| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 42 | | tagDensity | 0.024 | | leniency | 0.048 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1397 | | totalAiIsmAdverbs | 1 | | 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) | |
| 60.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1397 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "measured" | | 1 | "rhythmic" | | 2 | "chill" | | 3 | "silence" | | 4 | "familiar" | | 5 | "facade" | | 6 | "pulse" | | 7 | "warmth" | | 8 | "traced" | | 9 | "silk" |
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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 | 53 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 53 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1395 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 925 | | uniqueNames | 12 | | maxNameDensity | 0.86 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | Eva | 2 | | Ptolemy | 1 | | Lucien | 7 | | Aurora | 8 | | London | 2 | | Cardiff | 1 | | Golden | 1 | | Empress | 1 | | French | 1 | | Seine | 1 | | Newport | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Ptolemy" | | 3 | "Lucien" | | 4 | "Aurora" |
| | places | | 0 | "London" | | 1 | "Cardiff" | | 2 | "Golden" | | 3 | "French" | | 4 | "Seine" | | 5 | "Newport" |
| | globalScore | 1 | | windowScore | 1 | |
| 98.98% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 1 | | matches | | 0 | "of her throat, visibly jumping beneath the" |
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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 | 1395 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 68 | | mean | 20.51 | | std | 17.17 | | cv | 0.837 | | sampleLengths | | 0 | 10 | | 1 | 23 | | 2 | 57 | | 3 | 12 | | 4 | 45 | | 5 | 2 | | 6 | 23 | | 7 | 12 | | 8 | 77 | | 9 | 6 | | 10 | 18 | | 11 | 7 | | 12 | 57 | | 13 | 24 | | 14 | 27 | | 15 | 8 | | 16 | 7 | | 17 | 20 | | 18 | 23 | | 19 | 14 | | 20 | 28 | | 21 | 12 | | 22 | 13 | | 23 | 38 | | 24 | 5 | | 25 | 10 | | 26 | 22 | | 27 | 10 | | 28 | 1 | | 29 | 27 | | 30 | 46 | | 31 | 7 | | 32 | 51 | | 33 | 22 | | 34 | 77 | | 35 | 5 | | 36 | 5 | | 37 | 30 | | 38 | 7 | | 39 | 49 | | 40 | 3 | | 41 | 8 | | 42 | 20 | | 43 | 7 | | 44 | 5 | | 45 | 28 | | 46 | 9 | | 47 | 14 | | 48 | 32 | | 49 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 53 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 141 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 5 | | flaggedSentences | 7 | | totalSentences | 94 | | ratio | 0.074 | | matches | | 0 | "Aurora stared into his mismatched eyes—one the warm hue of spiced amber, the other a well of lightless black." | | 1 | "A striped grey blur detached itself from a mountain of occult folios; Ptolemy slinked forward, sniffed the hem of Lucien’s pressed trousers, and wound between his shins with a rumbling purr." | | 2 | "The amber eye narrowed; the demon black absorbed the dim room." | | 3 | "The heat in her cheeks was not embarrassment; it was the raw, unpolished fury she had spent half a year bottling beneath shifts at the Golden Empress and sleepless nights on Eva's creaking fold-out sofa." | | 4 | "Lucien tossed the cane onto a tower of legal ledgers; it settled with a muffled thud." | | 5 | "Her skin brushed his—a jolt of raw heat, a half-demon's unnatural warmth coursing through her thumb." | | 6 | "The anger between them had not dissolved; it had simply curdled into fuel, hot and suffocating in the narrow, paper-strewn hallway." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 936 | | adjectiveStacks | 1 | | stackExamples | | 0 | "narrow, paper-strewn hallway." |
| | adverbCount | 20 | | adverbRatio | 0.021367521367521368 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.003205128205128205 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 14.84 | | std | 8.9 | | cv | 0.6 | | sampleLengths | | 0 | 10 | | 1 | 23 | | 2 | 8 | | 3 | 19 | | 4 | 14 | | 5 | 16 | | 6 | 12 | | 7 | 19 | | 8 | 26 | | 9 | 2 | | 10 | 23 | | 11 | 12 | | 12 | 22 | | 13 | 5 | | 14 | 19 | | 15 | 31 | | 16 | 6 | | 17 | 18 | | 18 | 7 | | 19 | 18 | | 20 | 16 | | 21 | 23 | | 22 | 24 | | 23 | 16 | | 24 | 11 | | 25 | 8 | | 26 | 7 | | 27 | 20 | | 28 | 23 | | 29 | 14 | | 30 | 10 | | 31 | 18 | | 32 | 12 | | 33 | 13 | | 34 | 3 | | 35 | 35 | | 36 | 5 | | 37 | 10 | | 38 | 14 | | 39 | 8 | | 40 | 10 | | 41 | 1 | | 42 | 27 | | 43 | 46 | | 44 | 7 | | 45 | 20 | | 46 | 16 | | 47 | 15 | | 48 | 22 | | 49 | 14 |
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| 51.06% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.3191489361702128 | | totalSentences | 94 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 61.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 53 | | matches | | 0 | "His slicked-back platinum hair gleamed" | | 1 | "She slipped the chain free," | | 2 | "He surveyed the narrow hallway." | | 3 | "He stripped his goatskin gloves" | | 4 | "She shut the front door" | | 5 | "He topped her by five" | | 6 | "Her chin lifted." | | 7 | "His cane clicked once against" | | 8 | "She took a stride toward" | | 9 | "His hands came up, hovering" | | 10 | "Her pulse hammered against the" | | 11 | "She remembered the heat of" | | 12 | "He reached into the inner" | | 13 | "Her skin brushed his—a jolt" | | 14 | "His gaze dropped to her" | | 15 | "Her breath hitched as his" | | 16 | "His thumb traced the line" | | 17 | "His other hand found her" | | 18 | "Her voice shook, betraying the" | | 19 | "Her palms flattened against the" |
| | ratio | 0.396 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 53 | | matches | | 0 | "The third heavy brass deadbolt" | | 1 | "Aurora pulled the timber door" | | 2 | "Lucien Moreau stood beneath the" | | 3 | "Rain glistened on the shoulders" | | 4 | "His slicked-back platinum hair gleamed" | | 5 | "Aurora stared into his mismatched" | | 6 | "The cardamom and fried onion" | | 7 | "She slipped the chain free," | | 8 | "Lucien stepped over the sill" | | 9 | "He surveyed the narrow hallway." | | 10 | "Piles of parchment, yellowed codices," | | 11 | "A striped grey blur detached" | | 12 | "Lucien extended one gloved finger" | | 13 | "Aurora folded her arms across" | | 14 | "The cotton sleeves of her" | | 15 | "He stripped his goatskin gloves" | | 16 | "The amber eye narrowed; the" | | 17 | "She shut the front door" | | 18 | "Lucien closed the gap between" | | 19 | "He topped her by five" |
| | ratio | 0.943 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 2 | | matches | | 0 | "Aurora knocked his hand aside, though her fingers lingered on the crisp fabric of his cuffs, gripping the charcoal wool instead of shoving him back." | | 1 | "Her palms flattened against the solid plane of his chest, feeling the steady, heavy beat of his heart through the silk lining." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her grip tightening on his lapels until the seams groaned" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 42 | | tagDensity | 0.024 | | leniency | 0.048 | | rawRatio | 0 | | effectiveRatio | 0 | |