| 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 | |
| 70.72% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 683 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "suddenly" | | 1 | "nervously" | | 2 | "very" |
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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) | |
| 4.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 683 | | totalAiIsms | 13 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "warmth" | | 1 | "raced" | | 2 | "pulse" | | 3 | "pounding" | | 4 | "flicker" | | 5 | "silence" | | 6 | "could feel" | | 7 | "racing" | | 8 | "searing" | | 9 | "the last thing" |
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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 | 48 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 7 | | narrationSentences | 48 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "managed to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 52 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 682 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 44.48% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 616 | | uniqueNames | 5 | | maxNameDensity | 2.11 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 2 | | Silence | 1 | | Rory | 13 |
| | persons | | | places | | | globalScore | 0.445 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 6 | | matches | | 0 | "warmth that seemed to beckon her forward" | | 1 | "felt like a brand against her skin" | | 2 | "quite explain" | | 3 | "not quite human" | | 4 | "It was as if the very ground had become quicksand, pulling her down into its embrace" | | 5 | "eyes that seemed to pierce her very soul" |
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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 | 682 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 52 | | matches | (empty) | |
| 78.52% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 19 | | mean | 35.89 | | std | 15.25 | | cv | 0.425 | | sampleLengths | | 0 | 67 | | 1 | 36 | | 2 | 50 | | 3 | 36 | | 4 | 12 | | 5 | 47 | | 6 | 10 | | 7 | 40 | | 8 | 51 | | 9 | 47 | | 10 | 22 | | 11 | 42 | | 12 | 19 | | 13 | 35 | | 14 | 27 | | 15 | 20 | | 16 | 45 | | 17 | 55 | | 18 | 21 |
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| 97.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 48 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 110 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 52 | | ratio | 0 | | matches | (empty) | |
| 85.36% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 617 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.05672609400324149 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.009724473257698542 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 52 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 52 | | mean | 13.12 | | std | 5.6 | | cv | 0.427 | | sampleLengths | | 0 | 16 | | 1 | 19 | | 2 | 20 | | 3 | 12 | | 4 | 12 | | 5 | 24 | | 6 | 19 | | 7 | 16 | | 8 | 15 | | 9 | 6 | | 10 | 9 | | 11 | 1 | | 12 | 8 | | 13 | 12 | | 14 | 12 | | 15 | 5 | | 16 | 12 | | 17 | 12 | | 18 | 18 | | 19 | 8 | | 20 | 2 | | 21 | 1 | | 22 | 8 | | 23 | 13 | | 24 | 18 | | 25 | 5 | | 26 | 14 | | 27 | 17 | | 28 | 15 | | 29 | 9 | | 30 | 16 | | 31 | 13 | | 32 | 9 | | 33 | 17 | | 34 | 5 | | 35 | 15 | | 36 | 27 | | 37 | 19 | | 38 | 11 | | 39 | 9 | | 40 | 15 | | 41 | 12 | | 42 | 15 | | 43 | 8 | | 44 | 12 | | 45 | 12 | | 46 | 19 | | 47 | 14 | | 48 | 16 | | 49 | 18 |
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| 83.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5 | | totalSentences | 52 | | uniqueOpeners | 26 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 45 | | matches | | 0 | "Suddenly, a twig snapped behind" | | 1 | "Just the endless expanse of" |
| | ratio | 0.044 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 45 | | matches | | 0 | "She'd come here on a" | | 1 | "she muttered to herself, taking" | | 2 | "She laughed nervously, trying to" | | 3 | "she whispered, turning back to" | | 4 | "Her breath caught in her" | | 5 | "She took a step back," | | 6 | "It seemed to come from" | | 7 | "She turned to run, but" | | 8 | "It was as if the" | | 9 | "She found herself face to" | | 10 | "she lied, her mind racing" | | 11 | "She felt herself being pulled" |
| | ratio | 0.267 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 36 | | totalSentences | 45 | | matches | | 0 | "Rory stood at the edge" | | 1 | "The Heartstone pendant hung heavy" | | 2 | "She'd come here on a" | | 3 | "she muttered to herself, taking" | | 4 | "The grass beneath her feet" | | 5 | "The pendant grew warmer with" | | 6 | "Rory's heart raced, but she" | | 7 | "Rory whirled around, her pulse" | | 8 | "She laughed nervously, trying to" | | 9 | "she whispered, turning back to" | | 10 | "A flicker of movement between" | | 11 | "Her breath caught in her" | | 12 | "Rory called out, her voice" | | 13 | "The grove seemed to hold" | | 14 | "Rory's hand instinctively moved to" | | 15 | "She took a step back," | | 16 | "That's when she heard it." | | 17 | "A soft, melodic humming, like" | | 18 | "It seemed to come from" | | 19 | "Rory's skin crawled as the" |
| | ratio | 0.8 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 45 | | matches | | 0 | "Now, standing at the threshold" |
| | ratio | 0.022 | |
| 44.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 4 | | matches | | 0 | "The Heartstone pendant hung heavy against her chest, pulsing with a faint warmth that seemed to beckon her forward." | | 1 | "She'd come here on a whim, following an inexplicable pull that had woken her in the middle of the night." | | 2 | "The grass beneath her feet felt unnaturally soft, almost spongy, and the air carried a sweet, cloying scent that reminded her of rotting flowers." | | 3 | "The trees were no longer still, but writhing like living things, their branches reaching out to embrace her." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 3 | | matches | | 0 | "Rory called out, her voice trembling" | | 1 | "Rory managed, her voice barely audible over the pounding of her heart" | | 2 | "she lied, her mind racing for an escape" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 7 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" | | 2 | "Rory called out (call out)" | | 3 | "a voice whispered (whisper)" | | 4 | "it hissed (hiss)" | | 5 | "she lied (lie)" | | 6 | "the figure whispered (whisper)" |
| | dialogueSentences | 12 | | tagDensity | 0.583 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |