| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.77% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1181 | | totalAiIsmAdverbs | 1 | | 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) | |
| 32.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1181 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "electric" | | 1 | "reminder" | | 2 | "rhythmic" | | 3 | "maw" | | 4 | "etched" | | 5 | "vibrated" | | 6 | "weight" | | 7 | "velvet" | | 8 | "chaotic" | | 9 | "tangible" | | 10 | "crystal" | | 11 | "shattered" | | 12 | "chill" | | 13 | "standard" | | 14 | "whisper" | | 15 | "synchronized" |
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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 | 94 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 94 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1181 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1058 | | uniqueNames | 14 | | maxNameDensity | 1.61 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Harlow" | | discoveredNames | | Harlow | 17 | | Soho | 2 | | Morris | 1 | | Whitechapel | 1 | | Metropolitan | 1 | | Police | 1 | | Tube | 1 | | Camden | 1 | | Edwardian | 1 | | Veil | 1 | | Market | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Morris" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Tomás" |
| | places | | | globalScore | 0.697 | | windowScore | 0.667 | |
| 47.26% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 73 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like minutes, the sounds of Soho f" | | 1 | "looked like a man stretched on a rack, hi" | | 2 | "looked like a doctor, or perhaps a parame" |
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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 | 1181 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 104 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 23.16 | | std | 16.51 | | cv | 0.713 | | sampleLengths | | 0 | 32 | | 1 | 3 | | 2 | 21 | | 3 | 58 | | 4 | 27 | | 5 | 31 | | 6 | 49 | | 7 | 25 | | 8 | 42 | | 9 | 3 | | 10 | 23 | | 11 | 57 | | 12 | 36 | | 13 | 4 | | 14 | 4 | | 15 | 5 | | 16 | 46 | | 17 | 16 | | 18 | 40 | | 19 | 5 | | 20 | 62 | | 21 | 37 | | 22 | 30 | | 23 | 37 | | 24 | 13 | | 25 | 18 | | 26 | 2 | | 27 | 5 | | 28 | 39 | | 29 | 19 | | 30 | 16 | | 31 | 31 | | 32 | 17 | | 33 | 7 | | 34 | 6 | | 35 | 20 | | 36 | 13 | | 37 | 8 | | 38 | 22 | | 39 | 60 | | 40 | 7 | | 41 | 17 | | 42 | 5 | | 43 | 28 | | 44 | 21 | | 45 | 17 | | 46 | 15 | | 47 | 18 | | 48 | 18 | | 49 | 3 |
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| 97.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 94 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 8 | | totalVerbs | 199 | | matches | | 0 | "were trying" | | 1 | "was haggling" | | 2 | "was still pulsing" | | 3 | "wasn't looking" | | 4 | "was looking" | | 5 | "was following" | | 6 | "were holding" | | 7 | "were closing" |
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| 87.91% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 104 | | ratio | 0.019 | | matches | | 0 | "It didn't just smell of waste; it vibrated." | | 1 | "He didn't run toward the exit; he dived deeper into the labyrinth of stalls, knocking over a display of crystal spheres that shattered with a sound like screaming children." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1063 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.020696142991533398 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005644402634054563 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 11.36 | | std | 6.54 | | cv | 0.576 | | sampleLengths | | 0 | 11 | | 1 | 21 | | 2 | 3 | | 3 | 4 | | 4 | 17 | | 5 | 4 | | 6 | 23 | | 7 | 6 | | 8 | 25 | | 9 | 13 | | 10 | 3 | | 11 | 11 | | 12 | 17 | | 13 | 14 | | 14 | 16 | | 15 | 17 | | 16 | 16 | | 17 | 8 | | 18 | 17 | | 19 | 6 | | 20 | 12 | | 21 | 7 | | 22 | 17 | | 23 | 3 | | 24 | 8 | | 25 | 8 | | 26 | 7 | | 27 | 12 | | 28 | 22 | | 29 | 23 | | 30 | 7 | | 31 | 12 | | 32 | 17 | | 33 | 4 | | 34 | 4 | | 35 | 5 | | 36 | 14 | | 37 | 16 | | 38 | 16 | | 39 | 11 | | 40 | 5 | | 41 | 12 | | 42 | 9 | | 43 | 19 | | 44 | 5 | | 45 | 9 | | 46 | 8 | | 47 | 20 | | 48 | 25 | | 49 | 11 |
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| 40.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.2980769230769231 | | totalSentences | 104 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 89 | | matches | (empty) | | ratio | 0 | |
| 44.72% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 89 | | matches | | 0 | "She recovered with a military" | | 1 | "He dove between two idling" | | 2 | "She didn't look at the" | | 3 | "He didn't apologize." | | 4 | "He scrambled up a narrow" | | 5 | "She could hear his boots" | | 6 | "He surged toward a dead" | | 7 | "He pivoted, slamming his shoulder" | | 8 | "He vanished into the dark" | | 9 | "She stopped at the edge" | | 10 | "She knelt, her sharp jaw" | | 11 | "It was a small, carved" | | 12 | "It didn't just smell of" | | 13 | "He had called it the" | | 14 | "She looked back at the" | | 15 | "She gripped the token." | | 16 | "She climbed for what felt" | | 17 | "She wasn't in a sewer." | | 18 | "She stood in the belly" | | 19 | "It was a subterranean bazaar" |
| | ratio | 0.438 | |
| 10.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 89 | | matches | | 0 | "The leather sole of Harlow's" | | 1 | "She recovered with a military" | | 2 | "The suspect didn't stop." | | 3 | "He dove between two idling" | | 4 | "Harlow sprinted after him." | | 5 | "Rain lashed against her face," | | 6 | "She didn't look at the" | | 7 | "The worn leather watch on" | | 8 | "The suspect banked hard right," | | 9 | "He didn't apologize." | | 10 | "He scrambled up a narrow" | | 11 | "Harlow pushed past a stack" | | 12 | "She could hear his boots" | | 13 | "He surged toward a dead" | | 14 | "He pivoted, slamming his shoulder" | | 15 | "He vanished into the dark" | | 16 | "She stopped at the edge" | | 17 | "The smell hit her first:" | | 18 | "She knelt, her sharp jaw" | | 19 | "A single object lay on" |
| | ratio | 0.899 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 89 | | matches | | 0 | "To go down was to" | | 1 | "To go down was to" |
| | ratio | 0.022 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 10 | | matches | | 0 | "She recovered with a military snap, her chest heaving, eyes locked on the silhouette weaving through the midnight traffic of Soho." | | 1 | "The descent was a series of rusted iron rungs that groaned under her weight." | | 2 | "Massive iron chains draped from the vaulted ceiling, holding up floating lanterns that burned with a flickering, violet flame." | | 3 | "They sold vials of shimmering mercury, bound leather books that whimpered when touched, and necklaces made of teeth that didn't belong to any known mammal." | | 4 | "It was a collective, psychic pressure, as if the market itself were trying to digest her." | | 5 | "He was haggling with a creature that looked like a man stretched on a rack, his limbs too long and his fingers ending in needle-thin points." | | 6 | "He didn't run toward the exit; he dived deeper into the labyrinth of stalls, knocking over a display of crystal spheres that shattered with a sound like screami…" | | 7 | "Harlow shouldered the entity aside, feeling a sudden, piercing chill that seeped through her coat and settled in her marrow." | | 8 | "Around his neck hung a Saint Christopher medallion that caught the light." | | 9 | "He looked like a doctor, or perhaps a paramedic, but there was a hardness in his gaze that suggested he had seen things that would make a coroner faint." |
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| 34.09% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 2 | | matches | | 0 | "the vendor rasped, his voice sounding like dry parchment rubbing together" | | 1 | "Harlow replied, her voice steady despite the thumping in her chest" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 4 | | fancyTags | | 0 | "she barked (bark)" | | 1 | "she panted (pant)" | | 2 | "he whispered (whisper)" | | 3 | "Harlow demanded (demand)" |
| | dialogueSentences | 22 | | tagDensity | 0.364 | | leniency | 0.727 | | rawRatio | 0.5 | | effectiveRatio | 0.364 | |