." | | 4 | "It didn't walk; it flowed, the air rippling around it like heat haze." | | 5 | "It didn't strike; it pointed, its gesture mimicking the way the dead girl had reached for the tunnel ceiling." | | 6 | "The figure tilted its head, a rhythmic, wet clicking escaping its chest—a sound like a clock being dismantled by a blind man." | | 7 | "Harlow dropped the torch, the beam rolling across the floor and illuminating a second pair of feet standing in the doorway of the passage—a woman’s feet, clad in heavy, scuffed boots, standing perfectly still in the growing dark." | | 8 | "The walls weren't just damp anymore; they were bleeding a viscous, dark sludge." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1059 | | adjectiveStacks | 1 | | stackExamples | | 0 | "heavy, pressing against her" |
| | adverbCount | 23 | | adverbRatio | 0.021718602455146365 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.009442870632672332 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 15.26 | | std | 8.31 | | cv | 0.545 | | sampleLengths | | 0 | 35 | | 1 | 20 | | 2 | 23 | | 3 | 24 | | 4 | 16 | | 5 | 16 | | 6 | 9 | | 7 | 14 | | 8 | 27 | | 9 | 8 | | 10 | 17 | | 11 | 15 | | 12 | 33 | | 13 | 24 | | 14 | 2 | | 15 | 3 | | 16 | 5 | | 17 | 1 | | 18 | 20 | | 19 | 23 | | 20 | 23 | | 21 | 13 | | 22 | 16 | | 23 | 10 | | 24 | 10 | | 25 | 15 | | 26 | 13 | | 27 | 14 | | 28 | 12 | | 29 | 24 | | 30 | 13 | | 31 | 10 | | 32 | 11 | | 33 | 9 | | 34 | 4 | | 35 | 26 | | 36 | 13 | | 37 | 12 | | 38 | 9 | | 39 | 14 | | 40 | 20 | | 41 | 13 | | 42 | 26 | | 43 | 3 | | 44 | 4 | | 45 | 17 | | 46 | 23 | | 47 | 24 | | 48 | 10 | | 49 | 13 |
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| 65.50% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4418604651162791 | | totalSentences | 86 | | uniqueOpeners | 38 | |
| 49.75% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 67 | | matches | | 0 | "Only a lingering scent of" |
| | ratio | 0.015 | |
| 70.75% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 67 | | matches | | 0 | "Her eyes swept the platform," | | 1 | "She didn't need to check" | | 2 | "She kept a deliberate distance" | | 3 | "He nodded toward the victim," | | 4 | "He didn't look." | | 5 | "He didn't want to look." | | 6 | "She pulled a worn leather" | | 7 | "She ignored it, locking the" | | 8 | "She stepped closer to the" | | 9 | "They were fluid, aggressive, mimicking" | | 10 | "she said, her voice low" | | 11 | "It spun, a frantic, jittery" | | 12 | "She looked at the victim's" | | 13 | "She felt the heavy, suffocating" | | 14 | "She stalked toward the darkness," | | 15 | "She reached the edge of" | | 16 | "She pressed her back against" | | 17 | "She leaned out, flicking her" | | 18 | "She saw it now, etched" | | 19 | "She recognised the craftsmanship." |
| | ratio | 0.373 | |
| 4.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 67 | | matches | | 0 | "The smell of ozone and" | | 1 | "Harlow Quinn ducked under the" | | 2 | "Her eyes swept the platform," | | 3 | "She didn't need to check" | | 4 | "Sergeant Miller muttered, his face" | | 5 | "Harlow circled the perimeter, her" | | 6 | "She kept a deliberate distance" | | 7 | "Miller countered, crossing his arms" | | 8 | "He nodded toward the victim," | | 9 | "Harlow knelt, focusing not on" | | 10 | "He didn't look." | | 11 | "He didn't want to look." | | 12 | "Harlow stood, her joints popping" | | 13 | "She pulled a worn leather" | | 14 | "The memory of DS Morris," | | 15 | "She ignored it, locking the" | | 16 | "She stepped closer to the" | | 17 | "They were fluid, aggressive, mimicking" | | 18 | "she said, her voice low" | | 19 | "Miller pushed off the wall," |
| | ratio | 0.91 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 10 | | matches | | 0 | "Harlow Quinn ducked under the sagging yellow police tape, her boots crunching over pulverized brick and generations of Tube grime." | | 1 | "She pulled a worn leather notebook from her coat pocket, flipping past three years of dead-ends, of names that refused to stay buried." | | 2 | "Every step echoed, a rhythmic, hollow sound that seemed to be answered by another set of footsteps, miles deep within the concrete artery." | | 3 | "Only a lingering scent of old parchment and damp fur remained, a sensory ghost of someone—or something—that had been watching." | | 4 | "The light cut through the gloom, revealing a narrow, hidden passage behind a maintenance shutter that had been ripped clean from its hinges." | | 5 | "She saw it now, etched into the floor of the secret passage: a series of interlocking circles, the salt glowing with a faint, pulsing violet light that shouldn'…" | | 6 | "It was the same style Eva Kowalski carried, the same obsessively curated gear of a researcher who played with matches near open gasoline." | | 7 | "The compass in Harlow's hand began to glow, the sigils on the brass face flaring with a brilliant, white heat that seared her skin." | | 8 | "The beam clipped the entity’s shoulder, making it dissipate into a cloud of swirling, black ash, but it was already reforming behind her." | | 9 | "The concrete floor beneath them groaned, the metal supports shrieking as if the entire station were being pulled apart by invisible hands." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 6 | | matches | | 0 | "Sergeant Miller muttered, his face a pale mask of professional indifference" | | 1 | "Harlow stood, her joints popping in the subterranean silence" | | 2 | "she said, her voice low" | | 3 | "Miller pushed, his bravado thinning" | | 4 | "Miller’s voice sounded, as if he were shouting through a thick woolen blanket" | | 5 | "Harlow demanded, her voice cutting through the thick, stagnant air" |
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| 16.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 4 | | fancyTags | | 0 | "Sergeant Miller muttered (mutter)" | | 1 | "Harlow whispered (whisper)" | | 2 | "Harlow demanded (demand)" | | 3 | "Harlow shouted (shout)" |
| | dialogueSentences | 30 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.8 | | effectiveRatio | 0.267 | |