| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 69.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 995 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "really" | | 1 | "softly" | | 2 | "slowly" | | 3 | "sharply" | | 4 | "tightly" |
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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 | 995 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | word | "down her spine" | | count | 1 |
| | 12 | | | 13 | |
| | highlights | | 0 | "weight" | | 1 | "whisper" | | 2 | "scanning" | | 3 | "footsteps" | | 4 | "echoing" | | 5 | "silence" | | 6 | "pounding" | | 7 | "pulsed" | | 8 | "loomed" | | 9 | "could feel" | | 10 | "chill" | | 11 | "down her spine" | | 12 | "warmth" | | 13 | "pulse" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
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| | highlights | | 0 | "heart pounded in her chest" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 87 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 87 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 88 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 992 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 970 | | uniqueNames | 3 | | maxNameDensity | 0.82 | | worstName | "Grove" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Grove" | | discoveredNames | | | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed different now, the shadows deeper, the silence heavier" |
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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 | 992 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 88 | | matches | (empty) | |
| 59.07% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 21 | | mean | 47.24 | | std | 16.85 | | cv | 0.357 | | sampleLengths | | 0 | 81 | | 1 | 41 | | 2 | 53 | | 3 | 48 | | 4 | 82 | | 5 | 59 | | 6 | 25 | | 7 | 55 | | 8 | 21 | | 9 | 58 | | 10 | 51 | | 11 | 56 | | 12 | 53 | | 13 | 26 | | 14 | 49 | | 15 | 38 | | 16 | 48 | | 17 | 46 | | 18 | 51 | | 19 | 40 | | 20 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 87 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 161 | | matches | | |
| 45.45% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 88 | | ratio | 0.034 | | matches | | 0 | "A sound stopped her mid-step — a soft, wet crunch, like footsteps on damp earth." | | 1 | "Another sound — a faint giggle, high-pitched and mocking, echoing from somewhere to her left." | | 2 | "At its center stood a tree unlike any she’d ever seen — its bark black and smooth, its branches twisted into unnatural shapes." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 72 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 2 | | adverbRatio | 0.027777777777777776 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 88 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 88 | | mean | 11.27 | | std | 5.09 | | cv | 0.452 | | sampleLengths | | 0 | 19 | | 1 | 18 | | 2 | 19 | | 3 | 17 | | 4 | 5 | | 5 | 3 | | 6 | 5 | | 7 | 2 | | 8 | 18 | | 9 | 16 | | 10 | 4 | | 11 | 2 | | 12 | 19 | | 13 | 4 | | 14 | 16 | | 15 | 8 | | 16 | 15 | | 17 | 9 | | 18 | 1 | | 19 | 11 | | 20 | 12 | | 21 | 13 | | 22 | 15 | | 23 | 23 | | 24 | 13 | | 25 | 8 | | 26 | 10 | | 27 | 15 | | 28 | 8 | | 29 | 10 | | 30 | 13 | | 31 | 13 | | 32 | 14 | | 33 | 11 | | 34 | 10 | | 35 | 16 | | 36 | 9 | | 37 | 8 | | 38 | 12 | | 39 | 11 | | 40 | 4 | | 41 | 6 | | 42 | 8 | | 43 | 23 | | 44 | 9 | | 45 | 10 | | 46 | 8 | | 47 | 11 | | 48 | 11 | | 49 | 16 |
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| 42.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.26136363636363635 | | totalSentences | 88 | | uniqueOpeners | 23 | |
| 81.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 82 | | matches | | 0 | "Instead, there was nothing." | | 1 | "Just the faint whisper of" |
| | ratio | 0.024 | |
| 63.90% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 32 | | totalSentences | 82 | | matches | | 0 | "She adjusted the strap of" | | 1 | "She didn’t trust the stone." | | 2 | "It had been warm all" | | 3 | "She turned sharply, her hand" | | 4 | "She exhaled, her breath visible" | | 5 | "She’d always wondered how she" | | 6 | "She turned her head slowly," | | 7 | "she called, her voice steady" | | 8 | "She moved faster now, her" | | 9 | "She spun around, but there" | | 10 | "Her breath came in short," | | 11 | "she snapped, her voice sharper" | | 12 | "It only watched, silent and" | | 13 | "She stepped into the clearing," | | 14 | "She could feel its presence," | | 15 | "It was too tall, too" | | 16 | "Its head tilted to the" | | 17 | "Her heart pounded in her" | | 18 | "She could feel its eyes" | | 19 | "she demanded, her voice trembling" |
| | ratio | 0.39 | |
| 2.68% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 82 | | matches | | 0 | "The air in the Grove" | | 1 | "Rory stepped over the threshold" | | 2 | "The Heartstone pendant hung heavy" | | 3 | "She adjusted the strap of" | | 4 | "She didn’t trust the stone." | | 5 | "It had been warm all" | | 6 | "The Grove was silent." | | 7 | "The wildflowers lining the path" | | 8 | "Rory walked slowly, her eyes" | | 9 | "A sound stopped her mid-step" | | 10 | "She turned sharply, her hand" | | 11 | "The path behind her was" | | 12 | "She exhaled, her breath visible" | | 13 | "The deeper she ventured, the" | | 14 | "The path, once clear and" | | 15 | "The wildflowers, vibrant and colorful" | | 16 | "Rory paused, her fingers brushing" | | 17 | "A childhood accident, her mother" | | 18 | "She’d always wondered how she" | | 19 | "Another sound — a faint" |
| | ratio | 0.915 | |
| 60.98% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 82 | | matches | | 0 | "Now, under the pale light" |
| | ratio | 0.012 | |
| 85.71% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 4 | | matches | | 0 | "Rory stepped over the threshold of the ancient oak standing stones, her boots crunching on the frost-kissed grass." | | 1 | "The pendant swung against her chest, its glow intensifying, casting long shadows that danced around her." | | 2 | "Its head tilted to the side, and it stepped forward with a grace that was insect-like, unnatural." | | 3 | "She stood there for a moment, her chest heaving, her fingers still clutching the pendant." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 4 | | matches | | 0 | "She adjusted, the weight of Silas’ cryptic instructions pressing on her mind" | | 1 | "she called, her voice steady despite the unease creeping up her spine" | | 2 | "she snapped, her voice sharper than she intended" | | 3 | "she demanded, her voice trembling now" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "she snapped (snap)" | | 1 | "she demanded (demand)" |
| | dialogueSentences | 5 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0.667 | | effectiveRatio | 0.667 | |