| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "Isolde said softly [softly]" |
| | dialogueSentences | 37 | | tagDensity | 0.27 | | leniency | 0.541 | | rawRatio | 0.1 | | effectiveRatio | 0.054 | |
| 85.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1038 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "perfectly" | | 1 | "completely" | | 2 | "softly" |
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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) | |
| 32.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1038 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "loomed" | | 1 | "sentinels" | | 2 | "warmth" | | 3 | "pulse" | | 4 | "pulsed" | | 5 | "marble" | | 6 | "quickened" | | 7 | "flickered" | | 8 | "whisper" | | 9 | "silk" |
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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 | 80 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 80 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 107 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 4 | | totalWords | 1029 | | ratio | 0.004 | | matches | | 0 | "is" | | 1 | "pocket" | | 2 | "I" | | 3 | "choose" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 25.31% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 802 | | uniqueNames | 9 | | maxNameDensity | 2.49 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 2 | | Pendant | 2 | | Rory | 20 | | Isolde | 9 | | Fae | 5 | | Nyx | 7 | | London | 1 | | Belphegor | 1 | | Dymas | 1 |
| | persons | | 0 | "Pendant" | | 1 | "Rory" | | 2 | "Isolde" | | 3 | "Nyx" | | 4 | "Belphegor" |
| | places | | | globalScore | 0.253 | | windowScore | 0.5 | |
| 16.07% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 3 | | matches | | 0 | "It was as if the grove existed in the space between dawn and dusk, suspended in perpetual twilight" | | 1 | "something like one, with skin like polished" | | 2 | "as if reacting to the Fae’s presence" |
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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 | 1029 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 107 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 23.93 | | std | 17.82 | | cv | 0.745 | | sampleLengths | | 0 | 56 | | 1 | 29 | | 2 | 17 | | 3 | 41 | | 4 | 4 | | 5 | 89 | | 6 | 15 | | 7 | 32 | | 8 | 20 | | 9 | 16 | | 10 | 11 | | 11 | 47 | | 12 | 19 | | 13 | 3 | | 14 | 19 | | 15 | 16 | | 16 | 12 | | 17 | 54 | | 18 | 11 | | 19 | 30 | | 20 | 31 | | 21 | 8 | | 22 | 17 | | 23 | 31 | | 24 | 11 | | 25 | 19 | | 26 | 32 | | 27 | 27 | | 28 | 22 | | 29 | 67 | | 30 | 6 | | 31 | 9 | | 32 | 21 | | 33 | 10 | | 34 | 10 | | 35 | 52 | | 36 | 5 | | 37 | 15 | | 38 | 19 | | 39 | 13 | | 40 | 24 | | 41 | 23 | | 42 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 80 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 137 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 107 | | ratio | 0.065 | | matches | | 0 | "The air smelled of damp earth and something sweeter—honeysuckle, maybe, or the faint metallic tang of magic." | | 1 | "Before her stretched a clearing unlike anything she’d ever seen—wildflowers bloomed in impossible colors, their petals glowing faintly in the dim light." | | 2 | "The air grew warmer, thick with the scent of blossoms and something richer—spiced wine, perhaps, or the faintest hint of smoke." | | 3 | "But it wasn’t the pool that made her breath catch—it was the figure standing beside it." | | 4 | "She turned as they approached, her eyes—pale, pupil-less, and glowing faintly—locking onto Rory." | | 5 | "She saw a city—London, but not as she knew it." | | 6 | "At the head of the table sat a man—no, not a man." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 811 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.035758323057953144 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008631319358816275 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 107 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 107 | | mean | 9.62 | | std | 5.52 | | cv | 0.574 | | sampleLengths | | 0 | 15 | | 1 | 24 | | 2 | 17 | | 3 | 11 | | 4 | 15 | | 5 | 3 | | 6 | 10 | | 7 | 7 | | 8 | 15 | | 9 | 7 | | 10 | 14 | | 11 | 5 | | 12 | 4 | | 13 | 9 | | 14 | 21 | | 15 | 22 | | 16 | 19 | | 17 | 18 | | 18 | 8 | | 19 | 5 | | 20 | 2 | | 21 | 14 | | 22 | 10 | | 23 | 8 | | 24 | 18 | | 25 | 2 | | 26 | 10 | | 27 | 6 | | 28 | 5 | | 29 | 6 | | 30 | 8 | | 31 | 21 | | 32 | 18 | | 33 | 13 | | 34 | 6 | | 35 | 2 | | 36 | 1 | | 37 | 5 | | 38 | 14 | | 39 | 9 | | 40 | 7 | | 41 | 3 | | 42 | 6 | | 43 | 3 | | 44 | 9 | | 45 | 14 | | 46 | 15 | | 47 | 16 | | 48 | 11 | | 49 | 14 |
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| 41.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.29906542056074764 | | totalSentences | 107 | | uniqueOpeners | 32 | |
| 92.59% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 72 | | matches | | 0 | "Instead, she gestured toward the" | | 1 | "Then, the path opened into" |
| | ratio | 0.028 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 72 | | matches | | 0 | "they murmured, their voice like" | | 1 | "She left no footprints in" | | 2 | "she said, her pale lavender" | | 3 | "It was as if the" | | 4 | "She turned as they approached," | | 5 | "She’d heard stories of the" | | 6 | "She gestured to the pool" | | 7 | "She saw a city—London, but" | | 8 | "His skin was too pale," | | 9 | "She turned to Nyx and" |
| | ratio | 0.139 | |
| 36.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 72 | | 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, their voice like" | | 5 | "Rory exhaled, watching her breath" | | 6 | "Isolde stepped between the stones" | | 7 | "She left no footprints in" | | 8 | "she said, her pale lavender" | | 9 | "Rory hesitated, then followed." | | 10 | "The moment she crossed the" | | 11 | "The mist swallowed the standing" | | 12 | "It was as if the" | | 13 | "Nyx solidified beside her, their" | | 14 | "Isolde glided forward, her bare" | | 15 | "Rory reached out, her fingers" | | 16 | "Nyx said, their voice low" | | 17 | "Isolde shot them a look." | | 18 | "Rory ignored them, stepping deeper" | | 19 | "The air grew warmer, thick" |
| | ratio | 0.847 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 72 | | matches | | 0 | "Before her stretched a clearing" | | 1 | "Now she saw a feast" | | 2 | "Now, she had to act." |
| | ratio | 0.042 | |
| 46.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 5 | | matches | | 0 | "Isolde stepped between the stones first, her silver hair shimmering as if woven with starlight." | | 1 | "Towering trees with bark like polished silver stretched toward a sky that wasn’t quite blue, but not gray either." | | 2 | "The trees grew taller, their branches twisting into arches overhead, forming a living tunnel." | | 3 | "Rory’s boots made no sound as she walked, as if the earth itself absorbed the noise." | | 4 | "The Heartstone Pendant burned against her skin, as if reacting to the Fae’s presence." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, her pale lavender eyes fixed on Rory" | | 1 | "Nyx said, their voice low" |
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| 95.95% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 2 | | fancyTags | | 0 | "they murmured (murmur)" | | 1 | "they whispered (whisper)" |
| | dialogueSentences | 37 | | tagDensity | 0.243 | | leniency | 0.486 | | rawRatio | 0.222 | | effectiveRatio | 0.108 | |