| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 2 | | adverbTags | | 0 | "her knuckles whitening around [around]" | | 1 | "Eva asked suddenly [suddenly]" |
| | dialogueSentences | 51 | | tagDensity | 0.176 | | leniency | 0.353 | | rawRatio | 0.222 | | effectiveRatio | 0.078 | |
| 77.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1093 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "really" | | 2 | "suddenly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 54.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1093 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "flickered" | | 1 | "weight" | | 2 | "scanned" | | 3 | "familiar" | | 4 | "flicked" | | 5 | "trembled" | | 6 | "silence" | | 7 | "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 | 1 | | narrationSentences | 84 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 84 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 126 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 30 | | totalWords | 1086 | | ratio | 0.028 | | matches | | 0 | "The Raven’s Nest" | | 1 | "Hey, Rory, I’m running off to join a cult because my life is a mess and I don’t know how to fix it" | | 2 | "this" | | 3 | "The Raven’s Nest" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 800 | | uniqueNames | 4 | | maxNameDensity | 3.25 | | worstName | "Rory" | | maxWindowNameDensity | 6 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | 0 | "Raven" | | 1 | "Rory" | | 2 | "Silas" | | 3 | "Eva" |
| | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1086 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 126 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 19.75 | | std | 19.14 | | cv | 0.969 | | sampleLengths | | 0 | 86 | | 1 | 4 | | 2 | 75 | | 3 | 1 | | 4 | 22 | | 5 | 55 | | 6 | 9 | | 7 | 16 | | 8 | 3 | | 9 | 18 | | 10 | 31 | | 11 | 12 | | 12 | 40 | | 13 | 9 | | 14 | 13 | | 15 | 9 | | 16 | 34 | | 17 | 9 | | 18 | 9 | | 19 | 22 | | 20 | 8 | | 21 | 3 | | 22 | 4 | | 23 | 29 | | 24 | 8 | | 25 | 59 | | 26 | 7 | | 27 | 25 | | 28 | 35 | | 29 | 11 | | 30 | 67 | | 31 | 23 | | 32 | 12 | | 33 | 30 | | 34 | 6 | | 35 | 15 | | 36 | 5 | | 37 | 9 | | 38 | 51 | | 39 | 7 | | 40 | 7 | | 41 | 3 | | 42 | 5 | | 43 | 9 | | 44 | 14 | | 45 | 15 | | 46 | 29 | | 47 | 10 | | 48 | 3 | | 49 | 13 |
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| 88.55% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 84 | | matches | | 0 | "was hunched" | | 1 | "was turned" | | 2 | "were shadowed" | | 3 | "was braced" |
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| 63.95% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 147 | | matches | | 0 | "was speaking" | | 1 | "was watching" | | 2 | "was looking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 126 | | ratio | 0.063 | | matches | | 0 | "The bar was quieter than usual—just a handful of regulars nursing their drinks in the dim glow of vintage lamps, the murmur of conversation low and intimate." | | 1 | "He was turned away from her, but she’d know that profile anywhere—the sharp angle of his jaw, the way his signet ring glinted even in the half-light." | | 2 | "Maybe—" | | 3 | "Her eyes—once bright with mischief—were shadowed, the skin beneath them faintly bruised." | | 4 | "Rory looked at her then—really looked." | | 5 | "Maybe it was the way Eva held herself—like she was braced for a blow." | | 6 | "Eva grinned, and for a second, she was the girl Rory had known—the one with wild eyes and a laugh that could fill a room." | | 7 | "Rory looked at her—really looked." |
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| 93.90% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 809 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.04697156983930779 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007416563658838072 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 126 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 126 | | mean | 8.62 | | std | 7.4 | | cv | 0.859 | | sampleLengths | | 0 | 29 | | 1 | 27 | | 2 | 25 | | 3 | 5 | | 4 | 4 | | 5 | 25 | | 6 | 27 | | 7 | 16 | | 8 | 6 | | 9 | 1 | | 10 | 1 | | 11 | 10 | | 12 | 10 | | 13 | 2 | | 14 | 18 | | 15 | 12 | | 16 | 22 | | 17 | 3 | | 18 | 9 | | 19 | 10 | | 20 | 6 | | 21 | 2 | | 22 | 1 | | 23 | 8 | | 24 | 10 | | 25 | 7 | | 26 | 16 | | 27 | 8 | | 28 | 9 | | 29 | 3 | | 30 | 11 | | 31 | 14 | | 32 | 15 | | 33 | 8 | | 34 | 1 | | 35 | 10 | | 36 | 3 | | 37 | 3 | | 38 | 6 | | 39 | 15 | | 40 | 11 | | 41 | 8 | | 42 | 6 | | 43 | 3 | | 44 | 5 | | 45 | 4 | | 46 | 15 | | 47 | 7 | | 48 | 6 | | 49 | 2 |
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| 41.27% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.29365079365079366 | | totalSentences | 126 | | uniqueOpeners | 37 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 76 | | matches | | 0 | "Then she saw him." | | 1 | "Maybe she should come back" | | 2 | "Just gave Rory a small" | | 3 | "Maybe it was the way" | | 4 | "Maybe it was the way" | | 5 | "Then she nodded." |
| | ratio | 0.079 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 76 | | matches | | 0 | "She shook the water from" | | 1 | "He wasn’t behind the counter." | | 2 | "He was turned away from" | | 3 | "He was speaking to someone," | | 4 | "It was softer, rougher, like" | | 5 | "Her eyes—once bright with mischief—were" | | 6 | "She wore a leather jacket" | | 7 | "she said, and the name" | | 8 | "His hazel eyes flicked between" | | 9 | "She wanted to ask where" | | 10 | "They walked out into the" | | 11 | "She didn’t need to." |
| | ratio | 0.158 | |
| 32.37% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 76 | | matches | | 0 | "The green neon sign of" | | 1 | "The bar was quieter than" | | 2 | "She shook the water from" | | 3 | "He wasn’t behind the counter." | | 4 | "Silas was hunched over a" | | 5 | "He was turned away from" | | 6 | "He was speaking to someone," | | 7 | "The voice was familiar, but" | | 8 | "It was softer, rougher, like" | | 9 | "Eva stood there, her dark" | | 10 | "Her eyes—once bright with mischief—were" | | 11 | "She wore a leather jacket" | | 12 | "Rory’s breath caught." | | 13 | "she said, and the name" | | 14 | "Eva’s lips curved, but the" | | 15 | "Eva gestured to the stool" | | 16 | "Rory hesitated, then slid onto" | | 17 | "The wood was warm beneath" | | 18 | "Eva’s fingers tapped against the" | | 19 | "Silas appeared then, setting two" |
| | ratio | 0.855 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, and the name tasted like dust" | | 1 | "Eva’s fingers tapped, restless" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 51 | | tagDensity | 0.059 | | leniency | 0.118 | | rawRatio | 0 | | effectiveRatio | 0 | |