| 57.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "Quinn kicked aside [aside]" |
| | dialogueSentences | 11 | | tagDensity | 0.636 | | leniency | 1 | | rawRatio | 0.143 | | effectiveRatio | 0.143 | |
| 92.87% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 701 | | 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) | |
| 64.34% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 701 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "scanned" | | 1 | "echoes" | | 2 | "satin" | | 3 | "velvet" | | 4 | "dancing" |
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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 | 32 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 32 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 44.33% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 35 | | gibberishSentences | 3 | | adjustedGibberishSentences | 3 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 99 | | ratio | 0.086 | | matches | | 0 | "\"Textbook b teljesen szag osad├ parviennent.\\\"En'nde Seconde Hand.\\\"Blonde.\"M├ ór किसом ├ ressāk/api\\'á mo\\d\\.tv-m.azure.xyz/video/12." | | 1 | "Quinn kicked aside the strewn debris.A prescription bottle rolled past her soiled VolукPeaceful chopped ice.A blurred orange body hung above the black-walled stage, bathed in blood…" | | 2 | "Quinn reached for the bloodstained VR headset, Then it all goes vamanosPer savory, steaming borsht in dark g 감각蒂드ited together diamond ring in this clearing oeats laden with dark f…" |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 703 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 78.32% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 558 | | uniqueNames | 16 | | maxNameDensity | 1.43 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Underground | 1 | | Harlow | 1 | | Quinn | 8 | | Autumn | 1 | | Equinox | 1 | | Operation | 1 | | Russian | 1 | | Toilets | 1 | | Stalinchippendale | 1 | | Wicked | 1 | | Julieta | 1 | | Lopez | 1 | | Bruno | 1 | | Soin | 1 | | Gonzalez | 1 | | Ustraight | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Operation" | | 3 | "Toilets" | | 4 | "Julieta" | | 5 | "Lopez" | | 6 | "Bruno" | | 7 | "Soin" | | 8 | "Gonzalez" | | 9 | "Ustraight" |
| | places | | | globalScore | 0.783 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 29 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 703 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 35 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 14 | | mean | 50.21 | | std | 28.98 | | cv | 0.577 | | sampleLengths | | 0 | 56 | | 1 | 29 | | 2 | 27 | | 3 | 59 | | 4 | 46 | | 5 | 18 | | 6 | 25 | | 7 | 29 | | 8 | 16 | | 9 | 51 | | 10 | 66 | | 11 | 98 | | 12 | 65 | | 13 | 118 |
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| 94.30% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 32 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 95 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 35 | | ratio | 0.057 | | matches | | 0 | "They'd found her here — resulted stolen from the city morgue before anyone could properly identify her, missing since Autumn Equinox." | | 1 | "They'd found her body in the club storage closetLibrary, police reports and the owner's story of a recently hired dancer who'd been .The clubteens, Julieta Lopez was — 12, blonde hair, brown eyes.Quinn blamed the owner, Bruno acquiring fake IDs.\"There are no children here,\" hundreds of earrings,\"Won't get today,\" and hooked some poor kid as an altar at DJ Soin's stripped singer of $87 all." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 449 | | adjectiveStacks | 1 | | stackExamples | | 0 | "conscious drug-addled clubigion" |
| | adverbCount | 9 | | adverbRatio | 0.0200445434298441 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.008908685968819599 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 35 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 35 | | mean | 20.09 | | std | 21.45 | | cv | 1.068 | | sampleLengths | | 0 | 9 | | 1 | 12 | | 2 | 13 | | 3 | 13 | | 4 | 9 | | 5 | 13 | | 6 | 16 | | 7 | 11 | | 8 | 12 | | 9 | 4 | | 10 | 21 | | 11 | 10 | | 12 | 17 | | 13 | 11 | | 14 | 15 | | 15 | 10 | | 16 | 6 | | 17 | 9 | | 18 | 6 | | 19 | 18 | | 20 | 3 | | 21 | 13 | | 22 | 9 | | 23 | 29 | | 24 | 16 | | 25 | 13 | | 26 | 12 | | 27 | 2 | | 28 | 14 | | 29 | 10 | | 30 | 66 | | 31 | 98 | | 32 | 65 | | 33 | 60 | | 34 | 58 |
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| 85.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5142857142857142 | | totalSentences | 35 | | uniqueOpeners | 18 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 31 | | matches | (empty) | | ratio | 0 | |
| 65.16% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 31 | | matches | | 0 | "She breathed through her mouth" | | 1 | "Her rain boots crunched over" | | 2 | "She flashed her badge at" | | 3 | "She tugged on her black" | | 4 | "They'd found her here —" | | 5 | "She was barefoot, wearing her" | | 6 | "Her 14-year-old eyes gazed sightless" | | 7 | "They'd been out to her" | | 8 | "She examined the disc-shaped breast" | | 9 | "She'd puked the first time" | | 10 | "She pulled out a miniature" | | 11 | "They'd found her body in" |
| | ratio | 0.387 | |
| 8.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 28 | | totalSentences | 31 | | matches | | 0 | "The abandoned Underground station reeked" | | 1 | "Detective Harlow Quinn scanned the" | | 2 | "The tracks ahead disappeared into" | | 3 | "She breathed through her mouth" | | 4 | "Her rain boots crunched over" | | 5 | "She flashed her badge at" | | 6 | "The officer shot back a" | | 7 | "She tugged on her black" | | 8 | "They'd found her here —" | | 9 | "She was barefoot, wearing her" | | 10 | "Quinn pulled out the satin" | | 11 | "The shivering young woman wore" | | 12 | "Punctures littered her bare head," | | 13 | "Gashes marred her wrists and" | | 14 | "Her 14-year-old eyes gazed sightless" | | 15 | "Girl's still had cat pussy" | | 16 | "the primary medical examiner said," | | 17 | "Quinn nodded grimly." | | 18 | "They'd been out to her" | | 19 | "She examined the disc-shaped breast" |
| | ratio | 0.903 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 31 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 17 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 11 | | tagDensity | 0.091 | | leniency | 0.182 | | rawRatio | 0 | | effectiveRatio | 0 | |