| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 1 | | adverbTags | | 0 | "she called again [again]" |
| | dialogueSentences | 5 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0.333 | | effectiveRatio | 0.333 | |
| 93.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1637 | | totalAiIsmAdverbs | 2 | | 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) | |
| 63.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1637 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "fractured" | | 1 | "footsteps" | | 2 | "echoed" | | 3 | "flicker" | | 4 | "stomach" | | 5 | "velvet" | | 6 | "glinting" | | 7 | "flicked" | | 8 | "echoing" | | 9 | "trembled" | | 10 | "pounding" |
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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 | 144 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 144 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 146 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 4 | | totalWords | 1622 | | ratio | 0.002 | | matches | | 0 | "Don’t be stupid, Quinn." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 94.13% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 1611 | | uniqueNames | 29 | | maxNameDensity | 1.12 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 2 | | Quinn | 18 | | Raven | 1 | | Nest | 1 | | Silas | 1 | | Veil | 2 | | Market | 2 | | Glock | 2 | | Maglite | 1 | | Morris | 7 | | Charing | 1 | | Cross | 1 | | Road | 1 | | Camden | 3 | | High | 1 | | Street | 1 | | Northern | 1 | | Line | 1 | | London | 1 | | Affairs | 1 | | Saint | 1 | | Christopher | 1 | | Herrera | 2 | | Organized | 1 | | Crime | 1 | | Special | 1 | | Operations | 1 | | Detective | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Silas" | | 3 | "Morris" | | 4 | "Affairs" | | 5 | "Saint" | | 6 | "Christopher" | | 7 | "Herrera" | | 8 | "Operations" |
| | places | | 0 | "Soho" | | 1 | "Raven" | | 2 | "Charing" | | 3 | "Cross" | | 4 | "Road" | | 5 | "Camden" | | 6 | "High" | | 7 | "Street" | | 8 | "London" |
| | globalScore | 0.941 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 105 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a child until you saw its eye" | | 1 | "not quite his" |
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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 | 1622 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 146 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 42.68 | | std | 27.13 | | cv | 0.635 | | sampleLengths | | 0 | 76 | | 1 | 79 | | 2 | 7 | | 3 | 81 | | 4 | 75 | | 5 | 6 | | 6 | 5 | | 7 | 61 | | 8 | 66 | | 9 | 42 | | 10 | 54 | | 11 | 78 | | 12 | 70 | | 13 | 8 | | 14 | 59 | | 15 | 95 | | 16 | 10 | | 17 | 76 | | 18 | 46 | | 19 | 53 | | 20 | 15 | | 21 | 16 | | 22 | 41 | | 23 | 56 | | 24 | 21 | | 25 | 27 | | 26 | 51 | | 27 | 62 | | 28 | 6 | | 29 | 13 | | 30 | 54 | | 31 | 11 | | 32 | 44 | | 33 | 64 | | 34 | 41 | | 35 | 6 | | 36 | 4 | | 37 | 43 |
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| 97.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 144 | | matches | | 0 | "was plastered" | | 1 | "been welded" | | 2 | "been transformed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 260 | | matches | | 0 | "was heading" | | 1 | "was sprinting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 2 | | flaggedSentences | 14 | | totalSentences | 146 | | ratio | 0.096 | | matches | | 0 | "Ahead, no more than twenty metres, the suspect’s silhouette cut through the downpour—lean, hooded, moving with the fluid grace of someone who knew these streets better than the rats." | | 1 | "Her right hand hovered near the Glock holstered at her hip; the left gripped the handle of the small Maglite in her pocket." | | 2 | "The worn leather watch on her wrist—Morris’s old watch—banged against her forearm with every stride." | | 3 | "The salt-and-pepper stubble of her closely cropped hair was plastered to her scalp; rainwater streamed into her eyes and down the sharp line of her jaw." | | 4 | "For a split second their eyes met—his hidden in the shadow of the hood, hers narrowed against the sting of rain." | | 5 | "The underground air hit her like a damp fist—cool, heavy with the scent of mildew, ozone, and something sharper." | | 6 | "She had always written it off as urban legend—until Morris died." | | 7 | "Ahead, light bloomed—sickly violet and amber, the flicker of lanterns and strings of fairy lights powered by god-knew-what." | | 8 | "She saw him pause at a stall draped in black velvet, exchange a quick word with the vendor—an older man with a Saint Christopher medallion glinting at his throat." | | 9 | "The rational part of her brain—the part that had survived eighteen years on the force—screamed that she was out of her depth." | | 10 | "But the other part—the part that still woke screaming from dreams of Morris’s stolen face—refused to let the trail go cold." | | 11 | "She saw his face—sharp features, dark stubble, eyes that reflected her torch beam like an animal’s." | | 12 | "Somewhere deep inside it, metal clanged softly—once, twice—like a door closing." | | 13 | "Of the way his blood had looked on the warehouse floor—black in the moonlight, wrong somehow." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1635 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 49 | | adverbRatio | 0.02996941896024465 | | lyAdverbCount | 16 | | lyAdverbRatio | 0.009785932721712538 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 146 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 146 | | mean | 11.11 | | std | 7.21 | | cv | 0.649 | | sampleLengths | | 0 | 21 | | 1 | 26 | | 2 | 29 | | 3 | 12 | | 4 | 24 | | 5 | 19 | | 6 | 19 | | 7 | 5 | | 8 | 6 | | 9 | 1 | | 10 | 6 | | 11 | 15 | | 12 | 10 | | 13 | 23 | | 14 | 15 | | 15 | 7 | | 16 | 5 | | 17 | 9 | | 18 | 15 | | 19 | 12 | | 20 | 10 | | 21 | 3 | | 22 | 26 | | 23 | 4 | | 24 | 2 | | 25 | 5 | | 26 | 5 | | 27 | 18 | | 28 | 21 | | 29 | 4 | | 30 | 13 | | 31 | 11 | | 32 | 21 | | 33 | 15 | | 34 | 4 | | 35 | 15 | | 36 | 9 | | 37 | 12 | | 38 | 8 | | 39 | 13 | | 40 | 19 | | 41 | 1 | | 42 | 1 | | 43 | 2 | | 44 | 11 | | 45 | 20 | | 46 | 13 | | 47 | 7 | | 48 | 9 | | 49 | 4 |
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| 55.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.363013698630137 | | totalSentences | 146 | | uniqueOpeners | 53 | |
| 98.77% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 135 | | matches | | 0 | "Just rain and neon and" | | 1 | "Then he plunged down a" | | 2 | "Then he stepped into the" | | 3 | "Somewhere deep inside it, metal" |
| | ratio | 0.03 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 135 | | matches | | 0 | "She had picked him up" | | 1 | "He matched the description from" | | 2 | "She had followed at a" | | 3 | "she shouted, voice raw" | | 4 | "He veered left onto a" | | 5 | "Her right hand hovered near" | | 6 | "She refused to think about" | | 7 | "Her lungs burned." | | 8 | "He was heading north." | | 9 | "She knew what that meant." | | 10 | "He cut through the throng" | | 11 | "They led to one of" | | 12 | "She slowed only long enough" | | 13 | "She took them two at" | | 14 | "Her torch beam danced across" | | 15 | "His footsteps echoed in the" | | 16 | "She knew the stories." | | 17 | "She had always written it" | | 18 | "She had been chasing the" | | 19 | "She saw him pause at" |
| | ratio | 0.296 | |
| 63.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 107 | | totalSentences | 135 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn sprinted through" | | 2 | "She had picked him up" | | 3 | "The moment the man had" | | 4 | "He matched the description from" | | 5 | "She had followed at a" | | 6 | "she shouted, voice raw" | | 7 | "The man didn’t even glance" | | 8 | "He veered left onto a" | | 9 | "Quinn followed, coat flapping behind" | | 10 | "Her right hand hovered near" | | 11 | "The worn leather watch on" | | 12 | "She refused to think about" | | 13 | "The alley spat them out" | | 14 | "Traffic hissed past, tyres carving" | | 15 | "The suspect darted between two" | | 16 | "Quinn vaulted a low barrier," | | 17 | "Her lungs burned." | | 18 | "The salt-and-pepper stubble of her" | | 19 | "He was heading north." |
| | ratio | 0.793 | |
| 74.07% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 135 | | matches | | 0 | "Now the chase was on." | | 1 | "If she went in there" |
| | ratio | 0.015 | |
| 18.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 69 | | technicalSentenceCount | 12 | | matches | | 0 | "The rain came down in sheets, turning the Soho pavements into black mirrors that fractured the neon glow of every sign." | | 1 | "Detective Harlow Quinn sprinted through the deluge, her breath sawing in her lungs, leather-soled boots splashing up filthy water that soaked the cuffs of her t…" | | 2 | "Ahead, no more than twenty metres, the suspect’s silhouette cut through the downpour—lean, hooded, moving with the fluid grace of someone who knew these streets…" | | 3 | "He veered left onto a narrow alley that smelled of rotting vegetables and wet brick." | | 4 | "Traffic hissed past, tyres carving wakes through puddles that reflected the taillights like smeared blood." | | 5 | "Quinn kept pace, badge now in her left hand so any uniform who saw them would know she was the law." | | 6 | "An underground black market that shifted location with every full moon, reachable only with a bone token, selling things that should not exist." | | 7 | "Vendors hunched behind tables laden with glass vials that swirled with captive lightning, parchment scrolls that moved as if alive, and iron cages containing cr…" | | 8 | "A woman with too many joints in her fingers haggled over a fist-sized ruby that bled slow tears of mercury." | | 9 | "A thing that looked like a child until you saw its eyes offered her a bone token on a silver chain." | | 10 | "She saw his face—sharp features, dark stubble, eyes that reflected her torch beam like an animal’s." | | 11 | "The tunnel swallowed her whole, and the rain above continued to fall on a city that had no idea what moved beneath its streets." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 2 | | matches | | 0 | "she shouted, voice raw" | | 1 | "she called again, voice echoing off the curved ceiling" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she shouted (shout)" | | 1 | "she muttered (mutter)" |
| | dialogueSentences | 5 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0.667 | | effectiveRatio | 0.667 | |