| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 4 | | adverbTags | | 0 | "Aurora said quickly [quickly]" | | 1 | "she said quietly [quietly]" | | 2 | "Aurora's throat felt suddenly [suddenly]" | | 3 | "The words were spoken so softly [so softly]" |
| | dialogueSentences | 39 | | tagDensity | 0.436 | | leniency | 0.872 | | rawRatio | 0.235 | | effectiveRatio | 0.205 | |
| 59.39% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1108 | | totalAiIsmAdverbs | 9 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "barely above a whisper" | | count | 2 |
| | 5 | |
| | highlights | | 0 | "coolly" | | 1 | "suddenly" | | 2 | "quickly" | | 3 | "slowly" | | 4 | "barely above a whisper" | | 5 | "softly" |
| |
| 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) | |
| 5.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1108 | | totalAiIsms | 21 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "weight" | | 1 | "encounter" | | 2 | "effortless" | | 3 | "pang" | | 4 | "tinged" | | 5 | "whisper" | | 6 | "pulse" | | 7 | "quickened" | | 8 | "tracing" | | 9 | "could feel" | | 10 | "warmth" | | 11 | "intensity" | | 12 | "fluttered" | | 13 | "searing" | | 14 | "familiar" | | 15 | "unspoken" | | 16 | "racing" | | 17 | "tenderness" | | 18 | "pounding" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "couldn't help but" | | count | 1 |
|
| | highlights | | 0 | "couldn't help but notice" |
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| 98.96% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 64 | | matches | | 0 | "g with surprise" | | 1 | "felt a flush" |
| |
| 98.21% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 64 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 85 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1113 | | ratio | 0.003 | | matches | | 0 | "ached" | | 1 | "Aurora" | | 2 | "longing" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 31.85% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 931 | | uniqueNames | 4 | | maxNameDensity | 2.36 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 22 | | Moreau | 1 | | Lucien | 14 | | Ptolemy | 2 |
| | persons | | 0 | "Aurora" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Ptolemy" |
| | places | (empty) | | globalScore | 0.318 | | windowScore | 0.5 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 4 | | matches | | 0 | "quite place" | | 1 | "as if savoring the sound of it" | | 2 | "something akin to power" | | 3 | "quite explain" |
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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 | 1113 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 85 | | matches | | |
| 78.01% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 34 | | mean | 32.74 | | std | 13.85 | | cv | 0.423 | | sampleLengths | | 0 | 19 | | 1 | 28 | | 2 | 40 | | 3 | 13 | | 4 | 33 | | 5 | 32 | | 6 | 17 | | 7 | 17 | | 8 | 35 | | 9 | 48 | | 10 | 45 | | 11 | 46 | | 12 | 45 | | 13 | 46 | | 14 | 16 | | 15 | 32 | | 16 | 25 | | 17 | 38 | | 18 | 15 | | 19 | 29 | | 20 | 42 | | 21 | 34 | | 22 | 14 | | 23 | 24 | | 24 | 50 | | 25 | 49 | | 26 | 18 | | 27 | 24 | | 28 | 50 | | 29 | 51 | | 30 | 17 | | 31 | 34 | | 32 | 69 | | 33 | 18 |
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| 88.82% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 64 | | matches | | 0 | "were spoken" | | 1 | "was struck" | | 2 | "was meant" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 168 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 85 | | ratio | 0.059 | | matches | | 0 | "Lucien Moreau leaned against the doorframe, his platinum blond hair neatly slicked back and his heterochromatic eyes - one amber, one black - regarding her coolly." | | 1 | "Lucien had always had a way with animals - it was one of the things she'd admired about him." | | 2 | "Aurora's breath caught in her throat as he drew closer, his scent - a subtle blend of spice and leather - enveloping her." | | 3 | "It was familiar, yet somehow different - a lifetime of unspoken feelings poured into a single moment." | | 4 | "For now, she didn't need to say anything - she simply allowed herself to be lost in the comfort of his familiar touch, the scent of his skin, the gentle rhythm of his heartbeat." |
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| 93.04% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 926 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 43 | | adverbRatio | 0.04643628509719223 | | lyAdverbCount | 20 | | lyAdverbRatio | 0.02159827213822894 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 85 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 85 | | mean | 13.09 | | std | 7.34 | | cv | 0.561 | | sampleLengths | | 0 | 18 | | 1 | 1 | | 2 | 26 | | 3 | 2 | | 4 | 12 | | 5 | 10 | | 6 | 18 | | 7 | 13 | | 8 | 8 | | 9 | 22 | | 10 | 3 | | 11 | 26 | | 12 | 6 | | 13 | 10 | | 14 | 7 | | 15 | 15 | | 16 | 2 | | 17 | 16 | | 18 | 15 | | 19 | 4 | | 20 | 8 | | 21 | 22 | | 22 | 15 | | 23 | 3 | | 24 | 7 | | 25 | 14 | | 26 | 24 | | 27 | 20 | | 28 | 16 | | 29 | 10 | | 30 | 11 | | 31 | 19 | | 32 | 10 | | 33 | 5 | | 34 | 8 | | 35 | 32 | | 36 | 6 | | 37 | 12 | | 38 | 4 | | 39 | 4 | | 40 | 17 | | 41 | 11 | | 42 | 8 | | 43 | 17 | | 44 | 7 | | 45 | 25 | | 46 | 6 | | 47 | 6 | | 48 | 9 | | 49 | 13 |
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| 73.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.47058823529411764 | | totalSentences | 85 | | uniqueOpeners | 40 | |
| 52.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 63 | | matches | | 0 | "Slowly, tentatively, she lifted her" |
| | ratio | 0.016 | |
| 61.27% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 63 | | matches | | 0 | "It had been years since" | | 1 | "She asked, her voice sharper" | | 2 | "He paused, his gaze raking" | | 3 | "His amber eye glinted with" | | 4 | "He shifted his weight, the" | | 5 | "She stepped aside, allowing him" | | 6 | "he murmured, reaching out to" | | 7 | "She cleared her throat, drawing" | | 8 | "He straightened, his fingers leaving" | | 9 | "His gaze swept the room," | | 10 | "He said the name slowly," | | 11 | "she said quietly, her voice" | | 12 | "He took a step closer" | | 13 | "He reached out, his fingers" | | 14 | "His voice was low, barely" | | 15 | "She swallowed hard, trying to" | | 16 | "She faltered, unsure of how" | | 17 | "She could feel the warmth" | | 18 | "She'd always had a certain" | | 19 | "Her voice was barely above" |
| | ratio | 0.397 | |
| 23.49% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 63 | | matches | | 0 | "The door creaked open, revealing" | | 1 | "Lucien Moreau leaned against the" | | 2 | "A shiver ran down Aurora's" | | 3 | "It had been years since" | | 4 | "The two of them had" | | 5 | "She asked, her voice sharper" | | 6 | "Lucien's lips curled into a" | | 7 | "He paused, his gaze raking" | | 8 | "Aurora felt suddenly self-conscious, aware" | | 9 | "His amber eye glinted with" | | 10 | "Aurora said quickly, the words" | | 11 | "Lucien's expression darkened, just for" | | 12 | "He shifted his weight, the" | | 13 | "Aurora hesitated, her fingers tightening" | | 14 | "Part of her wanted to" | | 15 | "She stepped aside, allowing him" | | 16 | "Lucien swept past her, his" | | 17 | "Aurora couldn't help but notice" | | 18 | "he murmured, reaching out to" | | 19 | "Ptolemy responded with a soft" |
| | ratio | 0.873 | |
| 79.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 63 | | matches | | 0 | "Before Aurora could respond, Lucien's" |
| | ratio | 0.016 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 1 | | matches | | 0 | "Lucien's gaze searched her face, as if he were trying to read her thoughts." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 5 | | matches | | 0 | "She asked, her voice sharper than she intended" | | 1 | "Aurora said quickly, the words tumbling out before she could stop them" | | 2 | "Aurora snapped, the old name striking a nerve" | | 3 | "He said, as if savoring the sound of it" | | 4 | "Lucien's hand slid, his fingers tracing the curve of her shoulder" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 6 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "Aurora snapped (snap)" | | 2 | "The words were spoken so softly (be speak)" | | 3 | "She faltered (falter)" | | 4 | "he murmured (murmur)" | | 5 | "he murmured (murmur)" |
| | dialogueSentences | 39 | | tagDensity | 0.256 | | leniency | 0.513 | | rawRatio | 0.6 | | effectiveRatio | 0.308 | |