| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 81.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1339 | | totalAiIsmAdverbs | 5 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | |
| | highlights | | 0 | "deliberately" | | 1 | "suddenly" | | 2 | "very" | | 3 | "really" | | 4 | "slightly" |
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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) | |
| 62.66% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1339 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "familiar" | | 1 | "stark" | | 2 | "stomach" | | 3 | "weight" | | 4 | "effortless" | | 5 | "flicker" | | 6 | "silence" | | 7 | "tracing" | | 8 | "sentinel" | | 9 | "chaotic" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 101 | | matches | | |
| 86.28% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 0 | | narrationSentences | 101 | | filterMatches | | 0 | "look" | | 1 | "think" | | 2 | "know know" |
| | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 58 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1334 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 7 | | matches | | 0 | "You look terrible, Carter, he said, his voice a low, smooth baritone with just the barest rasp of a Marseille accent." | | 1 | "You have some nerve showing up here, she said, her voice dropping an octave, steady and sharp." | | 2 | "I did not play a game, he said quietly, the lightness draining entirely from his tone." | | 3 | "Traitor, Aurora muttered, closing and double-locking the door behind him." | | 4 | "You have good taste in cats, Lucien said, not looking back as he straightened up and surveyed the chaotic sea of scrolls…" | | 5 | "Shut up and make yourself useful, she said, marching past him toward the tiny kitchenette." | | 6 | "Coffee, he said, his voice softening just enough to make her chest ache." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 48 | | wordCount | 1334 | | uniqueNames | 15 | | maxNameDensity | 0.67 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Brick | 2 | | Lane | 2 | | Carter | 1 | | Marseille | 3 | | Moreau | 2 | | London | 1 | | Cardiff | 3 | | Lucien | 9 | | Evan | 1 | | Aurora | 7 | | Parisian | 1 | | Ptolemy | 3 | | Rory | 3 | | Avaros | 1 | | You | 9 |
| | persons | | 0 | "Carter" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Evan" | | 4 | "Aurora" | | 5 | "Rory" | | 6 | "You" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Marseille" | | 3 | "London" | | 4 | "Cardiff" | | 5 | "Ptolemy" | | 6 | "Avaros" |
| | globalScore | 1 | | windowScore | 1 | |
| 79.58% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed almost aggressive against the bohemian squalor of the building" | | 1 | "looked like you were enjoying yourself, s" |
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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 | 1334 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 101 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 31.02 | | std | 20.11 | | cv | 0.648 | | sampleLengths | | 0 | 46 | | 1 | 6 | | 2 | 83 | | 3 | 8 | | 4 | 21 | | 5 | 38 | | 6 | 23 | | 7 | 30 | | 8 | 61 | | 9 | 21 | | 10 | 26 | | 11 | 26 | | 12 | 58 | | 13 | 2 | | 14 | 37 | | 15 | 4 | | 16 | 81 | | 17 | 25 | | 18 | 52 | | 19 | 25 | | 20 | 4 | | 21 | 70 | | 22 | 30 | | 23 | 21 | | 24 | 26 | | 25 | 42 | | 26 | 39 | | 27 | 27 | | 28 | 30 | | 29 | 18 | | 30 | 27 | | 31 | 68 | | 32 | 11 | | 33 | 12 | | 34 | 42 | | 35 | 38 | | 36 | 13 | | 37 | 40 | | 38 | 32 | | 39 | 15 | | 40 | 12 | | 41 | 7 | | 42 | 37 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 101 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 238 | | matches | | |
| 1.41% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 101 | | ratio | 0.05 | | matches | | 0 | "His slicked-back platinum blond hair caught the harsh overhead bulb, and when he looked down at her, his mismatched eyes did that slow, familiar sweep—one amber, one stark, bottomless black." | | 1 | "Lucien didn't push back; he simply held his ground, his fingers resting casually on the wood." | | 2 | "The proximity brought his scent rushing over her—clean wool, leather, and the hot, metallic undertone that always betrayed his demon blood when his heart rate spiked." | | 3 | "I gave up everything to get away from people who thought they could manage my life—Evan, my father, and then you." | | 4 | "But looking at him—really looking at him—she saw the faint, pale line of a healing slash across his jawline, a new scar she hadn't seen in Marseille, and she knew the danger was real." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1346 | | adjectiveStacks | 2 | | stackExamples | | 0 | "dim, amber-lit hallway," | | 1 | "small crescent-shaped scar" |
| | adverbCount | 43 | | adverbRatio | 0.03194650817236255 | | lyAdverbCount | 22 | | lyAdverbRatio | 0.01634472511144131 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 13.21 | | std | 10.27 | | cv | 0.778 | | sampleLengths | | 0 | 18 | | 1 | 28 | | 2 | 6 | | 3 | 20 | | 4 | 33 | | 5 | 30 | | 6 | 8 | | 7 | 21 | | 8 | 16 | | 9 | 11 | | 10 | 11 | | 11 | 5 | | 12 | 18 | | 13 | 4 | | 14 | 3 | | 15 | 8 | | 16 | 15 | | 17 | 3 | | 18 | 37 | | 19 | 21 | | 20 | 17 | | 21 | 2 | | 22 | 2 | | 23 | 3 | | 24 | 3 | | 25 | 14 | | 26 | 6 | | 27 | 1 | | 28 | 1 | | 29 | 2 | | 30 | 18 | | 31 | 4 | | 32 | 16 | | 33 | 16 | | 34 | 26 | | 35 | 1 | | 36 | 1 | | 37 | 4 | | 38 | 33 | | 39 | 4 | | 40 | 5 | | 41 | 16 | | 42 | 16 | | 43 | 5 | | 44 | 18 | | 45 | 21 | | 46 | 25 | | 47 | 16 | | 48 | 11 | | 49 | 18 |
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| 63.04% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.42574257425742573 | | totalSentences | 101 | | uniqueOpeners | 43 | |
| 36.23% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 92 | | matches | | 0 | "Only my friends call me" |
| | ratio | 0.011 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 92 | | matches | | 0 | "He looked entirely out of" | | 1 | "His slicked-back platinum blond hair" | | 2 | "You look terrible, Carter, he" | | 3 | "She leaned her shoulder against" | | 4 | "It is past midnight, Moreau." | | 5 | "I am not lurking." | | 6 | "I am standing." | | 7 | "Her jaw tightened." | | 8 | "She had spent the last" | | 9 | "You have some nerve showing" | | 10 | "He never flinched." | | 11 | "He shifted his weight onto" | | 12 | "I had business in the" | | 13 | "She gave a dry, humorless" | | 14 | "I survived, didn't I?" | | 15 | "Her temper flared, hot and" | | 16 | "She stepped closer, invading his" | | 17 | "You made a choice, Lucien." | | 18 | "You played your little game," | | 19 | "I gave up everything to" |
| | ratio | 0.5 | |
| 63.26% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 92 | | matches | | 0 | "The third deadbolt always stuck," | | 1 | "Aurora yanked the door inward," | | 2 | "The words died in her" | | 3 | "Lucien stood in the dim," | | 4 | "He looked entirely out of" | | 5 | "His slicked-back platinum blond hair" | | 6 | "Neither of them moved for" | | 7 | "You look terrible, Carter, he" | | 8 | "Aurora crossed her arms, her" | | 9 | "The defensive posture felt foolish," | | 10 | "She leaned her shoulder against" | | 11 | "It is past midnight, Moreau." | | 12 | "Some of us actually work" | | 13 | "I am not lurking." | | 14 | "I am standing." | | 15 | "Her jaw tightened." | | 16 | "She had spent the last" | | 17 | "You have some nerve showing" | | 18 | "Lucien didn't flinch." | | 19 | "He never flinched." |
| | ratio | 0.793 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 92 | | matches | | 0 | "Though from the dark circles" | | 1 | "To protect her hard-won peace." | | 2 | "If you touch my books," |
| | ratio | 0.033 | |
| 55.14% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 7 | | matches | | 0 | "Lucien stood in the dim, amber-lit hallway, framed by peeling floral wallpaper that smelled perpetually of turmeric and damp wool." | | 1 | "He looked entirely out of place and yet devastatingly inevitable, draped in his usual charcoal suit, the fabric cut with a precision that seemed almost aggressi…" | | 2 | "You have some nerve showing up here, she said, her voice dropping an octave, steady and sharp." | | 3 | "I gave up everything to get away from people who thought they could manage my life—Evan, my father, and then you." | | 4 | "You looked like you were enjoying yourself, she shot back, though the venom had drained out of her voice, leaving only a hollow, aching exhaustion." | | 5 | "There’s instant coffee, or I can steep some tea that tastes like old cardboard." | | 6 | "She just stared at the flickering blue flame of the gas burner, her hands trembling slightly as she gripped the counter, wishing she hated him half as much as s…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |