| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "Lucien's cane tapped once [once]" |
| | dialogueSentences | 45 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.111 | | effectiveRatio | 0.044 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1356 | | 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) | |
| 70.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1356 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "navigated" | | 1 | "silence" | | 2 | "vibrated" | | 3 | "navigating" | | 4 | "familiar" | | 5 | "warmth" | | 6 | "traced" | | 7 | "eyebrow" |
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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 | 106 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 106 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 142 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1349 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 982 | | uniqueNames | 10 | | maxNameDensity | 1.32 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 2 | | Tuesday | 1 | | Rory | 13 | | Eva | 4 | | Lucien | 13 | | Brick | 1 | | Lane | 1 | | Cardiff | 1 | | Castle | 1 | | Ptolemy | 4 |
| | persons | | 0 | "Moreau" | | 1 | "Rory" | | 2 | "Eva" | | 3 | "Lucien" | | 4 | "Ptolemy" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Cardiff" | | 3 | "Castle" |
| | globalScore | 0.838 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.741 | | wordCount | 1349 | | matches | | 0 | "not static, but something older, hungrier" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 142 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 24.09 | | std | 19.91 | | cv | 0.827 | | sampleLengths | | 0 | 14 | | 1 | 78 | | 2 | 7 | | 3 | 33 | | 4 | 11 | | 5 | 20 | | 6 | 3 | | 7 | 21 | | 8 | 33 | | 9 | 35 | | 10 | 34 | | 11 | 5 | | 12 | 22 | | 13 | 3 | | 14 | 78 | | 15 | 27 | | 16 | 4 | | 17 | 2 | | 18 | 7 | | 19 | 24 | | 20 | 21 | | 21 | 31 | | 22 | 3 | | 23 | 42 | | 24 | 10 | | 25 | 59 | | 26 | 56 | | 27 | 10 | | 28 | 31 | | 29 | 53 | | 30 | 40 | | 31 | 21 | | 32 | 30 | | 33 | 14 | | 34 | 42 | | 35 | 9 | | 36 | 42 | | 37 | 68 | | 38 | 9 | | 39 | 11 | | 40 | 25 | | 41 | 6 | | 42 | 1 | | 43 | 2 | | 44 | 36 | | 45 | 20 | | 46 | 23 | | 47 | 4 | | 48 | 2 | | 49 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 106 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 183 | | matches | (empty) | |
| 2.01% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 7 | | totalSentences | 142 | | ratio | 0.049 | | matches | | 0 | "Platinum hair, slicked back, exposed the full dissonance of his gaze—one eye amber as burnt honey, the other black as a pit without bottom." | | 1 | "The flat was cramped, every surface colonised by Eva's obsession—books on ley lines spilled across the floor, scrolls in dead languages pinned beneath mugs of cold tea, post-it notes flaking from the walls." | | 2 | "She had catalogued his disappearances—half-demon, information broker, a man who dealt in secrets the way she dealt in spring rolls." | | 3 | "Rory felt the anger rise, hot and familiar, but beneath it lurked something worse—relief." | | 4 | "The flat compressed space; three strides and he filled the kitchenette doorway, his shoulders brushing the frame." | | 5 | "A shock ran up her arm—not static, but something older, hungrier." | | 6 | "Rory could smell him now—incense and ozone, the scent of churches struck by lightning." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 994 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.011066398390342052 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 142 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 142 | | mean | 9.5 | | std | 6.19 | | cv | 0.652 | | sampleLengths | | 0 | 9 | | 1 | 5 | | 2 | 5 | | 3 | 19 | | 4 | 11 | | 5 | 24 | | 6 | 6 | | 7 | 13 | | 8 | 7 | | 9 | 6 | | 10 | 2 | | 11 | 20 | | 12 | 5 | | 13 | 11 | | 14 | 10 | | 15 | 10 | | 16 | 3 | | 17 | 7 | | 18 | 9 | | 19 | 5 | | 20 | 7 | | 21 | 15 | | 22 | 11 | | 23 | 3 | | 24 | 12 | | 25 | 20 | | 26 | 7 | | 27 | 8 | | 28 | 10 | | 29 | 9 | | 30 | 3 | | 31 | 2 | | 32 | 14 | | 33 | 4 | | 34 | 4 | | 35 | 3 | | 36 | 10 | | 37 | 6 | | 38 | 16 | | 39 | 33 | | 40 | 13 | | 41 | 2 | | 42 | 16 | | 43 | 5 | | 44 | 4 | | 45 | 2 | | 46 | 2 | | 47 | 2 | | 48 | 7 | | 49 | 16 |
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| 41.55% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.24647887323943662 | | totalSentences | 142 | | uniqueOpeners | 35 | |
| 33.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 99 | | matches | | 0 | "Instead, she found a hollow" |
| | ratio | 0.01 | |
| 38.18% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 99 | | matches | | 0 | "His charcoal suit remained immaculate," | | 1 | "He leaned on his ivory-handled" | | 2 | "She knew because she'd stopped" | | 3 | "Her bright blue eyes narrowed." | | 4 | "She made to close the" | | 5 | "His cane shot forward, the" | | 6 | "She kept her hand on" | | 7 | "He stared at it like" | | 8 | "His jaw tightened." | | 9 | "She pushed against the door" | | 10 | "Her grip on the door" | | 11 | "She stepped back, not because" | | 12 | "He closed the door, the" | | 13 | "He didn't lock them." | | 14 | "He stayed near the entrance," | | 15 | "His heterochromatic eyes stayed fixed" | | 16 | "He spoke to the glass." | | 17 | "He moved then, navigating Eva's" | | 18 | "He stopped at the window," | | 19 | "She had spent twelve weeks" |
| | ratio | 0.455 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 99 | | matches | | 0 | "The third deadbolt surrendered with" | | 1 | "Rory pulled the door open." | | 2 | "Lucien Moreau filled the frame." | | 3 | "Rain had turned the stairwell" | | 4 | "His charcoal suit remained immaculate," | | 5 | "Platinum hair, slicked back, exposed" | | 6 | "He leaned on his ivory-handled" | | 7 | "Water dripped from the brim" | | 8 | "Rory's fingers twitched against the" | | 9 | "She knew because she'd stopped" | | 10 | "Her bright blue eyes narrowed." | | 11 | "She made to close the" | | 12 | "His cane shot forward, the" | | 13 | "The amber eye held hers" | | 14 | "The black one looked past" | | 15 | "Ptolemy, Eva's tabby, had launched" | | 16 | "The cat froze, one paw" | | 17 | "Rory didn't turn." | | 18 | "She kept her hand on" | | 19 | "Lucien's gaze dropped to her" |
| | ratio | 0.98 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 99 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 3 | | matches | | 0 | "Lucien's voice dropped to a register that vibrated in her ribs." | | 1 | "She had catalogued his disappearances—half-demon, information broker, a man who dealt in secrets the way she dealt in spring rolls." | | 2 | "She shoved her black hair behind one ear, fixing him with a stare that had intimidated delivery boys and solicitors alike." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 1 | | matches | | 0 | "He stayed, rainwater pooling beneath his shoes" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |