| 66.67% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 3 | | adverbTags | | 0 | "she asked instead [instead]" | | 1 | "he said quietly [quietly]" | | 2 | "she said finally [finally]" |
| | dialogueSentences | 45 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.167 | | effectiveRatio | 0.133 | |
| 88.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1286 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "really" |
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| 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) | |
| 49.46% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1286 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "firmly" | | 1 | "measured" | | 2 | "weight" | | 3 | "pulse" | | 4 | "stomach" | | 5 | "lilt" | | 6 | "effortless" | | 7 | "unspoken" | | 8 | "perfect" | | 9 | "silence" | | 10 | "could feel" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "the air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 82 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 82 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 108 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 13 | | markdownWords | 13 | | totalWords | 1277 | | ratio | 0.01 | | matches | | 0 | "are" | | 1 | "didn’t" | | 2 | "get" | | 3 | "your" | | 4 | "know" | | 5 | "still" | | 6 | "here" | | 7 | "normal" | | 8 | "synced" | | 9 | "real" | | 10 | "me" | | 11 | "Me" | | 12 | "you" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 808 | | uniqueNames | 11 | | maxNameDensity | 0.74 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Brick | 1 | | Lane | 1 | | Ptolemy | 4 | | Eva | 1 | | Yu-Fei | 1 | | French | 1 | | Rory | 6 | | Don | 1 | | Silence | 1 | | Lucien | 2 | | One | 3 |
| | persons | | 0 | "Ptolemy" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Silence" | | 4 | "Lucien" | | 5 | "One" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 43.38% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.566 | | wordCount | 1277 | | matches | | 0 | "Not loud, but precise" | | 1 | "not a letter, but a small, silver locket on a thin chain" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 108 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 24.09 | | std | 18.42 | | cv | 0.764 | | sampleLengths | | 0 | 85 | | 1 | 4 | | 2 | 50 | | 3 | 44 | | 4 | 17 | | 5 | 3 | | 6 | 61 | | 7 | 12 | | 8 | 42 | | 9 | 35 | | 10 | 9 | | 11 | 20 | | 12 | 12 | | 13 | 69 | | 14 | 5 | | 15 | 10 | | 16 | 17 | | 17 | 24 | | 18 | 9 | | 19 | 25 | | 20 | 8 | | 21 | 7 | | 22 | 29 | | 23 | 41 | | 24 | 5 | | 25 | 23 | | 26 | 5 | | 27 | 21 | | 28 | 11 | | 29 | 32 | | 30 | 52 | | 31 | 7 | | 32 | 39 | | 33 | 41 | | 34 | 31 | | 35 | 15 | | 36 | 14 | | 37 | 27 | | 38 | 9 | | 39 | 34 | | 40 | 16 | | 41 | 40 | | 42 | 11 | | 43 | 27 | | 44 | 40 | | 45 | 7 | | 46 | 58 | | 47 | 9 | | 48 | 12 | | 49 | 11 |
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| 96.71% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 82 | | matches | | 0 | "was slicked" | | 1 | "was written" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 132 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 108 | | ratio | 0.074 | | matches | | 0 | "Rory stood barefoot in her socks, a half-dried mug of tea forgotten in her hand as she stared at the three deadbolts on her front door—each one still clicked firmly into place." | | 1 | "Rory set the mug down, her fingers brushing the small crescent-shaped scar on her left wrist—an old habit when something made her pulse jump." | | 2 | "He entered with that effortless grace—like a shadow learning to walk upright." | | 3 | "He pulled a single envelope from his inner pocket—cream-colored, sealed with red wax stamped with a serpent coiled around a dagger." | | 4 | "\"—Don’t,\" she said, but her voice cracked." | | 5 | "Then, slowly, Lucien reached into his coat again—this time pulling out not a letter, but a small, silver locket on a thin chain." | | 6 | "Rory looked up at him—really looked." | | 7 | "Without thinking, she stepped forward—and kissed him." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 708 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 28 | | adverbRatio | 0.03954802259887006 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.007062146892655367 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 108 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 108 | | mean | 11.82 | | std | 8.84 | | cv | 0.748 | | sampleLengths | | 0 | 23 | | 1 | 30 | | 2 | 32 | | 3 | 4 | | 4 | 4 | | 5 | 9 | | 6 | 13 | | 7 | 9 | | 8 | 15 | | 9 | 24 | | 10 | 14 | | 11 | 2 | | 12 | 2 | | 13 | 2 | | 14 | 17 | | 15 | 3 | | 16 | 20 | | 17 | 22 | | 18 | 9 | | 19 | 10 | | 20 | 12 | | 21 | 6 | | 22 | 4 | | 23 | 14 | | 24 | 14 | | 25 | 4 | | 26 | 3 | | 27 | 23 | | 28 | 9 | | 29 | 9 | | 30 | 6 | | 31 | 14 | | 32 | 3 | | 33 | 9 | | 34 | 12 | | 35 | 8 | | 36 | 15 | | 37 | 34 | | 38 | 5 | | 39 | 10 | | 40 | 17 | | 41 | 10 | | 42 | 14 | | 43 | 3 | | 44 | 6 | | 45 | 9 | | 46 | 16 | | 47 | 8 | | 48 | 2 | | 49 | 5 |
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| 50.31% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.37962962962962965 | | totalSentences | 108 | | uniqueOpeners | 41 | |
| 49.02% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 68 | | matches | | 0 | "Then, slowly, Lucien reached into" |
| | ratio | 0.015 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 68 | | matches | | 0 | "It didn’t belong to Eva," | | 1 | "She crossed the narrow space" | | 2 | "She undid the top deadbolt," | | 3 | "He stood there, water beading" | | 4 | "His platinum-blond hair was slicked" | | 5 | "He tilted his head, just" | | 6 | "he said, voice low, French" | | 7 | "She didn’t move." | | 8 | "she asked instead of answering" | | 9 | "he said, truthful as ever" | | 10 | "Her jaw tightened." | | 11 | "She stepped back, just enough" | | 12 | "He entered with that effortless" | | 13 | "He didn’t ask where to" | | 14 | "He didn’t offer apologies for" | | 15 | "He simply stood in the" | | 16 | "She turned away, busying her" | | 17 | "He didn’t flinch." | | 18 | "She faced him again" | | 19 | "he said quietly" |
| | ratio | 0.559 | |
| 85.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 68 | | matches | | 0 | "The rain had started just" | | 1 | "Rory stood barefoot in her" | | 2 | "It didn’t belong to Eva," | | 3 | "Rory set the mug down," | | 4 | "She crossed the narrow space" | | 5 | "She undid the top deadbolt," | | 6 | "The door opened." | | 7 | "He stood there, water beading" | | 8 | "His platinum-blond hair was slicked" | | 9 | "The other, deep and void-like," | | 10 | "Rory said, the name catching" | | 11 | "He tilted his head, just" | | 12 | "A gesture she remembered." | | 13 | "he said, voice low, French" | | 14 | "She didn’t move." | | 15 | "The cold night air slipped" | | 16 | "Ptolemy meowed, blinking from his" | | 17 | "she asked instead of answering" | | 18 | "he said, truthful as ever" | | 19 | "Her jaw tightened." |
| | ratio | 0.75 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 68 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 3 | | matches | | 0 | "Not Yu-Fei, who’d be yelling about a late delivery." | | 1 | "His platinum-blond hair was slicked back as always, untouched by the rain, as if the droplets knew better than to mar him." | | 2 | "Her hands flew to her neck as if she could feel the violation." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 2 | | matches | | 0 | "Rory said, the name catching in her throat like a splinter" | | 1 | "she said finally, her voice small" |
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| 61.11% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 4 | | fancyTags | | 0 | "he observed (observe)" | | 1 | "she whispered (whisper)" | | 2 | "she snapped (snap)" | | 3 | "she whispered (whisper)" |
| | dialogueSentences | 45 | | tagDensity | 0.289 | | leniency | 0.578 | | rawRatio | 0.308 | | effectiveRatio | 0.178 | |