| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.222 | | leniency | 0.444 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.20% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1695 | | totalAiIsmAdverbs | 4 | | 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) | |
| 43.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1695 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "pulse" | | 1 | "glinting" | | 2 | "tracing" | | 3 | "whisper" | | 4 | "stomach" | | 5 | "echoing" | | 6 | "could feel" | | 7 | "loomed" | | 8 | "raced" | | 9 | "footsteps" | | 10 | "flicked" | | 11 | "jaw clenched" | | 12 | "racing" | | 13 | "resolve" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 176 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 176 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 203 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 12 | | markdownWords | 37 | | totalWords | 1678 | | ratio | 0.022 | | matches | | 0 | "The Raven’s Nest" | | 1 | "Too easy." | | 2 | "The Raven’s Nest." | | 3 | "The Complete Works of Shakespeare, A History of Alchemy, a dog-eared copy of *Dracula" | | 4 | "The Occult in Everyday Life" | | 5 | "The Veil Market." | | 6 | "hungry" | | 7 | "Tomás Herrera." | | 8 | "doctor" | | 9 | "older." | | 10 | "Detective" | | 11 | "certainly" |
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| 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 | 50 | | wordCount | 1453 | | uniqueNames | 14 | | maxNameDensity | 1.58 | | worstName | "Harlow" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Tomás" | | discoveredNames | | Soho | 1 | | Quinn | 2 | | Raven | 2 | | Complete | 1 | | Works | 1 | | Shakespeare | 1 | | History | 1 | | Alchemy | 1 | | Occult | 1 | | Everyday | 1 | | Veil | 1 | | Harlow | 23 | | Tomás | 13 | | Morris | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Shakespeare" | | 3 | "Veil" | | 4 | "Harlow" | | 5 | "Tomás" | | 6 | "Morris" |
| | places | | | globalScore | 0.709 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 104 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like ozone and something sweet, li" |
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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 | 1678 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 203 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 23.97 | | std | 19.99 | | cv | 0.834 | | sampleLengths | | 0 | 85 | | 1 | 64 | | 2 | 21 | | 3 | 60 | | 4 | 8 | | 5 | 26 | | 6 | 36 | | 7 | 55 | | 8 | 4 | | 9 | 46 | | 10 | 8 | | 11 | 37 | | 12 | 72 | | 13 | 61 | | 14 | 4 | | 15 | 2 | | 16 | 46 | | 17 | 7 | | 18 | 64 | | 19 | 30 | | 20 | 2 | | 21 | 58 | | 22 | 35 | | 23 | 19 | | 24 | 25 | | 25 | 49 | | 26 | 35 | | 27 | 4 | | 28 | 59 | | 29 | 1 | | 30 | 8 | | 31 | 13 | | 32 | 7 | | 33 | 24 | | 34 | 13 | | 35 | 20 | | 36 | 16 | | 37 | 6 | | 38 | 15 | | 39 | 22 | | 40 | 36 | | 41 | 9 | | 42 | 9 | | 43 | 6 | | 44 | 34 | | 45 | 14 | | 46 | 36 | | 47 | 5 | | 48 | 26 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 176 | | matches | (empty) | |
| 47.33% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 262 | | matches | | 0 | "wasn’t running" | | 1 | "was going" | | 2 | "was standing" | | 3 | "was holding" | | 4 | "was standing" | | 5 | "wasn’t walking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 203 | | ratio | 0.059 | | matches | | 0 | "The suspect—a wiry man in a long coat, his face half-hidden beneath the brim of a hat—ducked into an alley between two brick buildings." | | 1 | "She’d been here before—officially, unofficially, in between." | | 2 | "She reached out, fingers brushing the spines of the books—*The Complete Works of Shakespeare, A History of Alchemy, a dog-eared copy of *Dracula***." | | 3 | "The books shifted slightly when she pressed the right one—*The Occult in Everyday Life*—and the shelf swung open with a whisper." | | 4 | "At the bottom, a single flickering bulb cast long shadows over a corridor lined with doors—each one marked with a symbol she didn’t recognize." | | 5 | "A man’s voice, speaking in a language she didn’t know, but the tone was unmistakable—commanding." | | 6 | "She ducked back into the shadows just as a figure emerged—a man in a long coat, his face obscured by a hood." | | 7 | "But something in his tone—something almost *hungry*—made her hesitate." | | 8 | "Harlow’s eyes flicked to the end of the corridor just as a figure stepped into view—a man in a white coat, a saint’s medallion glinting around his neck." | | 9 | "She could see it now—the way the air seemed to hum, the way the shadows moved like living things." | | 10 | "But not before she saw it—the way his shadow stretched unnaturally long, like it wasn’t his at all." | | 11 | "But the memory of that shadow—the way it had moved—burned in her mind." |
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| 96.61% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 433 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.04387990762124711 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.018475750577367205 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 203 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 203 | | mean | 8.27 | | std | 5.82 | | cv | 0.704 | | sampleLengths | | 0 | 17 | | 1 | 25 | | 2 | 26 | | 3 | 17 | | 4 | 24 | | 5 | 3 | | 6 | 18 | | 7 | 11 | | 8 | 6 | | 9 | 2 | | 10 | 3 | | 11 | 2 | | 12 | 12 | | 13 | 4 | | 14 | 12 | | 15 | 7 | | 16 | 9 | | 17 | 18 | | 18 | 14 | | 19 | 8 | | 20 | 6 | | 21 | 4 | | 22 | 2 | | 23 | 14 | | 24 | 5 | | 25 | 5 | | 26 | 7 | | 27 | 10 | | 28 | 2 | | 29 | 3 | | 30 | 4 | | 31 | 10 | | 32 | 23 | | 33 | 13 | | 34 | 1 | | 35 | 5 | | 36 | 3 | | 37 | 4 | | 38 | 18 | | 39 | 7 | | 40 | 21 | | 41 | 8 | | 42 | 3 | | 43 | 4 | | 44 | 7 | | 45 | 13 | | 46 | 10 | | 47 | 10 | | 48 | 13 | | 49 | 13 |
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| 41.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.22660098522167488 | | totalSentences | 203 | | uniqueOpeners | 46 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 158 | | matches | | 0 | "Just a leisurely stroll, like" | | 1 | "Then, with a flick of" | | 2 | "Just smooth brick." | | 3 | "Then she saw it." | | 4 | "Then she heard it." | | 5 | "Instead, he spun her around," | | 6 | "Then she heard footsteps." | | 7 | "Then, with a sharp exhale," |
| | ratio | 0.051 | |
| 98.48% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 158 | | matches | | 0 | "She kept her head down," | | 1 | "She pushed off the wall," | | 2 | "Her pulse thrummed in her" | | 3 | "He wasn’t running." | | 4 | "She slowed, pressing her back" | | 5 | "She didn’t draw it." | | 6 | "She exhaled through her nose." | | 7 | "She’d been here before—officially, unofficially," | | 8 | "She reached out, fingers brushing" | | 9 | "She pressed her palm to" | | 10 | "She crouched, tracing it with" | | 11 | "She didn’t like stairs." | | 12 | "She took a deep breath," | | 13 | "Her free hand found the" | | 14 | "She moved forward, her steps" | | 15 | "Her instincts screamed at her" | | 16 | "She reached for her radio," | | 17 | "She ducked back into the" | | 18 | "He moved with purpose, his" | | 19 | "She didn’t have time to" |
| | ratio | 0.304 | |
| 80.25% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 120 | | totalSentences | 158 | | matches | | 0 | "The rain fell in sheets," | | 1 | "Harlow Quinn’s boots splashed through" | | 2 | "She kept her head down," | | 3 | "The suspect—a wiry man in" | | 4 | "Harlow didn’t hesitate." | | 5 | "She pushed off the wall," | | 6 | "The alley reeked of damp" | | 7 | "Her pulse thrummed in her" | | 8 | "He wasn’t running." | | 9 | "The alley opened into a" | | 10 | "Harlow’s breath fogged in front" | | 11 | "She slowed, pressing her back" | | 12 | "The suspect paused at the" | | 13 | "A bookshelf groaned, swinging inward" | | 14 | "Harlow’s fingers twitched toward her" | | 15 | "She didn’t draw it." | | 16 | "The suspect vanished into the" | | 17 | "She exhaled through her nose." | | 18 | "*The Raven’s Nest.*" | | 19 | "She’d been here before—officially, unofficially," |
| | ratio | 0.759 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 158 | | matches | (empty) | | ratio | 0 | |
| 82.32% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 5 | | matches | | 0 | "Harlow Quinn’s boots splashed through puddles that reflected the sickly green of *The Raven’s Nest* sign above her, its light flickering like a dying pulse." | | 1 | "The man paused, tilting his head as if he could smell her fear." | | 2 | "Her baton cracked against his wrist, sending whatever he was holding clattering to the ground." | | 3 | "The man loomed over her, his hood falling back to reveal a face that was all sharp angles and cold eyes." | | 4 | "His dark eyes locked onto hers, and for a second, she saw something in them that made her blood run cold." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 94.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "the man sneered (sneer)" | | 1 | "he muttered (mutter)" |
| | dialogueSentences | 36 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.333 | | effectiveRatio | 0.111 | |