| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 836 | | 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) | |
| 70.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 836 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "silence" | | 1 | "throbbed" | | 2 | "flickered" | | 3 | "traced" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 66 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 66 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 831 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 53.23% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 465 | | uniqueNames | 10 | | maxNameDensity | 1.94 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Brick | 3 | | Lane | 3 | | Carter | 1 | | Moreau | 1 | | Eva | 4 | | Lucien | 3 | | Rory | 9 | | Heterochromatic | 1 | | Rain | 1 | | Marseille-born | 1 |
| | persons | | 0 | "Carter" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Lucien" | | 4 | "Rory" | | 5 | "Heterochromatic" | | 6 | "Rain" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Marseille-born" |
| | globalScore | 0.532 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | 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 | 831 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 15.68 | | std | 14.26 | | cv | 0.909 | | sampleLengths | | 0 | 24 | | 1 | 8 | | 2 | 13 | | 3 | 6 | | 4 | 37 | | 5 | 4 | | 6 | 8 | | 7 | 3 | | 8 | 1 | | 9 | 34 | | 10 | 22 | | 11 | 8 | | 12 | 46 | | 13 | 13 | | 14 | 5 | | 15 | 5 | | 16 | 24 | | 17 | 7 | | 18 | 3 | | 19 | 18 | | 20 | 17 | | 21 | 5 | | 22 | 7 | | 23 | 35 | | 24 | 14 | | 25 | 35 | | 26 | 45 | | 27 | 13 | | 28 | 36 | | 29 | 29 | | 30 | 6 | | 31 | 2 | | 32 | 2 | | 33 | 46 | | 34 | 4 | | 35 | 4 | | 36 | 5 | | 37 | 18 | | 38 | 6 | | 39 | 67 | | 40 | 17 | | 41 | 4 | | 42 | 5 | | 43 | 10 | | 44 | 8 | | 45 | 15 | | 46 | 19 | | 47 | 3 | | 48 | 11 | | 49 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 91 | | matches | (empty) | |
| 51.67% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 94 | | ratio | 0.032 | | matches | | 0 | "The room cramped beneath books, scrolls, research notes stacked on every surface—Eva's absence heavy, a ghost thicker than Lucien." | | 1 | "Heterochromatic eyes caught the bulb—amber burning, black swallowing light." | | 2 | "His mouth found hers—cold rain, hot regret, four languages collapsing into one breath." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 472 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.025423728813559324 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 8.84 | | std | 8.49 | | cv | 0.96 | | sampleLengths | | 0 | 8 | | 1 | 6 | | 2 | 10 | | 3 | 4 | | 4 | 4 | | 5 | 13 | | 6 | 6 | | 7 | 25 | | 8 | 12 | | 9 | 4 | | 10 | 8 | | 11 | 3 | | 12 | 1 | | 13 | 8 | | 14 | 7 | | 15 | 19 | | 16 | 3 | | 17 | 7 | | 18 | 12 | | 19 | 8 | | 20 | 11 | | 21 | 19 | | 22 | 4 | | 23 | 12 | | 24 | 6 | | 25 | 7 | | 26 | 5 | | 27 | 5 | | 28 | 4 | | 29 | 20 | | 30 | 7 | | 31 | 3 | | 32 | 14 | | 33 | 4 | | 34 | 4 | | 35 | 11 | | 36 | 2 | | 37 | 5 | | 38 | 7 | | 39 | 4 | | 40 | 9 | | 41 | 22 | | 42 | 3 | | 43 | 4 | | 44 | 7 | | 45 | 3 | | 46 | 32 | | 47 | 10 | | 48 | 11 | | 49 | 24 |
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| 58.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.3723404255319149 | | totalSentences | 94 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 58 | | matches | | 0 | "Then she yanked the door" | | 1 | "Bright blue met heterochromatic gold" |
| | ratio | 0.034 | |
| 68.28% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 58 | | matches | | 0 | "She pulled the second." | | 1 | "His ivory cane tapped once" | | 2 | "Her shoulder-length black hair brushed" | | 3 | "He moved past her, slow," | | 4 | "He did not sit." | | 5 | "He stood by the window," | | 6 | "Her blue eyes narrowed." | | 7 | "His mouth twisted" | | 8 | "He stepped closer" | | 9 | "She laughed, brittle." | | 10 | "His gloved hand lifted, hovered" | | 11 | "She felt the flat's cramped" | | 12 | "she said, quiet" | | 13 | "She stepped forward." | | 14 | "His tailored coat brushed her" | | 15 | "She smelled rain, tobacco, the" | | 16 | "His black eye softened" | | 17 | "She traced it, old accident," | | 18 | "She looked up." | | 19 | "His mouth found hers—cold rain," |
| | ratio | 0.379 | |
| 20.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 58 | | matches | | 0 | "The first deadbolt clicked back" | | 1 | "Rory's hand froze on the" | | 2 | "She pulled the second." | | 3 | "The chain rattled free." | | 4 | "Aurora Carter stared into the" | | 5 | "Lucien Moreau filled the frame" | | 6 | "His ivory cane tapped once" | | 7 | "The flat on Brick Lane" | | 8 | "Ptolemy the tabby arched over" | | 9 | "Rory stepped back." | | 10 | "Her shoulder-length black hair brushed" | | 11 | "The crescent scar on her" | | 12 | "He moved past her, slow," | | 13 | "The room cramped beneath books," | | 14 | "He did not sit." | | 15 | "He stood by the window," | | 16 | "Her blue eyes narrowed." | | 17 | "His mouth twisted" | | 18 | "Rory crossed her arms." | | 19 | "The scar on her wrist" |
| | ratio | 0.879 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 17 | | technicalSentenceCount | 1 | | matches | | 0 | "Rory stood in Eva's cramped flat, books and scrolls breathing around her, the scar on her wrist burning like a new moon." |
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| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 40 | | tagDensity | 0.175 | | leniency | 0.35 | | rawRatio | 0.143 | | effectiveRatio | 0.05 | |