| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 2 | | adverbTags | | 0 | "Rory said quietly [quietly]" | | 1 | "Lucien said softly [softly]" |
| | dialogueSentences | 46 | | tagDensity | 0.391 | | leniency | 0.783 | | rawRatio | 0.111 | | effectiveRatio | 0.087 | |
| 79.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1464 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | adverb | "deliberately" | | count | 1 |
| | 5 | |
| | highlights | | 0 | "utterly" | | 1 | "suddenly" | | 2 | "precisely" | | 3 | "very" | | 4 | "deliberately" | | 5 | "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) | |
| 82.92% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1464 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "flicker" | | 1 | "weight" | | 2 | "tension" | | 3 | "absolutely" | | 4 | "reminder" |
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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 | 84 | | matches | (empty) | |
| 91.84% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 84 | | filterMatches | | | hedgeMatches | | 0 | "managed to" | | 1 | "seemed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 58 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1455 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.50% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 60 | | wordCount | 1005 | | uniqueNames | 12 | | maxNameDensity | 1.99 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Eva" | | discoveredNames | | East | 1 | | London | 1 | | Lucien | 13 | | Moreau | 1 | | Ptolemy | 3 | | Water | 1 | | Eva | 16 | | Rory | 20 | | Books | 1 | | Cardiff | 1 | | Chelsea | 1 | | Mayfair | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Water" | | 3 | "Eva" | | 4 | "Rory" | | 5 | "Chelsea" |
| | places | | 0 | "East" | | 1 | "London" | | 2 | "Cardiff" |
| | globalScore | 0.505 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 4 | | matches | | 0 | "sounded like truth because it was close en" | | 1 | "smelled like paper and possibility, like t" | | 2 | "smelled like Lucien's cologne—that particu" | | 3 | "tasted like smoke on the back of Rory's t" | | 4 | "ation that had apparently convinced him that" |
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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 | 1455 | | matches | (empty) | |
| 46.55% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 4 | | totalSentences | 111 | | matches | | 0 | "had that quality" | | 1 | "had that effect shifted, that the" | | 2 | "held that mix" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 24.66 | | std | 19.8 | | cv | 0.803 | | sampleLengths | | 0 | 16 | | 1 | 1 | | 2 | 2 | | 3 | 71 | | 4 | 8 | | 5 | 45 | | 6 | 26 | | 7 | 50 | | 8 | 9 | | 9 | 53 | | 10 | 10 | | 11 | 36 | | 12 | 35 | | 13 | 13 | | 14 | 28 | | 15 | 57 | | 16 | 48 | | 17 | 8 | | 18 | 41 | | 19 | 6 | | 20 | 30 | | 21 | 27 | | 22 | 16 | | 23 | 34 | | 24 | 29 | | 25 | 5 | | 26 | 5 | | 27 | 44 | | 28 | 61 | | 29 | 8 | | 30 | 6 | | 31 | 42 | | 32 | 55 | | 33 | 5 | | 34 | 19 | | 35 | 16 | | 36 | 81 | | 37 | 21 | | 38 | 7 | | 39 | 8 | | 40 | 18 | | 41 | 12 | | 42 | 58 | | 43 | 4 | | 44 | 8 | | 45 | 33 | | 46 | 8 | | 47 | 53 | | 48 | 5 | | 49 | 11 |
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| 96.91% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 84 | | matches | | 0 | "being tested" | | 1 | "was supposed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 185 | | matches | | 0 | "was finding" | | 1 | "was working" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 111 | | ratio | 0.054 | | matches | | 0 | "Her blue eyes held that particular shade they got when she'd been cycling hard through East London traffic—that wild, unbothered look that had first caught Lucien's attention three years ago." | | 1 | "Rory was good at lies when she needed to be—the kind of lie that sounded like truth because it was close enough to it." | | 2 | "He'd been reading—one of Eva's research journals lay open on the coffee table, pages marked in his precise handwriting." | | 3 | "Something that smelled like Lucien's cologne—that particular blend of bergamot and something darker, something that tasted like smoke on the back of Rory's throat." | | 4 | "Rory's voice had that quality it always did when she was working through something—flat and sharp at once, like a blade being tested on a whetstone." | | 5 | "Three years and she still had that effect on him—the sensation that the room's oxygen levels had shifted, that the air between them had become something thicker, something requiring negotiation." |
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| 96.13% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1013 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 45 | | adverbRatio | 0.044422507403751234 | | lyAdverbCount | 18 | | lyAdverbRatio | 0.017769002961500493 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 13.11 | | std | 9.73 | | cv | 0.743 | | sampleLengths | | 0 | 7 | | 1 | 9 | | 2 | 1 | | 3 | 2 | | 4 | 4 | | 5 | 13 | | 6 | 24 | | 7 | 30 | | 8 | 8 | | 9 | 11 | | 10 | 20 | | 11 | 14 | | 12 | 9 | | 13 | 5 | | 14 | 12 | | 15 | 10 | | 16 | 8 | | 17 | 24 | | 18 | 4 | | 19 | 4 | | 20 | 9 | | 21 | 16 | | 22 | 11 | | 23 | 7 | | 24 | 19 | | 25 | 3 | | 26 | 7 | | 27 | 17 | | 28 | 7 | | 29 | 12 | | 30 | 31 | | 31 | 4 | | 32 | 13 | | 33 | 9 | | 34 | 10 | | 35 | 9 | | 36 | 3 | | 37 | 38 | | 38 | 16 | | 39 | 17 | | 40 | 7 | | 41 | 24 | | 42 | 8 | | 43 | 7 | | 44 | 15 | | 45 | 19 | | 46 | 6 | | 47 | 4 | | 48 | 26 | | 49 | 15 |
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| 58.86% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3963963963963964 | | totalSentences | 111 | | uniqueOpeners | 44 | |
| 88.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 75 | | matches | | 0 | "Just a flicker, but Lucien" | | 1 | "Instead, her fingers closed on" |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 75 | | matches | | 0 | "Her blue eyes held that" | | 1 | "She wore an oversized jumper" | | 2 | "She'd practiced it, probably, the" | | 3 | "He used it constantly." | | 4 | "His tailored charcoal suit hung" | | 5 | "His white shirt was partially" | | 6 | "He'd been reading—one of Eva's" | | 7 | "He buttoned his shirt, movements" | | 8 | "His heterochromatic eyes, one amber" | | 9 | "She stood dripping in her" | | 10 | "It wasn't a question." | | 11 | "He settled the cane's weight," | | 12 | "She picked up Ptolemy, who" | | 13 | "It was a thin thing," | | 14 | "She draped it over Eva's" | | 15 | "She'd been pale then, hollowed" | | 16 | "He'd stood in his Mayfair" | | 17 | "She finally turned to face" | | 18 | "Her bright blue eyes held" | | 19 | "He'd failed rather spectacularly at" |
| | ratio | 0.28 | |
| 13.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 75 | | matches | | 0 | "The deadbolts clicked open one" | | 1 | "Eva's voice filtered through the" | | 2 | "The chain rattled free." | | 3 | "Eva swung the door wide," | | 4 | "Rory stood in the narrow" | | 5 | "Her blue eyes held that" | | 6 | "Lucien Moreau stepped backward to" | | 7 | "Eva's tone managed to be" | | 8 | "She wore an oversized jumper" | | 9 | "Rory said, peeling off her" | | 10 | "Water dripped onto the floorboards." | | 11 | "The lie was so smooth" | | 12 | "She'd practiced it, probably, the" | | 13 | "Rory was good at lies" | | 14 | "Lucien recognised the technique." | | 15 | "He used it constantly." | | 16 | "His tailored charcoal suit hung" | | 17 | "His white shirt was partially" | | 18 | "The ivory-handled cane rested against" | | 19 | "He'd been reading—one of Eva's" |
| | ratio | 0.893 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 20.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 6 | | matches | | 0 | "Her blue eyes held that particular shade they got when she'd been cycling hard through East London traffic—that wild, unbothered look that had first caught Luci…" | | 1 | "She wore an oversized jumper that hung past her hips, and her short auburn hair stuck up at odd angles." | | 2 | "She stood dripping in her delivery jacket, which clung to her frame and made her look younger than twenty-five, more like the girl who'd fled Cardiff on a whim …" | | 3 | "Something that smelled like Lucien's cologne—that particular blend of bergamot and something darker, something that tasted like smoke on the back of Rory's thro…" | | 4 | "The kind of ending that meant he wouldn't show up at Eva's flat three years later, fresh off a conversation that had apparently convinced him that approaching R…" | | 5 | "Eva set Ptolemy down and excused herself with practiced grace, murmuring something about tea that was clearly just a pretext to leave them alone." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 2 | | fancyTags | | 0 | "Lucien continued (continue)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 46 | | tagDensity | 0.196 | | leniency | 0.391 | | rawRatio | 0.222 | | effectiveRatio | 0.087 | |