| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.83% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1577 | | 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) | |
| 46.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1577 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "perfect" | | 1 | "pulse" | | 2 | "fractured" | | 3 | "navigated" | | 4 | "weight" | | 5 | "stomach" | | 6 | "silence" | | 7 | "electric" | | 8 | "tension" | | 9 | "tracing" | | 10 | "footsteps" | | 11 | "trembled" | | 12 | "otherworldly" | | 13 | "whisper" |
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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 | 1 | | narrationSentences | 171 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 171 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 171 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1577 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 8 | | matches | | 0 | "Rory, he said." | | 1 | "You are at the wrong address, she said, keeping her tone flat." | | 2 | "You changed your number, he said." | | 3 | "I did not walk away from you, he said quietly." | | 4 | "You could have said that, she whispered." | | 5 | "I hated you, she said." | | 6 | "Stay, he murmured against her mouth." | | 7 | "I am not going anywhere, she said." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1565 | | uniqueNames | 14 | | maxNameDensity | 0.51 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 2 | | Moreau | 1 | | London | 3 | | Southwark | 1 | | Golden | 1 | | Empress | 1 | | Apparently | 1 | | French | 1 | | Cardiff | 2 | | Evan | 3 | | Lucien | 8 | | Rory | 8 | | You | 5 | | Ptolemy | 3 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Empress" | | 3 | "Evan" | | 4 | "Lucien" | | 5 | "Rory" | | 6 | "You" | | 7 | "Ptolemy" |
| | places | | 0 | "London" | | 1 | "Southwark" | | 2 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 58.26% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 109 | | glossingSentenceCount | 4 | | matches | | 0 | "Apparently, her body had not r" | | 1 | "smelled like winter and expensive soap and" | | 2 | "smelled like him" | | 3 | "looked like fractured glass catching sunl" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1577 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 171 | | matches | | 0 | "torn that room" | | 1 | "said that, she" | | 2 | "hated that she" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 56.32 | | std | 37.83 | | cv | 0.672 | | sampleLengths | | 0 | 120 | | 1 | 108 | | 2 | 38 | | 3 | 57 | | 4 | 18 | | 5 | 136 | | 6 | 30 | | 7 | 22 | | 8 | 2 | | 9 | 67 | | 10 | 80 | | 11 | 57 | | 12 | 23 | | 13 | 129 | | 14 | 10 | | 15 | 66 | | 16 | 64 | | 17 | 78 | | 18 | 97 | | 19 | 21 | | 20 | 80 | | 21 | 11 | | 22 | 48 | | 23 | 41 | | 24 | 98 | | 25 | 27 | | 26 | 31 | | 27 | 18 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 171 | | matches | | 0 | "was slicked" | | 1 | "being ignored" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 291 | | matches | | 0 | "was singing" | | 1 | "were handling" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 171 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 203 | | adjectiveStacks | 1 | | stackExamples | | 0 | "faint, ozone-sharp trace" |
| | adverbCount | 4 | | adverbRatio | 0.019704433497536946 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 171 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 171 | | mean | 9.22 | | std | 6.66 | | cv | 0.722 | | sampleLengths | | 0 | 10 | | 1 | 17 | | 2 | 25 | | 3 | 20 | | 4 | 18 | | 5 | 9 | | 6 | 5 | | 7 | 16 | | 8 | 7 | | 9 | 14 | | 10 | 8 | | 11 | 26 | | 12 | 13 | | 13 | 26 | | 14 | 8 | | 15 | 6 | | 16 | 3 | | 17 | 17 | | 18 | 7 | | 19 | 5 | | 20 | 2 | | 21 | 4 | | 22 | 12 | | 23 | 1 | | 24 | 4 | | 25 | 31 | | 26 | 3 | | 27 | 6 | | 28 | 2 | | 29 | 12 | | 30 | 4 | | 31 | 15 | | 32 | 19 | | 33 | 5 | | 34 | 4 | | 35 | 10 | | 36 | 15 | | 37 | 15 | | 38 | 7 | | 39 | 7 | | 40 | 39 | | 41 | 11 | | 42 | 8 | | 43 | 5 | | 44 | 6 | | 45 | 6 | | 46 | 11 | | 47 | 5 | | 48 | 2 | | 49 | 3 |
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| 39.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.30409356725146197 | | totalSentences | 171 | | uniqueOpeners | 52 | |
| 42.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 157 | | matches | | 0 | "Apparently, her body had not" | | 1 | "Always leaving the choice." |
| | ratio | 0.013 | |
| 34.01% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 73 | | totalSentences | 157 | | matches | | 0 | "His platinum hair was slicked" | | 1 | "She had not seen him" | | 2 | "She had told herself she" | | 3 | "She had taken a delivery" | | 4 | "Her breath hitched, traitorous and" | | 5 | "His voice was low, the" | | 6 | "He did not move to" | | 7 | "He never did without invitation." | | 8 | "You are at the wrong" | | 9 | "She could do cool-headed." | | 10 | "It was what kept her" | | 11 | "I am just watching the" | | 12 | "His gaze dropped to her" | | 13 | "He did not need it" | | 14 | "She knew exactly what lived" | | 15 | "She also knew the precise" | | 16 | "He stopped beside the window," | | 17 | "You changed your number, he" | | 18 | "I changed a lot of" | | 19 | "She crossed her arms, felt" |
| | ratio | 0.465 | |
| 74.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 121 | | totalSentences | 157 | | matches | | 0 | "The third deadbolt slid back" | | 1 | "Rory pulled the door open," | | 2 | "The narrow stairwell smelled of" | | 3 | "Bergamot, cold rain, and the" | | 4 | "Lucien Moreau filled the doorframe," | | 5 | "His platinum hair was slicked" | | 6 | "Both locked on her face" | | 7 | "Rory's fingers tightened on the" | | 8 | "The small crescent scar on" | | 9 | "She had not seen him" | | 10 | "She had told herself she" | | 11 | "She had taken a delivery" | | 12 | "Her breath hitched, traitorous and" | | 13 | "Rory, he said." | | 14 | "His voice was low, the" | | 15 | "He did not move to" | | 16 | "He never did without invitation." | | 17 | "You are at the wrong" | | 18 | "She could do cool-headed." | | 19 | "It was what kept her" |
| | ratio | 0.771 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 6 | | totalSentences | 157 | | matches | | 0 | "If I had stayed, I" | | 1 | "To press her palm flat" | | 2 | "Because I found the man" | | 3 | "Because every night I closed" | | 4 | "Because I told myself distance" | | 5 | "Just as someone who has" |
| | ratio | 0.038 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 4 | | matches | | 0 | "She also knew the precise weight of it in his grip, the way he had once pressed it against her hip to steer her through a crowded market, the casual possession …" | | 1 | "But it was there, raw and pulsing, wrapped around the memory of his back retreating into the fog, his voice telling her it was safer this way." | | 2 | "His mouth met hers with a careful hunger, as if he were handling something precious and long broken." | | 3 | "But it shifted, making room for something warmer, something that had been waiting in the dark for months to be let back in." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |