| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 54 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 77.72% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2244 | | totalAiIsmAdverbs | 10 | | found | | | highlights | | 0 | "slightly" | | 1 | "carefully" | | 2 | "suddenly" | | 3 | "very" | | 4 | "completely" |
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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) | |
| 75.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2244 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "sense of" | | 1 | "stomach" | | 2 | "sanctuary" | | 3 | "flickered" | | 4 | "wavered" | | 5 | "eyebrow" | | 6 | "traced" | | 7 | "grave" | | 8 | "tension" | | 9 | "silence" | | 10 | "could feel" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "let out a breath" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
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| | highlights | | 0 | "let out a breath" | | 1 | "hung in the air" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 123 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 123 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 153 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 86 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2263 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 25 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 55 | | wordCount | 1644 | | uniqueNames | 10 | | maxNameDensity | 0.91 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Eva" | | discoveredNames | | Indian | 1 | | Ptolemy | 6 | | Eva | 11 | | Moreau | 3 | | Rory | 15 | | Lucien | 13 | | French | 1 | | Evan | 1 | | Brick | 2 | | Lane | 2 |
| | persons | | 0 | "Ptolemy" | | 1 | "Eva" | | 2 | "Moreau" | | 3 | "Rory" | | 4 | "Lucien" | | 5 | "Evan" |
| | places | | | globalScore | 1 | | windowScore | 0.667 | |
| 28.05% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 4 | | matches | | 0 | "quite read" | | 1 | "not quite a smile, more the memory of one" | | 2 | "seemed wrong for a man his size, the cane tapping once against the floorboards before he found his balance" | | 3 | "as if reaching for something he couldn’t name" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 0.884 | | wordCount | 2263 | | matches | | 0 | "not the composed mask, not the sardonic half-smile, but something raw" | | 1 | "not the sardonic half-smile, but something raw" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 153 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 35.92 | | std | 26.21 | | cv | 0.73 | | sampleLengths | | 0 | 103 | | 1 | 34 | | 2 | 11 | | 3 | 4 | | 4 | 63 | | 5 | 10 | | 6 | 90 | | 7 | 3 | | 8 | 20 | | 9 | 35 | | 10 | 18 | | 11 | 53 | | 12 | 22 | | 13 | 34 | | 14 | 47 | | 15 | 6 | | 16 | 2 | | 17 | 35 | | 18 | 44 | | 19 | 35 | | 20 | 77 | | 21 | 6 | | 22 | 47 | | 23 | 42 | | 24 | 21 | | 25 | 32 | | 26 | 56 | | 27 | 24 | | 28 | 35 | | 29 | 79 | | 30 | 23 | | 31 | 59 | | 32 | 12 | | 33 | 35 | | 34 | 8 | | 35 | 2 | | 36 | 60 | | 37 | 24 | | 38 | 60 | | 39 | 49 | | 40 | 38 | | 41 | 4 | | 42 | 73 | | 43 | 50 | | 44 | 6 | | 45 | 34 | | 46 | 82 | | 47 | 13 | | 48 | 52 | | 49 | 106 |
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| 88.15% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 6 | | totalSentences | 123 | | matches | | 0 | "was slicked" | | 1 | "been stitched" | | 2 | "was gone" | | 3 | "got complicated " | | 4 | "being ignored" | | 5 | "been broken" |
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| 74.69% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 266 | | matches | | 0 | "was standing" | | 1 | "was hanging" | | 2 | "was watching" | | 3 | "were stinging" | | 4 | "was doing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 0 | | flaggedSentences | 13 | | totalSentences | 153 | | ratio | 0.085 | | matches | | 0 | "She worked the deadbolts one by one — Eva had insisted on three of them when she moved in, something about the wrong kind of people knowing where she lived — and pulled the door open onto the narrow landing." | | 1 | "And his eyes — one amber as brandy, the other a depthless black — held hers with an expression she couldn’t quite read." | | 2 | "Lucien’s mouth curved — not quite a smile, more the memory of one." | | 3 | "The flat above the curry house, the three deadbolts, the cat — these were Eva’s protections, Eva’s sanctuary." | | 4 | "She’d been so bloody careful — the new city, the new name at work, the flat above Silas’ bar that she paid for in cash." | | 5 | "Lucien surveyed the flat with a sweep of his mismatched eyes — the explosion of books on every surface, the half-eaten curry, the diagrams of ley lines and summoning circles pinned to the walls with colorful pushpins." | | 6 | "It was something he’d teased her about in the early days, before things got complicated — the way her lawyer’s mind organized information, the analytical distance she kept between herself and the chaos of the supernatural world he inhabited." | | 7 | "He stopped close enough that she could smell his cologne — sandalwood and something darker, like woodsmoke — and see the faint scar that bisected his left eyebrow, a silvery thread she’d traced with her fingertip once, in a different flat, in a different life." | | 8 | "Then he touched her face — just the backs of his knuckles against her cheekbone, feather-light, as if she might shatter." | | 9 | "The gesture was so gentle, so at odds with everything she knew about him — the blade in the cane, the demon blood, the network of informants and favors and carefully traded secrets." | | 10 | "Lucien’s expression shifted — not the composed mask, not the sardonic half-smile, but something raw and unguarded that made him look younger and older all at once." | | 11 | "Ptolemy meowed — a short, insistent sound of feline displeasure at being ignored." | | 12 | "Outside, Brick Lane was doing what Brick Lane always did — rumbling with traffic, fragrant with spices, indifferent to the small dramas unfolding in the flats above." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1301 | | adjectiveStacks | 1 | | stackExamples | | 0 | "growing cold beside her," |
| | adverbCount | 51 | | adverbRatio | 0.03920061491160646 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.010760953112990008 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 153 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 153 | | mean | 14.79 | | std | 13.34 | | cv | 0.902 | | sampleLengths | | 0 | 28 | | 1 | 38 | | 2 | 37 | | 3 | 3 | | 4 | 18 | | 5 | 13 | | 6 | 6 | | 7 | 5 | | 8 | 4 | | 9 | 10 | | 10 | 13 | | 11 | 40 | | 12 | 10 | | 13 | 31 | | 14 | 12 | | 15 | 13 | | 16 | 23 | | 17 | 1 | | 18 | 1 | | 19 | 9 | | 20 | 3 | | 21 | 2 | | 22 | 2 | | 23 | 16 | | 24 | 12 | | 25 | 13 | | 26 | 10 | | 27 | 13 | | 28 | 5 | | 29 | 4 | | 30 | 13 | | 31 | 10 | | 32 | 18 | | 33 | 8 | | 34 | 13 | | 35 | 4 | | 36 | 5 | | 37 | 19 | | 38 | 15 | | 39 | 3 | | 40 | 3 | | 41 | 25 | | 42 | 5 | | 43 | 11 | | 44 | 6 | | 45 | 2 | | 46 | 31 | | 47 | 4 | | 48 | 5 | | 49 | 22 |
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| 41.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.3006535947712418 | | totalSentences | 153 | | uniqueOpeners | 46 | |
| 62.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 106 | | matches | | 0 | "Of course he wasn’t." | | 1 | "Then he touched her face" |
| | ratio | 0.019 | |
| 57.74% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 106 | | matches | | 0 | "She’d been trying to make" | | 1 | "She untangled herself from the" | | 2 | "She worked the deadbolts one" | | 3 | "His platinum hair was slicked" | | 4 | "His suit fit him like" | | 5 | "He was the only person" | | 6 | "She blocked the doorway with" | | 7 | "She should have known the" | | 8 | "she asked, though she already" | | 9 | "He tipped his cane slightly," | | 10 | "She’d been careful." | | 11 | "She’d been so bloody careful" | | 12 | "He’d still tracked her down" | | 13 | "She stopped herself, shook her" | | 14 | "It was gone almost before" | | 15 | "She’d spent too many nights" | | 16 | "His voice was quieter than" | | 17 | "She should have closed the" | | 18 | "She stepped back from the" | | 19 | "He moved past her with" |
| | ratio | 0.406 | |
| 7.17% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 106 | | matches | | 0 | "Eva’s flat smelled of curry" | | 1 | "Rory sat cross-legged on the" | | 2 | "She’d been trying to make" | | 3 | "These were precise, deliberate, the" | | 4 | "Rory’s hand stilled on Ptolemy’s" | | 5 | "The cat’s ears swiveled forward." | | 6 | "The knock came again." | | 7 | "She untangled herself from the" | | 8 | "The flat was small enough" | | 9 | "She worked the deadbolts one" | | 10 | "The breath left her lungs" | | 11 | "Lucien Moreau stood silhouetted against" | | 12 | "His platinum hair was slicked" | | 13 | "His suit fit him like" | | 14 | "Something else beneath it she" | | 15 | "He was the only person" | | 16 | "The words came out clipped," | | 17 | "She blocked the doorway with" | | 18 | "Lucien’s mouth curved — not" | | 19 | "The realization settled into her" |
| | ratio | 0.906 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 106 | | matches | (empty) | | ratio | 0 | |
| 12.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 10 | | matches | | 0 | "She’d been trying to make sense of Eva’s handwriting for the better part of an hour, squinting at diagrams of ley lines and marginalia that veered between acade…" | | 1 | "He stopped close enough that she could smell his cologne — sandalwood and something darker, like woodsmoke — and see the faint scar that bisected his left eyebr…" | | 2 | "Lucien Moreau, who could talk a demon out of a blood pact and a revenant into an early grave, was standing in front of her and admitting to cowardice." | | 3 | "She could read the tension in his shoulders, the way his free hand had emerged from his pocket and was hanging at his side, fingers slightly curled as if reachi…" | | 4 | "The silence that followed was thick and alive, a third presence in the overheated room." | | 5 | "She thought about Evan, about her father’s courtroom voice telling her to be reasonable, about every careful choice she’d ever made that had led her to a crampe…" | | 6 | "Then he touched her face — just the backs of his knuckles against her cheekbone, feather-light, as if she might shatter." | | 7 | "But Rory had spent her whole life being sensible, and sensible had left her with a crescent scar on her wrist and a string of careful choices that had never qui…" | | 8 | "Rory let out a breath that was half-laugh, half-sob, and Lucien’s mouth curved into something that was definitely a smile this time, small and private and meant…" | | 9 | "But inside, in the cramped living room with the deadbolts still undone and the cat weaving between their ankles, something that had been broken for eight months…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 54 | | tagDensity | 0.204 | | leniency | 0.407 | | rawRatio | 0.091 | | effectiveRatio | 0.037 | |