| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 51 | | tagDensity | 0.235 | | leniency | 0.471 | | rawRatio | 0.083 | | effectiveRatio | 0.039 | |
| 86.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1107 | | totalAiIsmAdverbs | 3 | | 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) | |
| 81.93% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1107 | | totalAiIsms | 4 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "practiced ease" | | count | 1 |
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| | highlights | | 0 | "flicked" | | 1 | "stomach" | | 2 | "weight" | | 3 | "practiced ease" |
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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 | 40 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 40 | | 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 | 61 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1100 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 9 | | wordCount | 661 | | uniqueNames | 5 | | maxNameDensity | 0.45 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 3 | | Moreau | 1 | | Aurora | 1 | | Ptolemy | 3 | | Eva | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Aurora" | | 3 | "Ptolemy" | | 4 | "Eva" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 27 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like an apology he had no intentio" |
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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 | 1100 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 21.15 | | std | 21.35 | | cv | 1.009 | | sampleLengths | | 0 | 34 | | 1 | 14 | | 2 | 23 | | 3 | 1 | | 4 | 2 | | 5 | 72 | | 6 | 9 | | 7 | 3 | | 8 | 43 | | 9 | 4 | | 10 | 8 | | 11 | 1 | | 12 | 45 | | 13 | 5 | | 14 | 62 | | 15 | 3 | | 16 | 4 | | 17 | 2 | | 18 | 15 | | 19 | 43 | | 20 | 4 | | 21 | 63 | | 22 | 3 | | 23 | 8 | | 24 | 37 | | 25 | 46 | | 26 | 4 | | 27 | 9 | | 28 | 34 | | 29 | 7 | | 30 | 66 | | 31 | 26 | | 32 | 8 | | 33 | 4 | | 34 | 28 | | 35 | 6 | | 36 | 1 | | 37 | 2 | | 38 | 73 | | 39 | 7 | | 40 | 6 | | 41 | 48 | | 42 | 63 | | 43 | 25 | | 44 | 5 | | 45 | 21 | | 46 | 36 | | 47 | 7 | | 48 | 13 | | 49 | 15 |
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| 96.49% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 40 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 115 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 78 | | ratio | 0.077 | | matches | | 0 | "The deadbolts gave way one at a time—three sharp clicks—and the door swung inward to reveal Lucien Moreau leaning against the frame as though he'd done nothing more taxing than stroll across the street." | | 1 | "Lucien's gaze flicked past her to the chaos of the flat—books stacked spine-up on every surface, the half-eaten toast abandoned on the arm of the sofa, the lamp she'd never quite gotten to work." | | 2 | "Something moved behind his face—just for a second, the practiced ease slipping, like a stone dropping through still water." | | 3 | "Lucien straightened his cuffs—a tell, she'd learned, the thing he did with his hands when he wanted to look as if his hands weren't a problem." | | 4 | "He laughed—short, surprised, genuine, and she hated that too, because for one stupid moment it pulled the corner of her own mouth before she clamped down on it." | | 5 | "She heard him take a step closer—not the cane, just the soft sound of his shoe on the warped floorboard, the one near the radiator that always gave him away because she'd never told him it was there." |
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| 97.24% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 672 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.043154761904761904 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004464285714285714 | |
| 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 | 14.1 | | std | 13.01 | | cv | 0.923 | | sampleLengths | | 0 | 34 | | 1 | 6 | | 2 | 8 | | 3 | 16 | | 4 | 7 | | 5 | 1 | | 6 | 2 | | 7 | 22 | | 8 | 16 | | 9 | 34 | | 10 | 9 | | 11 | 3 | | 12 | 43 | | 13 | 4 | | 14 | 8 | | 15 | 1 | | 16 | 7 | | 17 | 29 | | 18 | 9 | | 19 | 5 | | 20 | 11 | | 21 | 5 | | 22 | 4 | | 23 | 42 | | 24 | 3 | | 25 | 4 | | 26 | 2 | | 27 | 15 | | 28 | 33 | | 29 | 10 | | 30 | 4 | | 31 | 8 | | 32 | 52 | | 33 | 3 | | 34 | 3 | | 35 | 8 | | 36 | 31 | | 37 | 6 | | 38 | 19 | | 39 | 27 | | 40 | 4 | | 41 | 9 | | 42 | 23 | | 43 | 11 | | 44 | 7 | | 45 | 19 | | 46 | 26 | | 47 | 21 | | 48 | 26 | | 49 | 8 |
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| 56.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3717948717948718 | | totalSentences | 78 | | uniqueOpeners | 29 | |
| 95.24% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 35 | | matches | | | ratio | 0.029 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 35 | | matches | | 0 | "He smiled, and that was" | | 1 | "She hated how he said" | | 2 | "She let go of the" | | 3 | "He came in, cane first," | | 4 | "He didn't wipe his feet." | | 5 | "He set the cane against" | | 6 | "He picked up one of" | | 7 | "He turned to face her" | | 8 | "She crossed her arms" | | 9 | "He bent and scooped up" | | 10 | "He scratched the tabby under" | | 11 | "He set Ptolemy down on" | | 12 | "He laughed—short, surprised, genuine, and" | | 13 | "he said quietly" | | 14 | "She moved past him to" | | 15 | "She didn't turn around." | | 16 | "She heard him take a" | | 17 | "She gripped the edge of" | | 18 | "He stood close enough that" | | 19 | "He held her gaze" |
| | ratio | 0.571 | |
| 2.86% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 32 | | totalSentences | 35 | | matches | | 0 | "The deadbolts gave way one" | | 1 | "Aurora kept her hand on" | | 2 | "The smell of frying cumin" | | 3 | "Lucien's gaze flicked past her" | | 4 | "He smiled, and that was" | | 5 | "She hated how he said" | | 6 | "She let go of the" | | 7 | "He came in, cane first," | | 8 | "He didn't wipe his feet." | | 9 | "He set the cane against" | | 10 | "He picked up one of" | | 11 | "He turned to face her" | | 12 | "The charcoal suit was immaculate," | | 13 | "She crossed her arms" | | 14 | "Something moved behind his face—just" | | 15 | "He bent and scooped up" | | 16 | "He scratched the tabby under" | | 17 | "He set Ptolemy down on" | | 18 | "Lucien straightened his cuffs—a tell," | | 19 | "He laughed—short, surprised, genuine, and" |
| | ratio | 0.914 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 35 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 17 | | technicalSentenceCount | 4 | | matches | | 0 | "The deadbolts gave way one at a time—three sharp clicks—and the door swung inward to reveal Lucien Moreau leaning against the frame as though he'd done nothing …" | | 1 | "He set the cane against the bookcase and turned a slow circle, taking in the research notes pinned to the wall, the scrolls she'd borrowed from Eva and never re…" | | 2 | "He bent and scooped up Ptolemy, who permitted it with the long-suffering dignity of a cat who'd been abandoned by everyone in this room at least once." | | 3 | "Lucien straightened his cuffs—a tell, she'd learned, the thing he did with his hands when he wanted to look as if his hands weren't a problem." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 51 | | tagDensity | 0.098 | | leniency | 0.196 | | rawRatio | 0 | | effectiveRatio | 0 | |