| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.31 | | leniency | 0.621 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1098 | | 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) | |
| 22.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1098 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "loomed" | | 1 | "warmth" | | 2 | "unreadable" | | 3 | "scanning" | | 4 | "shimmered" | | 5 | "echoes" | | 6 | "unravel" | | 7 | "glinting" | | 8 | "depths" | | 9 | "stomach" | | 10 | "pulsed" | | 11 | "whisper" | | 12 | "rhythmic" | | 13 | "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 | 79 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 4 | | totalWords | 1085 | | ratio | 0.004 | | matches | | 0 | "alive" | | 1 | "hungry" | | 2 | "thump" | | 3 | "wrong" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 49.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 897 | | uniqueNames | 12 | | maxNameDensity | 2.01 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 2 | | Pendant | 2 | | November | 1 | | Rory | 18 | | Richmond | 1 | | Park | 1 | | Nyx | 10 | | Isolde | 10 | | Fae-forged | 1 | | London | 1 | | Fae | 3 | | Hel | 1 |
| | persons | | 0 | "Pendant" | | 1 | "Rory" | | 2 | "Nyx" | | 3 | "Isolde" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 0.497 | | windowScore | 0.667 | |
| 22.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 3 | | matches | | 0 | "something like silver bells" | | 1 | "quite a smile" | | 2 | "as if recognizing her" |
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| 15.67% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.843 | | wordCount | 1085 | | matches | | 0 | "not what is, but what could be" | | 1 | "not pain, exactly, but something sharper, like the sting of frostbite" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 31.91 | | std | 22.71 | | cv | 0.712 | | sampleLengths | | 0 | 69 | | 1 | 30 | | 2 | 74 | | 3 | 41 | | 4 | 10 | | 5 | 71 | | 6 | 4 | | 7 | 21 | | 8 | 19 | | 9 | 49 | | 10 | 37 | | 11 | 15 | | 12 | 92 | | 13 | 10 | | 14 | 10 | | 15 | 17 | | 16 | 34 | | 17 | 18 | | 18 | 22 | | 19 | 13 | | 20 | 29 | | 21 | 9 | | 22 | 52 | | 23 | 18 | | 24 | 56 | | 25 | 11 | | 26 | 48 | | 27 | 37 | | 28 | 5 | | 29 | 67 | | 30 | 26 | | 31 | 19 | | 32 | 42 | | 33 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 160 | | matches | | 0 | "was falling" | | 1 | "were coming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 98 | | ratio | 0.122 | | matches | | 0 | "The air smelled of damp earth and something sweeter—honeysuckle, maybe, though it was late November and the wildflowers beyond the stones shouldn’t have been in bloom." | | 1 | "The sounds of Richmond Park—the distant hum of traffic, the caw of crows—fell away, replaced by the soft rustle of leaves and the distant chime of something like silver bells." | | 2 | "The trees here weren’t just ancient—they were *alive* in a way that made her skin prickle." | | 3 | "The moment her fingers closed around the hilt, a jolt ran up her arm—not pain, exactly, but something sharper, like the sting of frostbite." | | 4 | "At first, she saw only her own reflection—dark hair, bright blue eyes, the crescent scar on her wrist." | | 5 | "Towers of black glass clawed at a sky the color of old bruises, and in the streets below, figures moved—some human, some decidedly not." | | 6 | "The vision tilted, and then she was falling, the air rushing past her ears—" | | 7 | "A gust of wind swept through the grove, carrying the scent of something rich and cloying—roasting meat, honeyed wine, the sickly-sweet tang of overripe fruit." | | 8 | "A sound cut through the grove—a low, rhythmic *thump*, like a drumbeat." | | 9 | "Then, from the trees, figures emerged—tall, too tall, their limbs elongated, their mouths stretched into grins too wide for human faces." | | 10 | "Rory barely had time to raise the Fae blade before it was on her, its fingers—too many fingers—scrabbling at her throat." | | 11 | "A fissure yawned wide, belching the same cloying scent from before—roasting meat, honey, decay." |
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| 94.84% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 915 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.04590163934426229 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.012021857923497269 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 11.07 | | std | 7.33 | | cv | 0.662 | | sampleLengths | | 0 | 18 | | 1 | 25 | | 2 | 26 | | 3 | 15 | | 4 | 12 | | 5 | 3 | | 6 | 8 | | 7 | 20 | | 8 | 16 | | 9 | 30 | | 10 | 17 | | 11 | 6 | | 12 | 18 | | 13 | 4 | | 14 | 6 | | 15 | 6 | | 16 | 16 | | 17 | 30 | | 18 | 19 | | 19 | 4 | | 20 | 6 | | 21 | 15 | | 22 | 2 | | 23 | 7 | | 24 | 10 | | 25 | 9 | | 26 | 30 | | 27 | 10 | | 28 | 5 | | 29 | 24 | | 30 | 8 | | 31 | 10 | | 32 | 5 | | 33 | 8 | | 34 | 18 | | 35 | 8 | | 36 | 5 | | 37 | 24 | | 38 | 15 | | 39 | 14 | | 40 | 5 | | 41 | 5 | | 42 | 4 | | 43 | 6 | | 44 | 4 | | 45 | 13 | | 46 | 25 | | 47 | 3 | | 48 | 6 | | 49 | 3 |
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| 46.94% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.30612244897959184 | | totalSentences | 98 | | uniqueOpeners | 30 | |
| 91.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 73 | | matches | | 0 | "Then the surface rippled, and" | | 1 | "Then, from the trees, figures" |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 73 | | matches | | 0 | "they murmured, voice like wind" | | 1 | "She stepped forward, boots sinking" | | 2 | "She turned, her lavender eyes" | | 3 | "she said, though Rory’s watch" | | 4 | "Their bark shimmered with an" | | 5 | "She’d come for answers, not" | | 6 | "She extended a hand, and" | | 7 | "She stumbled back, heart hammering." | | 8 | "It pulsed hotter now, as" | | 9 | "Their skin shimmered with the" | | 10 | "It recoiled, but more were" | | 11 | "She turned and ran, the" | | 12 | "They leapt together, clearing the" | | 13 | "She doubled over, gasping." | | 14 | "She looked at Rory, then" |
| | ratio | 0.205 | |
| 7.95% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 73 | | matches | | 0 | "The standing stones loomed like" | | 1 | "Rory adjusted the strap of" | | 2 | "The air smelled of damp" | | 3 | "Nyx materialized beside her, their" | | 4 | "they murmured, voice like wind" | | 5 | "Rory exhaled, watching her breath" | | 6 | "She stepped forward, boots sinking" | | 7 | "The moment she crossed the" | | 8 | "The sounds of Richmond Park—the" | | 9 | "Isolde stood at the center" | | 10 | "She turned, her lavender eyes" | | 11 | "she said, though Rory’s watch" | | 12 | "Nyx tilted their head." | | 13 | "Rory ignored them, scanning the" | | 14 | "The trees here weren’t just" | | 15 | "Their bark shimmered with an" | | 16 | "She’d come for answers, not" | | 17 | "Isolde’s lips curved, but it" | | 18 | "She extended a hand, and" | | 19 | "Rory hesitated, then reached out." |
| | ratio | 0.904 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "She stepped, boots sinking into the thick carpet of moss" | | 1 | "she said, though Rory’s watch insisted only three minutes had passed since they’d entered the park" |
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| 81.03% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "they murmured (murmur)" | | 1 | "they hissed (hiss)" |
| | dialogueSentences | 29 | | tagDensity | 0.172 | | leniency | 0.345 | | rawRatio | 0.4 | | effectiveRatio | 0.138 | |