| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 25 | | tagDensity | 0.16 | | leniency | 0.32 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.17% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 845 | | 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) | |
| 28.99% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 845 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "pulse" | | 1 | "flicked" | | 2 | "stomach" | | 3 | "unreadable" | | 4 | "unspoken" | | 5 | "roaring" | | 6 | "weight" | | 7 | "tension" | | 8 | "reminder" |
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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 | 1 | | narrationSentences | 53 | | matches | | |
| 88.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 53 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 72 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 841 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 665 | | uniqueNames | 8 | | maxNameDensity | 1.5 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Golden | 1 | | Empress | 1 | | Ptolemy | 2 | | Lucien | 8 | | Moreau | 1 | | Aurora | 10 | | Eva | 6 |
| | persons | | 0 | "Carter" | | 1 | "Empress" | | 2 | "Ptolemy" | | 3 | "Lucien" | | 4 | "Moreau" | | 5 | "Aurora" | | 6 | "Eva" |
| | places | | | globalScore | 0.748 | | windowScore | 0.667 | |
| 84.21% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 38 | | glossingSentenceCount | 1 | | matches | | 0 | "as if sensing the tension, and curled around Aurora’s ankles, pressing his head against her leg" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 2.378 | | wordCount | 841 | | matches | | 0 | "not supposed to be here,” she said, but the words sounded hollow even to her" | | 1 | "not exactly friends, but you’re not enemies either" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 30.04 | | std | 24.03 | | cv | 0.8 | | sampleLengths | | 0 | 69 | | 1 | 63 | | 2 | 16 | | 3 | 39 | | 4 | 8 | | 5 | 87 | | 6 | 16 | | 7 | 44 | | 8 | 43 | | 9 | 11 | | 10 | 16 | | 11 | 6 | | 12 | 42 | | 13 | 16 | | 14 | 11 | | 15 | 38 | | 16 | 17 | | 17 | 98 | | 18 | 13 | | 19 | 11 | | 20 | 5 | | 21 | 13 | | 22 | 36 | | 23 | 27 | | 24 | 28 | | 25 | 17 | | 26 | 10 | | 27 | 41 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 53 | | matches | (empty) | |
| 85.06% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 116 | | matches | | 0 | "was stepping" | | 1 | "was, standing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 72 | | ratio | 0.056 | | matches | | 0 | "The flat smelled of old paper and the faint, earthy tang of the cat curled around her ankles—Ptolemy, who had been asleep since the sun had gone down." | | 1 | "His heterochromatic eyes—one amber, one black—locked onto hers, and something in his gaze made her pulse jump." | | 2 | "The air smelled of ink and something older, something warm and human—like the scent of her own home." | | 3 | "She’d thought she’d left this place behind—left the hurt, the fear, the way he’d looked at her like she was something precious, something fragile, something he’d been willing to break for." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 669 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.029895366218236172 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005979073243647235 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 72 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 72 | | mean | 11.68 | | std | 8.54 | | cv | 0.731 | | sampleLengths | | 0 | 12 | | 1 | 21 | | 2 | 28 | | 3 | 8 | | 4 | 20 | | 5 | 26 | | 6 | 17 | | 7 | 9 | | 8 | 7 | | 9 | 33 | | 10 | 6 | | 11 | 6 | | 12 | 2 | | 13 | 20 | | 14 | 18 | | 15 | 12 | | 16 | 37 | | 17 | 16 | | 18 | 5 | | 19 | 21 | | 20 | 10 | | 21 | 5 | | 22 | 3 | | 23 | 21 | | 24 | 6 | | 25 | 9 | | 26 | 7 | | 27 | 5 | | 28 | 6 | | 29 | 9 | | 30 | 7 | | 31 | 3 | | 32 | 3 | | 33 | 18 | | 34 | 24 | | 35 | 8 | | 36 | 8 | | 37 | 3 | | 38 | 8 | | 39 | 6 | | 40 | 32 | | 41 | 5 | | 42 | 12 | | 43 | 14 | | 44 | 15 | | 45 | 31 | | 46 | 16 | | 47 | 22 | | 48 | 6 | | 49 | 7 |
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| 47.22% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.2777777777777778 | | totalSentences | 72 | | uniqueOpeners | 20 | |
| 65.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 51 | | matches | | 0 | "Then Lucien Moreau stood there," |
| | ratio | 0.02 | |
| 94.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 51 | | matches | | 0 | "She didn’t move until the" | | 1 | "His heterochromatic eyes—one amber, one" | | 2 | "he said, voice low, smooth" | | 3 | "She stepped back, her fingers" | | 4 | "he admitted, his lips quirking" | | 5 | "She turned, her gaze flicking" | | 6 | "she said, but the words" | | 7 | "He just stood there, watching" | | 8 | "he finally said" | | 9 | "She’d thought she’d left this" | | 10 | "It was a weight pressing" | | 11 | "He reached out, his fingers" | | 12 | "He purred, as if sensing" | | 13 | "She didn’t pull away." | | 14 | "She was safe here." | | 15 | "She felt like staying." |
| | ratio | 0.314 | |
| 9.02% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 51 | | matches | | 0 | "The brass knocker scraped against" | | 1 | "Aurora Carter exhaled through her" | | 2 | "The flat smelled of old" | | 3 | "She didn’t move until the" | | 4 | "The door swung inward with" | | 5 | "His heterochromatic eyes—one amber, one" | | 6 | "he said, voice low, smooth" | | 7 | "She stepped back, her fingers" | | 8 | "he admitted, his lips quirking" | | 9 | "The flat was smaller than" | | 10 | "The air smelled of ink" | | 11 | "She turned, her gaze flicking" | | 12 | "The way the light caught" | | 13 | "she said, but the words" | | 14 | "Lucien didn’t answer right away." | | 15 | "He just stood there, watching" | | 16 | "he finally said" | | 17 | "The door to the bedroom" | | 18 | "Aurora whirled around, her heart" | | 19 | "Eva stood there, arms crossed," |
| | ratio | 0.902 | |
| 98.04% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 51 | | matches | | 0 | "Because she knew, even if" |
| | ratio | 0.02 | |
| 60.44% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 3 | | matches | | 0 | "The flat smelled of old paper and the faint, earthy tang of the cat curled around her ankles—Ptolemy, who had been asleep since the sun had gone down." | | 1 | "She stepped back, her fingers twitching toward the scar on her wrist, the one from the childhood accident that had left her with a habit of biting her lip when …" | | 2 | "He purred, as if sensing the tension, and curled around Aurora’s ankles, pressing his head against her leg." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, voice low, smooth as aged whiskey" | | 1 | "he admitted, his lips quirking" | | 2 | "she said, but the words sounded hollow even to her" |
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| 70.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "he admitted (admit)" | | 1 | "he murmured (murmur)" |
| | dialogueSentences | 25 | | tagDensity | 0.16 | | leniency | 0.32 | | rawRatio | 0.5 | | effectiveRatio | 0.16 | |