| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1106 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "quickly" | | 1 | "sharply" | | 2 | "utterly" |
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| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1106 | | totalAiIsms | 28 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "chill" | | 1 | "pulsed" | | 2 | "warmth" | | 3 | "vibrated" | | 4 | "whisper" | | 5 | "trembled" | | 6 | "imposing" | | 7 | "pulse" | | 8 | "raced" | | 9 | "scanning" | | 10 | "flickered" | | 11 | "echoed" | | 12 | "shattered" | | 13 | "silence" | | 14 | "gloom" | | 15 | "loomed" | | 16 | "pounding" | | 17 | "echoing" |
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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 | 130 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 130 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 135 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1101 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 1046 | | uniqueNames | 3 | | maxNameDensity | 0.96 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Grove" | | discoveredNames | | | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 96.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 94 | | glossingSentenceCount | 2 | | matches | | 0 | "quite catch" | | 1 | "seemed endless its boundaries shifting with every step" |
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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 | 1101 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 135 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 35.52 | | std | 18.43 | | cv | 0.519 | | sampleLengths | | 0 | 77 | | 1 | 52 | | 2 | 47 | | 3 | 64 | | 4 | 35 | | 5 | 44 | | 6 | 6 | | 7 | 48 | | 8 | 49 | | 9 | 41 | | 10 | 56 | | 11 | 7 | | 12 | 40 | | 13 | 10 | | 14 | 66 | | 15 | 15 | | 16 | 39 | | 17 | 35 | | 18 | 14 | | 19 | 31 | | 20 | 38 | | 21 | 12 | | 22 | 38 | | 23 | 10 | | 24 | 43 | | 25 | 47 | | 26 | 35 | | 27 | 24 | | 28 | 37 | | 29 | 37 | | 30 | 4 |
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| 99.87% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 130 | | matches | | 0 | "being watched" | | 1 | "were made" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 203 | | matches | | 0 | "wasn’t imagining" | | 1 | "was coming" | | 2 | "was running" |
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| 58.20% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 135 | | ratio | 0.03 | | matches | | 0 | "She turned back—and froze." | | 1 | "Another sound joined it—a soft rustling, like fabric brushing against leaves." | | 2 | "The sound was unmistakable—deep, guttural, and utterly devoid of warmth." | | 3 | "She took a step forward—and froze." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 97 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 2 | | adverbRatio | 0.020618556701030927 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.010309278350515464 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 135 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 135 | | mean | 8.16 | | std | 4.22 | | cv | 0.517 | | sampleLengths | | 0 | 22 | | 1 | 13 | | 2 | 18 | | 3 | 15 | | 4 | 9 | | 5 | 5 | | 6 | 11 | | 7 | 14 | | 8 | 1 | | 9 | 5 | | 10 | 16 | | 11 | 10 | | 12 | 9 | | 13 | 1 | | 14 | 5 | | 15 | 3 | | 16 | 8 | | 17 | 11 | | 18 | 14 | | 19 | 9 | | 20 | 3 | | 21 | 10 | | 22 | 16 | | 23 | 12 | | 24 | 6 | | 25 | 3 | | 26 | 8 | | 27 | 5 | | 28 | 3 | | 29 | 5 | | 30 | 5 | | 31 | 5 | | 32 | 6 | | 33 | 12 | | 34 | 5 | | 35 | 1 | | 36 | 11 | | 37 | 4 | | 38 | 6 | | 39 | 14 | | 40 | 3 | | 41 | 4 | | 42 | 9 | | 43 | 7 | | 44 | 3 | | 45 | 8 | | 46 | 6 | | 47 | 2 | | 48 | 8 | | 49 | 11 |
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| 40.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.21481481481481482 | | totalSentences | 135 | | uniqueOpeners | 29 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 122 | | matches | | 0 | "Just her imagination." | | 1 | "Just her eyes playing tricks." | | 2 | "Just the wind." | | 3 | "Just the standing stones, dark" | | 4 | "Probably her mind conjuring shapes" |
| | ratio | 0.041 | |
| 29.84% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 58 | | totalSentences | 122 | | matches | | 0 | "Her breath came in shallow" | | 1 | "She’d come here on a" | | 2 | "She crouched to touch one," | | 3 | "She stood quickly, brushing her" | | 4 | "She turned, slow, her heart" | | 5 | "She swallowed hard, forcing herself" | | 6 | "It vibrated in her chest," | | 7 | "She stopped, listening." | | 8 | "It was everywhere and nowhere," | | 9 | "Her fingers trembled as she" | | 10 | "She stared, unblinking, but the" | | 11 | "She took another step forward." | | 12 | "Her skin prickled, the feeling" | | 13 | "She glanced over her shoulder." | | 14 | "She turned back—and froze." | | 15 | "It was too far away" | | 16 | "She hesitated, torn between calling" | | 17 | "It didn’t walk." | | 18 | "It glided, unnaturally smooth, vanishing" | | 19 | "She exhaled sharply, her breath" |
| | ratio | 0.475 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 115 | | totalSentences | 122 | | matches | | 0 | "The air in the Fae" | | 1 | "Her breath came in shallow" | | 2 | "The pendant around her neck" | | 3 | "She’d come here on a" | | 4 | "Something about this place, they’d" | | 5 | "The Grove was unnaturally still." | | 6 | "Wildflowers blanketed the ground, their" | | 7 | "She crouched to touch one," | | 8 | "Flowers shouldn’t feel like that." | | 9 | "She stood quickly, brushing her" | | 10 | "The crunch of dry leaves" | | 11 | "She turned, slow, her heart" | | 12 | "The clearing stretched empty, silent." | | 13 | "She swallowed hard, forcing herself" | | 14 | "The pendant’s warmth grew stronger," | | 15 | "A low hum began, so" | | 16 | "It vibrated in her chest," | | 17 | "She stopped, listening." | | 18 | "The sound didn’t come from" | | 19 | "It was everywhere and nowhere," |
| | ratio | 0.943 | |
| 40.98% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 122 | | matches | | 0 | "Before she could decide, the" |
| | ratio | 0.008 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 2 | | matches | | 0 | "It grinned, its mouth stretching too wide, revealing teeth that glinted like shards of glass." | | 1 | "She scrambled to her feet, her legs shaking but holding." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 3 | | matches | | 0 | "it purred, its voice dripping with amusement" | | 1 | "It stepped, its movements unnervingly smooth" | | 2 | "it purred, its voice dripping with mockery" |
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| 66.67% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 12 | | tagDensity | 0.083 | | leniency | 0.167 | | rawRatio | 1 | | effectiveRatio | 0.167 | |