| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 2 | | adverbTags | | 0 | "Singh said warily [warily]" | | 1 | "Singh commented dryly [dryly]" |
| | dialogueSentences | 20 | | tagDensity | 0.45 | | leniency | 0.9 | | rawRatio | 0.222 | | effectiveRatio | 0.2 | |
| 89.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 996 | | 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) | |
| 64.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 996 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "gloom" | | 1 | "foreboding" | | 2 | "reminder" | | 3 | "footsteps" | | 4 | "echoing" | | 5 | "sense of" | | 6 | "scanning" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sense of foreboding" | | 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 | | |
| 94.72% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 79 | | gibberishSentences | 1 | | adjustedGibberishSentences | 1 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 58 | | ratio | 0.013 | | matches | | 0 | "This one could be life threatening for someone with her 'ιλοango delight." |
| |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 996 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 648 | | uniqueNames | 10 | | maxNameDensity | 2.31 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Singh" | | discoveredNames | | Harlow | 3 | | Quinn | 15 | | Camden | 1 | | Tube | 1 | | Detective | 4 | | Vikram | 1 | | Singh | 11 | | Morris | 1 | | Fearsome | 1 | | Saturday | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Detective" | | 3 | "Vikram" | | 4 | "Singh" | | 5 | "Morris" |
| | places | | | globalScore | 0.343 | | windowScore | 0.333 | |
| 43.62% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 2 | | matches | | 0 | "quite put her finger on it" | | 1 | "looked like blood" |
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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 | 996 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 32.13 | | std | 17.68 | | cv | 0.55 | | sampleLengths | | 0 | 70 | | 1 | 53 | | 2 | 22 | | 3 | 28 | | 4 | 12 | | 5 | 17 | | 6 | 52 | | 7 | 18 | | 8 | 22 | | 9 | 40 | | 10 | 9 | | 11 | 32 | | 12 | 22 | | 13 | 19 | | 14 | 42 | | 15 | 30 | | 16 | 53 | | 17 | 52 | | 18 | 17 | | 19 | 13 | | 20 | 27 | | 21 | 52 | | 22 | 25 | | 23 | 22 | | 24 | 78 | | 25 | 25 | | 26 | 19 | | 27 | 48 | | 28 | 45 | | 29 | 24 | | 30 | 8 |
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| 94.79% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 67 | | matches | | 0 | "was hunched" | | 1 | "was drawn" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 120 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 79 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 375 | | adjectiveStacks | 1 | | stackExamples | | 0 | "awful nasty awful Satur," |
| | adverbCount | 12 | | adverbRatio | 0.032 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.005333333333333333 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 79 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 79 | | mean | 12.61 | | std | 9.1 | | cv | 0.722 | | sampleLengths | | 0 | 20 | | 1 | 3 | | 2 | 6 | | 3 | 13 | | 4 | 14 | | 5 | 2 | | 6 | 12 | | 7 | 18 | | 8 | 14 | | 9 | 7 | | 10 | 7 | | 11 | 7 | | 12 | 22 | | 13 | 16 | | 14 | 7 | | 15 | 5 | | 16 | 12 | | 17 | 17 | | 18 | 28 | | 19 | 14 | | 20 | 10 | | 21 | 5 | | 22 | 11 | | 23 | 2 | | 24 | 22 | | 25 | 10 | | 26 | 30 | | 27 | 5 | | 28 | 4 | | 29 | 9 | | 30 | 4 | | 31 | 19 | | 32 | 22 | | 33 | 11 | | 34 | 8 | | 35 | 18 | | 36 | 24 | | 37 | 10 | | 38 | 8 | | 39 | 12 | | 40 | 16 | | 41 | 9 | | 42 | 13 | | 43 | 6 | | 44 | 5 | | 45 | 4 | | 46 | 11 | | 47 | 15 | | 48 | 26 | | 49 | 3 |
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| 83.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5189873417721519 | | totalSentences | 79 | | uniqueOpeners | 41 | |
| 52.08% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 64 | | matches | | 0 | "Dead magical girls, reversed time" |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 64 | | matches | | 0 | "It was her partner, Detective" | | 1 | "It's not the sort of" | | 2 | "They both knew, but they" | | 3 | "It moaned like a baby" | | 4 | "She gagged on dank esophagus." | | 5 | "She beat it down." | | 6 | "It wouldn't be so easy." | | 7 | "She waved to Saturday to" | | 8 | "He punctuated his words with" | | 9 | "She had to." |
| | ratio | 0.156 | |
| 45.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 64 | | matches | | 0 | "Detective Harlow Quinn stepped out" | | 1 | "A crime scene." | | 2 | "That could mean nothing at" | | 3 | "Quinn had run into all" | | 4 | "This one could be life" | | 5 | "The rising sun had begun" | | 6 | "A crescent moon still hung" | | 7 | "Harlow stuck a toothpick in" | | 8 | "Quinn is here to do" | | 9 | "Detective Quinn sighed with tired" | | 10 | "It was her partner, Detective" | | 11 | "Singh was right, she had" | | 12 | "Someone had the audacity to" | | 13 | "It's not the sort of" | | 14 | "Quinn huffed, adjusting her fedora" | | 15 | "Singh suppressed a wry chuckle." | | 16 | "They both knew, but they" | | 17 | "Singh cracked a smile." | | 18 | "Singh answered for her" | | 19 | "Singh lowered his voice and" |
| | ratio | 0.828 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 1 | | matches | | 0 | "Fear, guilt for wanting this life under conditions that were dangerous." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 4 | | fancyTags | | 0 | "life threatening (life threatening)" | | 1 | "Quinn breathed (breathe)" | | 2 | "Singh commented dryly (comment)" | | 3 | "Quinn muttered (mutter)" |
| | dialogueSentences | 20 | | tagDensity | 0.35 | | leniency | 0.7 | | rawRatio | 0.571 | | effectiveRatio | 0.4 | |