| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 49 | | tagDensity | 0.02 | | leniency | 0.041 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.79% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1387 | | totalAiIsmAdverbs | 2 | | 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) | |
| 60.35% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1387 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "gleaming" | | 1 | "pulse" | | 2 | "reminder" | | 3 | "familiar" | | 4 | "silk" | | 5 | "chilled" | | 6 | "silence" | | 7 | "chill" | | 8 | "fluttered" |
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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 | 59 | | matches | (empty) | |
| 94.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 59 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 107 | | 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 | 1386 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 882 | | uniqueNames | 12 | | maxNameDensity | 0.68 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | Lucien | 6 | | Brick | 1 | | Lane | 1 | | Marseille | 1 | | Cardiff | 1 | | London | 1 | | French | 1 | | Eva | 2 | | Whitechapel | 1 | | Dover | 1 | | Aurora | 5 |
| | persons | | 0 | "Moreau" | | 1 | "Lucien" | | 2 | "Eva" | | 3 | "Aurora" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Marseille" | | 3 | "Cardiff" | | 4 | "London" | | 5 | "Whitechapel" | | 6 | "Dover" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like dragging grit" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.722 | | wordCount | 1386 | | matches | | 0 | "not an invitation, simply an acknowledgment of space, but he took it immediately" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 107 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 19.8 | | std | 19.16 | | cv | 0.967 | | sampleLengths | | 0 | 15 | | 1 | 67 | | 2 | 4 | | 3 | 55 | | 4 | 7 | | 5 | 1 | | 6 | 20 | | 7 | 34 | | 8 | 20 | | 9 | 20 | | 10 | 51 | | 11 | 33 | | 12 | 3 | | 13 | 27 | | 14 | 14 | | 15 | 14 | | 16 | 84 | | 17 | 6 | | 18 | 33 | | 19 | 3 | | 20 | 41 | | 21 | 8 | | 22 | 11 | | 23 | 10 | | 24 | 60 | | 25 | 18 | | 26 | 9 | | 27 | 7 | | 28 | 1 | | 29 | 41 | | 30 | 7 | | 31 | 7 | | 32 | 9 | | 33 | 24 | | 34 | 19 | | 35 | 9 | | 36 | 19 | | 37 | 22 | | 38 | 9 | | 39 | 8 | | 40 | 13 | | 41 | 61 | | 42 | 4 | | 43 | 27 | | 44 | 9 | | 45 | 10 | | 46 | 11 | | 47 | 44 | | 48 | 15 | | 49 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 139 | | matches | (empty) | |
| 89.45% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 107 | | ratio | 0.019 | | matches | | 0 | "His mismatched eyes caught the hallway glare—the left a hard, clear amber, the right an inkwell with no bottom." | | 1 | "He didn't close the gap; he waited, an agonizing, disciplined hesitation that made her throat tighten until swallowing felt like dragging grit." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 887 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.029312288613303268 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.013528748590755355 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 107 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 107 | | mean | 12.95 | | std | 7.91 | | cv | 0.61 | | sampleLengths | | 0 | 15 | | 1 | 25 | | 2 | 5 | | 3 | 18 | | 4 | 19 | | 5 | 4 | | 6 | 16 | | 7 | 14 | | 8 | 25 | | 9 | 7 | | 10 | 1 | | 11 | 20 | | 12 | 15 | | 13 | 19 | | 14 | 20 | | 15 | 20 | | 16 | 5 | | 17 | 15 | | 18 | 19 | | 19 | 12 | | 20 | 13 | | 21 | 20 | | 22 | 3 | | 23 | 21 | | 24 | 6 | | 25 | 14 | | 26 | 14 | | 27 | 9 | | 28 | 5 | | 29 | 12 | | 30 | 25 | | 31 | 6 | | 32 | 27 | | 33 | 6 | | 34 | 33 | | 35 | 3 | | 36 | 25 | | 37 | 16 | | 38 | 8 | | 39 | 11 | | 40 | 10 | | 41 | 13 | | 42 | 37 | | 43 | 10 | | 44 | 18 | | 45 | 9 | | 46 | 7 | | 47 | 1 | | 48 | 22 | | 49 | 7 |
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| 57.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.35514018691588783 | | totalSentences | 107 | | uniqueOpeners | 38 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 54.48% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 58 | | matches | | 0 | "His ivory cane rested between" | | 1 | "Her pulse hammered against her" | | 2 | "His mismatched eyes caught the" | | 3 | "She moved back two paces." | | 4 | "It was not an invitation," | | 5 | "He crossed the threshold with" | | 6 | "His fingers, long and immaculate," | | 7 | "He took up too much" | | 8 | "He slipped the heavy coat" | | 9 | "She rubbed the ridge of" | | 10 | "Her surname sounded softer in" | | 11 | "He closed the remaining yard" | | 12 | "His cane remained propped against" | | 13 | "Her voice cracked the stale" | | 14 | "He stepped closer, his chest" | | 15 | "He smelled of rain-chilled cedar," | | 16 | "Her hand braced against the" | | 17 | "His hand came up, hovering" | | 18 | "He didn't close the gap;" | | 19 | "She hated how familiar the" |
| | ratio | 0.414 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 58 | | matches | | 0 | "The third brass deadbolt gave" | | 1 | "Cardamom and charred coriander drifted" | | 2 | "Lucien Moreau filled the doorframe." | | 3 | "Rain clung to the shoulders" | | 4 | "His ivory cane rested between" | | 5 | "Aurora kept her palm flat" | | 6 | "Her pulse hammered against her" | | 7 | "Lucien’s mouth tipped at one" | | 8 | "His mismatched eyes caught the" | | 9 | "She moved back two paces." | | 10 | "It was not an invitation," | | 11 | "He crossed the threshold with" | | 12 | "The tip of his cane" | | 13 | "Ptolemy launched himself off a" | | 14 | "The orange tabby hit the" | | 15 | "Lucien stripped his gloves finger" | | 16 | "The beast arched into the" | | 17 | "The remark stripped the mockery" | | 18 | "Lucien stopped unbuttoning his overcoat." | | 19 | "His fingers, long and immaculate," |
| | ratio | 0.931 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 4 | | matches | | 0 | "He didn't close the gap; he waited, an agonizing, disciplined hesitation that made her throat tighten until swallowing felt like dragging grit." | | 1 | "The touch was warm, burning straight through the chill that had settled into her cheeks from the damp flat." | | 2 | "His thumb grazed the line of her jaw, lingering on the pulse leaping beneath the hollow of her ear." | | 3 | "She gave a small, humorless breath that fluttered against his collar." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Aurora muttered (mutter)" |
| | dialogueSentences | 49 | | tagDensity | 0.02 | | leniency | 0.041 | | rawRatio | 1 | | effectiveRatio | 0.041 | |