| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 48 | | tagDensity | 0.292 | | leniency | 0.583 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1367 | | totalAiIsmAdverbs | 2 | | 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) | |
| 78.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1367 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "gleaming" | | 1 | "tangible" | | 2 | "flickered" | | 3 | "pulse" | | 4 | "perfect" | | 5 | "silence" |
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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 | 95 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 95 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 127 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1357 | | 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 | 36 | | wordCount | 1056 | | uniqueNames | 15 | | maxNameDensity | 0.95 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 6 | | Golden | 1 | | Empress | 1 | | Moreau | 3 | | Brick | 1 | | Lane | 1 | | August | 1 | | Marseille | 1 | | Shoreditch | 1 | | Lucien | 10 | | Ptolemy | 3 | | Evan | 1 | | London | 1 | | Whitechapel | 1 | | Three | 4 |
| | persons | | 0 | "Rory" | | 1 | "Empress" | | 2 | "Moreau" | | 3 | "Lucien" | | 4 | "Ptolemy" | | 5 | "Evan" |
| | places | | 0 | "Golden" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "Marseille" | | 4 | "Shoreditch" | | 5 | "London" | | 6 | "Whitechapel" |
| | globalScore | 1 | | windowScore | 1 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 2 | | matches | | 0 | "quite human" | | 1 | "felt like cutting off a piece of hersel" |
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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 | 1357 | | matches | (empty) | |
| 61.68% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 4 | | totalSentences | 127 | | matches | | 0 | "made that mistake" | | 1 | "remembering that Lucien" | | 2 | "was that she" | | 3 | "was that Lucien" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 23.4 | | std | 21.05 | | cv | 0.9 | | sampleLengths | | 0 | 57 | | 1 | 13 | | 2 | 3 | | 3 | 6 | | 4 | 69 | | 5 | 14 | | 6 | 1 | | 7 | 25 | | 8 | 70 | | 9 | 12 | | 10 | 58 | | 11 | 79 | | 12 | 29 | | 13 | 20 | | 14 | 5 | | 15 | 4 | | 16 | 3 | | 17 | 16 | | 18 | 32 | | 19 | 6 | | 20 | 43 | | 21 | 7 | | 22 | 6 | | 23 | 1 | | 24 | 54 | | 25 | 28 | | 26 | 15 | | 27 | 7 | | 28 | 1 | | 29 | 42 | | 30 | 17 | | 31 | 14 | | 32 | 28 | | 33 | 7 | | 34 | 3 | | 35 | 71 | | 36 | 48 | | 37 | 29 | | 38 | 41 | | 39 | 2 | | 40 | 20 | | 41 | 13 | | 42 | 29 | | 43 | 16 | | 44 | 9 | | 45 | 31 | | 46 | 6 | | 47 | 15 | | 48 | 40 | | 49 | 16 |
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| 97.88% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 95 | | matches | | 0 | "been carved" | | 1 | "were clasped" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 173 | | matches | | 0 | "weren't saying" | | 1 | "was looking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 127 | | ratio | 0.071 | | matches | | 0 | "Her name in his mouth was exactly as she remembered—low, vowels shaped by Marseille, consonants clipped precise." | | 1 | "Three weeks since she'd told him she was done—done with his secrets, done with being useful, done with whatever this thing between them was that could never be named." | | 2 | "Not too close—Lucien never made that mistake, never crowded her, never gave her something tangible to push against." | | 3 | "A small tell, barely perceptible, but she'd learned to read the micro-movements of his face the way scholars read dead languages—obsessively, desperately, against her own will." | | 4 | "Lucien's gaze dropped—to her mouth, she realized with a jolt, then lower, to the crescent scar visible above her wrist where her sleeve had ridden up." | | 5 | "\"Three days ago. I only learned of it this morning.\" He reached inside his jacket, and she tensed before remembering that Lucien didn't carry conventional weapons—only the blade hidden in his cane." | | 6 | "Just one step, but it halved the distance between them and she could smell him now—sandalwood and something darker beneath, something that wasn't quite human." | | 7 | "A sound escaped her—half laugh, half something else." | | 8 | "No triumph, no relief—just acceptance, as if he'd expected nothing more and would have taken less." |
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| 91.38% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1070 | | adjectiveStacks | 1 | | stackExamples | | 0 | "growing damp against her" |
| | adverbCount | 46 | | adverbRatio | 0.04299065420560748 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.011214953271028037 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 127 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 127 | | mean | 10.69 | | std | 8.26 | | cv | 0.773 | | sampleLengths | | 0 | 19 | | 1 | 14 | | 2 | 24 | | 3 | 13 | | 4 | 3 | | 5 | 6 | | 6 | 23 | | 7 | 7 | | 8 | 7 | | 9 | 32 | | 10 | 8 | | 11 | 6 | | 12 | 1 | | 13 | 17 | | 14 | 8 | | 15 | 3 | | 16 | 11 | | 17 | 11 | | 18 | 2 | | 19 | 14 | | 20 | 29 | | 21 | 12 | | 22 | 13 | | 23 | 18 | | 24 | 19 | | 25 | 8 | | 26 | 10 | | 27 | 30 | | 28 | 6 | | 29 | 2 | | 30 | 12 | | 31 | 19 | | 32 | 3 | | 33 | 26 | | 34 | 7 | | 35 | 13 | | 36 | 5 | | 37 | 4 | | 38 | 3 | | 39 | 15 | | 40 | 1 | | 41 | 5 | | 42 | 14 | | 43 | 13 | | 44 | 6 | | 45 | 26 | | 46 | 11 | | 47 | 6 | | 48 | 7 | | 49 | 6 |
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| 49.34% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.36220472440944884 | | totalSentences | 127 | | uniqueOpeners | 46 | |
| 80.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 83 | | matches | | 0 | "Such an ordinary thing to" | | 1 | "Just one step, but it" |
| | ratio | 0.024 | |
| 60.96% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 83 | | matches | | 0 | "She nudged the tabby aside" | | 1 | "She looked up." | | 2 | "He leaned against the wall" | | 3 | "His ivory-handled cane hung from" | | 4 | "Her name in his mouth" | | 5 | "It landed somewhere beneath her" | | 6 | "She didn't move." | | 7 | "Her voice came out steadier" | | 8 | "He straightened from the wall," | | 9 | "It was the careful distance" | | 10 | "She should shut the door" | | 11 | "She should turn around, lock" | | 12 | "His jaw tightened." | | 13 | "His voice had gone quieter" | | 14 | "His expression didn't change, but" | | 15 | "He reached inside his jacket," | | 16 | "He produced a creased photograph," | | 17 | "She took it with numb" | | 18 | "Her own face stared back" | | 19 | "She met his mismatched eyes" |
| | ratio | 0.398 | |
| 68.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 83 | | matches | | 0 | "The third deadbolt stuck, as" | | 1 | "Ptolemy wound between her ankles," | | 2 | "She nudged the tabby aside" | | 3 | "She looked up." | | 4 | "Lucien Moreau stood in her" | | 5 | "He leaned against the wall" | | 6 | "Charcoal suit immaculate despite the" | | 7 | "Platinum hair slicked back severe" | | 8 | "His ivory-handled cane hung from" | | 9 | "Her name in his mouth" | | 10 | "It landed somewhere beneath her" | | 11 | "She didn't move." | | 12 | "The paper bag crinkled in" | | 13 | "Her voice came out steadier" | | 14 | "He straightened from the wall," | | 15 | "It was the careful distance" | | 16 | "She should shut the door" | | 17 | "She should turn around, lock" | | 18 | "That's what smart Rory would" | | 19 | "The Rory who'd survived Evan" |
| | ratio | 0.783 | |
| 60.24% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 83 | | matches | | 0 | "As if he'd already decided" |
| | ratio | 0.012 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 4 | | matches | | 0 | "His ivory-handled cane hung from his right wrist by its loop, and his hands were clasped in front of him with the patience of a man who'd waited longer than any…" | | 1 | "It was the careful distance of a man who knew exactly how much space to leave for plausible deniability." | | 2 | "Something that made her chest ache when she thought about it too hard." | | 3 | "Just one step, but it halved the distance between them and she could smell him now—sandalwood and something darker beneath, something that wasn't quite human." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 2 | | matches | | 0 | "He straightened, and the movement brought him closer" | | 1 | "He said, as if he'd been planning this" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | 0 | "he continued (continue)" |
| | dialogueSentences | 48 | | tagDensity | 0.083 | | leniency | 0.167 | | rawRatio | 0.25 | | effectiveRatio | 0.042 | |