| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 7 | | adverbTags | | 0 | "warnings hung limply [limply]" | | 1 | "His eyes crinkled slightly [slightly]" | | 2 | "she said finally [finally]" | | 3 | "she asked again [again]" | | 4 | "Tomás said calmly [calmly]" | | 5 | "Tomás glanced around [around]" | | 6 | "she said finally [finally]" |
| | dialogueSentences | 60 | | tagDensity | 0.367 | | leniency | 0.733 | | rawRatio | 0.318 | | effectiveRatio | 0.233 | |
| 59.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1720 | | totalAiIsmAdverbs | 14 | | found | | | highlights | | 0 | "quickly" | | 1 | "suddenly" | | 2 | "cautiously" | | 3 | "carefully" | | 4 | "very" | | 5 | "slightly" |
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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) | |
| 85.47% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1720 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "etched" | | 1 | "perfect" | | 2 | "shimmered" | | 3 | "flickered" | | 4 | "scanning" |
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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 | 1 | | narrationSentences | 132 | | matches | | 0 | "a surge of frustration" |
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| 88.74% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 132 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "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 | 167 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1732 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 66 | | wordCount | 1259 | | uniqueNames | 17 | | maxNameDensity | 2.54 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Tomás" | | discoveredNames | | Harlow | 2 | | Quinn | 32 | | Raven | 1 | | Nest | 1 | | Soho | 1 | | Camden | 2 | | High | 1 | | Street | 1 | | Tube | 2 | | Morris | 3 | | Saint | 1 | | Christopher | 1 | | Spanish | 1 | | English | 1 | | Tomás | 13 | | Market | 1 | | Detective | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" | | 3 | "Saint" | | 4 | "Christopher" | | 5 | "Tomás" | | 6 | "Market" |
| | places | | 0 | "Raven" | | 1 | "Soho" | | 2 | "Camden" | | 3 | "High" | | 4 | "Street" |
| | globalScore | 0.229 | | windowScore | 0 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 93 | | glossingSentenceCount | 6 | | matches | | 0 | "sign that seemed to attract an unusual clientele" | | 1 | "quite solve" | | 2 | "quite make out from her position" | | 3 | "looked like antique timepieces, except th" | | 4 | "seemed permanently etched into it" | | 5 | "looked like pieces of bone carved with sy" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.577 | | wordCount | 1732 | | matches | | 0 | "not harsh fluorescents, but a warm, flickering glow" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 167 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 78 | | mean | 22.21 | | std | 15.6 | | cv | 0.703 | | sampleLengths | | 0 | 49 | | 1 | 22 | | 2 | 49 | | 3 | 71 | | 4 | 19 | | 5 | 31 | | 6 | 17 | | 7 | 35 | | 8 | 4 | | 9 | 37 | | 10 | 39 | | 11 | 19 | | 12 | 37 | | 13 | 29 | | 14 | 32 | | 15 | 7 | | 16 | 42 | | 17 | 28 | | 18 | 53 | | 19 | 29 | | 20 | 52 | | 21 | 44 | | 22 | 7 | | 23 | 24 | | 24 | 41 | | 25 | 12 | | 26 | 42 | | 27 | 7 | | 28 | 23 | | 29 | 23 | | 30 | 5 | | 31 | 16 | | 32 | 11 | | 33 | 21 | | 34 | 7 | | 35 | 11 | | 36 | 7 | | 37 | 11 | | 38 | 18 | | 39 | 4 | | 40 | 29 | | 41 | 7 | | 42 | 23 | | 43 | 6 | | 44 | 19 | | 45 | 16 | | 46 | 18 | | 47 | 29 | | 48 | 50 | | 49 | 10 |
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| 97.29% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 132 | | matches | | 0 | "been closed" | | 1 | "been killed" | | 2 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 243 | | matches | | 0 | "was disappearing" | | 1 | "was heading" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 167 | | ratio | 0.066 | | matches | | 0 | "The figure ahead – male, medium build, black hoodie – darted between two parked cars and disappeared down a narrow alleyway." | | 1 | "Quinn had been watching the place for weeks – a dimly lit Soho bar with its distinctive green neon sign that seemed to attract an unusual clientele." | | 2 | "Military precision in movement – that's what her file said." | | 3 | "This chase had pattern and purpose – not random panic." | | 4 | "A gust of warm air rose from the abandoned station entrance, carrying unfamiliar scents – incense, exotic spices, something metallic." | | 5 | "Graffiti covered the walls – but not ordinary tags." | | 6 | "But her radio was gone, and this – whatever this was – might be connected to Morris." | | 7 | "The stairway curved, and suddenly the darkness gave way to light – not harsh fluorescents, but a warm, flickering glow." | | 8 | "People – dozens of them – moved among the stalls, examining wares Quinn couldn't quite make out from her position." | | 9 | "Quinn noticed everyone else carried small objects – what looked like pieces of bone carved with symbols." | | 10 | "He was long gone, but perhaps she'd found something more valuable – a connection to the truth about her partner's fate." |
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| 89.62% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1249 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 60 | | adverbRatio | 0.04803843074459568 | | lyAdverbCount | 30 | | lyAdverbRatio | 0.02401921537229784 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 167 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 167 | | mean | 10.37 | | std | 6.69 | | cv | 0.645 | | sampleLengths | | 0 | 28 | | 1 | 21 | | 2 | 12 | | 3 | 10 | | 4 | 3 | | 5 | 17 | | 6 | 14 | | 7 | 15 | | 8 | 11 | | 9 | 27 | | 10 | 15 | | 11 | 18 | | 12 | 15 | | 13 | 4 | | 14 | 15 | | 15 | 16 | | 16 | 10 | | 17 | 7 | | 18 | 8 | | 19 | 11 | | 20 | 16 | | 21 | 4 | | 22 | 7 | | 23 | 14 | | 24 | 10 | | 25 | 6 | | 26 | 7 | | 27 | 3 | | 28 | 13 | | 29 | 16 | | 30 | 4 | | 31 | 10 | | 32 | 5 | | 33 | 22 | | 34 | 15 | | 35 | 6 | | 36 | 9 | | 37 | 14 | | 38 | 7 | | 39 | 6 | | 40 | 8 | | 41 | 8 | | 42 | 3 | | 43 | 7 | | 44 | 14 | | 45 | 5 | | 46 | 5 | | 47 | 18 | | 48 | 20 | | 49 | 8 |
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| 64.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.41317365269461076 | | totalSentences | 167 | | uniqueOpeners | 69 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 118 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 118 | | matches | | 0 | "She shouted the words more" | | 1 | "She pushed harder, her worn" | | 2 | "She'd been sitting in her" | | 3 | "she panted into her radio" | | 4 | "Her foot caught a slick" | | 5 | "She stumbled, almost went down," | | 6 | "He was heading somewhere specific." | | 7 | "Her service weapon felt reassuringly" | | 8 | "Her partner, DS Morris, had" | | 9 | "She thought about calling for" | | 10 | "She couldn't risk losing the" | | 11 | "She emerged onto a platform," | | 12 | "She moved cautiously onto the" | | 13 | "She turned to find a" | | 14 | "His accent was Spanish, but" | | 15 | "He nodded toward her empty" | | 16 | "His gaze was direct, unnerving" | | 17 | "He extended his hand" | | 18 | "His eyes crinkled slightly at" | | 19 | "He gestured to a bag" |
| | ratio | 0.229 | |
| 32.03% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 101 | | totalSentences | 118 | | matches | | 0 | "Detective Harlow Quinn's heels skidded" | | 1 | "The figure ahead – male," | | 2 | "She shouted the words more" | | 3 | "Nobody running that fast ever" | | 4 | "Quinn's lungs burned." | | 5 | "She pushed harder, her worn" | | 6 | "The rain pelted her face," | | 7 | "The suspect had appeared at" | | 8 | "Quinn had been watching the" | | 9 | "She'd been sitting in her" | | 10 | "Something about his furtive movements," | | 11 | "That's when he'd bolted." | | 12 | "The rain hammered down, turning" | | 13 | "she panted into her radio" | | 14 | "Her foot caught a slick" | | 15 | "She stumbled, almost went down," | | 16 | "The radio clattered to the" | | 17 | "The suspect was disappearing around" | | 18 | "Quinn pushed off the wall" | | 19 | "Military precision in movement –" |
| | ratio | 0.856 | |
| 84.75% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 118 | | matches | | 0 | "Now she found herself sprinting" | | 1 | "Before he disappeared." |
| | ratio | 0.017 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 4 | | matches | | 0 | "Quinn had been watching the place for weeks – a dimly lit Soho bar with its distinctive green neon sign that seemed to attract an unusual clientele." | | 1 | "Quinn followed, raising a hand in apology to the driver who shouted something colorful in response." | | 2 | "Curly dark hair framed a face that might have been handsome if not for the wariness that seemed permanently etched into it." | | 3 | "Quinn hesitated for just a moment before following, her hand resting on her weapon, eyes scanning for the suspect she'd originally pursued." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 33.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 7 | | fancyTags | | 0 | "She shouted (shout)" | | 1 | "she panted (pant)" | | 2 | "she muttered (mutter)" | | 3 | "Quinn corrected (correct)" | | 4 | "she lied (lie)" | | 5 | "Quinn demanded (demand)" | | 6 | "Tomás interrupted (interrupt)" |
| | dialogueSentences | 60 | | tagDensity | 0.233 | | leniency | 0.467 | | rawRatio | 0.5 | | effectiveRatio | 0.233 | |