| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 77 | | tagDensity | 0.013 | | leniency | 0.026 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.53% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1439 | | 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) | |
| 58.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1439 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "calculated" | | 1 | "tracing" | | 2 | "silence" | | 3 | "reminder" | | 4 | "shattered" | | 5 | "stomach" | | 6 | "trembled" | | 7 | "pulse" | | 8 | "thundered" | | 9 | "traced" | | 10 | "flickered" |
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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 | 83 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 83 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 160 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1439 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 72.89% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 843 | | uniqueNames | 9 | | maxNameDensity | 1.54 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 13 | | Moreau | 1 | | Brick | 2 | | Lane | 2 | | Eva | 2 | | Enochian | 1 | | Avaros | 1 | | Lucien | 12 | | Ptolemy | 3 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Lucien" | | 4 | "Ptolemy" |
| | places | | | globalScore | 0.729 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.695 | | wordCount | 1439 | | matches | | 0 | "not painful, but possessive" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 160 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 125 | | mean | 11.51 | | std | 12.48 | | cv | 1.084 | | sampleLengths | | 0 | 11 | | 1 | 46 | | 2 | 3 | | 3 | 3 | | 4 | 8 | | 5 | 24 | | 6 | 7 | | 7 | 5 | | 8 | 5 | | 9 | 16 | | 10 | 6 | | 11 | 22 | | 12 | 2 | | 13 | 4 | | 14 | 14 | | 15 | 3 | | 16 | 3 | | 17 | 10 | | 18 | 5 | | 19 | 8 | | 20 | 4 | | 21 | 7 | | 22 | 4 | | 23 | 71 | | 24 | 2 | | 25 | 3 | | 26 | 3 | | 27 | 12 | | 28 | 7 | | 29 | 9 | | 30 | 7 | | 31 | 11 | | 32 | 3 | | 33 | 7 | | 34 | 3 | | 35 | 4 | | 36 | 10 | | 37 | 41 | | 38 | 3 | | 39 | 10 | | 40 | 1 | | 41 | 1 | | 42 | 7 | | 43 | 13 | | 44 | 2 | | 45 | 8 | | 46 | 15 | | 47 | 11 | | 48 | 2 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 83 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 139 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 160 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 622 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 9 | | adverbRatio | 0.014469453376205787 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006430868167202572 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 160 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 160 | | mean | 8.99 | | std | 7.27 | | cv | 0.808 | | sampleLengths | | 0 | 11 | | 1 | 19 | | 2 | 27 | | 3 | 3 | | 4 | 3 | | 5 | 8 | | 6 | 24 | | 7 | 7 | | 8 | 5 | | 9 | 5 | | 10 | 16 | | 11 | 6 | | 12 | 6 | | 13 | 16 | | 14 | 2 | | 15 | 4 | | 16 | 14 | | 17 | 3 | | 18 | 3 | | 19 | 10 | | 20 | 5 | | 21 | 8 | | 22 | 4 | | 23 | 7 | | 24 | 4 | | 25 | 15 | | 26 | 20 | | 27 | 12 | | 28 | 3 | | 29 | 21 | | 30 | 2 | | 31 | 3 | | 32 | 3 | | 33 | 12 | | 34 | 7 | | 35 | 9 | | 36 | 7 | | 37 | 11 | | 38 | 3 | | 39 | 7 | | 40 | 3 | | 41 | 4 | | 42 | 10 | | 43 | 3 | | 44 | 13 | | 45 | 25 | | 46 | 3 | | 47 | 10 | | 48 | 1 | | 49 | 1 |
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| 45.63% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.29375 | | totalSentences | 160 | | uniqueOpeners | 47 | |
| 40.16% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 83 | | matches | | 0 | "Instead, she tilted her chin" |
| | ratio | 0.012 | |
| 46.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 83 | | matches | | 0 | "He tapped his ivory-handled cane" | | 1 | "She tried to shut the" | | 2 | "His cane shot out, the" | | 3 | "He inspected his fingernails." | | 4 | "He smiled, and it didn't" | | 5 | "He pushed past her, his" | | 6 | "He surveyed the room, taking" | | 7 | "He picked up a scroll," | | 8 | "He set the scroll down" | | 9 | "He stepped closer, his cane" | | 10 | "He repeated the word as" | | 11 | "She refused to give him" | | 12 | "He placed it on the" | | 13 | "Her stomach turned, but she" | | 14 | "She looked up at him." | | 15 | "His face gave nothing away," | | 16 | "He lifted his hand, his" | | 17 | "He didn't touch her." | | 18 | "His amber eye flashed." | | 19 | "She turned away, pacing toward" |
| | ratio | 0.434 | |
| 14.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 83 | | matches | | 0 | "The third deadbolt snapped aside," | | 1 | "Lucien Moreau filled the narrow" | | 2 | "He tapped his ivory-handled cane" | | 3 | "Rory gripped the edge of" | | 4 | "Lucien's gaze dropped to her" | | 5 | "She tried to shut the" | | 6 | "His cane shot out, the" | | 7 | "He inspected his fingernails." | | 8 | "Rory's jaw tightened." | | 9 | "He smiled, and it didn't" | | 10 | "He pushed past her, his" | | 11 | "The air inside smelled of" | | 12 | "Ptolemy, Eva's tabby cat, hissed" | | 13 | "Lucien didn't flinch." | | 14 | "He surveyed the room, taking" | | 15 | "He picked up a scroll," | | 16 | "He set the scroll down" | | 17 | "Rory folded her arms across" | | 18 | "The air shifted." | | 19 | "Lucien turned, his platinum hair" |
| | ratio | 0.892 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 2 | | matches | | 0 | "One amber eye and one black one fixed on her face with the calm precision of a man who'd already calculated every way the evening could end." | | 1 | "The script writhed beneath her touch, but she recognised her own name at the bottom, signed in a hand that wasn't hers." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "The image showed, its window shattered" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |