| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1163 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "sharply" | | 1 | "very" | | 2 | "truly" |
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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) | |
| 18.31% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1163 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "weight" | | 1 | "warmth" | | 2 | "vibrated" | | 3 | "glint" | | 4 | "racing" | | 5 | "echoed" | | 6 | "silence" | | 7 | "fractured" | | 8 | "calculated" | | 9 | "resolve" | | 10 | "intensity" | | 11 | "pulse" | | 12 | "unspoken" | | 13 | "familiar" | | 14 | "dance" |
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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 | 82 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 82 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 113 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1162 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 84.50% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 916 | | uniqueNames | 6 | | maxNameDensity | 1.31 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Moreau | 1 | | Marseille | 1 | | Golden | 1 | | Empress | 1 | | Lucien | 9 | | Aurora | 12 |
| | persons | | 0 | "Moreau" | | 1 | "Lucien" | | 2 | "Aurora" |
| | places | | | globalScore | 0.845 | | windowScore | 1 | |
| 75.37% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a foreign object dropped into" | | 1 | "sounded like a confession" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.861 | | wordCount | 1162 | | matches | | 0 | "not to invite him in, but to create a buffer of air" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 113 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 19.69 | | std | 18.85 | | cv | 0.957 | | sampleLengths | | 0 | 70 | | 1 | 38 | | 2 | 8 | | 3 | 34 | | 4 | 8 | | 5 | 17 | | 6 | 8 | | 7 | 49 | | 8 | 30 | | 9 | 5 | | 10 | 42 | | 11 | 22 | | 12 | 7 | | 13 | 25 | | 14 | 2 | | 15 | 3 | | 16 | 2 | | 17 | 38 | | 18 | 23 | | 19 | 45 | | 20 | 6 | | 21 | 2 | | 22 | 2 | | 23 | 2 | | 24 | 23 | | 25 | 26 | | 26 | 35 | | 27 | 4 | | 28 | 16 | | 29 | 53 | | 30 | 5 | | 31 | 7 | | 32 | 36 | | 33 | 11 | | 34 | 5 | | 35 | 4 | | 36 | 10 | | 37 | 47 | | 38 | 5 | | 39 | 57 | | 40 | 5 | | 41 | 2 | | 42 | 56 | | 43 | 9 | | 44 | 52 | | 45 | 6 | | 46 | 6 | | 47 | 17 | | 48 | 17 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 82 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 151 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 113 | | ratio | 0.009 | | matches | | 0 | "His eyes swept over the space—the stack of delivery bags from the Golden Empress, the discarded sneakers, the lived-in chaos of her survival." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 282 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 6 | | adverbRatio | 0.02127659574468085 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0070921985815602835 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 113 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 113 | | mean | 10.28 | | std | 6.44 | | cv | 0.626 | | sampleLengths | | 0 | 16 | | 1 | 19 | | 2 | 13 | | 3 | 22 | | 4 | 2 | | 5 | 14 | | 6 | 22 | | 7 | 8 | | 8 | 19 | | 9 | 15 | | 10 | 8 | | 11 | 10 | | 12 | 7 | | 13 | 8 | | 14 | 6 | | 15 | 17 | | 16 | 26 | | 17 | 8 | | 18 | 8 | | 19 | 14 | | 20 | 5 | | 21 | 8 | | 22 | 23 | | 23 | 11 | | 24 | 22 | | 25 | 7 | | 26 | 8 | | 27 | 17 | | 28 | 2 | | 29 | 3 | | 30 | 2 | | 31 | 10 | | 32 | 16 | | 33 | 3 | | 34 | 9 | | 35 | 23 | | 36 | 3 | | 37 | 7 | | 38 | 15 | | 39 | 20 | | 40 | 6 | | 41 | 2 | | 42 | 2 | | 43 | 2 | | 44 | 23 | | 45 | 26 | | 46 | 7 | | 47 | 13 | | 48 | 15 | | 49 | 4 |
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| 37.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.21238938053097345 | | totalSentences | 113 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 28.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 75 | | matches | | 0 | "His amber eye glowed with" | | 1 | "Her hand stayed clamped on" | | 2 | "He didn't wait for an" | | 3 | "He stepped over the threshold," | | 4 | "He moved with a fluid," | | 5 | "She leaned against the wood," | | 6 | "Her gaze traveled from his" | | 7 | "He paused in the center" | | 8 | "His eyes swept over the" | | 9 | "He looked like a foreign" | | 10 | "He stepped closer, closing the" | | 11 | "He reached out, his gloved" | | 12 | "He didn't touch her, but" | | 13 | "She tilted her chin up," | | 14 | "He pivoted, walking toward the" | | 15 | "He picked up a piece" | | 16 | "He turned back to her," | | 17 | "She shifted her weight, her" | | 18 | "He moved toward her again," | | 19 | "He stopped inches away, his" |
| | ratio | 0.48 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 75 | | matches | | 0 | "The door groaned on its" | | 1 | "A flash of platinum blond" | | 2 | "Lucien Moreau leaned on his" | | 3 | "His amber eye glowed with" | | 4 | "Her hand stayed clamped on" | | 5 | "The scent of sandalwood and" | | 6 | "The voice vibrated in the" | | 7 | "Aurora stepped back, not to" | | 8 | "Lucien shifted the cane, the" | | 9 | "A thin, knowing smile touched" | | 10 | "He didn't wait for an" | | 11 | "He stepped over the threshold," | | 12 | "He moved with a fluid," | | 13 | "Aurora shut the door with" | | 14 | "She leaned against the wood," | | 15 | "Her gaze traveled from his" | | 16 | "He paused in the center" | | 17 | "His eyes swept over the" | | 18 | "He looked like a foreign" | | 19 | "Lucien turned his head, the" |
| | ratio | 0.987 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 20.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 7 | | matches | | 0 | "The voice vibrated in the small space between them, a low, melodic rasp that carried the ghost of Marseille." | | 1 | "He moved with a fluid, predatory grace, the kind that belonged in a ballroom or a crime scene, not in a cramped flat above a pub." | | 2 | "He turned back to her, the playful glint in his eye replaced by something harder, something that spoke of the underworld he managed." | | 3 | "Aurora gasped, her hands landing on his chest, her fingers bunching the fabric of the charcoal suit." | | 4 | "The hatred was still there, but it had morphed into something that felt indistinguishable from hunger." | | 5 | "Aurora wrapped her arms around his shoulders, pulling him closer, as if she could merge their histories into one." | | 6 | "Lucien groaned into her mouth, his hands sliding down to grip her hips, lifting her off the floor." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 35.71% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 4 | | fancyTags | | 0 | "he whispered (whisper)" | | 1 | "she breathed (breathe)" | | 2 | "he murmured (murmur)" | | 3 | "she whispered (whisper)" |
| | dialogueSentences | 35 | | tagDensity | 0.114 | | leniency | 0.229 | | rawRatio | 1 | | effectiveRatio | 0.229 | |