| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 36 | | adverbTagCount | 10 | | adverbTags | | 0 | "He pulled back [back]" | | 1 | "She swallowed hard [hard]" | | 2 | "He laughed softly [softly]" | | 3 | "she said quietly [quietly]" | | 4 | "he said finally [finally]" | | 5 | "He stepped back [back]" | | 6 | "He looked away [away]" | | 7 | "He turned back [back]" | | 8 | "She swallowed hard [hard]" | | 9 | "He pulled back [back]" |
| | dialogueSentences | 92 | | tagDensity | 0.391 | | leniency | 0.783 | | rawRatio | 0.278 | | effectiveRatio | 0.217 | |
| 90.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1638 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "perfectly" | | 1 | "softly" | | 2 | "really" |
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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) | |
| 57.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1638 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "eyebrow" | | 1 | "pulse" | | 2 | "silence" | | 3 | "weight" | | 4 | "unspoken" | | 5 | "could feel" | | 6 | "warmth" | | 7 | "traced" | | 8 | "raced" | | 9 | "etched" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "hung in the air" | | count | 2 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | 0 | "hung in the air" | | 1 | "sent a jolt through" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 102 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 102 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 157 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1632 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 30 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 1089 | | uniqueNames | 5 | | maxNameDensity | 1.29 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 14 | | Moreau | 1 | | Lucien | 3 | | Ptolemy | 2 | | Avaros | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Ptolemy" |
| | places | (empty) | | globalScore | 0.857 | | windowScore | 0.833 | |
| 42.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like a ghost from a life she’d tri" | | 1 | "smelled like old paper and something else—" | | 2 | "felt like she could breathe again" |
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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 | 1632 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 157 | | matches | | 0 | "remembered that night" | | 1 | "care, that his" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 85 | | mean | 19.2 | | std | 16.78 | | cv | 0.874 | | sampleLengths | | 0 | 65 | | 1 | 54 | | 2 | 13 | | 3 | 15 | | 4 | 51 | | 5 | 6 | | 6 | 55 | | 7 | 13 | | 8 | 28 | | 9 | 8 | | 10 | 27 | | 11 | 9 | | 12 | 2 | | 13 | 4 | | 14 | 18 | | 15 | 50 | | 16 | 6 | | 17 | 23 | | 18 | 2 | | 19 | 31 | | 20 | 7 | | 21 | 23 | | 22 | 65 | | 23 | 13 | | 24 | 11 | | 25 | 60 | | 26 | 4 | | 27 | 24 | | 28 | 46 | | 29 | 3 | | 30 | 2 | | 31 | 3 | | 32 | 18 | | 33 | 5 | | 34 | 20 | | 35 | 18 | | 36 | 33 | | 37 | 39 | | 38 | 7 | | 39 | 13 | | 40 | 11 | | 41 | 63 | | 42 | 5 | | 43 | 2 | | 44 | 4 | | 45 | 2 | | 46 | 5 | | 47 | 9 | | 48 | 13 | | 49 | 15 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 102 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 210 | | matches | | 0 | "was, standing" | | 1 | "was screaming" |
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| 51.87% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 157 | | ratio | 0.032 | | matches | | 0 | "She could smell his cologne—something warm and unfamiliar, nothing like the sandalwood he used to wear." | | 1 | "Books lined every shelf, scrolls were tucked into corners, and the air smelled like old paper and something else—bergamot, maybe, or jasmine." | | 2 | "“He’s useful. Keeps the rats out of my research.” He turned, and she noticed the way his heterochromatic eyes—one amber, one black—caught the light." | | 3 | "But all he found was determination, and something else—hope." | | 4 | "But inside, something had shifted—a boundary crossed, a secret revealed, a future rewritten." |
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| 91.55% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1098 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 47 | | adverbRatio | 0.042805100182149364 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.00819672131147541 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 157 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 157 | | mean | 10.39 | | std | 7.13 | | cv | 0.685 | | sampleLengths | | 0 | 20 | | 1 | 25 | | 2 | 20 | | 3 | 22 | | 4 | 20 | | 5 | 12 | | 6 | 13 | | 7 | 10 | | 8 | 5 | | 9 | 12 | | 10 | 16 | | 11 | 8 | | 12 | 15 | | 13 | 6 | | 14 | 13 | | 15 | 22 | | 16 | 20 | | 17 | 13 | | 18 | 17 | | 19 | 11 | | 20 | 4 | | 21 | 4 | | 22 | 24 | | 23 | 3 | | 24 | 6 | | 25 | 3 | | 26 | 2 | | 27 | 2 | | 28 | 2 | | 29 | 15 | | 30 | 3 | | 31 | 24 | | 32 | 26 | | 33 | 6 | | 34 | 10 | | 35 | 8 | | 36 | 5 | | 37 | 2 | | 38 | 13 | | 39 | 18 | | 40 | 5 | | 41 | 2 | | 42 | 17 | | 43 | 6 | | 44 | 3 | | 45 | 24 | | 46 | 15 | | 47 | 23 | | 48 | 13 | | 49 | 8 |
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| 35.99% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 22 | | diversityRatio | 0.2484076433121019 | | totalSentences | 157 | | uniqueOpeners | 39 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 53 | | totalSentences | 90 | | matches | | 0 | "She’d stood there for a" | | 1 | "His suit was charcoal, perfectly" | | 2 | "He looked like a ghost" | | 3 | "he said, and the accent" | | 4 | "She could smell his cologne—something" | | 5 | "he said, stepping aside" | | 6 | "She followed him into the" | | 7 | "she said, more to herself" | | 8 | "He turned, and she noticed" | | 9 | "She studied him back" | | 10 | "He ran a hand through" | | 11 | "He set his cane against" | | 12 | "His voice dropped, low and" | | 13 | "She felt her jaw tighten." | | 14 | "He reached out, then stopped" | | 15 | "Her breath caught." | | 16 | "She remembered that night, the" | | 17 | "She’d spent weeks convincing herself" | | 18 | "He finally let his hand" | | 19 | "She could feel his gaze" |
| | ratio | 0.589 | |
| 10.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 81 | | totalSentences | 90 | | matches | | 0 | "The door swung open before" | | 1 | "She’d stood there for a" | | 2 | "Lucien Moreau leaned against the" | | 3 | "His suit was charcoal, perfectly" | | 4 | "He looked like a ghost" | | 5 | "he said, and the accent" | | 6 | "Aurora stepped forward, her boots" | | 7 | "The hallway was narrow, the" | | 8 | "She could smell his cologne—something" | | 9 | "Time had changed him, or" | | 10 | "he said, stepping aside" | | 11 | "She followed him into the" | | 12 | "Books lined every shelf, scrolls" | | 13 | "Ptolemy, the tabby cat, materialized" | | 14 | "she said, more to herself" | | 15 | "Lucien replied, hanging his coat" | | 16 | "Aurora crossed her arms." | | 17 | "He turned, and she noticed" | | 18 | "She studied him back" | | 19 | "He ran a hand through" |
| | ratio | 0.9 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 76.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 4 | | matches | | 0 | "She’d stood there for a full minute with her fist raised, heart hammering against her ribs, wondering if this was the right thing to do." | | 1 | "She remembered that night, the way he’d vanished without a trace, leaving only a note that said he was sorry and she’d never understand." | | 2 | "Aurora closed her eyes, fighting the heat rising in her cheeks." | | 3 | "She’d always known there was something different about him, something that set him apart from other men." |
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| 55.56% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 36 | | uselessAdditionCount | 5 | | matches | | 0 | "he said, and the accent curled around the words like smoke" | | 1 | "she said, more to herself than him" | | 2 | "He looked away, jaw tight" | | 3 | "He turned back, eyes burning" | | 4 | "She cupped, thumbs brushing his cheekbones" |
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| 73.91% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 16 | | fancyCount | 7 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "she breathed (breathe)" | | 2 | "he murmured (murmur)" | | 3 | "He laughed softly (laugh)" | | 4 | "she whispered (whisper)" | | 5 | "he whispered (whisper)" | | 6 | "He pressed (press)" |
| | dialogueSentences | 92 | | tagDensity | 0.174 | | leniency | 0.348 | | rawRatio | 0.438 | | effectiveRatio | 0.152 | |