| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 96.08% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1276 | | 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) | |
| 33.39% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1276 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "weight" | | 1 | "rhythmic" | | 2 | "echoed" | | 3 | "variables" | | 4 | "stark" | | 5 | "footsteps" | | 6 | "stomach" | | 7 | "silence" | | 8 | "traced" | | 9 | "pulse" | | 10 | "could feel" | | 11 | "tension" | | 12 | "blown wide" | | 13 | "intensity" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 79 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 79 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1274 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.58% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 950 | | uniqueNames | 3 | | maxNameDensity | 1.37 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | | places | | | globalScore | 0.816 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1274 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 114 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 19.3 | | std | 14.96 | | cv | 0.775 | | sampleLengths | | 0 | 27 | | 1 | 49 | | 2 | 15 | | 3 | 4 | | 4 | 13 | | 5 | 39 | | 6 | 24 | | 7 | 11 | | 8 | 6 | | 9 | 46 | | 10 | 12 | | 11 | 15 | | 12 | 49 | | 13 | 4 | | 14 | 20 | | 15 | 30 | | 16 | 7 | | 17 | 51 | | 18 | 4 | | 19 | 22 | | 20 | 4 | | 21 | 8 | | 22 | 8 | | 23 | 14 | | 24 | 22 | | 25 | 20 | | 26 | 22 | | 27 | 18 | | 28 | 25 | | 29 | 12 | | 30 | 6 | | 31 | 46 | | 32 | 27 | | 33 | 26 | | 34 | 8 | | 35 | 3 | | 36 | 18 | | 37 | 52 | | 38 | 26 | | 39 | 3 | | 40 | 2 | | 41 | 4 | | 42 | 3 | | 43 | 15 | | 44 | 48 | | 45 | 5 | | 46 | 8 | | 47 | 31 | | 48 | 21 | | 49 | 52 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 148 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 114 | | ratio | 0.009 | | matches | | 0 | "The sounds of the bar downstairs—the muffled bass of a song, the distant shout of a patron—faded into a blur." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 954 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.011530398322851153 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0031446540880503146 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 11.18 | | std | 6.36 | | cv | 0.569 | | sampleLengths | | 0 | 9 | | 1 | 18 | | 2 | 5 | | 3 | 22 | | 4 | 22 | | 5 | 7 | | 6 | 8 | | 7 | 4 | | 8 | 13 | | 9 | 6 | | 10 | 14 | | 11 | 19 | | 12 | 4 | | 13 | 7 | | 14 | 13 | | 15 | 11 | | 16 | 6 | | 17 | 8 | | 18 | 22 | | 19 | 16 | | 20 | 12 | | 21 | 15 | | 22 | 11 | | 23 | 15 | | 24 | 23 | | 25 | 4 | | 26 | 20 | | 27 | 10 | | 28 | 20 | | 29 | 7 | | 30 | 6 | | 31 | 9 | | 32 | 17 | | 33 | 12 | | 34 | 7 | | 35 | 4 | | 36 | 9 | | 37 | 13 | | 38 | 4 | | 39 | 2 | | 40 | 6 | | 41 | 8 | | 42 | 14 | | 43 | 8 | | 44 | 14 | | 45 | 20 | | 46 | 22 | | 47 | 3 | | 48 | 15 | | 49 | 25 |
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| 35.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.16666666666666666 | | totalSentences | 114 | | uniqueOpeners | 19 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 77 | | matches | | 0 | "He wore a charcoal suit" | | 1 | "He leaned on his ivory-handled" | | 2 | "Her knuckles turned white against" | | 3 | "He stepped forward, forcing her" | | 4 | "He moved with a predatory" | | 5 | "She leaned her back against" | | 6 | "He paused in the center" | | 7 | "His gaze swept over the" | | 8 | "He looked back at her," | | 9 | "He shifted his cane, the" | | 10 | "He stepped closer, invading her" | | 11 | "He reached out, his fingers" | | 12 | "He didn't touch her, but" | | 13 | "She walked toward the small" | | 14 | "She grabbed a glass from" | | 15 | "She caught a glimpse of" | | 16 | "It looked stark against her" | | 17 | "He stopped at the edge" | | 18 | "He leaned in, his voice" | | 19 | "He gripped the handle of" |
| | ratio | 0.597 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 77 | | matches | | 0 | "The deadbolt clicked back, and" | | 1 | "A gust of damp London" | | 2 | "Lucien stood in the corridor." | | 3 | "He wore a charcoal suit" | | 4 | "He leaned on his ivory-handled" | | 5 | "Rory gripped the edge of" | | 6 | "Her knuckles turned white against" | | 7 | "Lucien didn't wait for an" | | 8 | "He stepped forward, forcing her" | | 9 | "He moved with a predatory" | | 10 | "Rory closed the door." | | 11 | "The sound echoed through the" | | 12 | "She leaned her back against" | | 13 | "He paused in the center" | | 14 | "His gaze swept over the" | | 15 | "He looked back at her," | | 16 | "Lucien chuckled, a low vibration" | | 17 | "He shifted his cane, the" | | 18 | "He stepped closer, invading her" | | 19 | "He reached out, his fingers" |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 96.27% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 3 | | matches | | 0 | "He wore a charcoal suit tailored to a razor’s edge, the fabric repelling the drizzle that clung to his platinum blond hair." | | 1 | "The anger in her chest warred with a hunger that made her stomach twist." | | 2 | "He slid his hand down to the nape of her neck, his fingers tangling in her black hair, pulling her head back just enough to expose the pulse thrumming in her th…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |