| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 54 | | tagDensity | 0.259 | | leniency | 0.519 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1555 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "very" | | 2 | "sharply" |
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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) | |
| 48.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1555 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "echoed" | | 1 | "electric" | | 2 | "fluttered" | | 3 | "gloom" | | 4 | "stomach" | | 5 | "flickered" | | 6 | "glinting" | | 7 | "etched" | | 8 | "familiar" | | 9 | "pulse" | | 10 | "quickened" | | 11 | "database" | | 12 | "raced" | | 13 | "whisper" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 108 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 108 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 147 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 19 | | markdownWords | 37 | | totalWords | 1539 | | ratio | 0.024 | | matches | | 0 | "clack" | | 1 | "Camden Town" | | 2 | "11:47 PM" | | 3 | "gone" | | 4 | "Morris." | | 5 | "not" | | 6 | "continuing" | | 7 | "evidence" | | 8 | "smooth" | | 9 | "what" | | 10 | "definitely" | | 11 | "super" | | 12 | "parallel" | | 13 | "\"Crafted by Shade artisans for navigation between realms. Highly illegal. Possession punishable by—\"" | | 14 | "legal" | | 15 | "very" | | 16 | "can" | | 17 | "The Black Market Codex" | | 18 | "12:13 AM." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 1015 | | uniqueNames | 11 | | maxNameDensity | 2.56 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Harlow | 1 | | Quinn | 26 | | Patel | 10 | | British | 1 | | Museum | 1 | | Eva | 11 | | Veil | 1 | | Market | 1 | | Morris | 2 | | Aldwych | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Patel" | | 3 | "Museum" | | 4 | "Eva" | | 5 | "Morris" |
| | places | | | globalScore | 0.219 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 1 | | matches | | 0 | "as if reaching for something just beyond his fingertips" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.65 | | wordCount | 1539 | | matches | | 0 | "not with the usual underground stillness, but with something electric, like the moment before a storm" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 147 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 26.08 | | std | 21.06 | | cv | 0.807 | | sampleLengths | | 0 | 92 | | 1 | 3 | | 2 | 62 | | 3 | 5 | | 4 | 30 | | 5 | 71 | | 6 | 3 | | 7 | 14 | | 8 | 4 | | 9 | 5 | | 10 | 22 | | 11 | 43 | | 12 | 19 | | 13 | 18 | | 14 | 25 | | 15 | 19 | | 16 | 64 | | 17 | 38 | | 18 | 39 | | 19 | 4 | | 20 | 7 | | 21 | 10 | | 22 | 69 | | 23 | 21 | | 24 | 53 | | 25 | 7 | | 26 | 43 | | 27 | 1 | | 28 | 69 | | 29 | 53 | | 30 | 4 | | 31 | 22 | | 32 | 30 | | 33 | 21 | | 34 | 11 | | 35 | 18 | | 36 | 7 | | 37 | 53 | | 38 | 51 | | 39 | 6 | | 40 | 34 | | 41 | 17 | | 42 | 27 | | 43 | 9 | | 44 | 15 | | 45 | 42 | | 46 | 25 | | 47 | 17 | | 48 | 43 | | 49 | 6 |
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| 82.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 108 | | matches | | 0 | "were parted" | | 1 | "were *gone" | | 2 | "was littered" | | 3 | "was etched" | | 4 | "was hunched" | | 5 | "been curled" | | 6 | "been found" |
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| 53.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 182 | | matches | | 0 | "was frowning" | | 1 | "was already walking" | | 2 | "was already shaking" | | 3 | "was hiding" |
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| 6.80% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 147 | | ratio | 0.048 | | matches | | 0 | "The abandoned Tube station smelled of damp concrete and something older—copper, maybe, or the ghost of a thousand hurried commuters." | | 1 | "Quinn adjusted the worn leather watch on her wrist—*11:47 PM*—and strode toward him, her military bearing cutting through the gloom." | | 2 | "Not gouged out, not decayed—just empty sockets, smooth as river stones, as if they’d never been there at all." | | 3 | "The platform was littered with the usual detritus—cigarette butts, a crushed energy drink can, a discarded syringe—but nothing that screamed *evidence*." | | 4 | "She’d seen them before—scrawled in the margins of a case file, maybe, or carved into the underside of a desk in the evidence locker." | | 5 | "She remembered the way the air smelled—old paper and lemon oil—and the way the archivist had looked at her like she was a child asking for the keys to the kingdom." | | 6 | "The illustration was crude but unmistakable—a brass compass, its face etched with the same symbols." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1026 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.025341130604288498 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.00682261208576998 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 147 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 147 | | mean | 10.46 | | std | 7.75 | | cv | 0.741 | | sampleLengths | | 0 | 20 | | 1 | 27 | | 2 | 26 | | 3 | 19 | | 4 | 3 | | 5 | 2 | | 6 | 17 | | 7 | 23 | | 8 | 20 | | 9 | 5 | | 10 | 8 | | 11 | 22 | | 12 | 5 | | 13 | 19 | | 14 | 15 | | 15 | 10 | | 16 | 3 | | 17 | 19 | | 18 | 3 | | 19 | 4 | | 20 | 10 | | 21 | 3 | | 22 | 1 | | 23 | 5 | | 24 | 3 | | 25 | 9 | | 26 | 8 | | 27 | 2 | | 28 | 27 | | 29 | 16 | | 30 | 3 | | 31 | 10 | | 32 | 6 | | 33 | 8 | | 34 | 10 | | 35 | 9 | | 36 | 16 | | 37 | 5 | | 38 | 14 | | 39 | 5 | | 40 | 12 | | 41 | 21 | | 42 | 11 | | 43 | 15 | | 44 | 13 | | 45 | 15 | | 46 | 5 | | 47 | 5 | | 48 | 14 | | 49 | 11 |
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| 57.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3673469387755102 | | totalSentences | 147 | | uniqueOpeners | 54 | |
| 35.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 94 | | matches | | 0 | "Then her light caught something" |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 94 | | matches | | 0 | "He’d cordoned off a section" | | 1 | "His skin was waxy, almost" | | 2 | "They were *gone*." | | 3 | "Her stomach tightened." | | 4 | "She stood slowly, brushing dust" | | 5 | "She tapped it against her" | | 6 | "She turned back to the" | | 7 | "She stepped closer, nudging a" | | 8 | "Its casing was tarnished with" | | 9 | "It didn’t move at all." | | 10 | "She picked up the compass," | | 11 | "She held it up" | | 12 | "She’d seen them before—scrawled in" | | 13 | "Her pulse quickened." | | 14 | "She stood, tucking the compass" | | 15 | "She was already walking toward" | | 16 | "She didn’t believe in coincidences." | | 17 | "She remembered the way the" | | 18 | "She was hunched over a" | | 19 | "Her freckles stood out against" |
| | ratio | 0.287 | |
| 7.87% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 94 | | matches | | 0 | "The abandoned Tube station smelled" | | 1 | "Detective Harlow Quinn stepped off" | | 2 | "The beam of her torch" | | 3 | "The air hummed, not with" | | 4 | "DS Patel stood near the" | | 5 | "He’d cordoned off a section" | | 6 | "Quinn adjusted the worn leather" | | 7 | "Patel gestured to the body" | | 8 | "Quinn crouched, her knees cracking." | | 9 | "The victim lay on his" | | 10 | "His skin was waxy, almost" | | 11 | "They were *gone*." | | 12 | "Patel crossed his arms." | | 13 | "Quinn looked up." | | 14 | "Her stomach tightened." | | 15 | "*Morris.* The name was a" | | 16 | "She stood slowly, brushing dust" | | 17 | "Patel’s voice was steady, but" | | 18 | "Quinn’s torch flickered." | | 19 | "She tapped it against her" |
| | ratio | 0.904 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 94 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 8 | | matches | | 0 | "Detective Harlow Quinn stepped off the last rung of the rusted ladder, her boots hitting the platform with a sharp *clack* that echoed down the empty tunnel." | | 1 | "The beam of her torch carved a trembling circle through the dark, catching the peeling paint of a sign that read *Camden Town* in faded letters." | | 2 | "He’d cordoned off a section with police tape that fluttered in the stale breeze, and he was frowning at something on the ground." | | 3 | "The victim lay on his side, one arm stretched out as if reaching for something just beyond his fingertips." | | 4 | "But it was his eyes that made her breath catch." | | 5 | "Not gouged out, not decayed—just empty sockets, smooth as river stones, as if they’d never been there at all." | | 6 | "The platform was littered with the usual detritus—cigarette butts, a crushed energy drink can, a discarded syringe—but nothing that screamed *evidence*." | | 7 | "Younger, with round glasses and a mop of curly red hair that kept escaping the clip at the back of her head." |
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| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn stepped, her voice low" |
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| 94.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "Quinn snapped (snap)" | | 2 | "she agreed (agree)" |
| | dialogueSentences | 54 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 0.5 | | effectiveRatio | 0.111 | |