| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 5 | | adverbTags | | 0 | "She hesitated then [then]" | | 1 | "he said softly [softly]" | | 2 | "Lucien said softly [softly]" | | 3 | "she said finally [finally]" | | 4 | "Lucien replied smoothly [smoothly]" |
| | dialogueSentences | 16 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.625 | | effectiveRatio | 0.625 | |
| 34.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 987 | | totalAiIsmAdverbs | 13 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "reluctantly" | | count | 1 |
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| | highlights | | 0 | "softly" | | 1 | "slowly" | | 2 | "perfectly" | | 3 | "slightly" | | 4 | "reluctantly" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 987 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "skipped a beat" | | count | 1 |
| | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "echoed" | | 1 | "furrowing" | | 2 | "shattered" | | 3 | "skipped a beat" | | 4 | "loomed" | | 5 | "familiar" | | 6 | "quickened" | | 7 | "pounding" | | 8 | "unspoken" | | 9 | "tension" | | 10 | "raced" | | 11 | "flicker" | | 12 | "warmth" | | 13 | "resonated" | | 14 | "pulse" | | 15 | "flickered" | | 16 | "dancing" | | 17 | "effortless" | | 18 | "electric" | | 19 | "firmly" |
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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 | 54 | | matches | (empty) | |
| 89.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 54 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 61 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 973 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 847 | | uniqueNames | 4 | | maxNameDensity | 0.83 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 1 | | Rory | 6 | | Frenchman | 1 | | Lucien | 7 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Frenchman" | | 3 | "Lucien" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 96.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 1 | | matches | | 0 | "as if testing whether she was willing to give him just a moment more" |
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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 | 973 | | matches | (empty) | |
| 57.38% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 61 | | matches | | 0 | "known—that voice" | | 1 | "forget that he" |
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| 73.01% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 40.54 | | std | 16.44 | | cv | 0.406 | | sampleLengths | | 0 | 61 | | 1 | 38 | | 2 | 39 | | 3 | 47 | | 4 | 66 | | 5 | 35 | | 6 | 39 | | 7 | 74 | | 8 | 34 | | 9 | 40 | | 10 | 8 | | 11 | 58 | | 12 | 38 | | 13 | 58 | | 14 | 29 | | 15 | 36 | | 16 | 15 | | 17 | 47 | | 18 | 53 | | 19 | 32 | | 20 | 13 | | 21 | 18 | | 22 | 53 | | 23 | 42 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 54 | | matches | (empty) | |
| 66.67% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 150 | | matches | | 0 | "was settling" | | 1 | "was holding" | | 2 | "was willing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 61 | | ratio | 0.164 | | matches | | 0 | "Curious—or perhaps cautious—she leaned forward, glancing at the door with a mixture of wariness and mild irritation." | | 1 | "She reached out, hand hovering over the lock—then paused, her mind kicking into gear." | | 2 | "His heterochromatic eyes—one amber, one black—locked onto hers with that familiar blend of calm calculation and something far more complicated." | | 3 | "Lucien tilted his head, a subtle smile creasing the corner of his mouth—a smile that never quite reached his eyes." | | 4 | "She’d known—that voice, that calm, deliberate tone—meant he had a purpose, a reason for this surprise visit." | | 5 | "He tilted his head again, eyes flicking toward her scar—a small crescent-shaped mark on her left wrist that she’d never been able to fully conceal." | | 6 | "Maybe he’d come because, despite everything, some part of her still remembered the man beneath the polished veneer—the part that had once, fleetingly, believed in something more." | | 7 | "The doorway seemed to shrink—or expand— depending on her choice." | | 8 | "As he moved past her, she felt the faintest brush of his presence—an unspoken electric charge that never quite left them." | | 9 | "What mattered was the flicker of something she’d thought buried—an ember of awareness, of longing, ignited anew by his return." |
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| 58.87% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 865 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped mark" |
| | adverbCount | 62 | | adverbRatio | 0.07167630057803469 | | lyAdverbCount | 25 | | lyAdverbRatio | 0.028901734104046242 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 61 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 61 | | mean | 15.95 | | std | 8.08 | | cv | 0.507 | | sampleLengths | | 0 | 41 | | 1 | 20 | | 2 | 9 | | 3 | 12 | | 4 | 17 | | 5 | 23 | | 6 | 16 | | 7 | 14 | | 8 | 22 | | 9 | 11 | | 10 | 8 | | 11 | 29 | | 12 | 20 | | 13 | 9 | | 14 | 5 | | 15 | 14 | | 16 | 16 | | 17 | 20 | | 18 | 19 | | 19 | 15 | | 20 | 13 | | 21 | 17 | | 22 | 29 | | 23 | 13 | | 24 | 21 | | 25 | 17 | | 26 | 23 | | 27 | 3 | | 28 | 5 | | 29 | 25 | | 30 | 5 | | 31 | 2 | | 32 | 26 | | 33 | 14 | | 34 | 24 | | 35 | 31 | | 36 | 27 | | 37 | 17 | | 38 | 12 | | 39 | 15 | | 40 | 4 | | 41 | 17 | | 42 | 8 | | 43 | 7 | | 44 | 27 | | 45 | 16 | | 46 | 4 | | 47 | 14 | | 48 | 26 | | 49 | 13 |
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| 75.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.47540983606557374 | | totalSentences | 61 | | uniqueOpeners | 29 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 52 | | matches | | 0 | "Maybe he’d come because, despite" | | 1 | "Reluctantly, she stepped aside." |
| | ratio | 0.038 | |
| 35.38% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 52 | | matches | | 0 | "She paused, eyebrows furrowing, as" | | 1 | "She hesitated, then slowly got" | | 2 | "She reached out, hand hovering" | | 3 | "She hesitated, the memory of" | | 4 | "His heterochromatic eyes—one amber, one" | | 5 | "Her heart quickened, pounding somewhere" | | 6 | "he said softly, as if" | | 7 | "She’d known—that voice, that calm," | | 8 | "Her voice was steady, but" | | 9 | "She lifted her chin slightly," | | 10 | "he paused, a hint of" | | 11 | "He tilted his head again," | | 12 | "He saw it, of course." | | 13 | "Her past was a wound" | | 14 | "She hesitated, the warmth of" | | 15 | "she said finally, voice low," | | 16 | "He chuckled softly, a strange," | | 17 | "She didn’t step back, but" | | 18 | "He studied her for a" | | 19 | "His tone held a quiet" |
| | ratio | 0.462 | |
| 75.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 52 | | matches | | 0 | "The sudden rap on the" | | 1 | "She paused, eyebrows furrowing, as" | | 2 | "The knock came again, louder" | | 3 | "Rory’s heart skipped a beat," | | 4 | "She hesitated, then slowly got" | | 5 | "The door, a battered wooden" | | 6 | "She reached out, hand hovering" | | 7 | "She hesitated, the memory of" | | 8 | "There, standing in the narrow" | | 9 | "The Frenchman's signature impeccability was" | | 10 | "His heterochromatic eyes—one amber, one" | | 11 | "Rory’s breath hitched, her eyes" | | 12 | "Her heart quickened, pounding somewhere" | | 13 | "Lucien tilted his head, a" | | 14 | "he said softly, as if" | | 15 | "The air between them was" | | 16 | "Rory’s fingers curled instinctively into" | | 17 | "She’d known—that voice, that calm," | | 18 | "Her voice was steady, but" | | 19 | "She lifted her chin slightly," |
| | ratio | 0.769 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 20.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 6 | | matches | | 0 | "The sudden rap on the door echoed through the cramped confines of Eva’s flat just as Rory was settling into her evening routine: a half-eaten bowl of noodles ba…" | | 1 | "She paused, eyebrows furrowing, as if the sound had shattered some fragile peace she hadn’t realized she was holding onto." | | 2 | "Rory’s breath hitched, her eyes narrowing just slightly before settling into a guarded expression." | | 3 | "Her heart quickened, pounding somewhere behind her ribs, fighting the instinct to close the door again." | | 4 | "Maybe he’d come because, despite everything, some part of her still remembered the man beneath the polished veneer—the part that had once, fleetingly, believed …" | | 5 | "She hesitated, then slowly reached out, her hand hovering above the doorframe as if testing whether she was willing to give him just a moment more." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 3 | | matches | | 0 | "he said softly, as if her name was both a greeting and a warning," | | 1 | "he paused, a hint of a smirk tugging at his lips," | | 2 | "she said finally, voice low, trying to keep her trembling emotions at bay" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 16 | | tagDensity | 0.313 | | leniency | 0.625 | | rawRatio | 0 | | effectiveRatio | 0 | |