| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1618 | | 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) | |
| 44.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1618 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "measured" | | 1 | "structure" | | 2 | "glinting" | | 3 | "scanning" | | 4 | "footsteps" | | 5 | "whisper" | | 6 | "silence" | | 7 | "oppressive" | | 8 | "echoed" | | 9 | "pulsed" | | 10 | "gleaming" | | 11 | "velvet" | | 12 | "familiar" | | 13 | "weight" | | 14 | "tension" | | 15 | "stomach" | | 16 | "could feel" |
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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 | 118 | | matches | (empty) | |
| 58.11% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 6 | | narrationSentences | 118 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "try to" | | 3 | "happened to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1607 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 92.46% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 1564 | | uniqueNames | 19 | | maxNameDensity | 1.15 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | London | 2 | | Harlow | 1 | | Quinn | 18 | | Camden | 1 | | Soho | 1 | | Herrera | 10 | | Raven | 1 | | Nest | 1 | | Saint | 1 | | Christopher | 1 | | Morris | 5 | | Victorian | 1 | | Tube | 3 | | Met | 1 | | Veil | 1 | | Market | 1 | | Queen | 1 | | Silver | 1 | | Jubilee | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Morris" | | 6 | "Met" | | 7 | "Queen" | | 8 | "Silver" |
| | places | | 0 | "London" | | 1 | "Camden" | | 2 | "Soho" | | 3 | "Raven" | | 4 | "Tube" | | 5 | "Market" |
| | globalScore | 0.925 | | windowScore | 1 | |
| 35.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 87 | | glossingSentenceCount | 4 | | matches | | 0 | "not quite running but moving with purpose" | | 1 | "looked like a Tube entrance" | | 2 | "something like pity before clamming up entir" | | 3 | "looked like carved bones, each one stampe" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.622 | | wordCount | 1607 | | matches | | 0 | "not quite running but moving with purpose" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 121 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 41.21 | | std | 26.07 | | cv | 0.633 | | sampleLengths | | 0 | 73 | | 1 | 67 | | 2 | 67 | | 3 | 6 | | 4 | 83 | | 5 | 5 | | 6 | 87 | | 7 | 24 | | 8 | 51 | | 9 | 48 | | 10 | 45 | | 11 | 68 | | 12 | 5 | | 13 | 67 | | 14 | 65 | | 15 | 10 | | 16 | 73 | | 17 | 6 | | 18 | 94 | | 19 | 60 | | 20 | 25 | | 21 | 55 | | 22 | 6 | | 23 | 62 | | 24 | 38 | | 25 | 41 | | 26 | 34 | | 27 | 53 | | 28 | 37 | | 29 | 23 | | 30 | 63 | | 31 | 4 | | 32 | 21 | | 33 | 13 | | 34 | 43 | | 35 | 16 | | 36 | 37 | | 37 | 19 | | 38 | 13 |
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| 93.37% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 118 | | matches | | 0 | "been condemned" | | 1 | "were lined" | | 2 | "been transformed" | | 3 | "was made" |
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| 10.20% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 8 | | totalVerbs | 281 | | matches | | 0 | "was going" | | 1 | "was expecting" | | 2 | "was still doing" | | 3 | "was investigating" | | 4 | "was still moving" | | 5 | "was negotiating" | | 6 | "was gesturing" | | 7 | "were discussing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 121 | | ratio | 0.074 | | matches | | 0 | "The suspect had entered the dilapidated building across the road eleven minutes ago—a structure that city records insisted had been condemned after a fire in 2019." | | 1 | "He looked different than he had in the grainy photos she'd pulled—harder, maybe, the olive skin of his face drawn tight over high cheekbones." | | 2 | "But that was wrong—she knew this area, knew that the nearest station was three blocks east." | | 3 | "The air smelled different down here—older, somehow, with a metallic undertone that reminded her of the blood bank her grandmother had visited in her final years." | | 4 | "The tunnel opened into what must have once been a platform—a proper Tube station, complete with faded advertisements for shows that had closed decades ago." | | 5 | "Beyond her, an elderly man was negotiating over something that looked disturbingly like a human hand—until Quinn blinked and realized it was made of copper, articulated joints gleaming in the lamplight." | | 6 | "She took a step forward—and stopped." | | 7 | "Those clouded eyes couldn't possibly see her—couldn't possibly track her movement in the shadows—and yet they did." | | 8 | "She didn't draw it—wouldn't, not yet—but the gesture steadied her." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1582 | | adjectiveStacks | 1 | | stackExamples | | 0 | "tight over high cheekbones." |
| | adverbCount | 48 | | adverbRatio | 0.03034134007585335 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.010745891276864728 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 13.28 | | std | 8.54 | | cv | 0.643 | | sampleLengths | | 0 | 18 | | 1 | 28 | | 2 | 27 | | 3 | 10 | | 4 | 2 | | 5 | 26 | | 6 | 29 | | 7 | 2 | | 8 | 1 | | 9 | 37 | | 10 | 23 | | 11 | 2 | | 12 | 2 | | 13 | 6 | | 14 | 16 | | 15 | 24 | | 16 | 21 | | 17 | 22 | | 18 | 2 | | 19 | 3 | | 20 | 14 | | 21 | 15 | | 22 | 18 | | 23 | 14 | | 24 | 7 | | 25 | 19 | | 26 | 5 | | 27 | 19 | | 28 | 12 | | 29 | 14 | | 30 | 12 | | 31 | 13 | | 32 | 8 | | 33 | 20 | | 34 | 16 | | 35 | 4 | | 36 | 15 | | 37 | 19 | | 38 | 3 | | 39 | 8 | | 40 | 3 | | 41 | 11 | | 42 | 4 | | 43 | 15 | | 44 | 16 | | 45 | 12 | | 46 | 7 | | 47 | 5 | | 48 | 4 | | 49 | 17 |
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| 60.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4049586776859504 | | totalSentences | 121 | | uniqueOpeners | 49 | |
| 61.73% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 108 | | matches | | 0 | "Somewhere above, a window was" | | 1 | "Everywhere she looked, she saw" |
| | ratio | 0.019 | |
| 94.07% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 108 | | matches | | 0 | "She checked the worn leather" | | 1 | "She'd watched him through the" | | 2 | "He looked different than he" | | 3 | "He glanced left, then right," | | 4 | "She was trouble." | | 5 | "He set off at a" | | 6 | "Her shoes squelched in puddles" | | 7 | "She reached the corner and" | | 8 | "He descended into the darkness" | | 9 | "She thought about calling for" | | 10 | "Her superintendent already thought she" | | 11 | "She wasn't about to give" | | 12 | "She started down the stairs." | | 13 | "She counted the steps, a" | | 14 | "She could hear footsteps ahead," | | 15 | "She had found something." | | 16 | "She'd heard the name in" | | 17 | "She'd dismissed it as urban" | | 18 | "She took a step forward—and" | | 19 | "She handed him a bone" |
| | ratio | 0.315 | |
| 61.85% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 108 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn pressed her" | | 2 | "She checked the worn leather" | | 3 | "The suspect had entered the" | | 4 | "She'd watched him through the" | | 5 | "The door across the street" | | 6 | "Quinn flattened herself against the" | | 7 | "He looked different than he" | | 8 | "The Saint Christopher medallion around" | | 9 | "He glanced left, then right," | | 10 | "She was trouble." | | 11 | "He set off at a" | | 12 | "Quinn gave him a ten-second" | | 13 | "Her shoes squelched in puddles" | | 14 | "DS Morris would have laughed" | | 15 | "Morris wasn't beside her anymore." | | 16 | "Herrera turned down a side" | | 17 | "The buildings here were older," | | 18 | "Graffiti tagged the lower walls," | | 19 | "She reached the corner and" |
| | ratio | 0.796 | |
| 46.30% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 108 | | matches | | 0 | "Even from this distance, Quinn" |
| | ratio | 0.009 | |
| 8.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 69 | | technicalSentenceCount | 13 | | matches | | 0 | "Detective Harlow Quinn pressed her shoulder against the brick corner of a shuttered newsagent's, her breath coming slow and measured despite the cold that seepe…" | | 1 | "He glanced left, then right, his warm brown eyes scanning the street with an alertness that told Quinn he was expecting trouble." | | 2 | "The rain's roar faded to a distant whisper, replaced by a damp silence that felt heavy, oppressive." | | 3 | "The air smelled different down here—older, somehow, with a metallic undertone that reminded her of the blood bank her grandmother had visited in her final years…" | | 4 | "Quinn rested her hand on the wall to steady herself, feeling moisture that was too thick to be simple condensation." | | 5 | "Vendors called out in languages she didn't recognize, their voices merging into a low hum that echoed off the vaulted ceiling." | | 6 | "Beyond her, an elderly man was negotiating over something that looked disturbingly like a human hand—until Quinn blinked and realized it was made of copper, art…" | | 7 | "Everywhere she looked, she saw goods that defied easy categorization: books whose pages turned themselves, jewelry that floated above velvet cushions, bottles l…" | | 8 | "She'd heard the name in whispers during her investigation, always from informants who refused to elaborate, who looked at her with something like pity before cl…" | | 9 | "She'd dismissed it as urban legend, another layer of the supernatural nonsense that had infected her case files since Morris died." | | 10 | "She could feel it in the sharp ache behind her eyes, the same sensation that had haunted her for three years whenever she got close to something that mattered." | | 11 | "The woman smiled, revealing teeth that were too sharp, too numerous." | | 12 | "She'd faced terrorists, rioters, a man with a knife who'd been high on something that made him strong enough to throw her through a window." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice carrying across the distance with unnatural clarity" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.429 | | leniency | 0.857 | | rawRatio | 0 | | effectiveRatio | 0 | |