| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 85.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 713 | | 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) | |
| 1.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 713 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "pulse" | | 3 | "whisper" | | 4 | "measured" | | 5 | "could feel" | | 6 | "loomed" | | 7 | "searing" |
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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 | 81 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 81 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | 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 | 12 | | markdownWords | 34 | | totalWords | 705 | | ratio | 0.048 | | matches | | 0 | "Just a delivery. Just a package." | | 1 | "shifted" | | 2 | "Paranoia. Exhaustion." | | 3 | "wrong" | | 4 | "shifted" | | 5 | "human" | | 6 | "What the hell is happening?" | | 7 | "moved" | | 8 | "\"You shouldn’t have come.\"" | | 9 | "\"The stones don’t let you in. They let you *through" | | 10 | "\"Who—?\"" | | 11 | "moved" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 84.78% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 690 | | uniqueNames | 6 | | maxNameDensity | 1.3 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Heartstone | 1 | | Grove | 3 | | Yu-Fei | 1 | | Richmond | 1 | | Aurora | 9 |
| | persons | | 0 | "Carter" | | 1 | "Grove" | | 2 | "Aurora" |
| | places | | | globalScore | 0.848 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | 0 | "something like rusted iron left too long in" |
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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 | 705 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 18.55 | | std | 18.12 | | cv | 0.976 | | sampleLengths | | 0 | 59 | | 1 | 8 | | 2 | 59 | | 3 | 59 | | 4 | 3 | | 5 | 2 | | 6 | 45 | | 7 | 1 | | 8 | 8 | | 9 | 31 | | 10 | 42 | | 11 | 2 | | 12 | 6 | | 13 | 41 | | 14 | 24 | | 15 | 1 | | 16 | 2 | | 17 | 15 | | 18 | 31 | | 19 | 5 | | 20 | 36 | | 21 | 5 | | 22 | 5 | | 23 | 33 | | 24 | 11 | | 25 | 9 | | 26 | 4 | | 27 | 35 | | 28 | 7 | | 29 | 10 | | 30 | 11 | | 31 | 1 | | 32 | 33 | | 33 | 20 | | 34 | 1 | | 35 | 6 | | 36 | 2 | | 37 | 32 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 81 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 122 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 84 | | ratio | 0.083 | | matches | | 0 | "The air smelled of damp earth and something older—something like rusted iron left too long in the rain." | | 1 | "She’d memorised the way in—past the standing stones, where the oaks grew gnarled and twisted, their bark blackened as if scorched by something unseen." | | 2 | "But the way the Grove had *shifted* since she last stood here—if she’d ever stood here before—made her skin prickle." | | 3 | "Then—" | | 4 | "The standing stones loomed ahead, their surfaces smooth and unmarked—unlike the ones she’d seen before, which bore strange, carved symbols." | | 5 | "Shadows pooled at her feet, rising like smoke, twisting into shapes—too many limbs, too many eyes." | | 6 | "Then—" |
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| 85.12% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 698 | | adjectiveStacks | 1 | | stackExamples | | 0 | "untouched, lay crushed underfoot," |
| | adverbCount | 35 | | adverbRatio | 0.050143266475644696 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.011461318051575931 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 8.39 | | std | 5.95 | | cv | 0.708 | | sampleLengths | | 0 | 18 | | 1 | 22 | | 2 | 19 | | 3 | 8 | | 4 | 24 | | 5 | 20 | | 6 | 15 | | 7 | 13 | | 8 | 3 | | 9 | 21 | | 10 | 2 | | 11 | 20 | | 12 | 3 | | 13 | 2 | | 14 | 18 | | 15 | 16 | | 16 | 11 | | 17 | 1 | | 18 | 8 | | 19 | 2 | | 20 | 1 | | 21 | 19 | | 22 | 7 | | 23 | 2 | | 24 | 11 | | 25 | 8 | | 26 | 14 | | 27 | 2 | | 28 | 7 | | 29 | 2 | | 30 | 6 | | 31 | 3 | | 32 | 8 | | 33 | 11 | | 34 | 19 | | 35 | 9 | | 36 | 2 | | 37 | 2 | | 38 | 11 | | 39 | 1 | | 40 | 2 | | 41 | 2 | | 42 | 2 | | 43 | 4 | | 44 | 7 | | 45 | 4 | | 46 | 9 | | 47 | 7 | | 48 | 11 | | 49 | 5 |
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| 36.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.2857142857142857 | | totalSentences | 84 | | uniqueOpeners | 24 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 65 | | matches | | 0 | "*Just a delivery." | | 1 | "Just a package.* She’d been" | | 2 | "Only the whisper of wind" | | 3 | "Instead, the darkness *moved*." |
| | ratio | 0.062 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 65 | | matches | | 0 | "She’d memorised the way in—past" | | 1 | "Her pulse hammered in her" | | 2 | "She turned slowly, her boots" | | 3 | "She took another step forward," | | 4 | "She reached up, fingers brushing" | | 5 | "She turned, her gaze darting" | | 6 | "She could see nothing but" | | 7 | "She stepped back, her heel" | | 8 | "Her fingers curled into her" | | 9 | "She forced herself to move," | | 10 | "She could feel it, a" | | 11 | "She reached the edge of" | | 12 | "She spun, her hand flying" | | 13 | "She stumbled back, her heel" | | 14 | "She fell, her palms scraping" | | 15 | "She didn’t dare look up." | | 16 | "She scrambled back, her body" | | 17 | "She gasped, her lungs burning," |
| | ratio | 0.277 | |
| 52.31% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 65 | | matches | | 0 | "The air smelled of damp" | | 1 | "Aurora Carter adjusted the strap" | | 2 | "The pendant pulsed faintly, a" | | 3 | "The Grove wasn’t supposed to" | | 4 | "She’d memorised the way in—past" | | 5 | "The wildflowers, usually vibrant and" | | 6 | "Aurora exhaled through her nose," | | 7 | "A twig snapped." | | 8 | "The sound came from the" | | 9 | "Her pulse hammered in her" | | 10 | "She turned slowly, her boots" | | 11 | "Exhaustion.* She’d been on her" | | 12 | "She took another step forward," | | 13 | "The pendant warmed again, pressing" | | 14 | "She reached up, fingers brushing" | | 15 | "This time, it wasn’t the" | | 16 | "Aurora’s breath hitched." | | 17 | "She turned, her gaze darting" | | 18 | "The trees here were taller," | | 19 | "She could see nothing but" |
| | ratio | 0.815 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 4 | | matches | | 0 | "She’d memorised the way in—past the standing stones, where the oaks grew gnarled and twisted, their bark blackened as if scorched by something unseen." | | 1 | "But tonight, the path twisted unnaturally, the trees leaning in closer, their branches scraping against each other like skeletal fingers." | | 2 | "The trunks themselves seemed to shift, their bark splitting and reforming, like living flesh." | | 3 | "Shadows pooled at her feet, rising like smoke, twisting into shapes—too many limbs, too many eyes." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |