| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "The words tasted like [like]" |
| | dialogueSentences | 38 | | tagDensity | 0.342 | | leniency | 0.684 | | rawRatio | 0.077 | | effectiveRatio | 0.053 | |
| 96.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1389 | | 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) | |
| 74.80% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1389 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "stomach" | | 1 | "pulse" | | 2 | "flickered" | | 3 | "facade" | | 4 | "coded" | | 5 | "could feel" | | 6 | "warmth" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 87 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 87 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "started to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1377 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 1007 | | uniqueNames | 10 | | maxNameDensity | 0.7 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 7 | | Moreau | 1 | | French | 1 | | Mrs | 1 | | Eva | 3 | | Lucien | 4 | | London | 1 | | Evan | 1 | | Aurora | 1 | | Laila | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Mrs" | | 3 | "Eva" | | 4 | "Lucien" | | 5 | "Evan" | | 6 | "Laila" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 30.95% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like someone who needed options" | | 1 | "smelled like the night and the smoke of a" | | 2 | "something like relief softened the hard line" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.726 | | wordCount | 1377 | | matches | | 0 | "not touching, but close enough she could feel the warmth of his skin" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 112 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 33.59 | | std | 22.06 | | cv | 0.657 | | sampleLengths | | 0 | 54 | | 1 | 35 | | 2 | 52 | | 3 | 20 | | 4 | 9 | | 5 | 77 | | 6 | 69 | | 7 | 86 | | 8 | 17 | | 9 | 41 | | 10 | 5 | | 11 | 74 | | 12 | 14 | | 13 | 16 | | 14 | 26 | | 15 | 61 | | 16 | 30 | | 17 | 57 | | 18 | 23 | | 19 | 32 | | 20 | 8 | | 21 | 36 | | 22 | 49 | | 23 | 4 | | 24 | 16 | | 25 | 34 | | 26 | 34 | | 27 | 12 | | 28 | 41 | | 29 | 68 | | 30 | 23 | | 31 | 19 | | 32 | 25 | | 33 | 31 | | 34 | 60 | | 35 | 44 | | 36 | 4 | | 37 | 10 | | 38 | 35 | | 39 | 25 | | 40 | 1 |
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| 97.20% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 87 | | matches | | 0 | "was slicked" | | 1 | "was buried" |
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| 25.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 191 | | matches | | 0 | "were cooling" | | 1 | "was trying" | | 2 | "was standing" | | 3 | "were coming" | | 4 | "were trembling" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 112 | | ratio | 0.089 | | matches | | 0 | "She’d been halfway through a bowl of noodles from work, chopsticks still in hand, when the knock came—three sharp raps, the kind that meant someone knew she was home." | | 1 | "The heterochromatic eyes found hers—amber and black, like a coin flipped mid-air—and held." | | 2 | "Every surface was buried under books and scrolls and the detritus of research—salt circles sketched in pencil on butcher paper, pages torn from grimoires, a half-empty mug of tea that had grown a skin." | | 3 | "The first thing he’d ever done when they met—sized her up like a problem to be solved, a deal to be brokered." | | 4 | "He’d moved closer without her noticing—lean against the counter now, close enough that the ozone smell was sharper." | | 5 | "Something flickered in the amber eye—a crack in the cool facade." | | 6 | "She’d asked him what that meant for them—for her—and he’d gone quiet." | | 7 | "He wrapped his fingers around the mug—long fingers, elegant, with a silver ring on his thumb she didn’t recognize." | | 8 | "Hated the way her chest squeezed when he said her name like that—not Aurora, not Laila, not the alias she’d used in the first weeks." | | 9 | "“I know.” He reached out, and his hand hovered near her wrist—not touching, but close enough she could feel the warmth of his skin." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1022 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 30 | | adverbRatio | 0.029354207436399216 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0029354207436399216 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 12.29 | | std | 8.68 | | cv | 0.706 | | sampleLengths | | 0 | 13 | | 1 | 29 | | 2 | 6 | | 3 | 6 | | 4 | 35 | | 5 | 18 | | 6 | 21 | | 7 | 13 | | 8 | 20 | | 9 | 5 | | 10 | 4 | | 11 | 3 | | 12 | 2 | | 13 | 22 | | 14 | 19 | | 15 | 14 | | 16 | 8 | | 17 | 9 | | 18 | 10 | | 19 | 34 | | 20 | 25 | | 21 | 7 | | 22 | 5 | | 23 | 22 | | 24 | 21 | | 25 | 2 | | 26 | 1 | | 27 | 7 | | 28 | 21 | | 29 | 7 | | 30 | 10 | | 31 | 16 | | 32 | 11 | | 33 | 14 | | 34 | 5 | | 35 | 19 | | 36 | 18 | | 37 | 10 | | 38 | 5 | | 39 | 18 | | 40 | 4 | | 41 | 6 | | 42 | 4 | | 43 | 4 | | 44 | 16 | | 45 | 11 | | 46 | 15 | | 47 | 45 | | 48 | 9 | | 49 | 7 |
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| 58.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.39285714285714285 | | totalSentences | 112 | | uniqueOpeners | 44 | |
| 42.74% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 78 | | matches | | 0 | "Just stood there, lean and" |
| | ratio | 0.013 | |
| 40.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 78 | | matches | | 0 | "She’d been halfway through a" | | 1 | "She pulled the door open" | | 2 | "His platinum hair was slicked" | | 3 | "His voice was low, with" | | 4 | "She let the chain fall." | | 5 | "He didn’t flinch." | | 6 | "She told herself it was" | | 7 | "He came inside, and suddenly" | | 8 | "It was what he did." | | 9 | "She’d been new to London" | | 10 | "He’d handed her a cup" | | 11 | "She’d taken more than options" | | 12 | "She didn’t wait for his" | | 13 | "She set the kettle down" | | 14 | "He’d moved closer without her" | | 15 | "She knew what it concealed." | | 16 | "She’d seen him draw the" | | 17 | "His mouth curved, just a" | | 18 | "His voice dropped, a register" | | 19 | "He’d mentioned it once, late" |
| | ratio | 0.449 | |
| 17.69% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 78 | | matches | | 0 | "The third deadbolt scraped against" | | 1 | "She’d been halfway through a" | | 2 | "Eva wasn’t due back until" | | 3 | "The landlord never knocked like" | | 4 | "She pulled the door open" | | 5 | "Lucien Moreau stood in the" | | 6 | "His platinum hair was slicked" | | 7 | "The heterochromatic eyes found hers—amber" | | 8 | "His voice was low, with" | | 9 | "She let the chain fall." | | 10 | "He didn’t flinch." | | 11 | "Rory stepped back, leaving the" | | 12 | "She told herself it was" | | 13 | "Kapoor, who checked her mail" | | 14 | "He came inside, and suddenly" | | 15 | "Every surface was buried under" | | 16 | "Ptolemy, the tabby, raised his" | | 17 | "Lucien’s gaze swept the room," | | 18 | "It was what he did." | | 19 | "The first thing he’d ever" |
| | ratio | 0.885 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 78 | | matches | (empty) | | ratio | 0 | |
| 86.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 3 | | matches | | 0 | "Every surface was buried under books and scrolls and the detritus of research—salt circles sketched in pencil on butcher paper, pages torn from grimoires, a hal…" | | 1 | "He’d handed her a cup of coffee and a business card and told her she looked like someone who needed options." | | 2 | "He’d mentioned it once, late at night, his hand in her hair, talking about his father’s court like it was an empire he was trying to outrun." |
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| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 2 | | matches | | 0 | "She set, turned to face him" | | 1 | "she said, her voice quieter than she wanted" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.105 | | leniency | 0.211 | | rawRatio | 0 | | effectiveRatio | 0 | |