| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 93.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 798 | | 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) | |
| 62.41% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 798 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "scanned" | | 1 | "velvet" | | 2 | "navigated" | | 3 | "shattered" | | 4 | "pounding" | | 5 | "determined" |
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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 | 60 | | matches | (empty) | |
| 71.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 60 | | filterMatches | | | hedgeMatches | | 0 | "appeared to" | | 1 | "happened to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 63 | | 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 | 0 | | markdownWords | 0 | | totalWords | 785 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.92% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 757 | | uniqueNames | 5 | | maxNameDensity | 1.98 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 15 | | Veil | 1 | | Market | 1 | | Morris | 1 | | London | 1 |
| | persons | | | places | | | globalScore | 0.509 | | windowScore | 0.667 | |
| 51.96% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like bottled shadows, scattering t" | | 1 | "looked like living vines" |
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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 | 785 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 86.82% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 32.71 | | std | 14.84 | | cv | 0.454 | | sampleLengths | | 0 | 67 | | 1 | 44 | | 2 | 48 | | 3 | 52 | | 4 | 42 | | 5 | 10 | | 6 | 6 | | 7 | 8 | | 8 | 9 | | 9 | 21 | | 10 | 34 | | 11 | 21 | | 12 | 35 | | 13 | 21 | | 14 | 30 | | 15 | 48 | | 16 | 28 | | 17 | 36 | | 18 | 41 | | 19 | 36 | | 20 | 38 | | 21 | 33 | | 22 | 42 | | 23 | 35 |
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| 81.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 60 | | matches | | 0 | "was lost" | | 1 | "was connected" | | 2 | "was gone" | | 3 | "was tangled" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 159 | | matches | | 0 | "was holding" | | 1 | "was going" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 63 | | ratio | 0.159 | | matches | | 0 | "The suspect—a wiry man in a dark hoodie—darted around a corner, nearly slipping on the wet pavement." | | 1 | "Quinn tested the handle—locked." | | 2 | "The air grew thick with the scent of damp earth and something else—ozone and herbs, like a chemistry lab crossed with an apothecary." | | 3 | "Quinn's eyes widened as she took in the scene—bottles of glowing liquid, crystals that hummed with energy, books bound in what looked disturbingly like human skin." | | 4 | "\"—three drops at moonrise, no more—\"" | | 5 | "\"—the binding won't hold if you use hawthorn—\"" | | 6 | "\"—told you, the eyes only work if they're fresh—\"" | | 7 | "But something held her back—the realization that this was bigger than she'd thought." | | 8 | "She'd lost him, but she'd gained something more valuable—confirmation that the supernatural world was real, and it was tangled up in her case in ways she'd never imagined." | | 9 | "And she wouldn't rest until she uncovered the truth about what happened to DS Morris—and what other secrets lurked in the shadows of London's underworld." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 303 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 7 | | adverbRatio | 0.0231023102310231 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.009900990099009901 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 63 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 63 | | mean | 12.46 | | std | 6.2 | | cv | 0.498 | | sampleLengths | | 0 | 21 | | 1 | 17 | | 2 | 3 | | 3 | 26 | | 4 | 8 | | 5 | 8 | | 6 | 4 | | 7 | 8 | | 8 | 11 | | 9 | 5 | | 10 | 12 | | 11 | 23 | | 12 | 13 | | 13 | 15 | | 14 | 11 | | 15 | 26 | | 16 | 20 | | 17 | 11 | | 18 | 11 | | 19 | 10 | | 20 | 6 | | 21 | 8 | | 22 | 9 | | 23 | 16 | | 24 | 5 | | 25 | 5 | | 26 | 18 | | 27 | 11 | | 28 | 13 | | 29 | 8 | | 30 | 17 | | 31 | 18 | | 32 | 9 | | 33 | 12 | | 34 | 16 | | 35 | 14 | | 36 | 11 | | 37 | 13 | | 38 | 24 | | 39 | 12 | | 40 | 14 | | 41 | 2 | | 42 | 7 | | 43 | 15 | | 44 | 14 | | 45 | 5 | | 46 | 11 | | 47 | 14 | | 48 | 11 | | 49 | 8 |
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| 65.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4126984126984127 | | totalSentences | 63 | | uniqueOpeners | 26 | |
| 56.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 59 | | matches | | | ratio | 0.017 | |
| 91.19% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 59 | | matches | | 0 | "Her leather watch caught the" | | 1 | "She followed, gun drawn, rain" | | 2 | "She scanned the brick walls," | | 3 | "Her fingers flew across the" | | 4 | "She spotted her suspect weaving" | | 5 | "He moved with purpose toward" | | 6 | "She couldn't make out their" | | 7 | "She was close enough now" | | 8 | "They took the money and" | | 9 | "She watched as the suspect" | | 10 | "Their eyes met Quinn's for" | | 11 | "She cut through a stall" | | 12 | "She sprinted for it, bursting" | | 13 | "He turned, eyes wild, and" | | 14 | "It shattered, releasing a cloud" | | 15 | "She'd lost him, but she'd" | | 16 | "She pulled out her phone," | | 17 | "She had a new lead" | | 18 | "She had questions that needed" |
| | ratio | 0.322 | |
| 53.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 48 | | totalSentences | 59 | | matches | | 0 | "Detective Quinn's boots splashed through" | | 1 | "The suspect—a wiry man in" | | 2 | "Quinn didn't slow." | | 3 | "Her leather watch caught the" | | 4 | "She followed, gun drawn, rain" | | 5 | "The alley dead-ended at a" | | 6 | "Quinn tested the handle—locked." | | 7 | "She scanned the brick walls," | | 8 | "Her fingers flew across the" | | 9 | "The fourth attempt clicked green." | | 10 | "The air grew thick with" | | 11 | "The Veil Market stretched before" | | 12 | "Stalls lined the walls, their" | | 13 | "Quinn's eyes widened as she" | | 14 | "She spotted her suspect weaving" | | 15 | "He moved with purpose toward" | | 16 | "Quinn followed, keeping her distance," | | 17 | "\"—three drops at moonrise, no" | | 18 | "\"—the binding won't hold if" | | 19 | "\"—told you, the eyes only" |
| | ratio | 0.814 | |
| 84.75% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 59 | | matches | | 0 | "If she reported this, they'd" |
| | ratio | 0.017 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 1 | | matches | | 0 | "Her leather watch caught the dim glow of a streetlamp as she rounded the bend, catching a glimpse of her quarry disappearing down a narrow alley." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0 | | effectiveRatio | 0 | |