| 4.88% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 4 | | adverbTags | | 0 | "The word tasted like [like]" | | 1 | "He moved further [further]" | | 2 | "I’d deliberately [deliberately]" | | 3 | "he observed dryly [dryly]" |
| | dialogueSentences | 41 | | tagDensity | 0.39 | | leniency | 0.78 | | rawRatio | 0.25 | | effectiveRatio | 0.195 | |
| 74.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1185 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "deliberately" | | count | 1 |
| | 4 | | | 5 | |
| | highlights | | 0 | "very" | | 1 | "perfectly" | | 2 | "carefully" | | 3 | "deliberately" | | 4 | "precisely" | | 5 | "lightly" |
| |
| 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) | |
| 45.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1185 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "porcelain" | | 1 | "pounding" | | 2 | "constructed" | | 3 | "reminder" | | 4 | "flicked" | | 5 | "predator" | | 6 | "stomach" | | 7 | "eyebrow" | | 8 | "weight" | | 9 | "ensure" | | 10 | "navigating" | | 11 | "familiar" | | 12 | "unreadable" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "clenched jaw/fists" | | count | 1 |
| | 2 | | label | "weight of words/silence" | | count | 1 |
|
| | highlights | | 0 | "blood ran cold" | | 1 | "clenched my fists" | | 2 | "the weight of his words" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 81 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 81 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 10 | | totalWords | 1176 | | ratio | 0.009 | | matches | | 0 | "him" | | 1 | "becomes" | | 2 | "She should have known better than to look." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 749 | | uniqueNames | 13 | | maxNameDensity | 0.8 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Grey | 1 | | Eva | 2 | | Ptolemy | 5 | | Moreau | 2 | | Brick | 1 | | Lane | 1 | | One | 1 | | Disapproval | 1 | | Avaros | 2 | | Lucien | 6 | | Seven | 1 | | Dials | 1 | | Bellweather | 1 |
| | persons | | 0 | "Grey" | | 1 | "Eva" | | 2 | "Ptolemy" | | 3 | "Moreau" | | 4 | "One" | | 5 | "Lucien" | | 6 | "Bellweather" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 11.11% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 3 | | matches | | 0 | "tasted like ash in my mouth" | | 1 | "quite decipher" | | 2 | "as if plotting revenge" |
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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 | 1176 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 105 | | matches | | 0 | "knew that rhythm" | | 1 | "chose that moment" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 25.02 | | std | 14.85 | | cv | 0.594 | | sampleLengths | | 0 | 55 | | 1 | 4 | | 2 | 37 | | 3 | 53 | | 4 | 4 | | 5 | 66 | | 6 | 29 | | 7 | 9 | | 8 | 44 | | 9 | 21 | | 10 | 4 | | 11 | 17 | | 12 | 3 | | 13 | 53 | | 14 | 21 | | 15 | 10 | | 16 | 28 | | 17 | 33 | | 18 | 32 | | 19 | 20 | | 20 | 30 | | 21 | 37 | | 22 | 26 | | 23 | 17 | | 24 | 26 | | 25 | 12 | | 26 | 18 | | 27 | 36 | | 28 | 10 | | 29 | 13 | | 30 | 5 | | 31 | 25 | | 32 | 30 | | 33 | 11 | | 34 | 47 | | 35 | 25 | | 36 | 29 | | 37 | 33 | | 38 | 10 | | 39 | 15 | | 40 | 41 | | 41 | 21 | | 42 | 23 | | 43 | 35 | | 44 | 20 | | 45 | 30 | | 46 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 140 | | matches | | 0 | "was jarring, was trying" |
| |
| 61.22% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 105 | | ratio | 0.029 | | matches | | 0 | "I’d been cataloging Eva’s scrolls—a mess of arcane symbols and half-translated texts—when the insistent rapping started." | | 1 | "The scent of his cologne—sandalwood and something darker, something that always reminded me of storm clouds—filled the small space." | | 2 | "The photograph stared back at me—a woman with bright, inquisitive eyes and a nervous smile." |
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| 92.55% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 757 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.04491413474240423 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.023778071334214 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 11.2 | | std | 6.82 | | cv | 0.608 | | sampleLengths | | 0 | 8 | | 1 | 5 | | 2 | 5 | | 3 | 16 | | 4 | 4 | | 5 | 17 | | 6 | 4 | | 7 | 6 | | 8 | 17 | | 9 | 14 | | 10 | 13 | | 11 | 14 | | 12 | 13 | | 13 | 13 | | 14 | 4 | | 15 | 11 | | 16 | 4 | | 17 | 3 | | 18 | 6 | | 19 | 3 | | 20 | 6 | | 21 | 33 | | 22 | 10 | | 23 | 9 | | 24 | 10 | | 25 | 9 | | 26 | 6 | | 27 | 19 | | 28 | 19 | | 29 | 17 | | 30 | 1 | | 31 | 1 | | 32 | 2 | | 33 | 4 | | 34 | 11 | | 35 | 6 | | 36 | 3 | | 37 | 20 | | 38 | 17 | | 39 | 16 | | 40 | 12 | | 41 | 9 | | 42 | 10 | | 43 | 13 | | 44 | 15 | | 45 | 13 | | 46 | 20 | | 47 | 15 | | 48 | 17 | | 49 | 20 |
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| 76.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.47619047619047616 | | totalSentences | 105 | | uniqueOpeners | 50 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 74 | | matches | | 0 | "Still radiated an expensive, dangerous" | | 1 | "Too many ghosts lingered there." | | 2 | "More than just finding a" |
| | ratio | 0.041 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 74 | | matches | | 0 | "I’d been cataloging Eva’s scrolls—a" | | 1 | "I knew that rhythm." | | 2 | "He wasn't a fan of" | | 3 | "I muttered, placing the mug" | | 4 | "I smoothed down my jeans," | | 5 | "I opened the door." | | 6 | "He hadn't changed." | | 7 | "he said, his voice a" | | 8 | "He didn’t ask to come" | | 9 | "He simply stepped across the" | | 10 | "he commented, glancing around the" | | 11 | "He finally met my gaze," | | 12 | "He moved further into the" | | 13 | "He stopped by the desk," | | 14 | "I folded my arms, trying" | | 15 | "It had been nearly a" | | 16 | "He tilted his head, a" | | 17 | "I cursed under my breath." | | 18 | "He had a long memory," | | 19 | "He turned to face me" |
| | ratio | 0.554 | |
| 54.59% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 74 | | matches | | 0 | "The chipped porcelain felt cool" | | 1 | "Earl Grey, strong, two sugars." | | 2 | "A pathetic attempt at calm." | | 3 | "I’d been cataloging Eva’s scrolls—a" | | 4 | "I knew that rhythm." | | 5 | "Another three raps, louder this" | | 6 | "Ptolemy, Eva’s tabby, lifted his" | | 7 | "He wasn't a fan of" | | 8 | "I muttered, placing the mug" | | 9 | "The flat smelled of dust," | | 10 | "I smoothed down my jeans," | | 11 | "Whatever he wanted, I wasn’t" | | 12 | "I opened the door." | | 13 | "Lucien Moreau filled the doorway," | | 14 | "Charcoal suit, perfectly tailored." | | 15 | "He hadn't changed." | | 16 | "The disparity between his polished" | | 17 | "he said, his voice a" | | 18 | "The other, black as pitch," | | 19 | "The word tasted like ash" |
| | ratio | 0.811 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 93.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 2 | | matches | | 0 | "He turned and left, leaving the scent of sandalwood and storm clouds lingering in the air, and Ptolemy glaring after him as if plotting revenge." | | 1 | "And Lucien Moreau, back in my life, stirring up trouble like a particularly charming devil." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, his voice a low, carefully modulated rumble" | | 1 | "He turned, his gaze intense" | | 2 | "I whispered, my voice barely audible" | | 3 | "He paused, his hand resting on the handle" |
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| 28.05% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 5 | | fancyTags | | 0 | "I muttered (mutter)" | | 1 | "he commented (comment)" | | 2 | "I whispered (whisper)" | | 3 | "he observed dryly (observe)" | | 4 | "I snapped (snap)" |
| | dialogueSentences | 41 | | tagDensity | 0.146 | | leniency | 0.293 | | rawRatio | 0.833 | | effectiveRatio | 0.244 | |