| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said finally [finally]" |
| | dialogueSentences | 33 | | tagDensity | 0.242 | | leniency | 0.485 | | rawRatio | 0.125 | | effectiveRatio | 0.061 | |
| 94.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 870 | | totalAiIsmAdverbs | 1 | | 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) | |
| 8.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 870 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "unreadable" | | 1 | "silence" | | 2 | "pulse" | | 3 | "flicked" | | 4 | "stomach" | | 5 | "charged" | | 6 | "could feel" | | 7 | "weight" | | 8 | "tension" | | 9 | "eyebrow" | | 10 | "scanning" | | 11 | "familiar" | | 12 | "roaring" | | 13 | "trembled" |
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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 | 61 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 61 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | 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 | 861 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 93.18% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 704 | | uniqueNames | 3 | | maxNameDensity | 1.14 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | | persons | | | places | | | globalScore | 0.932 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 83.86% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.161 | | wordCount | 861 | | matches | | 0 | "not a strand out of place, but his jaw was tight enough to snap a twig" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 23.27 | | std | 16.96 | | cv | 0.729 | | sampleLengths | | 0 | 39 | | 1 | 75 | | 2 | 15 | | 3 | 6 | | 4 | 39 | | 5 | 60 | | 6 | 14 | | 7 | 23 | | 8 | 58 | | 9 | 21 | | 10 | 8 | | 11 | 43 | | 12 | 12 | | 13 | 20 | | 14 | 12 | | 15 | 10 | | 16 | 13 | | 17 | 18 | | 18 | 47 | | 19 | 16 | | 20 | 7 | | 21 | 47 | | 22 | 18 | | 23 | 8 | | 24 | 9 | | 25 | 28 | | 26 | 36 | | 27 | 23 | | 28 | 7 | | 29 | 12 | | 30 | 25 | | 31 | 13 | | 32 | 8 | | 33 | 8 | | 34 | 20 | | 35 | 31 | | 36 | 12 |
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| 88.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 61 | | matches | | 0 | "was slicked" | | 1 | "was hidden" | | 2 | "been scared" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 129 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 86 | | ratio | 0.081 | | matches | | 0 | "The scent of damp wool and something sharper—like ozone after a storm—filled the air before the man stepped inside." | | 1 | "The flat was smaller than his, but it had its own kind of clutter—stacks of takeout menus, a half-empty bottle of whiskey on the counter, the faint scent of soy sauce and garlic lingering from the deliveries she’d made today." | | 2 | "Lucien stepped closer, the scent of him—leather and something darker, something that made her skin prickle—filling her lungs." | | 3 | "But the way he looked at her—like he could see right through her, like he’d always known the parts of her she tried to hide—made her chest tighten." | | 4 | "She could feel the weight of everything unsaid, everything left between them—the way he’d walked out without a word, the way she’d let him, the way she’d spent the last year pretending she didn’t still think about him every damn day." | | 5 | "She unfolded it, scanning the address—some industrial district on the outskirts of the city." | | 6 | "But all she felt was the old, familiar pull—the one that had always made her stupid when it came to him." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 713 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.03225806451612903 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002805049088359046 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 10.01 | | std | 7.66 | | cv | 0.765 | | sampleLengths | | 0 | 20 | | 1 | 19 | | 2 | 24 | | 3 | 18 | | 4 | 10 | | 5 | 23 | | 6 | 9 | | 7 | 6 | | 8 | 3 | | 9 | 3 | | 10 | 11 | | 11 | 11 | | 12 | 12 | | 13 | 2 | | 14 | 3 | | 15 | 10 | | 16 | 40 | | 17 | 10 | | 18 | 11 | | 19 | 3 | | 20 | 11 | | 21 | 8 | | 22 | 4 | | 23 | 5 | | 24 | 21 | | 25 | 11 | | 26 | 21 | | 27 | 10 | | 28 | 11 | | 29 | 3 | | 30 | 5 | | 31 | 21 | | 32 | 15 | | 33 | 7 | | 34 | 7 | | 35 | 5 | | 36 | 18 | | 37 | 2 | | 38 | 5 | | 39 | 7 | | 40 | 3 | | 41 | 7 | | 42 | 6 | | 43 | 7 | | 44 | 16 | | 45 | 2 | | 46 | 4 | | 47 | 15 | | 48 | 28 | | 49 | 9 |
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| 61.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3953488372093023 | | totalSentences | 86 | | uniqueOpeners | 34 | |
| 56.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 59 | | matches | | 0 | "Instead, he let his cane" |
| | ratio | 0.017 | |
| 36.95% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 59 | | matches | | 0 | "His tailored charcoal suit clung" | | 1 | "His platinum blond hair was" | | 2 | "She should’ve known better than" | | 3 | "She stepped back, letting the" | | 4 | "She crossed her arms, the" | | 5 | "He didn’t answer right away." | | 6 | "he said finally, his voice" | | 7 | "His gaze dropped to her" | | 8 | "She yanked her sleeve down," | | 9 | "She laughed, sharp and humorless." | | 10 | "His lips quirked." | | 11 | "His voice dropped, rougher now," | | 12 | "She should’ve walked away." | | 13 | "she said, her voice steadier" | | 14 | "She could feel the weight" | | 15 | "she asked, her voice cutting" | | 16 | "He reached into his coat," | | 17 | "She took the paper, her" | | 18 | "She unfolded it, scanning the" | | 19 | "His smile was all teeth." |
| | ratio | 0.458 | |
| 19.32% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 52 | | totalSentences | 59 | | matches | | 0 | "The door creaked open before" | | 1 | "The scent of damp wool" | | 2 | "Lucien stood there, his polished" | | 3 | "His tailored charcoal suit clung" | | 4 | "His platinum blond hair was" | | 5 | "Rory froze, her fingers still" | | 6 | "Lucien didn’t flinch." | | 7 | "The words hung between them," | | 8 | "Rory exhaled through her nose," | | 9 | "She should’ve known better than" | | 10 | "She stepped back, letting the" | | 11 | "The flat was smaller than" | | 12 | "Nothing like the sterile precision" | | 13 | "Lucien’s gaze flicked over the" | | 14 | "Rory snapped, but her voice" | | 15 | "She crossed her arms, the" | | 16 | "He didn’t answer right away." | | 17 | "The blade inside was hidden," | | 18 | "he said finally, his voice" | | 19 | "Rory’s stomach twisted." |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 93.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 2 | | matches | | 0 | "Lucien stepped closer, the scent of him—leather and something darker, something that made her skin prickle—filling her lungs." | | 1 | "The door clicked shut behind him, leaving her standing there, her pulse roaring in her ears." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 4 | | matches | | 0 | "Rory snapped, but her voice lacked its usual bite" | | 1 | "he said finally, his voice smooth as aged brandy" | | 2 | "she said, her voice steadier than she felt" | | 3 | "she asked, her voice cutting through the tension" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 33 | | tagDensity | 0.152 | | leniency | 0.303 | | rawRatio | 0.2 | | effectiveRatio | 0.061 | |