| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1216 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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 | 1216 | | totalAiIsms | 25 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "loomed" | | 3 | "pulse" | | 4 | "stomach" | | 5 | "glistening" | | 6 | "could feel" | | 7 | "silence" | | 8 | "vibrated" | | 9 | "lurch" | | 10 | "glint" | | 11 | "trembled" | | 12 | "footsteps" | | 13 | "echoing" | | 14 | "searing" | | 15 | "familiar" |
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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 | 145 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 145 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 149 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 19 | | markdownWords | 20 | | totalWords | 1204 | | ratio | 0.017 | | matches | | 0 | "where" | | 1 | "should" | | 2 | "shifted" | | 3 | "leaned in" | | 4 | "wrong" | | 5 | "breathe" | | 6 | "moved" | | 7 | "burned" | | 8 | "screamed" | | 9 | "screamed" | | 10 | "step" | | 11 | "through" | | 12 | "teeth" | | 13 | "shifted" | | 14 | "smiled" | | 15 | "run" | | 16 | "shuddered" | | 17 | "hungry" | | 18 | "wrenched" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 78.69% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 1192 | | uniqueNames | 7 | | maxNameDensity | 1.43 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Carter | 1 | | Heartstone | 1 | | Silas | 1 | | Grove | 4 | | Aurora | 17 |
| | persons | | 0 | "Carter" | | 1 | "Silas" | | 2 | "Grove" | | 3 | "Aurora" |
| | places | | | globalScore | 0.787 | | windowScore | 0.833 | |
| 83.33% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 2 | | matches | | 0 | "something like wet moss and iron" | | 1 | "something between terror and relief" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.492 | | wordCount | 1204 | | matches | | 0 | "Not in words, not in whispers, but in a quiet insistence, like a muscle memory she hadn’t known" | | 1 | "not in whispers, but in a quiet insistence, like a muscle memory she hadn’t known" | | 2 | "not as trees, but as *teeth*" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 149 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 19.74 | | std | 22.06 | | cv | 1.118 | | sampleLengths | | 0 | 91 | | 1 | 69 | | 2 | 65 | | 3 | 5 | | 4 | 3 | | 5 | 82 | | 6 | 37 | | 7 | 4 | | 8 | 7 | | 9 | 2 | | 10 | 49 | | 11 | 3 | | 12 | 1 | | 13 | 25 | | 14 | 18 | | 15 | 2 | | 16 | 35 | | 17 | 4 | | 18 | 44 | | 19 | 3 | | 20 | 53 | | 21 | 9 | | 22 | 61 | | 23 | 36 | | 24 | 2 | | 25 | 2 | | 26 | 5 | | 27 | 19 | | 28 | 26 | | 29 | 5 | | 30 | 3 | | 31 | 8 | | 32 | 4 | | 33 | 3 | | 34 | 32 | | 35 | 2 | | 36 | 3 | | 37 | 40 | | 38 | 40 | | 39 | 15 | | 40 | 5 | | 41 | 19 | | 42 | 4 | | 43 | 14 | | 44 | 42 | | 45 | 3 | | 46 | 2 | | 47 | 43 | | 48 | 20 | | 49 | 1 |
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| 90.74% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 145 | | matches | | 0 | "been stretched" | | 1 | "been sucked" | | 2 | "was gone" | | 3 | "was gone" | | 4 | "was gone" | | 5 | "been stretched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 214 | | matches | | 0 | "was radiating" | | 1 | "was walking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 15 | | semicolonCount | 1 | | flaggedSentences | 14 | | totalSentences | 149 | | ratio | 0.094 | | matches | | 0 | "The air in Richmond Park was thick with the scent of damp earth and something older—something like wet moss and iron." | | 1 | "That’s what the benefactor had called it—though she’d never said *where* it was." | | 2 | "Not like a door opening, not like a veil lifting—more like the air itself had been stretched thin, then pulled taut." | | 3 | "The trees around her didn’t just lean closer; they *leaned in*, their branches twisting into shapes that made her stomach clench." | | 4 | "The silence that followed was worse—thicker, like the air had been sucked out of her lungs." | | 5 | "Just the way the wind—if it was wind—whispered through the leaves in a way that made her skin prickle." | | 6 | "The flowers themselves—petals trembling, stems bending in unison, as if something beneath the earth had stirred." | | 7 | "Not with sound—with a soundless wail that vibrated in her bones, that made her teeth ache." | | 8 | "And then—" | | 9 | "Its mouth—" | | 10 | "The scent hit her then—rot and something sweet, like decaying fruit left too long in the sun." | | 11 | "The thing took a step forward, its boots—if they were boots—sinking into the soil as if it were water." | | 12 | "Then—light." | | 13 | "Almost—" |
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| 89.22% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1204 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 63 | | adverbRatio | 0.05232558139534884 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004152823920265781 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 8.08 | | std | 6.38 | | cv | 0.79 | | sampleLengths | | 0 | 21 | | 1 | 23 | | 2 | 21 | | 3 | 26 | | 4 | 15 | | 5 | 9 | | 6 | 20 | | 7 | 2 | | 8 | 13 | | 9 | 10 | | 10 | 13 | | 11 | 4 | | 12 | 2 | | 13 | 11 | | 14 | 14 | | 15 | 4 | | 16 | 2 | | 17 | 15 | | 18 | 5 | | 19 | 3 | | 20 | 21 | | 21 | 21 | | 22 | 25 | | 23 | 15 | | 24 | 3 | | 25 | 12 | | 26 | 12 | | 27 | 10 | | 28 | 4 | | 29 | 7 | | 30 | 2 | | 31 | 18 | | 32 | 3 | | 33 | 9 | | 34 | 3 | | 35 | 16 | | 36 | 3 | | 37 | 1 | | 38 | 3 | | 39 | 3 | | 40 | 19 | | 41 | 2 | | 42 | 9 | | 43 | 4 | | 44 | 3 | | 45 | 2 | | 46 | 4 | | 47 | 10 | | 48 | 9 | | 49 | 12 |
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| 35.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.2483221476510067 | | totalSentences | 149 | | uniqueOpeners | 37 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 116 | | matches | | 0 | "Just that it would know" | | 1 | "Then she heard it." | | 2 | "Just the trees." | | 3 | "Just the flowers." | | 4 | "Just the way the wind—if" | | 5 | "Then the flowers *moved*." | | 6 | "Then she saw it." | | 7 | "Still warm, still pulsing faintly." |
| | ratio | 0.069 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 116 | | matches | | 0 | "She told herself it was" | | 1 | "She’d come here because the" | | 2 | "She should turn back." | | 3 | "She stepped between the stones." | | 4 | "She forced herself to move" | | 5 | "She could feel it vibrating," | | 6 | "She didn’t dare turn her" | | 7 | "She turned slowly." | | 8 | "Her voice came out too" | | 9 | "She cleared her throat." | | 10 | "She took another step." | | 11 | "She could feel it seeping" | | 12 | "She barely caught herself, her" | | 13 | "She yanked it free from" | | 14 | "She dropped it to the" | | 15 | "She didn’t turn." | | 16 | "She could see the standing" | | 17 | "Its limbs moved in ways" | | 18 | "Its skin was the color" | | 19 | "Its teeth were too many." |
| | ratio | 0.267 | |
| 41.90% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 116 | | matches | | 0 | "The air in Richmond Park" | | 1 | "Aurora Carter adjusted the strap" | | 2 | "The gemstone pulsed faintly, a" | | 3 | "She told herself it was" | | 4 | "The standing stones loomed ahead," | | 5 | "She’d come here because the" | | 6 | "That’s what the benefactor had" | | 7 | "Aurora exhaled through her nose," | | 8 | "The park was empty." | | 9 | "Tourists didn’t linger this deep" | | 10 | "The path beneath her boots" | | 11 | "She should turn back." | | 12 | "She stepped between the stones." | | 13 | "The world *shifted*." | | 14 | "The trees around her didn’t" | | 15 | "The wildflowers that should have" | | 16 | "The scent of them was" | | 17 | "Aurora’s breath hitched." | | 18 | "She forced herself to move" | | 19 | "The pendant’s warmth had turned" |
| | ratio | 0.836 | |
| 43.10% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 116 | | matches | | | ratio | 0.009 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 9 | | matches | | 0 | "The wildflowers that should have been dormant in winter bloomed in thick, unnatural clusters, their petals glistening with dew that wasn’t there a moment before…" | | 1 | "The flowers themselves—petals trembling, stems bending in unison, as if something beneath the earth had stirred." | | 2 | "The trees *screamed*, their bark splitting along the seams, sap weeping like tears." | | 3 | "Its limbs moved in ways that made her stomach lurch." | | 4 | "Its skin was the color of old parchment, stretched too tight over bones that didn’t look human." | | 5 | "The thing took a step forward, its boots—if they were boots—sinking into the soil as if it were water." | | 6 | "The standing stones groaned, their roots twisting like fingers reaching for her." | | 7 | "The standing stones trembled, their bark splitting further, sap dripping like blood." | | 8 | "Behind her, the Grove *wrenched*, the trees twisting back into place as if the world had been stretched too thin and was now snapping shut." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "a voice hissed (hiss)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 8 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 1 | | effectiveRatio | 0.75 | |