| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 60.23% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 880 | | totalAiIsmAdverbs | 7 | | found | | 0 | | adverb | "reluctantly" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | |
| | highlights | | 0 | "reluctantly" | | 1 | "slowly" | | 2 | "suddenly" | | 3 | "perfectly" | | 4 | "slightly" | | 5 | "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) | |
| 14.77% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 880 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "weight" | | 1 | "familiar" | | 2 | "sentinels" | | 3 | "loomed" | | 4 | "silence" | | 5 | "throb" | | 6 | "pulse" | | 7 | "flicker" | | 8 | "tracing" | | 9 | "pulsed" | | 10 | "echoed" | | 11 | "scanning" | | 12 | "intensity" | | 13 | "throbbed" |
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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 | 110 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 110 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 120 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 8 | | totalWords | 873 | | ratio | 0.009 | | matches | | 0 | "‘The stones. Tonight. It’s waking up.’" | | 1 | "did" | | 2 | "that" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 823 | | uniqueNames | 10 | | maxNameDensity | 0.61 | | worstName | "Grove" | | maxWindowNameDensity | 2 | | worstWindowName | "Isolde" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Grove | 5 | | Eva | 2 | | Golden | 1 | | Empress | 1 | | Heartstone | 4 | | Pendant | 1 | | Isolde | 4 | | Rory | 3 |
| | persons | | 0 | "Eva" | | 1 | "Heartstone" | | 2 | "Isolde" | | 3 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like it was burning a hole through" |
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| 85.45% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.145 | | wordCount | 873 | | matches | | 0 | "Not the scent of late-blooming wildflowers, but something manufactured" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 120 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 24.25 | | std | 16.72 | | cv | 0.689 | | sampleLengths | | 0 | 48 | | 1 | 59 | | 2 | 45 | | 3 | 54 | | 4 | 47 | | 5 | 26 | | 6 | 17 | | 7 | 2 | | 8 | 34 | | 9 | 29 | | 10 | 1 | | 11 | 46 | | 12 | 35 | | 13 | 41 | | 14 | 3 | | 15 | 43 | | 16 | 21 | | 17 | 21 | | 18 | 4 | | 19 | 2 | | 20 | 47 | | 21 | 22 | | 22 | 9 | | 23 | 25 | | 24 | 28 | | 25 | 15 | | 26 | 15 | | 27 | 5 | | 28 | 26 | | 29 | 2 | | 30 | 8 | | 31 | 33 | | 32 | 22 | | 33 | 17 | | 34 | 16 | | 35 | 5 |
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| 98.88% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 110 | | matches | | |
| 49.62% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 133 | | matches | | 0 | "was holding" | | 1 | "was directing" | | 2 | "was burning" |
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| 71.43% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 120 | | ratio | 0.025 | | matches | | 0 | "The park’s usual nighttime sounds—the rustle of unseen animals, distant city hum—felt muted, swallowed by something thicker." | | 1 | "A flicker of movement caught her eye—a dark shape at the periphery of her vision." | | 2 | "Its eyes—large, black, and utterly devoid of pupils—fixed on her with unsettling intensity." |
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| 92.66% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 62 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 3 | | adverbRatio | 0.04838709677419355 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.016129032258064516 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 120 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 120 | | mean | 7.28 | | std | 5.4 | | cv | 0.743 | | sampleLengths | | 0 | 19 | | 1 | 8 | | 2 | 15 | | 3 | 2 | | 4 | 1 | | 5 | 3 | | 6 | 20 | | 7 | 9 | | 8 | 3 | | 9 | 2 | | 10 | 6 | | 11 | 19 | | 12 | 17 | | 13 | 12 | | 14 | 9 | | 15 | 1 | | 16 | 6 | | 17 | 16 | | 18 | 18 | | 19 | 8 | | 20 | 9 | | 21 | 3 | | 22 | 13 | | 23 | 2 | | 24 | 23 | | 25 | 9 | | 26 | 5 | | 27 | 7 | | 28 | 1 | | 29 | 4 | | 30 | 5 | | 31 | 1 | | 32 | 3 | | 33 | 7 | | 34 | 10 | | 35 | 2 | | 36 | 9 | | 37 | 7 | | 38 | 1 | | 39 | 3 | | 40 | 8 | | 41 | 6 | | 42 | 6 | | 43 | 8 | | 44 | 8 | | 45 | 7 | | 46 | 1 | | 47 | 8 | | 48 | 14 | | 49 | 4 |
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| 75.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.475 | | totalSentences | 120 | | uniqueOpeners | 57 | |
| 76.63% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 87 | | matches | | 0 | "Just shadows playing tricks." | | 1 | "More a slow, creeping dread" |
| | ratio | 0.023 | |
| 95.86% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 87 | | matches | | 0 | "She adjusted the strap of" | | 1 | "She shivered, pulling her jacket" | | 2 | "They loomed, three weathered monoliths" | | 3 | "She remembered Isolde, the woman" | | 4 | "She exhaled slowly, berating herself." | | 5 | "she called out, her voice" | | 6 | "It sounded too loud, a" | | 7 | "She stepped inside the circle," | | 8 | "She hadn't felt it pulse" | | 9 | "She walked deeper into the" | | 10 | "She turned, focusing, but it" | | 11 | "They didn’t glide." | | 12 | "It wasn’t a sudden, shocking" | | 13 | "She ran a hand across" | | 14 | "She reached inside her messenger" | | 15 | "Her hand closed around the" | | 16 | "They weren’t bone." | | 17 | "she muttered, her voice trembling" | | 18 | "It was directing her, she" | | 19 | "She took a tentative step" |
| | ratio | 0.31 | |
| 86.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 87 | | matches | | 0 | "The wrought iron gate groaned" | | 1 | "Rory hadn’t been back to" | | 2 | "She adjusted the strap of" | | 3 | "The Heartstone Pendant." | | 4 | "A hazy memory of a" | | 5 | "The park’s usual nighttime sounds—the" | | 6 | "The air hung heavy, laced" | | 7 | "She shivered, pulling her jacket" | | 8 | "The path narrowed, twisting away" | | 9 | "The ancient oaks stood like" | | 10 | "They loomed, three weathered monoliths" | | 11 | "She remembered Isolde, the woman" | | 12 | "Isolde, who'd vanished without a" | | 13 | "A twig snapped behind her." | | 14 | "Rory whirled, heart hammering against" | | 15 | "She exhaled slowly, berating herself." | | 16 | "That was all." | | 17 | "she called out, her voice" | | 18 | "It sounded too loud, a" | | 19 | "She stepped inside the circle," |
| | ratio | 0.747 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 87 | | matches | | 0 | "Even after all this time," | | 1 | "Though deer didn't normally move" |
| | ratio | 0.023 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 1 | | matches | | 0 | "The clearing was exactly as she remembered, a small haven bathed in an ethereal, internal light that had nothing to do with the moon." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 4 | | matches | | 0 | "she called out, her voice tight" | | 1 | "she muttered, her voice trembling slightly" | | 2 | "she demanded, her voice stronger now, fueled by rising panic" | | 3 | "the figure said, its voice a silken rasp" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "she called out (call out)" | | 1 | "she muttered (mutter)" | | 2 | "she demanded (demand)" |
| | dialogueSentences | 13 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0.75 | | effectiveRatio | 0.462 | |