| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.99% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 714 | | 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 | 714 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "loomed" | | 1 | "weight" | | 2 | "pulsed" | | 3 | "chill" | | 4 | "whisper" | | 5 | "scanning" | | 6 | "flicker" | | 7 | "pulse" | | 8 | "beacon" | | 9 | "trembled" | | 10 | "wavering" | | 11 | "silence" | | 12 | "warmth" |
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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 | 102 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 102 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 5 | | markdownWords | 5 | | totalWords | 710 | | ratio | 0.007 | | matches | | 0 | "“Aurora.”" | | 1 | "everywhere" | | 2 | "beneath" | | 3 | "“Mine.”" | | 4 | "snapped" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 703 | | uniqueNames | 6 | | maxNameDensity | 0.85 | | worstName | "Grove" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Grove" | | discoveredNames | | Heartstone | 5 | | London | 1 | | Grove | 6 | | Fae | 1 | | Stupid | 1 | | Aurora | 6 |
| | persons | | 0 | "Heartstone" | | 1 | "Grove" | | 2 | "Fae" | | 3 | "Aurora" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 51.96% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 2 | | matches | | 0 | "as if whispering a warning she couldn’t yet understand" | | 1 | "felt like this" |
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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 | 710 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 104 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 15.78 | | std | 14.63 | | cv | 0.927 | | sampleLengths | | 0 | 56 | | 1 | 54 | | 2 | 37 | | 3 | 5 | | 4 | 25 | | 5 | 14 | | 6 | 43 | | 7 | 4 | | 8 | 2 | | 9 | 35 | | 10 | 15 | | 11 | 8 | | 12 | 22 | | 13 | 1 | | 14 | 24 | | 15 | 9 | | 16 | 13 | | 17 | 4 | | 18 | 18 | | 19 | 6 | | 20 | 39 | | 21 | 5 | | 22 | 5 | | 23 | 1 | | 24 | 6 | | 25 | 29 | | 26 | 12 | | 27 | 4 | | 28 | 33 | | 29 | 28 | | 30 | 4 | | 31 | 21 | | 32 | 3 | | 33 | 15 | | 34 | 1 | | 35 | 4 | | 36 | 36 | | 37 | 4 | | 38 | 18 | | 39 | 4 | | 40 | 1 | | 41 | 20 | | 42 | 15 | | 43 | 3 | | 44 | 4 |
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| 98.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 102 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 119 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 104 | | ratio | 0.067 | | matches | | 0 | "The pendant had led her before—always to places where the world felt thin, where the Fae’s touch lingered." | | 1 | "The grass beneath her boots was damp, the scent of earth and something sweeter—like overripe fruit—clinging to the air." | | 2 | "A flicker of movement—just at the edge of her vision." | | 3 | "Just the trees, the flowers, the—" | | 4 | "The voice hadn’t come from the shape—it had come from *everywhere*." | | 5 | "She hurled herself between them—" | | 6 | "—and the world *snapped*." |
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| 89.34% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 709 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 37 | | adverbRatio | 0.05218617771509168 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.007052186177715092 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 6.83 | | std | 5.2 | | cv | 0.762 | | sampleLengths | | 0 | 21 | | 1 | 18 | | 2 | 17 | | 3 | 11 | | 4 | 20 | | 5 | 6 | | 6 | 17 | | 7 | 8 | | 8 | 5 | | 9 | 18 | | 10 | 6 | | 11 | 5 | | 12 | 10 | | 13 | 1 | | 14 | 8 | | 15 | 6 | | 16 | 14 | | 17 | 6 | | 18 | 19 | | 19 | 18 | | 20 | 4 | | 21 | 2 | | 22 | 4 | | 23 | 10 | | 24 | 6 | | 25 | 7 | | 26 | 6 | | 27 | 1 | | 28 | 1 | | 29 | 4 | | 30 | 1 | | 31 | 5 | | 32 | 5 | | 33 | 8 | | 34 | 10 | | 35 | 5 | | 36 | 1 | | 37 | 6 | | 38 | 1 | | 39 | 2 | | 40 | 1 | | 41 | 2 | | 42 | 12 | | 43 | 6 | | 44 | 1 | | 45 | 3 | | 46 | 6 | | 47 | 5 | | 48 | 4 | | 49 | 2 |
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| 42.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3173076923076923 | | totalSentences | 104 | | uniqueOpeners | 33 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 83 | | matches | | 0 | "Just the trees, their branches" | | 1 | "Then she heard it." | | 2 | "Just the trees, the flowers," | | 3 | "Then it was gone." | | 4 | "Just her imagination." | | 5 | "Just the Grove playing tricks." | | 6 | "Then the ground trembled." | | 7 | "Then the whisper came again," |
| | ratio | 0.096 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 83 | | matches | | 0 | "She stepped past the first" | | 1 | "She’d come here for answers." | | 2 | "She spun, fingers tightening around" | | 3 | "she muttered, but her voice" | | 4 | "She moved deeper into the" | | 5 | "She turned slowly, scanning the" | | 6 | "Her voice cracked" | | 7 | "She wasn’t some wide-eyed tourist." | | 8 | "She’d faced worse than this." | | 9 | "She whipped her head around." | | 10 | "Its limbs stretched unnaturally, as" | | 11 | "It stood between the oaks," | | 12 | "She took a step back." | | 13 | "She exhaled, shaking." | | 14 | "She forced herself forward, toward" | | 15 | "Her name, hissed like a" | | 16 | "She jerked away from the" | | 17 | "Its form shifted, elongating, its" | | 18 | "It had no face." | | 19 | "She fumbled for it, yanking" |
| | ratio | 0.289 | |
| 62.41% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 83 | | matches | | 0 | "The ancient oak standing stones" | | 1 | "Aurora adjusted the strap of" | | 2 | "The crimson gem pulsed once," | | 3 | "She stepped past the first" | | 4 | "The usual hum of London" | | 5 | "The Grove never slept, not" | | 6 | "Wildflowers swayed in the moonlight," | | 7 | "Aurora exhaled, her breath curling" | | 8 | "She’d come here for answers." | | 9 | "The pendant had led her" | | 10 | "A twig snapped behind her." | | 11 | "She spun, fingers tightening around" | | 12 | "The Heartstone pulsed again, warmer" | | 13 | "she muttered, but her voice" | | 14 | "She moved deeper into the" | | 15 | "The grass beneath her boots" | | 16 | "The pendant’s glow seeped through" | | 17 | "A breath against her ear," | | 18 | "The hairs on her neck" | | 19 | "She turned slowly, scanning the" |
| | ratio | 0.795 | |
| 60.24% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 83 | | matches | | 0 | "—and the world *snapped*." |
| | ratio | 0.012 | |
| 37.04% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 4 | | matches | | 0 | "The crimson gem pulsed once, faint but insistent, as if whispering a warning she couldn’t yet understand." | | 1 | "Wildflowers swayed in the moonlight, their petals too vibrant, too alive, as if painted fresh each night." | | 2 | "The wildflowers wilted in an instant, their petals blackening as if scorched." | | 3 | "Its form shifted, elongating, its edges blurring into the dark." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "she muttered, but her voice sounded too loud, too sharp" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 4 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 1 | | effectiveRatio | 0.5 | |