| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "She stepped aside [aside]" | | 1 | "he said finally [finally]" |
| | dialogueSentences | 52 | | tagDensity | 0.288 | | leniency | 0.577 | | rawRatio | 0.133 | | effectiveRatio | 0.077 | |
| 94.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 946 | | 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) | |
| 68.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 946 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "silence" | | 1 | "pulse" | | 2 | "weight" | | 3 | "traced" |
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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 | 94 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 94 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 941 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 87.15% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 716 | | uniqueNames | 4 | | maxNameDensity | 1.26 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Eva" | | 3 | "Ptolemy" |
| | places | (empty) | | globalScore | 0.872 | | windowScore | 1 | |
| 98.98% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 1 | | matches | | 0 | "tasted like whiskey and regret when she’d" |
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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 | 941 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 132 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 16.22 | | std | 14.94 | | cv | 0.921 | | sampleLengths | | 0 | 59 | | 1 | 5 | | 2 | 50 | | 3 | 13 | | 4 | 30 | | 5 | 6 | | 6 | 7 | | 7 | 14 | | 8 | 57 | | 9 | 9 | | 10 | 16 | | 11 | 43 | | 12 | 12 | | 13 | 35 | | 14 | 3 | | 15 | 7 | | 16 | 7 | | 17 | 29 | | 18 | 9 | | 19 | 8 | | 20 | 4 | | 21 | 16 | | 22 | 14 | | 23 | 9 | | 24 | 4 | | 25 | 6 | | 26 | 29 | | 27 | 17 | | 28 | 15 | | 29 | 2 | | 30 | 14 | | 31 | 11 | | 32 | 5 | | 33 | 51 | | 34 | 7 | | 35 | 9 | | 36 | 2 | | 37 | 7 | | 38 | 25 | | 39 | 10 | | 40 | 5 | | 41 | 42 | | 42 | 12 | | 43 | 3 | | 44 | 7 | | 45 | 2 | | 46 | 20 | | 47 | 39 | | 48 | 37 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 126 | | matches | (empty) | |
| 56.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 132 | | ratio | 0.03 | | matches | | 0 | "The knock came at three in the morning—three sharp raps that jolted Rory awake." | | 1 | "Through the peephole, the fisheye lens distorted Lucien’s face—pale as bone under the yellow hallway light, his platinum hair slick with rain." | | 2 | "She remembered the last time they’d stood this close—his hands gripping her hips in the backroom of Silas’ bar, her back against the liquor shelves." | | 3 | "The amber eye glowed faintly in the dark—the only warning before his claws pricked her hip." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 509 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 7 | | adverbRatio | 0.0137524557956778 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.003929273084479371 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 7.13 | | std | 5.33 | | cv | 0.748 | | sampleLengths | | 0 | 14 | | 1 | 10 | | 2 | 18 | | 3 | 17 | | 4 | 2 | | 5 | 3 | | 6 | 15 | | 7 | 4 | | 8 | 22 | | 9 | 9 | | 10 | 5 | | 11 | 4 | | 12 | 2 | | 13 | 2 | | 14 | 4 | | 15 | 14 | | 16 | 12 | | 17 | 6 | | 18 | 3 | | 19 | 4 | | 20 | 7 | | 21 | 7 | | 22 | 11 | | 23 | 16 | | 24 | 8 | | 25 | 22 | | 26 | 4 | | 27 | 3 | | 28 | 2 | | 29 | 14 | | 30 | 2 | | 31 | 13 | | 32 | 12 | | 33 | 18 | | 34 | 8 | | 35 | 4 | | 36 | 7 | | 37 | 7 | | 38 | 18 | | 39 | 3 | | 40 | 3 | | 41 | 7 | | 42 | 5 | | 43 | 2 | | 44 | 7 | | 45 | 22 | | 46 | 3 | | 47 | 6 | | 48 | 8 | | 49 | 3 |
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| 72.98% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.44696969696969696 | | totalSentences | 132 | | uniqueOpeners | 59 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 27.06% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 85 | | matches | | 0 | "She blinked at the ceiling," | | 1 | "She grabbed the baseball bat" | | 2 | "His amber eye caught the" | | 3 | "His mouth twitched." | | 4 | "She stepped aside" | | 5 | "He draped the coat over" | | 6 | "He touched his temple where" | | 7 | "She tossed the bat onto" | | 8 | "He watched her kneel in" | | 9 | "She dabbed at the cut" | | 10 | "His breath hitched when the" | | 11 | "His black eye darkened further." | | 12 | "She pressed the gauze harder" | | 13 | "he said finally" | | 14 | "Her hand stilled." | | 15 | "His fingers brushed hers as" | | 16 | "He studied her face" | | 17 | "She stood, suddenly aware of" | | 18 | "His cane tapped against the" | | 19 | "She laughed, sharp and brittle" |
| | ratio | 0.482 | |
| 24.71% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 85 | | matches | | 0 | "The knock came at three" | | 1 | "She blinked at the ceiling," | | 2 | "The flat was dark except" | | 3 | "Ptolemy twitched his tail against" | | 4 | "She grabbed the baseball bat" | | 5 | "The floorboards creaked underfoot." | | 6 | "His amber eye caught the" | | 7 | "Rory exhaled through her nose." | | 8 | "The door swung open." | | 9 | "Rain dripped from the hem" | | 10 | "His mouth twitched." | | 11 | "She stepped aside" | | 12 | "Lucien limped past her, leaning" | | 13 | "The ivory handle gleamed under" | | 14 | "Water darkened the shoulders of" | | 15 | "He draped the coat over" | | 16 | "Rory shut the door." | | 17 | "He touched his temple where" | | 18 | "She tossed the bat onto" | | 19 | "The medicine cabinet yielded gauze," |
| | ratio | 0.871 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 1 | | matches | | 0 | "Up close, she caught the faint sulfur scent that clung to him after he used his demon abilities." |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "She remembered, her back against the liquor shelves" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "She laughed (laugh)" | | 1 | "He retracted (retract)" |
| | dialogueSentences | 52 | | tagDensity | 0.096 | | leniency | 0.192 | | rawRatio | 0.4 | | effectiveRatio | 0.077 | |