| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 37 | | tagDensity | 0.405 | | leniency | 0.811 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 64.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1265 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "precisely" | | 1 | "lightly" | | 2 | "very" | | 3 | "suddenly" | | 4 | "truly" | | 5 | "slowly" | | 6 | "completely" |
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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) | |
| 64.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1265 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "stark" | | 1 | "silence" | | 2 | "flicked" | | 3 | "tension" | | 4 | "weight" | | 5 | "pulse" | | 6 | "whisper" | | 7 | "electric" | | 8 | "tracing" |
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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 | 81 | | matches | (empty) | |
| 72.31% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 81 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 102 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 1254 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 865 | | uniqueNames | 7 | | maxNameDensity | 0.46 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Brick | 1 | | Lane | 1 | | Moreau | 1 | | Rory | 3 | | Silas | 1 | | Eva | 1 | | Lucien | 4 |
| | persons | | 0 | "Moreau" | | 1 | "Rory" | | 2 | "Silas" | | 3 | "Eva" | | 4 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 68.03% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like it had been tailored onto him" | | 1 | "felt like expensive whiskey" |
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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 | 1254 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 102 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 38 | | mean | 33 | | std | 18.2 | | cv | 0.552 | | sampleLengths | | 0 | 40 | | 1 | 57 | | 2 | 27 | | 3 | 16 | | 4 | 13 | | 5 | 31 | | 6 | 22 | | 7 | 19 | | 8 | 72 | | 9 | 14 | | 10 | 9 | | 11 | 32 | | 12 | 12 | | 13 | 55 | | 14 | 28 | | 15 | 32 | | 16 | 30 | | 17 | 53 | | 18 | 36 | | 19 | 21 | | 20 | 64 | | 21 | 61 | | 22 | 25 | | 23 | 20 | | 24 | 13 | | 25 | 49 | | 26 | 26 | | 27 | 62 | | 28 | 36 | | 29 | 45 | | 30 | 12 | | 31 | 32 | | 32 | 44 | | 33 | 25 | | 34 | 74 | | 35 | 14 | | 36 | 11 | | 37 | 22 |
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| 96.60% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 81 | | matches | | 0 | "was slicked" | | 1 | "been tailored" | | 2 | "was gone" |
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| 98.22% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 131 | | matches | | 0 | "was cracking" | | 1 | "were breathing" |
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| 30.81% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 102 | | ratio | 0.039 | | matches | | 0 | "“Rory.” His voice was exactly as she remembered—a low, smooth baritone that felt like expensive whiskey." | | 1 | "Lucien’s gaze swept over the chaos—the towers of books, the scrolls spilling from the desk, the half-empty mugs of cold tea." | | 2 | "The memory of his mouth on hers, the desperate press of his body against a rain-slicked wall, the way he’d looked at her like she was the only real thing in a world of shadows—it all came rushing back." | | 3 | "All the hurt, the anger, the confusion—it was still there, a tangled knot in her chest." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 876 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 29 | | adverbRatio | 0.033105022831050226 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.0136986301369863 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 102 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 102 | | mean | 12.29 | | std | 8.23 | | cv | 0.669 | | sampleLengths | | 0 | 9 | | 1 | 17 | | 2 | 14 | | 3 | 16 | | 4 | 2 | | 5 | 27 | | 6 | 12 | | 7 | 3 | | 8 | 5 | | 9 | 19 | | 10 | 16 | | 11 | 3 | | 12 | 10 | | 13 | 8 | | 14 | 19 | | 15 | 4 | | 16 | 10 | | 17 | 12 | | 18 | 14 | | 19 | 5 | | 20 | 7 | | 21 | 17 | | 22 | 5 | | 23 | 5 | | 24 | 7 | | 25 | 31 | | 26 | 7 | | 27 | 7 | | 28 | 9 | | 29 | 22 | | 30 | 6 | | 31 | 4 | | 32 | 7 | | 33 | 2 | | 34 | 3 | | 35 | 17 | | 36 | 15 | | 37 | 23 | | 38 | 21 | | 39 | 7 | | 40 | 19 | | 41 | 11 | | 42 | 2 | | 43 | 12 | | 44 | 18 | | 45 | 6 | | 46 | 15 | | 47 | 18 | | 48 | 14 | | 49 | 12 |
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| 40.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.3235294117647059 | | totalSentences | 102 | | uniqueOpeners | 33 | |
| 42.74% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 78 | | matches | | 0 | "Then the cold dismissal." |
| | ratio | 0.013 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 78 | | matches | | 0 | "He stood there, a stark" | | 1 | "His platinum hair was slicked" | | 2 | "Her breath caught." | | 3 | "It had been six months." | | 4 | "His voice was exactly as" | | 5 | "She didn’t move." | | 6 | "His heterochromatic gaze flicked past" | | 7 | "His eyes locked on hers," | | 8 | "She’d built a wall of" | | 9 | "She could slam the door." | | 10 | "She should slam the door." | | 11 | "He’d walked away from her," | | 12 | "Her traitorous heart hammered against" | | 13 | "He paused, and for the" | | 14 | "She stepped back, holding the" | | 15 | "He moved past her into" | | 16 | "He seemed too large for" | | 17 | "She crossed her arms, leaning" | | 18 | "He turned to face her," | | 19 | "She kept her face neutral," |
| | ratio | 0.551 | |
| 4.87% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 78 | | matches | | 0 | "The third deadbolt slid back" | | 1 | "Rory pulled the door open," | | 2 | "The scent of cumin and" | | 3 | "He stood there, a stark" | | 4 | "His platinum hair was slicked" | | 5 | "The ivory handle of his" | | 6 | "Her breath caught." | | 7 | "It had been six months." | | 8 | "His voice was exactly as" | | 9 | "She didn’t move." | | 10 | "A faint, almost imperceptible smile" | | 11 | "His heterochromatic gaze flicked past" | | 12 | "Rory’s grip tightened on the" | | 13 | "His eyes locked on hers," | | 14 | "The simplicity of the statement" | | 15 | "She’d built a wall of" | | 16 | "She could slam the door." | | 17 | "She should slam the door." | | 18 | "He’d walked away from her," | | 19 | "Her traitorous heart hammered against" |
| | ratio | 0.91 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 1 | | matches | | 0 | "The undeniable, terrifying attraction that had drawn her to him from the start." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 5 | | matches | | 0 | "Lucien countered, his voice dropping" | | 1 | "She pushed, her voice gaining an edge" | | 2 | "he murmured, his thumb tracing the line of her jaw" | | 3 | "he challenged, his voice thick" | | 4 | "she whispered, her voice unsteady" |
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| 68.92% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "he challenged (challenge)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 37 | | tagDensity | 0.135 | | leniency | 0.27 | | rawRatio | 0.6 | | effectiveRatio | 0.162 | |