| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "She turned away [away]" |
| | dialogueSentences | 38 | | tagDensity | 0.526 | | leniency | 1 | | rawRatio | 0.05 | | effectiveRatio | 0.05 | |
| 90.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1600 | | 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) | |
| 31.25% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1600 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "sanctuary" | | 1 | "familiar" | | 2 | "pounding" | | 3 | "rhythmic" | | 4 | "echoing" | | 5 | "velvet" | | 6 | "testament" | | 7 | "pawn" | | 8 | "predator" | | 9 | "charged" | | 10 | "pulse" | | 11 | "beacon" | | 12 | "chill" | | 13 | "tenderness" | | 14 | "lilt" | | 15 | "tracing" | | 16 | "silence" | | 17 | "resolve" | | 18 | "tension" | | 19 | "intensity" | | 20 | "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 | 72 | | matches | (empty) | |
| 83.33% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 72 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1591 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 85.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 1077 | | uniqueNames | 16 | | maxNameDensity | 1.3 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Brick | 2 | | Lane | 2 | | Eva | 3 | | Marseille | 1 | | London | 2 | | Moreau | 1 | | Mayfair | 1 | | East | 1 | | Golden | 1 | | Empress | 1 | | Rory | 14 | | Ottoman | 1 | | Empire | 1 | | Lucien | 9 | | French | 1 | | Ptolemy | 2 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Lucien" | | 4 | "Ptolemy" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Marseille" | | 3 | "London" | | 4 | "Mayfair" | | 5 | "East" |
| | globalScore | 0.85 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1591 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 43 | | std | 24.69 | | cv | 0.574 | | sampleLengths | | 0 | 125 | | 1 | 25 | | 2 | 17 | | 3 | 4 | | 4 | 54 | | 5 | 46 | | 6 | 10 | | 7 | 51 | | 8 | 30 | | 9 | 59 | | 10 | 48 | | 11 | 41 | | 12 | 66 | | 13 | 24 | | 14 | 65 | | 15 | 41 | | 16 | 74 | | 17 | 13 | | 18 | 69 | | 19 | 45 | | 20 | 66 | | 21 | 16 | | 22 | 61 | | 23 | 20 | | 24 | 24 | | 25 | 89 | | 26 | 27 | | 27 | 39 | | 28 | 56 | | 29 | 19 | | 30 | 41 | | 31 | 49 | | 32 | 17 | | 33 | 37 | | 34 | 30 | | 35 | 23 | | 36 | 70 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 72 | | matches | | |
| 87.64% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 178 | | matches | | 0 | "was staying" | | 1 | "wasn't watching" | | 2 | "was currently sniffing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 2 | | flaggedSentences | 8 | | totalSentences | 91 | | ratio | 0.088 | | matches | | 0 | "She gripped the handle of a heavy cast-iron skillet—the only weapon within reach—and squinted through the peephole." | | 1 | "His ivory-handled cane rested between his polished shoes, and his heterochromatic eyes—one flickering amber like trapped sunlight, the other a void of pure black—swept over her with agonizing slowness." | | 2 | "He stopped just inches away, close enough for her to smell his scent—expensive tobacco, cold rain, and something metallic that always reminded her of his demon silver." | | 3 | "He was an information broker; he knew exactly where the structural weaknesses were in any soul." | | 4 | "\"I'm not going anywhere with you.\" She turned away, but he caught her wrist—the left one." | | 5 | "The history between them wasn't just blood and secrets; it was the way he had looked at her when he thought she wasn't watching, the way he’d taught her to defend herself, and the one night they had almost crossed a line that neither could uncross." | | 6 | "A small, genuine smile touched the half-demon's lips—a rare sight that felt like a gift." | | 7 | "It was a collision of everything they’d tried to bury—the hurt, the fear, and the undeniable, supernatural gravity that kept pulling them back into each other's orbit." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 966 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.032091097308488616 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.011387163561076604 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 17.48 | | std | 9.79 | | cv | 0.56 | | sampleLengths | | 0 | 19 | | 1 | 28 | | 2 | 30 | | 3 | 26 | | 4 | 22 | | 5 | 25 | | 6 | 17 | | 7 | 4 | | 8 | 20 | | 9 | 14 | | 10 | 2 | | 11 | 18 | | 12 | 17 | | 13 | 29 | | 14 | 10 | | 15 | 14 | | 16 | 12 | | 17 | 25 | | 18 | 11 | | 19 | 1 | | 20 | 1 | | 21 | 1 | | 22 | 16 | | 23 | 30 | | 24 | 29 | | 25 | 5 | | 26 | 4 | | 27 | 24 | | 28 | 15 | | 29 | 26 | | 30 | 15 | | 31 | 22 | | 32 | 24 | | 33 | 20 | | 34 | 17 | | 35 | 7 | | 36 | 30 | | 37 | 35 | | 38 | 14 | | 39 | 27 | | 40 | 23 | | 41 | 18 | | 42 | 33 | | 43 | 8 | | 44 | 5 | | 45 | 18 | | 46 | 25 | | 47 | 26 | | 48 | 3 | | 49 | 9 |
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| 49.45% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.32967032967032966 | | totalSentences | 91 | | uniqueOpeners | 30 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 65 | | matches | | 0 | "Then came the knock." | | 1 | "Instead, she leaned into him," |
| | ratio | 0.031 | |
| 53.85% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 65 | | matches | | 0 | "She tucked a stray strand" | | 1 | "It was a nervous habit," | | 2 | "It wasn't the frantic pounding" | | 3 | "It was three deliberate, echoing" | | 4 | "She hadn't expected Eva back" | | 5 | "She gripped the handle of" | | 6 | "Her heart did a slow," | | 7 | "She swung the door open," | | 8 | "His ivory-handled cane rested between" | | 9 | "He stepped forward, not waiting" | | 10 | "He closed the door behind" | | 11 | "he said, the lightness of" | | 12 | "He stopped just inches away," | | 13 | "He dropped his hand, his" | | 14 | "she countered, her chin lifting" | | 15 | "She hated how easily he" | | 16 | "He was an information broker;" | | 17 | "she lied, her pulse drumming" | | 18 | "he said, stepping into her" | | 19 | "She turned away, but he" |
| | ratio | 0.415 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 65 | | matches | | 0 | "The third deadbolt clicked into" | | 1 | "Rory leaned her forehead against" | | 2 | "She tucked a stray strand" | | 3 | "It was a nervous habit," | | 4 | "Ptolemy, the tabby cat who" | | 5 | "Rory muttered, reaching for the" | | 6 | "It wasn't the frantic pounding" | | 7 | "It was three deliberate, echoing" | | 8 | "She hadn't expected Eva back" | | 9 | "She gripped the handle of" | | 10 | "The fish-eye lens distorted the" | | 11 | "Her heart did a slow," | | 12 | "a smooth, melodic voice drifted" | | 13 | "The accent was a velvet" | | 14 | "Rory’s hands shook as she" | | 15 | "She swung the door open," | | 16 | "Lucien Moreau stood in the" | | 17 | "His ivory-handled cane rested between" | | 18 | "The lie was graceful." | | 19 | "Rory knew she looked exhausted," |
| | ratio | 0.923 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 17.86% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 7 | | matches | | 0 | "It was a nervous habit, a tactile grounding mechanism that reminded her she had survived worse than a long shift delivering takeaway." | | 1 | "Ptolemy, the tabby cat who reigned over the stacks of occult scrolls and dusty law journals, wound himself around her ankles with a demanding trill." | | 2 | "Lucien Moreau stood in the narrow, dim hallway, looking as though he had just stepped out of a private club in Mayfair rather than a drafty tenement in East Lon…" | | 3 | "His fingers were surprisingly warm, circling the crescent scar with a tenderness that hurt worse than a blow." | | 4 | "A small, genuine smile touched the half-demon's lips—a rare sight that felt like a gift." | | 5 | "Rory reached up, her hand tangling in his platinum hair, pulling him down the final inch." | | 6 | "It was a collision of everything they’d tried to bury—the hurt, the fear, and the undeniable, supernatural gravity that kept pulling them back into each other's…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 5 | | matches | | 0 | "He stepped, not waiting for an invitation" | | 1 | "he said, the lightness of his tone sharpening into something more dangerous" | | 2 | "she lied, her pulse drumming against her collarbone" | | 3 | "he said, his voice dropping to a low, rough vibration" | | 4 | "Lucien admitted, his thumb tracing the curve of the scar" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 8 | | fancyTags | | 0 | "Rory muttered (mutter)" | | 1 | "Rory snapped (snap)" | | 2 | "Lucien whispered (whisper)" | | 3 | "she lied (lie)" | | 4 | "Lucien corrected (correct)" | | 5 | "Lucien admitted (admit)" | | 6 | "he murmured (murmur)" | | 7 | "she whispered (whisper)" |
| | dialogueSentences | 38 | | tagDensity | 0.368 | | leniency | 0.737 | | rawRatio | 0.571 | | effectiveRatio | 0.421 | |