| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 54 | | tagDensity | 0.296 | | leniency | 0.593 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1386 | | totalAiIsmAdverbs | 2 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
| | 1 | |
| | highlights | | 0 | "barely above a whisper" | | 1 | "suddenly" |
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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) | |
| 27.85% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1386 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "silence" | | 1 | "gleaming" | | 2 | "echo" | | 3 | "unreadable" | | 4 | "weight" | | 5 | "pulse" | | 6 | "flicker" | | 7 | "whisper" | | 8 | "flicked" | | 9 | "fluttered" | | 10 | "unspoken" | | 11 | "porcelain" | | 12 | "footsteps" | | 13 | "fractured" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 116 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 116 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 154 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 6 | | totalWords | 1377 | | ratio | 0.004 | | matches | | 0 | "Practical Necromancy of the 18th Century" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 71.03% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 1013 | | uniqueNames | 16 | | maxNameDensity | 1.58 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Brick | 2 | | Lane | 2 | | Rory | 16 | | Ptolemy | 3 | | Eva | 6 | | Lucien | 15 | | Moreau | 1 | | Evan | 2 | | Necromancy | 1 | | Thames | 1 | | Marrakech | 1 | | Paris | 1 | | Adam | 1 | | London | 1 | | Camden | 1 | | Whitechapel | 1 |
| | persons | | 0 | "Rory" | | 1 | "Ptolemy" | | 2 | "Eva" | | 3 | "Lucien" | | 4 | "Moreau" | | 5 | "Evan" | | 6 | "Adam" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Thames" | | 3 | "Marrakech" | | 4 | "Paris" | | 5 | "London" | | 6 | "Camden" |
| | globalScore | 0.71 | | windowScore | 0.833 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like a bad debt coming due" | | 1 | "as if grounding a sound he couldn’t make" | | 2 | "tasted like ash and old wine" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.726 | | wordCount | 1377 | | matches | | 0 | "not Lucien’s fault, but still, his presence felt like a bad debt coming due" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 154 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 19.67 | | std | 14.68 | | cv | 0.746 | | sampleLengths | | 0 | 60 | | 1 | 4 | | 2 | 19 | | 3 | 35 | | 4 | 25 | | 5 | 18 | | 6 | 11 | | 7 | 9 | | 8 | 47 | | 9 | 34 | | 10 | 42 | | 11 | 10 | | 12 | 58 | | 13 | 7 | | 14 | 10 | | 15 | 53 | | 16 | 18 | | 17 | 34 | | 18 | 11 | | 19 | 8 | | 20 | 28 | | 21 | 44 | | 22 | 4 | | 23 | 5 | | 24 | 10 | | 25 | 2 | | 26 | 16 | | 27 | 47 | | 28 | 10 | | 29 | 22 | | 30 | 3 | | 31 | 10 | | 32 | 6 | | 33 | 18 | | 34 | 3 | | 35 | 2 | | 36 | 27 | | 37 | 14 | | 38 | 37 | | 39 | 25 | | 40 | 8 | | 41 | 33 | | 42 | 25 | | 43 | 5 | | 44 | 30 | | 45 | 4 | | 46 | 19 | | 47 | 32 | | 48 | 11 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 176 | | matches | | 0 | "wasn’t talking" | | 1 | "wasn’t lying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 1 | | flaggedSentences | 9 | | totalSentences | 154 | | ratio | 0.058 | | matches | | 0 | "She’d been expecting Eva’s key to scrape in her lock—not the broad frame of Lucien Moreau blocking the hallway light." | | 1 | "The scar on her wrist itched, a phantom echo from Evan’s belt—not Lucien’s fault, but still, his presence felt like a bad debt coming due." | | 2 | "His amber eye gleamed; the black one stayed unreadable as ever." | | 3 | "He moved past her, the scent of bergamot and something older—ozone, sulfur—filling the cramped space." | | 4 | "The hum of Brick Lane’s nightlife seeped through the thin walls—a siren’s wail, the clatter of a takeaway tray tossed into a bin." | | 5 | "It was the living who refused to stay buried—the ones who crawled back from their graves, dressed in the wrong clothes, saying the wrong names." | | 6 | "His eyes darkened at the core—like a match struck in reverse." | | 7 | "That got a sharp inhale from him—almost a laugh, or a hiss through teeth." | | 8 | "His tells were different from humans—too still, too controlled." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1025 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 41 | | adverbRatio | 0.04 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.006829268292682927 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 154 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 154 | | mean | 8.94 | | std | 5.77 | | cv | 0.645 | | sampleLengths | | 0 | 18 | | 1 | 22 | | 2 | 20 | | 3 | 4 | | 4 | 16 | | 5 | 3 | | 6 | 7 | | 7 | 3 | | 8 | 25 | | 9 | 12 | | 10 | 11 | | 11 | 2 | | 12 | 2 | | 13 | 2 | | 14 | 14 | | 15 | 11 | | 16 | 3 | | 17 | 6 | | 18 | 5 | | 19 | 17 | | 20 | 8 | | 21 | 17 | | 22 | 14 | | 23 | 13 | | 24 | 7 | | 25 | 6 | | 26 | 15 | | 27 | 21 | | 28 | 4 | | 29 | 6 | | 30 | 5 | | 31 | 23 | | 32 | 15 | | 33 | 6 | | 34 | 4 | | 35 | 5 | | 36 | 7 | | 37 | 5 | | 38 | 5 | | 39 | 4 | | 40 | 8 | | 41 | 25 | | 42 | 16 | | 43 | 18 | | 44 | 23 | | 45 | 11 | | 46 | 3 | | 47 | 8 | | 48 | 8 | | 49 | 7 |
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| 54.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.34415584415584416 | | totalSentences | 154 | | uniqueOpeners | 53 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 110 | | matches | | 0 | "Then his cane tapped once" | | 1 | "Just the question hanging between" | | 2 | "Just a flicker of something" | | 3 | "Just held the mug between" |
| | ratio | 0.036 | |
| 85.45% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 110 | | matches | | 0 | "She’d been expecting Eva’s key" | | 1 | "His amber eye gleamed; the" | | 2 | "His mouth quirked." | | 3 | "She exhaled through her nose." | | 4 | "He knew exactly how to" | | 5 | "She reached down without looking," | | 6 | "she told the cat" | | 7 | "He moved past her, the" | | 8 | "He smirked without turning." | | 9 | "He chuckled, low and knowing." | | 10 | "She wanted to argue." | | 11 | "It was the living who" | | 12 | "She kept her back to" | | 13 | "He set down a brass" | | 14 | "She turned then, leaning against" | | 15 | "His eyes darkened at the" | | 16 | "He didn’t deny it." | | 17 | "Her voice cracked" | | 18 | "She cleared it, softer now." | | 19 | "He cut himself off, cane" |
| | ratio | 0.336 | |
| 50.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 110 | | matches | | 0 | "The air from Brick Lane" | | 1 | "The flat’s shadows stretched long" | | 2 | "She’d been expecting Eva’s key" | | 3 | "A heartbeat of silence." | | 4 | "Rory didn’t close the door" | | 5 | "The scar on her wrist" | | 6 | "Lucien adjusted his charcoal jacket," | | 7 | "His amber eye gleamed; the" | | 8 | "Rory said, arms still braced" | | 9 | "His mouth quirked." | | 10 | "She exhaled through her nose." | | 11 | "The weight of his cane" | | 12 | "He knew exactly how to" | | 13 | "Ptolemy appeared from the bedroom," | | 14 | "She reached down without looking," | | 15 | "she told the cat" | | 16 | "Lucien didn’t wait for an" | | 17 | "He moved past her, the" | | 18 | "The flat groaned under his" | | 19 | "Rory shut the door." |
| | ratio | 0.818 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 110 | | matches | (empty) | | ratio | 0 | |
| 86.47% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 3 | | matches | | 0 | "It was the living who refused to stay buried—the ones who crawled back from their graves, dressed in the wrong clothes, saying the wrong names." | | 1 | "Like Lucien in his tailored suit, standing too close to her books, breathing her borrowed air." | | 2 | "Just a flicker of something sharper, something that had always sliced deeper than rage." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 2 | | matches | | 0 | "She kept, hands gripping the edge of Eva’s cluttered desk" | | 1 | "she said, but her voice lacked bite" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 54 | | tagDensity | 0.093 | | leniency | 0.185 | | rawRatio | 0 | | effectiveRatio | 0 | |