| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 1 | | adverbTags | | 0 | "Herrera said quietly [quietly]" |
| | dialogueSentences | 9 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.333 | | effectiveRatio | 0.222 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 836 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 28.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 836 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "scanned" | | 1 | "flickered" | | 2 | "gloom" | | 3 | "echoed" | | 4 | "scanning" | | 5 | "etched" | | 6 | "pulse" | | 7 | "pounding" | | 8 | "glistening" | | 9 | "flicked" | | 10 | "could feel" | | 11 | "weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 67 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 73 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 3 | | totalWords | 830 | | ratio | 0.004 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 792 | | uniqueNames | 14 | | maxNameDensity | 1.64 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Herrera" | | discoveredNames | | London | 1 | | Harlow | 1 | | Quinn | 13 | | Soho | 1 | | Raven | 1 | | Tomás | 1 | | Herrera | 11 | | Saint | 1 | | Christopher | 1 | | Camden | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Tomás" | | 3 | "Herrera" | | 4 | "Saint" | | 5 | "Christopher" | | 6 | "Market" | | 7 | "Morris" |
| | places | | | globalScore | 0.679 | | windowScore | 0.5 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like ozone and decay, weapons that" |
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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 | 830 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 73 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 28.62 | | std | 23.71 | | cv | 0.828 | | sampleLengths | | 0 | 80 | | 1 | 57 | | 2 | 55 | | 3 | 46 | | 4 | 59 | | 5 | 30 | | 6 | 56 | | 7 | 5 | | 8 | 64 | | 9 | 22 | | 10 | 59 | | 11 | 7 | | 12 | 47 | | 13 | 10 | | 14 | 12 | | 15 | 3 | | 16 | 56 | | 17 | 3 | | 18 | 47 | | 19 | 11 | | 20 | 12 | | 21 | 13 | | 22 | 5 | | 23 | 9 | | 24 | 6 | | 25 | 32 | | 26 | 10 | | 27 | 8 | | 28 | 6 |
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| 94.79% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 67 | | matches | | 0 | "were pried" | | 1 | "was connected" |
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| 1.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 134 | | matches | | 0 | "was running" | | 1 | "wasn’t letting" | | 2 | "was talking" | | 3 | "wasn’t leaving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 73 | | ratio | 0.068 | | matches | | 0 | "She’d been tailing the suspect for blocks—ever since he’d bolted from *The Raven’s Nest* like a man with something to hide." | | 1 | "The suspect—Tomás Herrera, if her intel was right—ducked around a corner, his dark curls plastered to his forehead." | | 2 | "She knew the stories—whispers of a black market beneath the city, one that moved with the moon, one that dealt in things the law couldn’t touch." | | 3 | "Then she saw it—the market." | | 4 | "The market was a labyrinth of secrets—vials of glowing liquid, bundles of herbs that smelled like ozone and decay, weapons that hummed with an energy she couldn’t name." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 798 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.018796992481203006 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002506265664160401 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 73 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 73 | | mean | 11.37 | | std | 7.13 | | cv | 0.627 | | sampleLengths | | 0 | 15 | | 1 | 23 | | 2 | 18 | | 3 | 24 | | 4 | 21 | | 5 | 17 | | 6 | 8 | | 7 | 11 | | 8 | 18 | | 9 | 16 | | 10 | 10 | | 11 | 2 | | 12 | 9 | | 13 | 20 | | 14 | 10 | | 15 | 16 | | 16 | 2 | | 17 | 10 | | 18 | 26 | | 19 | 3 | | 20 | 18 | | 21 | 5 | | 22 | 25 | | 23 | 11 | | 24 | 15 | | 25 | 13 | | 26 | 17 | | 27 | 5 | | 28 | 12 | | 29 | 12 | | 30 | 20 | | 31 | 20 | | 32 | 11 | | 33 | 5 | | 34 | 6 | | 35 | 10 | | 36 | 28 | | 37 | 21 | | 38 | 7 | | 39 | 5 | | 40 | 17 | | 41 | 16 | | 42 | 9 | | 43 | 10 | | 44 | 5 | | 45 | 7 | | 46 | 3 | | 47 | 13 | | 48 | 19 | | 49 | 8 |
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| 37.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.273972602739726 | | totalSentences | 73 | | uniqueOpeners | 20 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 65 | | matches | | 0 | "Then she saw it—the market." | | 1 | "Then Herrera turned, his warm" | | 2 | "Then Herrera bolted." |
| | ratio | 0.046 | |
| 90.77% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 65 | | matches | | 0 | "Her breath came in controlled" | | 1 | "She’d been tailing the suspect" | | 2 | "She’d spent years chasing shadows," | | 3 | "She rounded the corner just" | | 4 | "She knew the stories—whispers of" | | 5 | "She’d heard the name in" | | 6 | "She descended the stairs, the" | | 7 | "Her boots echoed against the" | | 8 | "She wasn’t here to browse." | | 9 | "She was here to find" | | 10 | "She moved through the crowd," | | 11 | "She caught a glimpse of" | | 12 | "He was talking to a" | | 13 | "She caught sight of him" | | 14 | "She didn’t hesitate." | | 15 | "he said, his voice low" | | 16 | "He laughed, a bitter sound." | | 17 | "She didn’t turn." | | 18 | "She didn’t need to." | | 19 | "She could feel the shift" |
| | ratio | 0.323 | |
| 29.23% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 65 | | matches | | 0 | "The rain came down in" | | 1 | "Detective Harlow Quinn moved with" | | 2 | "The neon glow of Soho’s" | | 3 | "Her breath came in controlled" | | 4 | "She’d been tailing the suspect" | | 5 | "The green neon sign above" | | 6 | "The man was fast, but" | | 7 | "She’d spent years chasing shadows," | | 8 | "The suspect—Tomás Herrera, if her" | | 9 | "The Saint Christopher medallion around" | | 10 | "Quinn’s fingers twitched near her" | | 11 | "She rounded the corner just" | | 12 | "The Camden Tube station, abandoned" | | 13 | "The rain drummed against her" | | 14 | "She knew the stories—whispers of" | | 15 | "The Veil Market." | | 16 | "She’d heard the name in" | | 17 | "She descended the stairs, the" | | 18 | "The tunnel opened up before" | | 19 | "The scent of damp stone" |
| | ratio | 0.862 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 30.08% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 6 | | matches | | 0 | "Detective Harlow Quinn moved with the precision of a soldier, her boots splashing through puddles that pooled in the cracks of the pavement." | | 1 | "A bone token, strung on a leather cord, dangled from the wrist of a vendor who eyed her with suspicion." | | 2 | "A woman in a long coat offered her a silver locket, its surface etched with symbols that made Quinn’s teeth ache." | | 3 | "Quinn cursed and gave chase, shoving past a vendor who yelped in protest." | | 4 | "The passage opened into a smaller chamber, the air thick with the scent of incense and something older, something that made the hairs on the back of her neck st…" | | 5 | "Herrera stood at the far end, his chest heaving, his scarred forearm glistening with rainwater." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, his voice low" |
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| 38.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "the woman murmured (murmur)" |
| | dialogueSentences | 9 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.333 | | effectiveRatio | 0.222 | |