| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 2 | | adverbTags | | 0 | "She stepped around [around]" | | 1 | "She pulled back [back]" |
| | dialogueSentences | 53 | | tagDensity | 0.245 | | leniency | 0.491 | | rawRatio | 0.154 | | effectiveRatio | 0.075 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1226 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 83.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1226 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "flickered" | | 1 | "pulse" | | 2 | "tension" | | 3 | "silence" |
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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 | 112 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 112 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 152 | | 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 | 1225 | | ratio | 0 | | matches | (empty) | |
| 83.33% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 1 | | matches | | 0 | "Outside, London breathed." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 761 | | uniqueNames | 9 | | maxNameDensity | 0.79 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | Cardiff | 1 | | Marseille | 1 | | Lucien | 5 | | One | 2 | | Golden | 1 | | Empress | 1 | | London | 1 | | Rory | 6 |
| | persons | | 0 | "Moreau" | | 1 | "Lucien" | | 2 | "Rory" |
| | places | | 0 | "Cardiff" | | 1 | "Marseille" | | 2 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | 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 | 1225 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 152 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 66 | | mean | 18.56 | | std | 18.56 | | cv | 1 | | sampleLengths | | 0 | 9 | | 1 | 5 | | 2 | 44 | | 3 | 2 | | 4 | 13 | | 5 | 7 | | 6 | 3 | | 7 | 13 | | 8 | 22 | | 9 | 3 | | 10 | 8 | | 11 | 59 | | 12 | 50 | | 13 | 2 | | 14 | 4 | | 15 | 7 | | 16 | 8 | | 17 | 4 | | 18 | 1 | | 19 | 30 | | 20 | 6 | | 21 | 14 | | 22 | 1 | | 23 | 33 | | 24 | 32 | | 25 | 16 | | 26 | 24 | | 27 | 24 | | 28 | 11 | | 29 | 7 | | 30 | 14 | | 31 | 66 | | 32 | 14 | | 33 | 62 | | 34 | 11 | | 35 | 3 | | 36 | 63 | | 37 | 16 | | 38 | 21 | | 39 | 4 | | 40 | 12 | | 41 | 43 | | 42 | 2 | | 43 | 2 | | 44 | 61 | | 45 | 31 | | 46 | 48 | | 47 | 15 | | 48 | 35 | | 49 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 141 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 152 | | ratio | 0.007 | | matches | | 0 | "He surveyed the flat—the sparse furniture, the absence of decoration, the single photograph of Cardiff pinned to the fridge with a magnet shaped like a dragon." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 450 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.022222222222222223 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0022222222222222222 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 152 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 152 | | mean | 8.06 | | std | 7.11 | | cv | 0.882 | | sampleLengths | | 0 | 4 | | 1 | 5 | | 2 | 5 | | 3 | 9 | | 4 | 21 | | 5 | 8 | | 6 | 6 | | 7 | 2 | | 8 | 3 | | 9 | 8 | | 10 | 2 | | 11 | 7 | | 12 | 3 | | 13 | 5 | | 14 | 8 | | 15 | 4 | | 16 | 4 | | 17 | 11 | | 18 | 3 | | 19 | 3 | | 20 | 4 | | 21 | 4 | | 22 | 2 | | 23 | 20 | | 24 | 25 | | 25 | 12 | | 26 | 4 | | 27 | 6 | | 28 | 26 | | 29 | 14 | | 30 | 2 | | 31 | 4 | | 32 | 4 | | 33 | 3 | | 34 | 4 | | 35 | 4 | | 36 | 4 | | 37 | 1 | | 38 | 2 | | 39 | 16 | | 40 | 6 | | 41 | 6 | | 42 | 6 | | 43 | 14 | | 44 | 1 | | 45 | 2 | | 46 | 7 | | 47 | 24 | | 48 | 10 | | 49 | 4 |
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| 50.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.32894736842105265 | | totalSentences | 152 | | uniqueOpeners | 50 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 101 | | matches | (empty) | | ratio | 0 | |
| 10.10% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 53 | | totalSentences | 101 | | matches | | 0 | "His platinum hair, slicked back" | | 1 | "He leaned on his ivory-handled" | | 2 | "She didn't move." | | 3 | "Her fingers stayed white-knuckled on" | | 4 | "She started to close it." | | 5 | "He held his ground." | | 6 | "Her space was small: a" | | 7 | "He surveyed the flat—the sparse" | | 8 | "His gaze lingered on the" | | 9 | "She crossed her arms." | | 10 | "His gaze dropped to her" | | 11 | "It was a sharp sound," | | 12 | "He set his cane against" | | 13 | "She walked to the kitchenette," | | 14 | "His hand slammed the counter." | | 15 | "His voice dropped" | | 16 | "His fingers uncurled from the" | | 17 | "She faced him." | | 18 | "Her bright blue eyes blazed." | | 19 | "She stepped around the counter" |
| | ratio | 0.525 | |
| 14.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 101 | | matches | | 0 | "The deadbolt snapped back." | | 1 | "Rory pulled the door open." | | 2 | "Lucien Moreau filled the frame." | | 3 | "Rainwater glistened on the shoulders" | | 4 | "His platinum hair, slicked back" | | 5 | "He leaned on his ivory-handled" | | 6 | "She didn't move." | | 7 | "Her fingers stayed white-knuckled on" | | 8 | "She started to close it." | | 9 | "The cane's ivory head wedged" | | 10 | "Lucien didn't force it." | | 11 | "He held his ground." | | 12 | "Water dripped from the brim" | | 13 | "The door swung inward." | | 14 | "The flat above" | | 15 | "Her space was small: a" | | 16 | "The window behind her rattled" | | 17 | "Lucien removed his hat." | | 18 | "Raindrops scattered across her welcome" | | 19 | "He surveyed the flat—the sparse" |
| | ratio | 0.891 | |
| 49.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 101 | | matches | | 0 | "Before everything went to hell." |
| | ratio | 0.01 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 17 | | technicalSentenceCount | 4 | | matches | | 0 | "Her space was small: a narrow kitchenette, a sofa that doubled as her reading nook, law textbooks stacked against the radiator like a makeshift fort." | | 1 | "It was a fist, gripping his lapel, pulling him closer." | | 2 | "She smelled rain on his skin, and beneath it, something smoky, something that reminded her of the night he'd first kissed her in the alley behind the Golden Emp…" | | 3 | "Her black hair swung across her jaw as she tilted her head up, meeting him with a fierceness that made him groan against her mouth." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 53 | | tagDensity | 0.019 | | leniency | 0.038 | | rawRatio | 1 | | effectiveRatio | 0.038 | |