| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "His fingers flexed around [around]" |
| | dialogueSentences | 52 | | tagDensity | 0.288 | | leniency | 0.577 | | rawRatio | 0.067 | | effectiveRatio | 0.038 | |
| 80.74% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1558 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "softly" | | 1 | "very" | | 2 | "sharply" | | 3 | "really" | | 4 | "slowly" |
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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) | |
| 64.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1558 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "flicked" | | 1 | "comfortable" | | 2 | "silence" | | 3 | "predator" | | 4 | "pulse" | | 5 | "tension" | | 6 | "stomach" | | 7 | "efficient" | | 8 | "flickered" |
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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 | 125 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 125 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 161 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 7 | | markdownWords | 14 | | totalWords | 1545 | | ratio | 0.009 | | matches | | 0 | "alarm" | | 1 | "Lucien." | | 2 | "You’re not ready for what I am." | | 3 | "no choice" | | 4 | "very" | | 5 | "do" | | 6 | "hell" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 50 | | wordCount | 1191 | | uniqueNames | 13 | | maxNameDensity | 1.34 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 16 | | Eva | 6 | | Silas | 1 | | Golden | 1 | | Empress | 1 | | French-accented | 1 | | Six | 1 | | Moreau | 2 | | Lucien | 16 | | Brick | 1 | | Lane | 1 | | London | 1 | | Avaros | 2 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Silas" | | 3 | "Empress" | | 4 | "Moreau" | | 5 | "Lucien" |
| | places | | 0 | "Golden" | | 1 | "Six" | | 2 | "Brick" | | 3 | "Lane" | | 4 | "London" | | 5 | "Avaros" |
| | globalScore | 0.828 | | windowScore | 0.667 | |
| 41.30% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 3 | | matches | | 0 | "something like gunpowder and old books—washi" | | 1 | "as if memorizing the new lines around her mouth, the way her scar—just a pale crescent on her left wrist—stood out against her skin" | | 2 | "felt like to be close to him" |
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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 | 1545 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 161 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 69 | | mean | 22.39 | | std | 19.18 | | cv | 0.857 | | sampleLengths | | 0 | 66 | | 1 | 32 | | 2 | 61 | | 3 | 55 | | 4 | 4 | | 5 | 59 | | 6 | 14 | | 7 | 52 | | 8 | 45 | | 9 | 8 | | 10 | 16 | | 11 | 41 | | 12 | 10 | | 13 | 39 | | 14 | 21 | | 15 | 43 | | 16 | 73 | | 17 | 5 | | 18 | 36 | | 19 | 29 | | 20 | 13 | | 21 | 24 | | 22 | 25 | | 23 | 13 | | 24 | 6 | | 25 | 15 | | 26 | 12 | | 27 | 33 | | 28 | 3 | | 29 | 16 | | 30 | 8 | | 31 | 9 | | 32 | 29 | | 33 | 16 | | 34 | 53 | | 35 | 8 | | 36 | 12 | | 37 | 7 | | 38 | 55 | | 39 | 7 | | 40 | 5 | | 41 | 19 | | 42 | 9 | | 43 | 8 | | 44 | 69 | | 45 | 10 | | 46 | 10 | | 47 | 19 | | 48 | 57 | | 49 | 6 |
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| 99.65% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 125 | | matches | | 0 | "was raised" | | 1 | "been forged" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 219 | | matches | | 0 | "was pouring" | | 1 | "was, filling" | | 2 | "was telling" |
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| 18.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 161 | | ratio | 0.043 | | matches | | 0 | "The flat was a mess—scrolls unrolled across the coffee table, a half-eaten plate of samosas congealing beside an open book on demonic sigils, and her own discarded hoodie draped over the back of the armchair." | | 1 | "The door swung open, and there he was, filling the frame with his presence, the scent of bergamot and something darker—something like gunpowder and old books—washing over her." | | 2 | "His heterochromatic eyes studied her, as if memorizing the new lines around her mouth, the way her scar—just a pale crescent on her left wrist—stood out against her skin." | | 3 | "She was too busy watching the way his shoulders filled out his tailored jacket, the way his fingers—long, elegant—adjusted the cuffs of his sleeves." | | 4 | "She could see her reflection in the glass—pale, wide-eyed, a smudge of ink on her cheek from where she’d been scribbling notes earlier." | | 5 | "Should have remembered the way he’d left things between them—the way he’d looked at her like she was a puzzle he couldn’t solve, and then walked away." | | 6 | "Something flickered in his eyes—respect, maybe." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 476 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.025210084033613446 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0063025210084033615 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 161 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 161 | | mean | 9.6 | | std | 8.35 | | cv | 0.87 | | sampleLengths | | 0 | 25 | | 1 | 9 | | 2 | 4 | | 3 | 28 | | 4 | 7 | | 5 | 25 | | 6 | 8 | | 7 | 35 | | 8 | 4 | | 9 | 14 | | 10 | 19 | | 11 | 27 | | 12 | 9 | | 13 | 3 | | 14 | 1 | | 15 | 13 | | 16 | 7 | | 17 | 39 | | 18 | 8 | | 19 | 6 | | 20 | 7 | | 21 | 3 | | 22 | 14 | | 23 | 28 | | 24 | 7 | | 25 | 11 | | 26 | 24 | | 27 | 3 | | 28 | 4 | | 29 | 4 | | 30 | 6 | | 31 | 10 | | 32 | 25 | | 33 | 16 | | 34 | 6 | | 35 | 4 | | 36 | 4 | | 37 | 6 | | 38 | 17 | | 39 | 12 | | 40 | 12 | | 41 | 9 | | 42 | 4 | | 43 | 29 | | 44 | 10 | | 45 | 8 | | 46 | 18 | | 47 | 27 | | 48 | 20 | | 49 | 5 |
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| 54.66% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.35403726708074534 | | totalSentences | 161 | | uniqueOpeners | 57 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 109 | | matches | | 0 | "Then the second." | | 1 | "Then the third, because Eva" | | 2 | "Then, with a slow nod," | | 3 | "Instead, he reached into his" | | 4 | "Just enough to remember what" | | 5 | "Then she stepped back." | | 6 | "Then, slowly, he nodded." |
| | ratio | 0.064 | |
| 76.88% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 109 | | matches | | 0 | "She froze, the chipped mug" | | 1 | "She didn’t bother tidying." | | 2 | "She padded to the entrance," | | 3 | "Her breath hitched." | | 4 | "She hadn’t seen him in" | | 5 | "She should have known he’d" | | 6 | "he said, his voice low," | | 7 | "His gaze flicked over her," | | 8 | "She crossed her arms." | | 9 | "His lips quirked, just a" | | 10 | "He was a man of" | | 11 | "He didn’t move immediately." | | 12 | "His heterochromatic eyes studied her," | | 13 | "He moved like a predator" | | 14 | "His gaze lingered on the" | | 15 | "she shot back, but the" | | 16 | "She was too busy watching" | | 17 | "He turned to face her," | | 18 | "she said, more to break" | | 19 | "His voice was dry" |
| | ratio | 0.358 | |
| 70.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 85 | | totalSentences | 109 | | matches | | 0 | "The first knock came just" | | 1 | "She froze, the chipped mug" | | 2 | "Eva had a key, Silas" | | 3 | "The second knock was sharper," | | 4 | "Ptolemy, the tabby cat, uncoiled" | | 5 | "Rory set the mug down" | | 6 | "The flat was a mess—scrolls" | | 7 | "She didn’t bother tidying." | | 8 | "She padded to the entrance," | | 9 | "The distorted fish-eye lens showed" | | 10 | "The other hand was raised," | | 11 | "Her breath hitched." | | 12 | "The name settled in her" | | 13 | "She hadn’t seen him in" | | 14 | "She should have known he’d" | | 15 | "Lucien always found what he" | | 16 | "Rory exhaled, then turned the" | | 17 | "The door swung open, and" | | 18 | "he said, his voice low," | | 19 | "French-accented, but not so much" |
| | ratio | 0.78 | |
| 91.74% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 109 | | matches | | 0 | "Whoever was on the other" | | 1 | "If he was here, it" |
| | ratio | 0.018 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 39 | | technicalSentenceCount | 2 | | matches | | 0 | "His heterochromatic eyes studied her, as if memorizing the new lines around her mouth, the way her scar—just a pale crescent on her left wrist—stood out against…" | | 1 | "A slow smile spread across Lucien’s face, the kind that made her stomach flip." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, his voice low, smooth" | | 1 | "she shot back, but the words lacked heat" | | 2 | "she asked, her voice quieter now" | | 3 | "Lucien said, his voice low," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 2 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "he observed (observe)" |
| | dialogueSentences | 52 | | tagDensity | 0.212 | | leniency | 0.423 | | rawRatio | 0.182 | | effectiveRatio | 0.077 | |