| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory laughed once [once]" |
| | dialogueSentences | 45 | | tagDensity | 0.422 | | leniency | 0.844 | | rawRatio | 0.053 | | effectiveRatio | 0.044 | |
| 97.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1878 | | 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) | |
| 60.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1878 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "silk" | | 1 | "silence" | | 2 | "weight" | | 3 | "whisper" | | 4 | "desire" | | 5 | "pulse" | | 6 | "tracing" | | 7 | "fluttered" | | 8 | "vibrated" |
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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 | 147 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 147 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 173 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1878 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 1494 | | uniqueNames | 18 | | maxNameDensity | 0.67 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 9 | | Lucien | 10 | | Moreau | 1 | | Ptolemy | 3 | | Eva | 2 | | Brick | 1 | | Lane | 1 | | Latin | 2 | | Avari | 1 | | Thames | 1 | | Full | 1 | | French | 2 | | Voice | 1 | | Avaros | 2 | | Cantonese | 1 | | Words | 1 | | Marseille | 2 | | One | 3 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Ptolemy" | | 4 | "Eva" | | 5 | "Latin" | | 6 | "Words" | | 7 | "One" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Thames" | | 3 | "Cantonese" | | 4 | "Marseille" |
| | globalScore | 1 | | windowScore | 1 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 96 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a noose" | | 1 | "seemed large enough for two people who could keep their hands to themselves" |
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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 | 1878 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 173 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 64 | | mean | 29.34 | | std | 26.44 | | cv | 0.901 | | sampleLengths | | 0 | 35 | | 1 | 21 | | 2 | 1 | | 3 | 52 | | 4 | 16 | | 5 | 38 | | 6 | 21 | | 7 | 2 | | 8 | 1 | | 9 | 95 | | 10 | 52 | | 11 | 5 | | 12 | 9 | | 13 | 16 | | 14 | 12 | | 15 | 60 | | 16 | 77 | | 17 | 34 | | 18 | 30 | | 19 | 65 | | 20 | 23 | | 21 | 1 | | 22 | 37 | | 23 | 22 | | 24 | 10 | | 25 | 31 | | 26 | 24 | | 27 | 43 | | 28 | 3 | | 29 | 33 | | 30 | 53 | | 31 | 47 | | 32 | 16 | | 33 | 43 | | 34 | 69 | | 35 | 27 | | 36 | 54 | | 37 | 19 | | 38 | 18 | | 39 | 2 | | 40 | 130 | | 41 | 9 | | 42 | 1 | | 43 | 14 | | 44 | 24 | | 45 | 92 | | 46 | 55 | | 47 | 7 | | 48 | 60 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 147 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 252 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 173 | | ratio | 0.012 | | matches | | 0 | "A half-drunk mug of milky tea sat abandoned on a stack of Latin treatises; the ring it left looked like a noose." | | 1 | "A heavy Latin folio clipped Lucien's shoulder; he barely flinched." |
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| 94.94% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1507 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 69 | | adverbRatio | 0.0457863304578633 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0053085600530856005 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 173 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 173 | | mean | 10.86 | | std | 8.62 | | cv | 0.794 | | sampleLengths | | 0 | 24 | | 1 | 11 | | 2 | 4 | | 3 | 17 | | 4 | 1 | | 5 | 19 | | 6 | 8 | | 7 | 11 | | 8 | 9 | | 9 | 5 | | 10 | 10 | | 11 | 6 | | 12 | 33 | | 13 | 5 | | 14 | 6 | | 15 | 15 | | 16 | 2 | | 17 | 1 | | 18 | 6 | | 19 | 12 | | 20 | 31 | | 21 | 18 | | 22 | 6 | | 23 | 22 | | 24 | 9 | | 25 | 17 | | 26 | 12 | | 27 | 14 | | 28 | 5 | | 29 | 9 | | 30 | 6 | | 31 | 10 | | 32 | 6 | | 33 | 6 | | 34 | 31 | | 35 | 20 | | 36 | 9 | | 37 | 13 | | 38 | 8 | | 39 | 9 | | 40 | 28 | | 41 | 12 | | 42 | 3 | | 43 | 4 | | 44 | 34 | | 45 | 5 | | 46 | 25 | | 47 | 11 | | 48 | 12 | | 49 | 42 |
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| 73.99% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4682080924855491 | | totalSentences | 173 | | uniqueOpeners | 81 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 127 | | matches | | 0 | "Instead her shoulder hit cold" | | 1 | "Even the cat knew better." | | 2 | "Instead his hand came up." | | 3 | "Somewhere downstairs a pot clanged," | | 4 | "Just enough to promise how" | | 5 | "Only ground down again, harder," | | 6 | "Suddenly Lucien stilled." |
| | ratio | 0.055 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 127 | | matches | | 0 | "He didn't step back." | | 1 | "Her free hand stayed clenched" | | 2 | "She started to shove" | | 3 | "His boot scraped the threshold" | | 4 | "He stepped fully inside without" | | 5 | "His platinum hair stayed slicked" | | 6 | "He shrugged out of the" | | 7 | "She'd crawled out sputtering, lungs" | | 8 | "He hadn't rung." | | 9 | "She hadn't gone looking." | | 10 | "Her pulse hammered once, twice," | | 11 | "His jaw flexed." | | 12 | "She stepped forward, needing the" | | 13 | "He didn't retreat." | | 14 | "She smelt cologne and the" | | 15 | "Her body stayed put." | | 16 | "His free hand slid into" | | 17 | "He leaned until his mouth" | | 18 | "Her hand had found his" | | 19 | "They stared at the useless" |
| | ratio | 0.299 | |
| 82.05% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 127 | | matches | | 0 | "The third deadbolt snicked free" | | 1 | "He didn't step back." | | 2 | "The ivory handle of his" | | 3 | "The name landed soft, too" | | 4 | "Her free hand stayed clenched" | | 5 | "The curry house downstairs belched" | | 6 | "She started to shove" | | 7 | "His boot scraped the threshold" | | 8 | "Lucien's heterochromatic gaze slid past" | | 9 | "Rory laughed once, harsh" | | 10 | "He stepped fully inside without" | | 11 | "The door swung shut behind" | | 12 | "Rory felt the flat compress" | | 13 | "Dust motes danced in the" | | 14 | "A half-drunk mug of milky" | | 15 | "Lucien set his cane against" | | 16 | "The charcoal suit clung in" | | 17 | "His platinum hair stayed slicked" | | 18 | "The corner of his mouth" | | 19 | "The word came out quick" |
| | ratio | 0.756 | |
| 78.74% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 127 | | matches | | 0 | "Now he stood surrounded by" | | 1 | "Whoever it was had keys." |
| | ratio | 0.016 | |
| 82.32% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 59 | | technicalSentenceCount | 5 | | matches | | 0 | "Rory felt the flat compress around them: two bodies and too much history jammed between a kettle that never quite boiled and shelves that bowed under the weight…" | | 1 | "Dust motes danced in the single shaft of meagre light from the dirty window that faced Brick Lane." | | 2 | "Now he stood surrounded by Eva's research notes and the faint tang of dried ink, and every unfinished sentence from that night crowded the air between them like…" | | 3 | "Tonight it shrivelled, books pressing in from every side, trinkets rattling as if the whole place breathed with them." | | 4 | "They stared at the useless bit of mother-of-pearl that rolled beneath a tottering tower of scrolls and vanished." |
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| 98.68% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 1 | | matches | | 0 | "Rory laughed once, harsh" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "Rory laughed once (laugh)" | | 1 | "he murmured (murmur)" |
| | dialogueSentences | 45 | | tagDensity | 0.089 | | leniency | 0.178 | | rawRatio | 0.5 | | effectiveRatio | 0.089 | |