| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said softly [softly]" |
| | dialogueSentences | 51 | | tagDensity | 0.255 | | leniency | 0.51 | | rawRatio | 0.077 | | effectiveRatio | 0.039 | |
| 95.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1172 | | 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) | |
| 31.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1172 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "effortless" | | 1 | "sanctuary" | | 2 | "silence" | | 3 | "stark" | | 4 | "familiar" | | 5 | "treacherous" | | 6 | "unsettled" | | 7 | "electric" | | 8 | "chill" | | 9 | "warmth" | | 10 | "reminder" | | 11 | "flicker" | | 12 | "fractured" | | 13 | "pulse" | | 14 | "shattered" | | 15 | "grappling" |
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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 | 57 | | matches | (empty) | |
| 67.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 57 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 95 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1172 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 94.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 723 | | uniqueNames | 11 | | maxNameDensity | 1.11 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 6 | | Moreau | 1 | | Eva | 2 | | Sumerian | 1 | | Lucien | 8 | | Wales | 1 | | London | 2 | | Marseille | 1 | | English | 1 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Lucien" |
| | places | | 0 | "Wales" | | 1 | "London" | | 2 | "Marseille" | | 3 | "Brick" | | 4 | "Lane" |
| | globalScore | 0.947 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.853 | | wordCount | 1172 | | matches | | 0 | "not squeeze hard enough to bruise, but the grip was absolute, an iron band forged in colder fires t" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 19.21 | | std | 16.46 | | cv | 0.857 | | sampleLengths | | 0 | 20 | | 1 | 6 | | 2 | 45 | | 3 | 5 | | 4 | 32 | | 5 | 4 | | 6 | 33 | | 7 | 46 | | 8 | 13 | | 9 | 39 | | 10 | 6 | | 11 | 18 | | 12 | 39 | | 13 | 8 | | 14 | 8 | | 15 | 5 | | 16 | 10 | | 17 | 6 | | 18 | 5 | | 19 | 49 | | 20 | 19 | | 21 | 5 | | 22 | 4 | | 23 | 14 | | 24 | 12 | | 25 | 4 | | 26 | 53 | | 27 | 57 | | 28 | 6 | | 29 | 8 | | 30 | 26 | | 31 | 31 | | 32 | 2 | | 33 | 13 | | 34 | 7 | | 35 | 22 | | 36 | 46 | | 37 | 4 | | 38 | 4 | | 39 | 3 | | 40 | 43 | | 41 | 10 | | 42 | 20 | | 43 | 13 | | 44 | 3 | | 45 | 42 | | 46 | 5 | | 47 | 43 | | 48 | 15 | | 49 | 12 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 121 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 95 | | ratio | 0.011 | | matches | | 0 | "The amber eye held fire; the black eye held nothing at all." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 730 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.024657534246575342 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.012328767123287671 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 95 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 95 | | mean | 12.34 | | std | 8.21 | | cv | 0.666 | | sampleLengths | | 0 | 20 | | 1 | 6 | | 2 | 15 | | 3 | 9 | | 4 | 21 | | 5 | 5 | | 6 | 29 | | 7 | 3 | | 8 | 4 | | 9 | 5 | | 10 | 28 | | 11 | 18 | | 12 | 4 | | 13 | 24 | | 14 | 4 | | 15 | 9 | | 16 | 21 | | 17 | 12 | | 18 | 6 | | 19 | 6 | | 20 | 18 | | 21 | 15 | | 22 | 24 | | 23 | 8 | | 24 | 8 | | 25 | 5 | | 26 | 10 | | 27 | 6 | | 28 | 5 | | 29 | 8 | | 30 | 11 | | 31 | 12 | | 32 | 18 | | 33 | 19 | | 34 | 5 | | 35 | 4 | | 36 | 14 | | 37 | 12 | | 38 | 4 | | 39 | 10 | | 40 | 28 | | 41 | 15 | | 42 | 19 | | 43 | 8 | | 44 | 30 | | 45 | 6 | | 46 | 8 | | 47 | 3 | | 48 | 12 | | 49 | 11 |
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| 62.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4105263157894737 | | totalSentences | 95 | | uniqueOpeners | 39 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 50 | | matches | | 0 | "His ivory-handled cane rested against" | | 1 | "His heterochromatic gaze pinned her," | | 2 | "He stepped past her anyway." | | 3 | "He walked into the cramped" | | 4 | "Her left wrist twitched, the" | | 5 | "He peeled off his leather" | | 6 | "She knew the danger of" | | 7 | "His demon heritage bled into" | | 8 | "He unbuttoned his overcoat, revealing" | | 9 | "She hated how easily he" | | 10 | "She had run from Wales" | | 11 | "Her breath hitched." | | 12 | "She locked her jaw, refusing" | | 13 | "He did not rush." | | 14 | "He moved like a shadow" | | 15 | "She tilted her head back," | | 16 | "His throat moved as he" | | 17 | "His gloveless hand lifted, hovering" | | 18 | "he said softly" | | 19 | "Her voice remained flat, every" |
| | ratio | 0.5 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 50 | | matches | | 0 | "The third deadbolt clicked free," | | 1 | "Lucien Moreau stood on the" | | 2 | "His ivory-handled cane rested against" | | 3 | "His heterochromatic gaze pinned her," | | 4 | "He stepped past her anyway." | | 5 | "The movement held the effortless," | | 6 | "Ptolemy hissed from the top" | | 7 | "Lucien did not flinch." | | 8 | "He walked into the cramped" | | 9 | "Rory slammed the door, throwing" | | 10 | "Her left wrist twitched, the" | | 11 | "Lucien turned, his slicked-back platinum" | | 12 | "He peeled off his leather" | | 13 | "The silence between them stretched," | | 14 | "Rory crossed her arms, anchoring" | | 15 | "She knew the danger of" | | 16 | "His demon heritage bled into" | | 17 | "Lucien set his cane against" | | 18 | "He unbuttoned his overcoat, revealing" | | 19 | "Every inch of him remained" |
| | ratio | 0.94 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 73.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 3 | | matches | | 0 | "He walked into the cramped room as though he held the deed to the building, his cane tapping once against the bare pine floorboards." | | 1 | "He unbuttoned his overcoat, revealing the immaculate line of his charcoal waistcoat, the silver chain hooked through his third buttonhole, the stark white colla…" | | 2 | "The chill coming off him raised goosebumps along her arms, fighting the heavy warmth of his skin." |
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| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 1 | | matches | | 0 | "he murmured, his thumb brushing the rapid flutter of her vein" |
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| 51.96% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 5 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "Lucien corrected (correct)" | | 2 | "he whispered (whisper)" | | 3 | "he growled (growl)" | | 4 | "he murmured (murmur)" |
| | dialogueSentences | 51 | | tagDensity | 0.196 | | leniency | 0.392 | | rawRatio | 0.5 | | effectiveRatio | 0.196 | |