| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 7 | | tagDensity | 0.857 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 877 | | totalAiIsmAdverbs | 1 | | 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) | |
| 25.88% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 877 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "loomed" | | 1 | "flickered" | | 2 | "throbbed" | | 3 | "pulsed" | | 4 | "measured" | | 5 | "warmth" | | 6 | "footsteps" | | 7 | "perfect" | | 8 | "pulse" | | 9 | "flicker" | | 10 | "whisper" | | 11 | "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 | 92 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 92 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 17 | | totalWords | 868 | | ratio | 0.02 | | matches | | 0 | "was" | | 1 | "Rory, the tofu is spoiling again. Come straight here after whatever you’re doing." | | 2 | "helix" | | 3 | "keep" | | 4 | "pinched" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.05% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 834 | | uniqueNames | 9 | | maxNameDensity | 1.2 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 10 | | Richmond | 1 | | Park | 1 | | Fae | 3 | | Heartstone | 2 | | Grove | 1 | | Evan | 2 | | Yu-Fei | 1 | | Thames | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Heartstone" | | 3 | "Grove" | | 4 | "Yu-Fei" | | 5 | "Thames" |
| | globalScore | 0.9 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 1 | | matches | | 0 | "tasted like ash and her mind kept circlin" |
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| 84.79% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.152 | | wordCount | 868 | | matches | | 0 | "not coins, but today her throat tasted like ash" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 36.17 | | std | 20.85 | | cv | 0.577 | | sampleLengths | | 0 | 91 | | 1 | 53 | | 2 | 74 | | 3 | 42 | | 4 | 63 | | 5 | 22 | | 6 | 44 | | 7 | 1 | | 8 | 2 | | 9 | 48 | | 10 | 5 | | 11 | 30 | | 12 | 36 | | 13 | 23 | | 14 | 36 | | 15 | 19 | | 16 | 43 | | 17 | 19 | | 18 | 44 | | 19 | 46 | | 20 | 25 | | 21 | 31 | | 22 | 32 | | 23 | 39 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 92 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 137 | | matches | | 0 | "were holding" | | 1 | "were digging" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 93 | | ratio | 0.097 | | matches | | 0 | "Their scent—sweet as decay—clogged the air." | | 1 | "The stones now formed a perfect, unbroken circle around her—higher than before, their tops lost in a fog that hadn’t been there moments ago." | | 2 | "A flicker of movement—something large crossing the fog beyond the stones." | | 3 | "The stones on its body now gleamed like fractures in glass, and for the first time, she saw its hands—thin fingers ending in crescent-shaped nails." | | 4 | "In her pocket, her phone buzzed once—10:32 a.m., a message from Yu-Fei: *Rory, the tofu is spoiling again." | | 5 | "The ground beneath the mushrooms had shifted, forming a pattern now—parallel lines, straight as scratches." | | 6 | "The world *pinched*, a pressure behind her eyes—" | | 7 | "—and suddenly her knees were digging into gravel." | | 8 | "And the scar on her wrist—the one from the childhood fall, not Evan—itched as if someone had drawn a line of fire across her skin." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 846 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.02955082742316785 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.004728132387706856 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 9.33 | | std | 6.52 | | cv | 0.698 | | sampleLengths | | 0 | 23 | | 1 | 22 | | 2 | 3 | | 3 | 8 | | 4 | 23 | | 5 | 12 | | 6 | 11 | | 7 | 14 | | 8 | 18 | | 9 | 10 | | 10 | 17 | | 11 | 6 | | 12 | 35 | | 13 | 16 | | 14 | 10 | | 15 | 9 | | 16 | 13 | | 17 | 10 | | 18 | 4 | | 19 | 13 | | 20 | 11 | | 21 | 10 | | 22 | 5 | | 23 | 1 | | 24 | 2 | | 25 | 3 | | 26 | 14 | | 27 | 9 | | 28 | 7 | | 29 | 6 | | 30 | 20 | | 31 | 2 | | 32 | 4 | | 33 | 13 | | 34 | 5 | | 35 | 1 | | 36 | 2 | | 37 | 2 | | 38 | 8 | | 39 | 24 | | 40 | 6 | | 41 | 8 | | 42 | 5 | | 43 | 8 | | 44 | 8 | | 45 | 11 | | 46 | 2 | | 47 | 1 | | 48 | 12 | | 49 | 3 |
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| 54.48% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3655913978494624 | | totalSentences | 93 | | uniqueOpeners | 34 | |
| 84.39% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 79 | | matches | | 0 | "Somewhere behind the oaks, a" | | 1 | "Instead, the ground here was" |
| | ratio | 0.025 | |
| 98.48% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 79 | | matches | | 0 | "She’d left the city two" | | 1 | "Her phone flickered with a" | | 2 | "It throbbed warm against her" | | 3 | "She’d never been this deep" | | 4 | "Its heat now pulsed in" | | 5 | "Their scent—sweet as decay—clogged the" | | 6 | "She’d read somewhere that the" | | 7 | "She pushed through a thicket" | | 8 | "she said, kneeling" | | 9 | "Her fingers brushed a patch" | | 10 | "It shivered away from her" | | 11 | "Her breath came in visible" | | 12 | "She turned again, hands brushing" | | 13 | "Her reflection stared back from" | | 14 | "Its body rippled like liquid," | | 15 | "it said, each syllable a" | | 16 | "It simply *was*." | | 17 | "It didn’t move closer, but" | | 18 | "Her voice was steady until" | | 19 | "Its mouth hadn’t moved." |
| | ratio | 0.304 | |
| 35.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 79 | | matches | | 0 | "The ancient oak standing stones" | | 1 | "She’d left the city two" | | 2 | "That wasn’t right." | | 3 | "The path should have taken" | | 4 | "Her phone flickered with a" | | 5 | "The Fae had never liked" | | 6 | "Aurora tightened her grip on" | | 7 | "It throbbed warm against her" | | 8 | "She’d never been this deep" | | 9 | "Its heat now pulsed in" | | 10 | "Wildflowers the color of rusted" | | 11 | "Their scent—sweet as decay—clogged the" | | 12 | "She’d read somewhere that the" | | 13 | "The words dissolved into the" | | 14 | "The shadows along the bark" | | 15 | "The pendant’s warmth spiked." | | 16 | "She pushed through a thicket" | | 17 | "The grove widened into a" | | 18 | "Aurora had expected something more…" | | 19 | "A stone altar?" |
| | ratio | 0.848 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 79 | | matches | | 0 | "If it had spoken again," | | 1 | "—and suddenly her knees were" |
| | ratio | 0.025 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 2 | | matches | | 0 | "The ancient oak standing stones loomed like skeletal fingers as Aurora stepped onto the muddy trail, her boots sinking with each uneven stride." | | 1 | "The pendant’s glow brightened, the gemstone shifting from crimson to something whiter, a shade that felt wrong in the moonlight." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "it said, each syllable a vibration in her bones" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "Aurora muttered (mutter)" |
| | dialogueSentences | 7 | | tagDensity | 0.571 | | leniency | 1 | | rawRatio | 0.25 | | effectiveRatio | 0.25 | |