| 18.18% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said quietly [quietly]" |
| | dialogueSentences | 11 | | tagDensity | 0.273 | | leniency | 0.545 | | rawRatio | 0.333 | | effectiveRatio | 0.182 | |
| 87.28% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1965 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "quickly" | | 1 | "slowly" | | 2 | "really" | | 3 | "softly" |
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| 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) | |
| 61.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1965 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "shattered" | | 1 | "fractured" | | 2 | "rhythmic" | | 3 | "jaw clenched" | | 4 | "pulse" | | 5 | "flickered" | | 6 | "scanned" | | 7 | "etched" | | 8 | "pulsed" | | 9 | "weight" | | 10 | "fluttered" | | 11 | "stomach" | | 12 | "gleaming" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
|
| | highlights | | 0 | "eyes widened" | | 1 | "jaw clenched" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 153 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 153 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 161 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 13 | | totalWords | 1958 | | ratio | 0.007 | | matches | | 0 | "Bone Token Required. No Exceptions." | | 1 | "Herrera Apothecary – No Questions, No Receipts" | | 2 | "you" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 64 | | wordCount | 1790 | | uniqueNames | 26 | | maxNameDensity | 0.84 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Detective | 1 | | Harlow | 1 | | Quinn | 15 | | Raven | 1 | | Nest | 2 | | Tomás | 2 | | Herrera | 14 | | Polish | 1 | | Saint | 2 | | Christopher | 2 | | Charing | 1 | | Cross | 1 | | Road | 1 | | Morris | 4 | | Northern | 1 | | Line | 1 | | Token | 1 | | Required | 1 | | Veil | 2 | | Market | 2 | | Tube | 1 | | Camden | 3 | | Town | 1 | | Apothecary | 1 | | Questions | 1 |
| | persons | | 0 | "Detective" | | 1 | "Harlow" | | 2 | "Quinn" | | 3 | "Raven" | | 4 | "Tomás" | | 5 | "Herrera" | | 6 | "Saint" | | 7 | "Christopher" | | 8 | "Morris" | | 9 | "Market" |
| | places | | 0 | "Soho" | | 1 | "Polish" | | 2 | "Charing" | | 3 | "Cross" | | 4 | "Road" | | 5 | "Camden" | | 6 | "Town" |
| | globalScore | 1 | | windowScore | 1 | |
| 82.43% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 111 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like chicken bones wrapped in red" | | 1 | "looked like living smoke" | | 2 | "something like regret" |
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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 | 1958 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 161 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 45.53 | | std | 29.08 | | cv | 0.639 | | sampleLengths | | 0 | 123 | | 1 | 84 | | 2 | 75 | | 3 | 86 | | 4 | 97 | | 5 | 74 | | 6 | 81 | | 7 | 56 | | 8 | 55 | | 9 | 61 | | 10 | 60 | | 11 | 5 | | 12 | 115 | | 13 | 90 | | 14 | 51 | | 15 | 3 | | 16 | 53 | | 17 | 27 | | 18 | 31 | | 19 | 26 | | 20 | 36 | | 21 | 21 | | 22 | 9 | | 23 | 40 | | 24 | 36 | | 25 | 34 | | 26 | 14 | | 27 | 39 | | 28 | 40 | | 29 | 12 | | 30 | 42 | | 31 | 42 | | 32 | 17 | | 33 | 46 | | 34 | 30 | | 35 | 46 | | 36 | 35 | | 37 | 6 | | 38 | 55 | | 39 | 21 | | 40 | 52 | | 41 | 20 | | 42 | 12 |
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| 98.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 153 | | matches | | 0 | "been closed" | | 1 | "was plastered" | | 2 | "been told" |
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| 45.47% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 302 | | matches | | 0 | "was chasing" | | 1 | "was heading" | | 2 | "was clearly leading" | | 3 | "were packing" | | 4 | "was already moving" | | 5 | "wasn’t running" | | 6 | "was choosing" |
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| 0.89% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 1 | | flaggedSentences | 8 | | totalSentences | 161 | | ratio | 0.05 | | matches | | 0 | "Her right hand stayed near the concealed holster under her jacket; she wouldn’t draw in a crowded street unless she had to." | | 1 | "Concrete steps spiralled down into darkness, the air that rose to meet her thick with the smell of damp stone, ozone, and something sweeter—incense, maybe, or old blood." | | 2 | "She thought of Morris—his easy laugh, the way he’d always had her back—and started down." | | 3 | "She’d heard the rumours about the Veil Market—supernatural black market, moved every full moon, sold things that shouldn’t exist." | | 4 | "The sign above it read *Herrera Apothecary – No Questions, No Receipts* in elegant gold script." | | 5 | "The stall owner—an ancient woman with silver hair in elaborate braids—handed him a leather satchel without a word." | | 6 | "Something flickered across his face—pity, maybe." | | 7 | "Or she could take the exit he’d left open, climb back into the ordinary rain, and start pulling threads the legal way—warrants, surveillance, slow deliberate pressure until the clique cracked." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1816 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 65 | | adverbRatio | 0.03579295154185022 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.006607929515418502 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 161 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 161 | | mean | 12.16 | | std | 7.95 | | cv | 0.654 | | sampleLengths | | 0 | 23 | | 1 | 13 | | 2 | 35 | | 3 | 3 | | 4 | 36 | | 5 | 13 | | 6 | 3 | | 7 | 11 | | 8 | 23 | | 9 | 19 | | 10 | 4 | | 11 | 22 | | 12 | 2 | | 13 | 14 | | 14 | 7 | | 15 | 17 | | 16 | 5 | | 17 | 17 | | 18 | 15 | | 19 | 12 | | 20 | 8 | | 21 | 15 | | 22 | 11 | | 23 | 18 | | 24 | 4 | | 25 | 1 | | 26 | 17 | | 27 | 2 | | 28 | 8 | | 29 | 19 | | 30 | 14 | | 31 | 3 | | 32 | 7 | | 33 | 13 | | 34 | 6 | | 35 | 6 | | 36 | 19 | | 37 | 24 | | 38 | 3 | | 39 | 15 | | 40 | 17 | | 41 | 15 | | 42 | 9 | | 43 | 9 | | 44 | 11 | | 45 | 15 | | 46 | 9 | | 47 | 28 | | 48 | 6 | | 49 | 5 |
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| 52.80% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.35403726708074534 | | totalSentences | 161 | | uniqueOpeners | 57 | |
| 70.42% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 142 | | matches | | 0 | "Just her and a suspect" | | 1 | "Instead he lifted both hands" | | 2 | "Then she turned on her" |
| | ratio | 0.021 | |
| 93.24% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 142 | | matches | | 0 | "Her breath sawed in her" | | 1 | "She didn’t slow." | | 2 | "He was fast." | | 3 | "She didn’t break stride." | | 4 | "Her right hand stayed near" | | 5 | "He dropped on the far" | | 6 | "She landed hard, knees flexing," | | 7 | "He was heading north." | | 8 | "She could see the distant" | | 9 | "She was sure of it" | | 10 | "He ducked into the mouth" | | 11 | "She rounded the corner just" | | 12 | "She slowed, drawing her baton" | | 13 | "She approached the door, shoulder" | | 14 | "She knew this wasn’t procedure." | | 15 | "She thought of Morris—his easy" | | 16 | "She’d heard the rumours about" | | 17 | "She’d dismissed most of it" | | 18 | "She scanned the floor." | | 19 | "She picked one up." |
| | ratio | 0.317 | |
| 48.03% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 117 | | totalSentences | 142 | | matches | | 0 | "The rain came down in" | | 1 | "Streetlights fractured across the wet" | | 2 | "Her breath sawed in her" | | 3 | "She didn’t slow." | | 4 | "The man she was chasing" | | 5 | "The one they called when" | | 6 | "He was fast." | | 7 | "Quinn’s coat flapped behind her" | | 8 | "The sharp line of her" | | 9 | "She didn’t break stride." | | 10 | "Her right hand stayed near" | | 11 | "Herrera cut left into an" | | 12 | "Quinn followed, boots splashing through" | | 13 | "The alley narrowed, brick walls" | | 14 | "Herrera was already halfway over" | | 15 | "He dropped on the far" | | 16 | "Quinn vaulted the fence without" | | 17 | "She landed hard, knees flexing," | | 18 | "The alley spat them out" | | 19 | "Herrera weaved between two black" |
| | ratio | 0.824 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 142 | | matches | (empty) | | ratio | 0 | |
| 38.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 82 | | technicalSentenceCount | 12 | | matches | | 0 | "The rain came down in sheets, turning the Soho pavements into black mirrors that shattered every time Detective Harlow Quinn’s boots struck them." | | 1 | "The sharp line of her jaw clenched as she dodged a late-night pedestrian who cursed at her in Polish." | | 2 | "Herrera cut left into an alley that smelled of piss and rotting kebab wrappers." | | 3 | "He ducked into the mouth of a side street that sloped downward, the kind of forgotten cut-through locals used to avoid the main roads." | | 4 | "She’d heard the rumours about the Veil Market—supernatural black market, moved every full moon, sold things that shouldn’t exist." | | 5 | "It was heavier than it should have been, warm to the touch, and etched with tiny symbols that made her eyes water if she stared too long." | | 6 | "Stalls lined both platforms and spilled onto the tracks themselves, lit by floating orbs of witch-light and strings of multicoloured lanterns that defied the ph…" | | 7 | "A small queue waited: a man with gills behind his ears, a child with entirely black eyes, something that looked like living smoke." | | 8 | "Quinn tensed, baton rising, but he only withdrew a small glass vial filled with black liquid that moved like it was alive." | | 9 | "When she looked up again, Herrera was already moving, slipping between two stalls and vanishing down a service tunnel that shouldn’t have existed." | | 10 | "But she’d been pressing those threads for three years and they’d led her here, to an underground market that smelled of magic and rot, holding something alive i…" | | 11 | "Behind her, far below, the Veil Market folded itself away like a secret that had never been told, waiting for the next full moon to open somewhere new." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0 | | effectiveRatio | 0 | |