| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 2 | | adverbTags | | 0 | "Eva said quietly [quietly]" | | 1 | "She turned back [back]" |
| | dialogueSentences | 52 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0.1 | | effectiveRatio | 0.077 | |
| 79.20% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1442 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "utterly" | | 1 | "loosely" | | 2 | "slowly" | | 3 | "carefully" | | 4 | "gently" |
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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) | |
| 47.99% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1442 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "footsteps" | | 1 | "echoed" | | 2 | "processed" | | 3 | "methodical" | | 4 | "glinting" | | 5 | "resolved" | | 6 | "etched" | | 7 | "firmly" | | 8 | "navigating" | | 9 | "whisper" | | 10 | "raced" | | 11 | "standard" | | 12 | "almost alive" | | 13 | "shimmered" |
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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 | 87 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 87 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 118 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1417 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 926 | | uniqueNames | 11 | | maxNameDensity | 1.84 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 17 | | Tube | 1 | | Met | 1 | | Chandra | 5 | | Kapoor | 1 | | Fingers | 1 | | London | 1 | | Eva | 8 | | Morris | 3 | | Detective | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Met" | | 3 | "Chandra" | | 4 | "Kapoor" | | 5 | "Fingers" | | 6 | "Eva" | | 7 | "Morris" |
| | places | | | globalScore | 0.582 | | windowScore | 0.5 | |
| 65.25% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed somehow deeper than the rest" | | 1 | "as if navigating a church" |
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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 | 1417 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 27.25 | | std | 20.49 | | cv | 0.752 | | sampleLengths | | 0 | 68 | | 1 | 40 | | 2 | 79 | | 3 | 49 | | 4 | 28 | | 5 | 34 | | 6 | 38 | | 7 | 12 | | 8 | 22 | | 9 | 24 | | 10 | 5 | | 11 | 61 | | 12 | 49 | | 13 | 5 | | 14 | 11 | | 15 | 11 | | 16 | 10 | | 17 | 6 | | 18 | 1 | | 19 | 37 | | 20 | 1 | | 21 | 39 | | 22 | 21 | | 23 | 44 | | 24 | 15 | | 25 | 54 | | 26 | 45 | | 27 | 7 | | 28 | 29 | | 29 | 18 | | 30 | 12 | | 31 | 7 | | 32 | 46 | | 33 | 4 | | 34 | 47 | | 35 | 17 | | 36 | 49 | | 37 | 12 | | 38 | 58 | | 39 | 60 | | 40 | 11 | | 41 | 33 | | 42 | 1 | | 43 | 2 | | 44 | 12 | | 45 | 31 | | 46 | 26 | | 47 | 66 | | 48 | 23 | | 49 | 13 |
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| 93.16% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 87 | | matches | | 0 | "was—sat" | | 1 | "was frozen" | | 2 | "was etched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 164 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 118 | | ratio | 0.093 | | matches | | 0 | "The lift hadn't worked in forty years, so Harlow Quinn took the stairs—eighteen flights down to a station that shouldn't exist on any Tube map." | | 1 | "But this—whatever this was—sat wrong in her chest like a bone splinter working its way toward her heart." | | 2 | "A man, mid-thirties, dressed in clothes that didn't belong to any decade she recognized—a charcoal coat with unusual buckles, boots polished to a military shine." | | 3 | "He'd been with her for two years now—eager, methodical, and utterly incapable of seeing anything that didn't fit into neat categories." | | 4 | "At the far end, something glinted—metal, maybe, catching the weak light." | | 5 | "Quinn moved toward the glinting object, her footsteps muffled now by accumulated debris—rotted newspapers, scattered detritus, the occasional skeleton of a rat." | | 6 | "The face was etched with symbols she didn't recognize—lines and curves that seemed to shift in the dim light, though she knew that was a trick of exhaustion." | | 7 | "She ran her hand across the surface, feeling for anything unusual—loose mortar, a draft, anything." | | 8 | "But as she stood there, she felt it—a vibration so faint it might have been her imagination." | | 9 | "She looked entirely out of place—a professor dragged into a nightmare." | | 10 | "But three years ago, her partner Morris had died on a case that made no sense—bodies found in sealed rooms, witnesses who remembered nothing, a darkness that the surviving officers couldn't describe." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 940 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.03404255319148936 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.013829787234042552 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 118 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 118 | | mean | 12.01 | | std | 8.14 | | cv | 0.678 | | sampleLengths | | 0 | 25 | | 1 | 18 | | 2 | 25 | | 3 | 7 | | 4 | 15 | | 5 | 18 | | 6 | 17 | | 7 | 25 | | 8 | 20 | | 9 | 3 | | 10 | 2 | | 11 | 12 | | 12 | 13 | | 13 | 21 | | 14 | 15 | | 15 | 19 | | 16 | 5 | | 17 | 4 | | 18 | 5 | | 19 | 29 | | 20 | 7 | | 21 | 20 | | 22 | 11 | | 23 | 8 | | 24 | 4 | | 25 | 22 | | 26 | 14 | | 27 | 10 | | 28 | 5 | | 29 | 22 | | 30 | 23 | | 31 | 16 | | 32 | 28 | | 33 | 21 | | 34 | 5 | | 35 | 4 | | 36 | 7 | | 37 | 4 | | 38 | 7 | | 39 | 4 | | 40 | 6 | | 41 | 6 | | 42 | 1 | | 43 | 8 | | 44 | 14 | | 45 | 15 | | 46 | 1 | | 47 | 17 | | 48 | 9 | | 49 | 7 |
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| 64.69% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.423728813559322 | | totalSentences | 118 | | uniqueOpeners | 50 | |
| 83.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 80 | | matches | | 0 | "Then at the wall." | | 1 | "Then at the body of" |
| | ratio | 0.025 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 80 | | matches | | 0 | "Her footsteps echoed off tiled" | | 1 | "She'd been a detective for" | | 2 | "She'd seen bodies in alleyways," | | 3 | "His face was frozen in" | | 4 | "He'd been with her for" | | 5 | "She gestured at the face," | | 6 | "She didn't touch it, crouching" | | 7 | "He joined her, squinting." | | 8 | "He shook his head." | | 9 | "She ran her hand across" | | 10 | "She looked entirely out of" | | 11 | "She carried herself like someone" | | 12 | "Her face went pale." | | 13 | "She crouched but didn't touch" | | 14 | "She looked up at Quinn" | | 15 | "She trailed off, pressing her" | | 16 | "She turned back to Quinn" | | 17 | "She glanced at the body" | | 18 | "She'd buried that." | | 19 | "They were always the same." |
| | ratio | 0.288 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 80 | | matches | | 0 | "The lift hadn't worked in" | | 1 | "Her footsteps echoed off tiled" | | 2 | "The Met's forensic team had" | | 3 | "She'd been a detective for" | | 4 | "She'd seen bodies in alleyways," | | 5 | "The body lay near what" | | 6 | "A man, mid-thirties, dressed in" | | 7 | "His face was frozen in" | | 8 | "The forensic team had already" | | 9 | "He'd been with her for" | | 10 | "Quinn crouched, studying the victim's" | | 11 | "Fingers curled loosely around nothing." | | 12 | "Chandra flipped through his notes." | | 13 | "Quinn stood, brushing dust from" | | 14 | "The platform stretched in both" | | 15 | "She gestured at the face," | | 16 | "Chandra frowned but said nothing." | | 17 | "Quinn moved toward the glinting" | | 18 | "The object resolved itself as" | | 19 | "She didn't touch it, crouching" |
| | ratio | 0.8 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 5 | | matches | | 0 | "A man, mid-thirties, dressed in clothes that didn't belong to any decade she recognized—a charcoal coat with unusual buckles, boots polished to a military shine…" | | 1 | "He'd been with her for two years now—eager, methodical, and utterly incapable of seeing anything that didn't fit into neat categories." | | 2 | "The woman descended the stairs slowly, carefully, as if navigating a church." | | 3 | "But three years ago, her partner Morris had died on a case that made no sense—bodies found in sealed rooms, witnesses who remembered nothing, a darkness that th…" | | 4 | "Then at the body of a man who had died reaching for something impossible." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "her posture suggested (suggest)" | | 1 | "She pressed (press)" |
| | dialogueSentences | 52 | | tagDensity | 0.115 | | leniency | 0.231 | | rawRatio | 0.333 | | effectiveRatio | 0.077 | |