| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.32 | | leniency | 0.64 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.11% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1517 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "completely" | | 1 | "carefully" | | 2 | "very" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 67.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1517 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pawn" | | 1 | "flickered" | | 2 | "scanning" | | 3 | "navigated" | | 4 | "perfect" | | 5 | "weight" | | 6 | "familiar" | | 7 | "silence" | | 8 | "warmth" |
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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 | 128 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 128 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 145 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 58 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1500 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 1253 | | uniqueNames | 14 | | maxNameDensity | 0.8 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Herrera" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 10 | | Marcus | 1 | | Webb | 7 | | Morris | 3 | | London | 1 | | Veil | 1 | | Market | 1 | | Raven | 1 | | Nest | 1 | | Saint | 1 | | Christopher | 1 | | Herrera | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Marcus" | | 3 | "Webb" | | 4 | "Morris" | | 5 | "Market" | | 6 | "Raven" | | 7 | "Saint" | | 8 | "Christopher" | | 9 | "Herrera" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 5 | | matches | | 0 | "covers that seemed to shift when she looked at them directly" | | 1 | "felt like eight hours" | | 2 | "orb that seemed to contain a storm" | | 3 | "looked like crow feathers" | | 4 | "as if coming from very far away" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.667 | | wordCount | 1500 | | matches | | 0 | "Not her usual fare, but DS Morris had been looking into something similar before he" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 145 | | matches | | 0 | "feeling that his" | | 1 | "heard that name" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 23.08 | | std | 21.48 | | cv | 0.931 | | sampleLengths | | 0 | 74 | | 1 | 84 | | 2 | 9 | | 3 | 56 | | 4 | 11 | | 5 | 45 | | 6 | 5 | | 7 | 16 | | 8 | 5 | | 9 | 10 | | 10 | 87 | | 11 | 2 | | 12 | 52 | | 13 | 6 | | 14 | 87 | | 15 | 31 | | 16 | 26 | | 17 | 46 | | 18 | 30 | | 19 | 13 | | 20 | 24 | | 21 | 2 | | 22 | 62 | | 23 | 11 | | 24 | 23 | | 25 | 16 | | 26 | 19 | | 27 | 17 | | 28 | 10 | | 29 | 6 | | 30 | 7 | | 31 | 8 | | 32 | 24 | | 33 | 6 | | 34 | 22 | | 35 | 2 | | 36 | 38 | | 37 | 2 | | 38 | 2 | | 39 | 43 | | 40 | 5 | | 41 | 34 | | 42 | 5 | | 43 | 2 | | 44 | 35 | | 45 | 43 | | 46 | 27 | | 47 | 9 | | 48 | 16 | | 49 | 19 |
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| 99.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 128 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 212 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 145 | | ratio | 0.069 | | matches | | 0 | "But the pattern was there—bodies found with strange markings, shipments that appeared and disappeared from locked warehouses, a network that operated in shadows most people didn't know existed." | | 1 | "Cold air rushed up from below, carrying a smell she couldn't place—something herbal, something ancient, something that made the hairs on her arms stand up." | | 2 | "The rational part of her brain—the part that had kept her alive through eighteen years of London's worst—screamed at her to wait." | | 3 | "The architecture was wrong—arched ceilings, walls lined with symbols she didn't recognize, the faint hum of something electrical despite the ancient appearance." | | 4 | "Vendors called out in languages she didn't understand—some throaty, some melodic, some sounding like nothing human at all." | | 5 | "Stalls gave way to narrow passages, then opened again into different sections—a food court where the meat on spits sizzled with an iridescent sheen, a gaming den where figures hunched over tables playing cards that glowed, an auction house where a crowd gathered around a raised platform displaying a glass orb that seemed to contain a storm." | | 6 | "A figure stepped into her path—tall, skeletal, wearing a coat made of what looked like crow feathers." | | 7 | "Webb had reached the far exit—a door set into the stone, covered in the same strange symbols as the walls." | | 8 | "A sign flickered above a door ahead—green neon, distinctive." | | 9 | "Somewhere above, a church bell rang—the hour, she couldn't tell, the sound distorted as if coming from very far away." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1267 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.026045777426992895 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004735595895816891 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 145 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 145 | | mean | 10.34 | | std | 8.87 | | cv | 0.857 | | sampleLengths | | 0 | 17 | | 1 | 4 | | 2 | 20 | | 3 | 33 | | 4 | 8 | | 5 | 12 | | 6 | 28 | | 7 | 8 | | 8 | 28 | | 9 | 9 | | 10 | 9 | | 11 | 28 | | 12 | 4 | | 13 | 15 | | 14 | 5 | | 15 | 6 | | 16 | 2 | | 17 | 18 | | 18 | 25 | | 19 | 3 | | 20 | 2 | | 21 | 4 | | 22 | 12 | | 23 | 5 | | 24 | 2 | | 25 | 8 | | 26 | 10 | | 27 | 22 | | 28 | 4 | | 29 | 14 | | 30 | 37 | | 31 | 2 | | 32 | 9 | | 33 | 5 | | 34 | 16 | | 35 | 22 | | 36 | 6 | | 37 | 8 | | 38 | 18 | | 39 | 18 | | 40 | 4 | | 41 | 15 | | 42 | 6 | | 43 | 18 | | 44 | 3 | | 45 | 15 | | 46 | 13 | | 47 | 21 | | 48 | 5 | | 49 | 14 |
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| 57.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3724137931034483 | | totalSentences | 145 | | uniqueOpeners | 54 | |
| 29.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 113 | | matches | | 0 | "Somewhere above, a church bell" |
| | ratio | 0.009 | |
| 92.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 113 | | matches | | 0 | "Her boots splashed through puddles" | | 1 | "She'd been tailing Marcus Webb" | | 2 | "She moved forward, each step" | | 3 | "Her radio crackled." | | 4 | "She keyed the transmitter." | | 5 | "She looked back at the" | | 6 | "Her torch flickered, then steadied." | | 7 | "She rounded a corner and" | | 8 | "She'd heard whispers of it" | | 9 | "Her suspect stood at a" | | 10 | "He hadn't seen her yet." | | 11 | "Her heart hammered against her" | | 12 | "She didn't react." | | 13 | "His gaze swept over her" | | 14 | "She pressed herself against a" | | 15 | "He knew this place." | | 16 | "He'd navigated it before." | | 17 | "She held up her warrant" | | 18 | "She didn't wait to ask" | | 19 | "He grabbed the handle." |
| | ratio | 0.319 | |
| 48.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 93 | | totalSentences | 113 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn ran." | | 2 | "Her boots splashed through puddles" | | 3 | "She'd been tailing Marcus Webb" | | 4 | "The supernatural element she still" | | 5 | "The suspect vanished into the" | | 6 | "Quinn slowed, pulling her torch" | | 7 | "The beam cut through the" | | 8 | "She moved forward, each step" | | 9 | "A sound to her left." | | 10 | "The scrape of shoe on" | | 11 | "The torch followed the noise" | | 12 | "Her radio crackled." | | 13 | "She keyed the transmitter." | | 14 | "The suspect would be long" | | 15 | "She looked back at the" | | 16 | "The rational part of her" | | 17 | "This wasn't her territory." | | 18 | "Whatever was down there, it" | | 19 | "The stairs were stone, older" |
| | ratio | 0.823 | |
| 44.25% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 113 | | matches | | 0 | "If he reached the exit," |
| | ratio | 0.009 | |
| 31.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 7 | | matches | | 0 | "Low-level enforcer for a operation that moved magical artifacts through the city." | | 1 | "But the pattern was there—bodies found with strange markings, shipments that appeared and disappeared from locked warehouses, a network that operated in shadows…" | | 2 | "Cold air rushed up from below, carrying a smell she couldn't place—something herbal, something ancient, something that made the hairs on her arms stand up." | | 3 | "The rational part of her brain—the part that had kept her alive through eighteen years of London's worst—screamed at her to wait." | | 4 | "Stalls stretched in rows beneath lanterns that burned with flameless light, their glow shifting between blue and amber." | | 5 | "Stalls gave way to narrow passages, then opened again into different sections—a food court where the meat on spits sizzled with an iridescent sheen, a gaming de…" | | 6 | "Somewhere above, a church bell rang—the hour, she couldn't tell, the sound distorted as if coming from very far away." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.16 | | leniency | 0.32 | | rawRatio | 0 | | effectiveRatio | 0 | |