| 33.33% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 4 | | adverbTags | | 0 | "I stepped back [back]" | | 1 | "It smelled like [like]" | | 2 | "It felt like [like]" | | 3 | "he said softly [softly]" |
| | dialogueSentences | 48 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.222 | | effectiveRatio | 0.167 | |
| 79.64% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1228 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "precisely" | | 1 | "very" | | 2 | "suddenly" | | 3 | "softly" |
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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) | |
| 67.43% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1228 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "weight" | | 1 | "calculating" | | 2 | "silence" | | 3 | "footsteps" | | 4 | "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 | 0 | | narrationSentences | 46 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 46 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 58 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 4 | | totalWords | 1228 | | ratio | 0.003 | | matches | | 0 | "there you are" | | 1 | "handle" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 24 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 618 | | uniqueNames | 5 | | maxNameDensity | 0.65 | | worstName | "Ptolemy" | | maxWindowNameDensity | 1 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 3 | | Moreau | 1 | | Ptolemy | 4 | | Eva | 2 | | Three | 2 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Ptolemy" | | 3 | "Eva" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 7.14% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 35 | | glossingSentenceCount | 2 | | matches | | 0 | "smelled like every night I'd spent on the" | | 1 | "felt like the night I'd first seen him" |
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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 | 1228 | | matches | (empty) | |
| 81.20% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 78 | | matches | | 0 | "hated that I noticed, that my" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 28.56 | | std | 25.44 | | cv | 0.891 | | sampleLengths | | 0 | 28 | | 1 | 13 | | 2 | 6 | | 3 | 49 | | 4 | 2 | | 5 | 25 | | 6 | 77 | | 7 | 5 | | 8 | 46 | | 9 | 9 | | 10 | 4 | | 11 | 67 | | 12 | 18 | | 13 | 9 | | 14 | 5 | | 15 | 30 | | 16 | 85 | | 17 | 19 | | 18 | 65 | | 19 | 14 | | 20 | 74 | | 21 | 15 | | 22 | 6 | | 23 | 74 | | 24 | 45 | | 25 | 63 | | 26 | 11 | | 27 | 2 | | 28 | 58 | | 29 | 8 | | 30 | 22 | | 31 | 21 | | 32 | 27 | | 33 | 79 | | 34 | 1 | | 35 | 1 | | 36 | 43 | | 37 | 14 | | 38 | 5 | | 39 | 30 | | 40 | 9 | | 41 | 32 | | 42 | 12 |
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| 82.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 46 | | matches | | 0 | "was, padded" | | 1 | "was supposed" | | 2 | "been opened" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 110 | | matches | (empty) | |
| 69.60% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 78 | | ratio | 0.026 | | matches | | 0 | "One amber eye caught the light from Ptolemy's window perch; the black one caught nothing at all." | | 1 | "He never touched without permission; it was the single decent rule he'd never broken." |
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| 98.27% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 667 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.041979010494752625 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.008995502248875561 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 15.74 | | std | 13.49 | | cv | 0.857 | | sampleLengths | | 0 | 28 | | 1 | 9 | | 2 | 4 | | 3 | 6 | | 4 | 29 | | 5 | 3 | | 6 | 17 | | 7 | 2 | | 8 | 13 | | 9 | 12 | | 10 | 34 | | 11 | 25 | | 12 | 18 | | 13 | 5 | | 14 | 41 | | 15 | 5 | | 16 | 9 | | 17 | 4 | | 18 | 23 | | 19 | 17 | | 20 | 27 | | 21 | 8 | | 22 | 3 | | 23 | 7 | | 24 | 9 | | 25 | 5 | | 26 | 9 | | 27 | 21 | | 28 | 3 | | 29 | 39 | | 30 | 6 | | 31 | 37 | | 32 | 19 | | 33 | 37 | | 34 | 28 | | 35 | 14 | | 36 | 45 | | 37 | 29 | | 38 | 15 | | 39 | 6 | | 40 | 4 | | 41 | 24 | | 42 | 2 | | 43 | 44 | | 44 | 41 | | 45 | 4 | | 46 | 15 | | 47 | 48 | | 48 | 3 | | 49 | 8 |
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| 63.25% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.44871794871794873 | | totalSentences | 78 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 44 | | matches | | 0 | "Maybe he had." | | 1 | "Somewhere below us, the curry" |
| | ratio | 0.045 | |
| 10.91% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 44 | | matches | | 0 | "His voice slid through the" | | 1 | "I stepped back, giving him" | | 2 | "He crossed the threshold without" | | 3 | "He lowered himself onto Eva's" | | 4 | "I kept the kitchen table" | | 5 | "His fingers tightened on the" | | 6 | "He was too good for" | | 7 | "It didn't feel like safety" | | 8 | "It smelled like every night" | | 9 | "He rose from the chair," | | 10 | "He moved toward the window," | | 11 | "I hadn't wanted to." | | 12 | "I'd wanted to leave him" | | 13 | "It felt like the night" | | 14 | "I pulled the kettle from" | | 15 | "He watched me fill the" | | 16 | "I caught it, knuckles white" | | 17 | "he crossed the narrow room" | | 18 | "His hand rose, hovered near" | | 19 | "He didn't touch." |
| | ratio | 0.523 | |
| 16.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 39 | | totalSentences | 44 | | matches | | 0 | "The third deadbolt gave with" | | 1 | "His voice slid through the" | | 2 | "Lucien Moreau filled my doorway" | | 3 | "I stepped back, giving him" | | 4 | "He crossed the threshold without" | | 5 | "The flat swallowed him whole," | | 6 | "Ptolemy hissed from his perch," | | 7 | "He lowered himself onto Eva's" | | 8 | "I kept the kitchen table" | | 9 | "His fingers tightened on the" | | 10 | "A small movement." | | 11 | "He was too good for" | | 12 | "The word dropped between us," | | 13 | "The radiator clanked." | | 14 | "It didn't feel like safety" | | 15 | "It smelled like every night" | | 16 | "He rose from the chair," | | 17 | "He moved toward the window," | | 18 | "I hadn't wanted to." | | 19 | "I'd wanted to leave him" |
| | ratio | 0.886 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 12 | | technicalSentenceCount | 2 | | matches | | 0 | "Lucien Moreau filled my doorway in a charcoal suit worth more than my yearly rent, ivory cane resting against the frame as though he'd been standing there for h…" | | 1 | "Somewhere below us, the curry house vented cumin and charred onion into the night, the smell seeping up through the floorboards the way it always did, the smell…" |
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| 97.22% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 1 | | matches | | 0 | "He watched, water drumming against tin" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 48 | | tagDensity | 0.042 | | leniency | 0.083 | | rawRatio | 0.5 | | effectiveRatio | 0.042 | |