| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "The man nodded slowly [slowly]" | | 1 | "He gestured around [around]" |
| | dialogueSentences | 40 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.133 | | effectiveRatio | 0.1 | |
| 89.94% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 994 | | totalAiIsmAdverbs | 2 | | 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) | |
| 79.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 994 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "scanned" | | 1 | "flickered" | | 2 | "pulsed" | | 3 | "almost alive" |
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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 | 83 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 83 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 108 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 982 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.30% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 677 | | uniqueNames | 9 | | maxNameDensity | 1.03 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Harlow | 1 | | Quinn | 7 | | London | 1 | | English | 1 | | Veil | 1 | | Market | 1 | | Olive | 1 | | Herrera | 4 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Herrera" |
| | places | | | globalScore | 0.983 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like a jar of eyes" | | 1 | "something between warning and pity" | | 2 | "not quite laughter, not quite screaming" | | 3 | "not quite screaming" |
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| 98.17% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.018 | | wordCount | 982 | | matches | | 0 | "not for a weapon, but for a small card bone-white, carved with symbols" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 108 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 20.46 | | std | 15.22 | | cv | 0.744 | | sampleLengths | | 0 | 45 | | 1 | 3 | | 2 | 25 | | 3 | 61 | | 4 | 38 | | 5 | 3 | | 6 | 43 | | 7 | 31 | | 8 | 3 | | 9 | 31 | | 10 | 5 | | 11 | 54 | | 12 | 27 | | 13 | 7 | | 14 | 28 | | 15 | 20 | | 16 | 2 | | 17 | 8 | | 18 | 14 | | 19 | 14 | | 20 | 17 | | 21 | 2 | | 22 | 19 | | 23 | 21 | | 24 | 24 | | 25 | 15 | | 26 | 29 | | 27 | 10 | | 28 | 13 | | 29 | 25 | | 30 | 10 | | 31 | 21 | | 32 | 6 | | 33 | 53 | | 34 | 22 | | 35 | 44 | | 36 | 3 | | 37 | 32 | | 38 | 12 | | 39 | 24 | | 40 | 2 | | 41 | 15 | | 42 | 33 | | 43 | 3 | | 44 | 35 | | 45 | 7 | | 46 | 21 | | 47 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 123 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 108 | | ratio | 0.065 | | matches | | 0 | "She'd lost her partner three years ago chasing ghosts—literally." | | 1 | "Quinn hesitated—six inches of rain water had nothing on the wrong side of a door she couldn't see behind." | | 2 | "The air changed immediately—heavy, layered with scents she couldn't place." | | 3 | "Herrera's expression flickered—something between warning and pity." | | 4 | "\"I've heard that before.\" He touched the medallion at his throat—a habit, she realized, for steadying himself." | | 5 | "\"You don't.\" Herrera reached into his jacket—not for a weapon, but for a small card bone-white, carved with symbols." | | 6 | "The red light intensified, and from somewhere deep within the market came a sound—not quite laughter, not quite screaming." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 687 | | adjectiveStacks | 1 | | stackExamples | | 0 | "same sickly green glow." |
| | adverbCount | 26 | | adverbRatio | 0.03784570596797671 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.011644832605531296 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 108 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 108 | | mean | 9.09 | | std | 6.37 | | cv | 0.701 | | sampleLengths | | 0 | 15 | | 1 | 13 | | 2 | 17 | | 3 | 3 | | 4 | 15 | | 5 | 1 | | 6 | 1 | | 7 | 8 | | 8 | 11 | | 9 | 9 | | 10 | 25 | | 11 | 6 | | 12 | 10 | | 13 | 11 | | 14 | 15 | | 15 | 1 | | 16 | 1 | | 17 | 10 | | 18 | 3 | | 19 | 17 | | 20 | 7 | | 21 | 19 | | 22 | 9 | | 23 | 5 | | 24 | 17 | | 25 | 3 | | 26 | 12 | | 27 | 10 | | 28 | 1 | | 29 | 1 | | 30 | 7 | | 31 | 5 | | 32 | 12 | | 33 | 4 | | 34 | 8 | | 35 | 18 | | 36 | 12 | | 37 | 3 | | 38 | 18 | | 39 | 3 | | 40 | 3 | | 41 | 7 | | 42 | 12 | | 43 | 2 | | 44 | 3 | | 45 | 8 | | 46 | 3 | | 47 | 12 | | 48 | 8 | | 49 | 2 |
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| 85.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.5555555555555556 | | totalSentences | 108 | | uniqueOpeners | 60 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 72 | | matches | | 0 | "Definitely not their first sprint" | | 1 | "Somewhere in that darkness, her" | | 2 | "Somewhere in that darkness, her" |
| | ratio | 0.042 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 72 | | matches | | 0 | "She'd lost her partner three" | | 1 | "She followed anyway." | | 2 | "Her hand found her warrant" | | 3 | "She went through." | | 4 | "It was real." | | 5 | "It was here." | | 6 | "Her suspect had vanished into" | | 7 | "She held up her warrant" | | 8 | "She studied him" | | 9 | "He smiled, but it didn't" | | 10 | "He gestured around them" | | 11 | "She scanned the crowd again" | | 12 | "She took a step forward" | | 13 | "He touched the medallion at" | | 14 | "Her partner had come looking" | | 15 | "He pointed toward a corridor" | | 16 | "She pulled out her phone" | | 17 | "His jaw tightened" | | 18 | "It felt warm against her" | | 19 | "She stepped forward." |
| | ratio | 0.292 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 72 | | matches | | 0 | "Detective Harlow Quinn pumped her" | | 1 | "The figure ahead vaulted a" | | 2 | "Quinn's boots splashed through puddles" | | 3 | "She'd lost her partner three" | | 4 | "Morris had vanished during a" | | 5 | "The department called it a" | | 6 | "Quinn called it murder by" | | 7 | "The suspect veered left onto" | | 8 | "The kind of place where" | | 9 | "She followed anyway." | | 10 | "The street dead-ended at a" | | 11 | "The suspect slammed through it" | | 12 | "Quinn hesitated—six inches of rain" | | 13 | "Her hand found her warrant" | | 14 | "Protocol said wait for backup." | | 15 | "Protocol also said the suspect" | | 16 | "She went through." | | 17 | "Stairs descended into darkness, lit" | | 18 | "The air changed immediately—heavy, layered" | | 19 | "Something rotting-sweet that caught in" |
| | ratio | 0.833 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 89.95% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 2 | | matches | | 0 | "The street dead-ended at a door that hung crooked on its hinges, green light bleeding from underneath." | | 1 | "Every rumour she'd dismissed as fantasy, every whispered warning from informants who'd later turn up dead or mad." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |