| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 71.79% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 709 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "gently" | | 1 | "slowly" | | 2 | "truly" | | 3 | "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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 709 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "down her spine" | | count | 1 |
| | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "loomed" | | 1 | "steeled" | | 2 | "raced" | | 3 | "chill" | | 4 | "down her spine" | | 5 | "silence" | | 6 | "whisper" | | 7 | "pulsed" | | 8 | "warmth" | | 9 | "scanned" | | 10 | "pulse" | | 11 | "macabre" | | 12 | "echoed" | | 13 | "crystalline" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "tears streamed down" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 75 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 94.13% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 9 | | markdownWords | 37 | | totalWords | 699 | | ratio | 0.053 | | matches | | 0 | "This is crazy" | | 1 | "They shouldn't be silent" | | 2 | "There's no turning back" | | 3 | "Oh God, please no" | | 4 | "Rory" | | 5 | "Look closer." | | 6 | "No, too disgusting to think on." | | 7 | "What kind of horror am I looking at?" | | 8 | "This life is so absurd." |
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| 62.50% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 1 | | matches | | 0 | "*Rory*, it whispered in the quiet space between her heartbeats." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 662 | | uniqueNames | 9 | | maxNameDensity | 0.6 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 4 | | Nerves | 1 | | God | 1 | | Yu-Fei | 1 | | Cheung | 1 | | Holding | 1 | | Panicked | 1 | | Unconsciously | 1 | | Looking | 1 |
| | persons | | 0 | "Rory" | | 1 | "Nerves" | | 2 | "Yu-Fei" | | 3 | "Cheung" | | 4 | "Holding" | | 5 | "Looking" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 55.66% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like walking into a breathless dre" | | 1 | "y, motionless, seemingly at peace" |
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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 | 699 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 77 | | matches | | |
| 66.45% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 30.39 | | std | 11.63 | | cv | 0.383 | | sampleLengths | | 0 | 55 | | 1 | 44 | | 2 | 39 | | 3 | 25 | | 4 | 32 | | 5 | 23 | | 6 | 32 | | 7 | 16 | | 8 | 46 | | 9 | 34 | | 10 | 5 | | 11 | 20 | | 12 | 12 | | 13 | 34 | | 14 | 26 | | 15 | 36 | | 16 | 19 | | 17 | 36 | | 18 | 24 | | 19 | 29 | | 20 | 29 | | 21 | 35 | | 22 | 48 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 95.83% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 128 | | matches | | 0 | "were wearing" | | 1 | "was making" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 77 | | ratio | 0.078 | | matches | | 0 | "She could just make out the pattern—a delivery person's outfit." | | 1 | "Nothing would scurry out, or— *No, too disgusting to think on.*" | | 2 | "Her eyes scanned the rigid frame, head to toe, impressed this uniform—frozen, dirty, and torn—still remained intact." | | 3 | "White and green blurring stripes, now trussed with string bindings at the cuffs and ankles, held the figure—dreadfully—in place." | | 4 | "The procedure was eerily satisfying; even morbidly so." | | 5 | "It was soothing—more physical evidence that part of her traumatic history was truly behind her." |
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| 85.97% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 671 | | adjectiveStacks | 1 | | stackExamples | | 0 | "deeper calm washed over her." |
| | adverbCount | 33 | | adverbRatio | 0.04918032786885246 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.019374068554396422 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 9.08 | | std | 5.19 | | cv | 0.571 | | sampleLengths | | 0 | 14 | | 1 | 12 | | 2 | 12 | | 3 | 3 | | 4 | 8 | | 5 | 6 | | 6 | 11 | | 7 | 12 | | 8 | 21 | | 9 | 11 | | 10 | 2 | | 11 | 7 | | 12 | 2 | | 13 | 7 | | 14 | 8 | | 15 | 2 | | 16 | 14 | | 17 | 4 | | 18 | 4 | | 19 | 3 | | 20 | 17 | | 21 | 11 | | 22 | 4 | | 23 | 12 | | 24 | 11 | | 25 | 6 | | 26 | 7 | | 27 | 13 | | 28 | 6 | | 29 | 5 | | 30 | 8 | | 31 | 3 | | 32 | 5 | | 33 | 10 | | 34 | 4 | | 35 | 8 | | 36 | 6 | | 37 | 6 | | 38 | 7 | | 39 | 11 | | 40 | 9 | | 41 | 14 | | 42 | 5 | | 43 | 2 | | 44 | 3 | | 45 | 15 | | 46 | 10 | | 47 | 2 | | 48 | 5 | | 49 | 12 |
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| 97.40% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.6493506493506493 | | totalSentences | 77 | | uniqueOpeners | 50 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 69 | | matches | | 0 | "Even the grass seemed immobile," | | 1 | "Then a deeper calm washed" | | 2 | "Gently, she undid each string" | | 3 | "Even her bravest wishes fell" | | 4 | "Unconsciously, her hand rose to" |
| | ratio | 0.072 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 69 | | matches | | 0 | "She steeled her nerves, focused" | | 1 | "She had to find the" | | 2 | "She glanced around, confused." | | 3 | "*They shouldn't be silent*." | | 4 | "Its heat grew as she" | | 5 | "She willed her legs to" | | 6 | "They were wearing a uniform." | | 7 | "She could just make out" | | 8 | "She'd prepared herself for many" | | 9 | "She had to shake the" | | 10 | "She took a deep breath." | | 11 | "Her eyes scanned the rigid" | | 12 | "She drew back when finished," | | 13 | "She half-laughed, half-coughed." | | 14 | "It was soothing—more physical evidence" |
| | ratio | 0.217 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 42 | | totalSentences | 69 | | matches | | 0 | "The ancient oak stones loomed" | | 1 | "Aurora, or Rory to her" | | 2 | "The hair on the back" | | 3 | "*This is crazy*." | | 4 | "She steeled her nerves, focused" | | 5 | "She had to find the" | | 6 | "Rory's heart raced, despite her" | | 7 | "The air thickened, pressing on" | | 8 | "The grove was still as" | | 9 | "A soft puff of wind" | | 10 | "She glanced around, confused." | | 11 | "*They shouldn't be silent*." | | 12 | "Something wasn't right." | | 13 | "The deep crimson pendant nestled" | | 14 | "Its heat grew as she" | | 15 | "Pine needles crunched under her" | | 16 | "Feet shuffling, she searched for" | | 17 | "She willed her legs to" | | 18 | "A body, motionless, seemingly at" | | 19 | "Nerves jumping, she knelt, heart" |
| | ratio | 0.609 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 69 | | matches | | 0 | "Yet, that slight pulse around" | | 1 | "Just as slowly, a fluttering" | | 2 | "Yet, nothing moved in focus." |
| | ratio | 0.043 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 2 | | matches | | 0 | "The air thickened, pressing on her skin, suffocating under a moonless sky." | | 1 | "Feet shuffling, she searched for anything that'd explain these peculiar groves." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Voice quivering (voice quiver)" |
| | dialogueSentences | 5 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 1 | | effectiveRatio | 0.4 | |