| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 43 | | tagDensity | 0.116 | | leniency | 0.233 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1160 | | totalAiIsmAdverbs | 1 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "barely above a whisper" |
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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) | |
| 61.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1160 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "flickered" | | 1 | "weight" | | 2 | "flicked" | | 3 | "tension" | | 4 | "stomach" | | 5 | "silence" | | 6 | "whisper" | | 7 | "echo" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | 0 | "The weight of his words" | | 1 | "sent a shiver through" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 85 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 85 | | 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 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1154 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 858 | | uniqueNames | 6 | | maxNameDensity | 1.28 | | worstName | "Evan" | | maxWindowNameDensity | 3 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Rory | 8 | | Evan | 11 | | London | 1 | | Silas | 7 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Evan" | | 4 | "Silas" |
| | places | | | globalScore | 0.859 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a man who’d carried things he" |
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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 | 1154 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 126 | | matches | | 0 | "care, that she’don, that the" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 19.9 | | std | 18.29 | | cv | 0.919 | | sampleLengths | | 0 | 82 | | 1 | 4 | | 2 | 17 | | 3 | 9 | | 4 | 53 | | 5 | 6 | | 6 | 31 | | 7 | 65 | | 8 | 3 | | 9 | 1 | | 10 | 34 | | 11 | 11 | | 12 | 12 | | 13 | 4 | | 14 | 24 | | 15 | 8 | | 16 | 21 | | 17 | 19 | | 18 | 5 | | 19 | 17 | | 20 | 53 | | 21 | 15 | | 22 | 29 | | 23 | 15 | | 24 | 9 | | 25 | 2 | | 26 | 13 | | 27 | 2 | | 28 | 2 | | 29 | 73 | | 30 | 32 | | 31 | 8 | | 32 | 4 | | 33 | 6 | | 34 | 8 | | 35 | 9 | | 36 | 26 | | 37 | 34 | | 38 | 1 | | 39 | 6 | | 40 | 19 | | 41 | 36 | | 42 | 50 | | 43 | 12 | | 44 | 6 | | 45 | 16 | | 46 | 19 | | 47 | 40 | | 48 | 5 | | 49 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 85 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 162 | | matches | | |
| 29.48% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 126 | | ratio | 0.04 | | matches | | 0 | "She shook the rain from her jacket, fingers brushing the crescent scar on her wrist—a habit she’d never quite shaken." | | 1 | "She’d always liked it here—no pretences, no questions." | | 2 | "His hands—once quick, always restless—were still now, as if he’d learned the hard way that some things weren’t meant to be grabbed." | | 3 | "But the ghost of his hands around her wrist, the echo of his voice raised in anger, the way she’d flinched at sudden movements for months after—those things didn’t just disappear." | | 4 | "And she saw the girl she’d been—scared, trapped, desperate for a way out." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 317 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.028391167192429023 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 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 | 9.16 | | std | 6.61 | | cv | 0.721 | | sampleLengths | | 0 | 26 | | 1 | 20 | | 2 | 13 | | 3 | 12 | | 4 | 11 | | 5 | 4 | | 6 | 2 | | 7 | 15 | | 8 | 6 | | 9 | 3 | | 10 | 11 | | 11 | 21 | | 12 | 8 | | 13 | 13 | | 14 | 6 | | 15 | 10 | | 16 | 21 | | 17 | 15 | | 18 | 15 | | 19 | 10 | | 20 | 13 | | 21 | 12 | | 22 | 3 | | 23 | 1 | | 24 | 9 | | 25 | 8 | | 26 | 5 | | 27 | 12 | | 28 | 10 | | 29 | 1 | | 30 | 9 | | 31 | 3 | | 32 | 2 | | 33 | 2 | | 34 | 18 | | 35 | 6 | | 36 | 8 | | 37 | 15 | | 38 | 6 | | 39 | 15 | | 40 | 4 | | 41 | 4 | | 42 | 1 | | 43 | 12 | | 44 | 5 | | 45 | 10 | | 46 | 21 | | 47 | 22 | | 48 | 10 | | 49 | 5 |
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| 53.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3492063492063492 | | totalSentences | 126 | | uniqueOpeners | 44 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 80 | | matches | | 0 | "Just the quiet understanding of" | | 1 | "Then the door swung open" | | 2 | "Then he stepped forward, the" | | 3 | "Just wiped the counter with" | | 4 | "Just a little." | | 5 | "Instead, he took a slow" |
| | ratio | 0.075 | |
| 85.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 80 | | matches | | 0 | "She shook the rain from" | | 1 | "His signet ring caught the" | | 2 | "She slid onto a stool," | | 3 | "She’d always liked it here—no" | | 4 | "His hair was darker than" | | 5 | "He looked like a man" | | 6 | "Her breath caught." | | 7 | "His head snapped up, eyes" | | 8 | "He knew better than to" | | 9 | "She arched a brow." | | 10 | "He rubbed his jaw, the" | | 11 | "She let the words hang" | | 12 | "He’d filled out, the leanness" | | 13 | "His hands—once quick, always restless—were" | | 14 | "He shrugged off his coat," | | 15 | "He sighed, running a hand" | | 16 | "She wrapped her fingers around" | | 17 | "He didn’t answer right away." | | 18 | "She’d spent years telling herself" | | 19 | "She wasn’t sure they were" |
| | ratio | 0.338 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 80 | | matches | | 0 | "The green neon sign of" | | 1 | "She shook the rain from" | | 2 | "The bar was quiet, the" | | 3 | "Silas stood behind the counter," | | 4 | "His signet ring caught the" | | 5 | "Silas chuckled, setting the glass" | | 6 | "She slid onto a stool," | | 7 | "The bar smelled of aged" | | 8 | "She’d always liked it here—no" | | 9 | "A gust of wind sent" | | 10 | "Rory didn’t turn, but" | | 11 | "The man in the doorway" | | 12 | "His hair was darker than" | | 13 | "He looked like a man" | | 14 | "Her breath caught." | | 15 | "The name slipped out before" | | 16 | "His head snapped up, eyes" | | 17 | "The air between them thickened," | | 18 | "Evan reached the bar, his" | | 19 | "Silas slid a glass toward" |
| | ratio | 0.8 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 80 | | matches | | 0 | "Now, the edges had softened," | | 1 | "Before the bruises, the late-night" | | 2 | "Before she’d packed a bag" |
| | ratio | 0.038 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 3 | | matches | | 0 | "Tall, broad-shouldered, with a face that had once been all sharp angles and easy grins." | | 1 | "He’d filled out, the leanness of his youth replaced by something heavier, something that spoke of long nights and longer regrets." | | 2 | "His hands—once quick, always restless—were still now, as if he’d learned the hard way that some things weren’t meant to be grabbed." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory didn’t, but Silas’ gaze flicked past her, his expression shifting just enough to make her glance over her shoulder" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 43 | | tagDensity | 0.023 | | leniency | 0.047 | | rawRatio | 1 | | effectiveRatio | 0.047 | |