| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "She stepped back [back]" |
| | dialogueSentences | 33 | | tagDensity | 0.485 | | leniency | 0.97 | | rawRatio | 0.063 | | effectiveRatio | 0.061 | |
| 83.57% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1522 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "really" | | 3 | "utterly" |
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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) | |
| 14.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1522 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "vibrated" | | 1 | "rhythmic" | | 2 | "gloom" | | 3 | "anticipation" | | 4 | "velvet" | | 5 | "lilt" | | 6 | "unsettled" | | 7 | "reminder" | | 8 | "silence" | | 9 | "variable" | | 10 | "familiar" | | 11 | "tension" | | 12 | "marble" | | 13 | "sanctuary" | | 14 | "racing" | | 15 | "perfect" | | 16 | "chaotic" | | 17 | "amidst" | | 18 | "fleeting" | | 19 | "pulse" | | 20 | "weight" |
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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 | 79 | | matches | (empty) | |
| 16.27% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 6 | | narrationSentences | 79 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1512 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 1112 | | uniqueNames | 9 | | maxNameDensity | 0.63 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Brick | 2 | | Lane | 2 | | Eva | 2 | | Moreau | 1 | | London | 1 | | Marseille | 1 | | Ptolemy | 1 | | Lucien | 6 | | Rory | 7 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Rory" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "London" | | 3 | "Marseille" |
| | globalScore | 1 | | windowScore | 1 | |
| 70.63% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like it was tilting" | | 1 | "felt like it could melt the very founda" |
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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 | 1512 | | matches | (empty) | |
| 97.22% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 96 | | matches | | 0 | "recognize that silhouette" | | 1 | "realized that the" |
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| 84.26% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 47.25 | | std | 21.02 | | cv | 0.445 | | sampleLengths | | 0 | 64 | | 1 | 63 | | 2 | 47 | | 3 | 42 | | 4 | 72 | | 5 | 28 | | 6 | 51 | | 7 | 52 | | 8 | 44 | | 9 | 27 | | 10 | 60 | | 11 | 37 | | 12 | 36 | | 13 | 106 | | 14 | 36 | | 15 | 29 | | 16 | 56 | | 17 | 42 | | 18 | 50 | | 19 | 10 | | 20 | 68 | | 21 | 38 | | 22 | 27 | | 23 | 64 | | 24 | 26 | | 25 | 48 | | 26 | 42 | | 27 | 52 | | 28 | 15 | | 29 | 72 | | 30 | 16 | | 31 | 92 |
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| 96.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 79 | | matches | | 0 | "was slicked" | | 1 | "been left" |
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| 52.67% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 181 | | matches | | 0 | "was tilting" | | 1 | "was slipping" | | 2 | "was standing" | | 3 | "was betraying" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 11 | | semicolonCount | 1 | | flaggedSentences | 9 | | totalSentences | 96 | | ratio | 0.094 | | matches | | 0 | "Even in the gloom, the posture was unmistakable—the rigid, aristocratic spine of a man who refused to acknowledge the concept of chaos." | | 1 | "The heterochromia—one amber, one a bottomless black—always unsettled her, a visual reminder of the half-demon blood that ran through his veins and the complicated, dangerous world he occupied." | | 2 | "She couldn't help it; she opened the door wide, inviting the storm inside." | | 3 | "The scent of him—expensive sandalwood, rain, and something metallic that she knew was his unnatural essence—filled the room, clashing with the lingering smell of turmeric and old paper." | | 4 | "A shadow of something—was it pity or disdain?—passed over his features." | | 5 | "They had been a collision of worlds—the girl trying to outrun a bruised past and a man who lived in the shadows of everyone else's secrets." | | 6 | "\"It is perfect,\" he said, a ghost of a smile touching his mouth—the first real emotion she had seen from him all night." | | 7 | "Rory looked at him—really looked at him." | | 8 | "As he passed her, his hand brushed hers—a fleeting, accidental contact that sent a jolt of electricity through her entire body." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1129 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small, crescent-shaped scar" | | 1 | "ancient, leather-bound scrolls" |
| | adverbCount | 38 | | adverbRatio | 0.03365810451727192 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.010628875110717449 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 15.75 | | std | 9.25 | | cv | 0.587 | | sampleLengths | | 0 | 19 | | 1 | 11 | | 2 | 4 | | 3 | 28 | | 4 | 1 | | 5 | 1 | | 6 | 23 | | 7 | 16 | | 8 | 24 | | 9 | 9 | | 10 | 16 | | 11 | 22 | | 12 | 6 | | 13 | 3 | | 14 | 15 | | 15 | 18 | | 16 | 30 | | 17 | 23 | | 18 | 19 | | 19 | 3 | | 20 | 25 | | 21 | 13 | | 22 | 15 | | 23 | 13 | | 24 | 10 | | 25 | 12 | | 26 | 12 | | 27 | 28 | | 28 | 13 | | 29 | 13 | | 30 | 18 | | 31 | 9 | | 32 | 14 | | 33 | 4 | | 34 | 23 | | 35 | 9 | | 36 | 28 | | 37 | 18 | | 38 | 11 | | 39 | 8 | | 40 | 14 | | 41 | 22 | | 42 | 15 | | 43 | 26 | | 44 | 37 | | 45 | 28 | | 46 | 5 | | 47 | 11 | | 48 | 20 | | 49 | 9 |
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| 48.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.34375 | | totalSentences | 96 | | uniqueOpeners | 33 | |
| 90.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 74 | | matches | | 0 | "Then the second." | | 1 | "Instead, she turned and walked" |
| | ratio | 0.027 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 74 | | matches | | 0 | "It was nearly midnight." | | 1 | "She set the toast down" | | 2 | "It was a nervous habit," | | 3 | "She crossed the cramped living" | | 4 | "She slid the first deadbolt" | | 5 | "Her heart hammered a frantic" | | 6 | "His tailored charcoal suit was" | | 7 | "He held his ivory-handled cane" | | 8 | "His voice was a low," | | 9 | "she said, her voice steadier" | | 10 | "She didn't step back to" | | 11 | "She simply stood there, a" | | 12 | "He tilted his head slightly," | | 13 | "She stepped back, her frustration" | | 14 | "She couldn't help it; she" | | 15 | "he interrupted, stepping into the" | | 16 | "He moved with a predatory" | | 17 | "she snapped, closing the door" | | 18 | "They had been a collision" | | 19 | "He had left, and she" |
| | ratio | 0.581 | |
| 20.81% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 74 | | matches | | 0 | "The heavy thud of a" | | 1 | "Rory froze, a half-eaten piece" | | 2 | "It was nearly midnight." | | 3 | "She set the toast down" | | 4 | "It was a nervous habit," | | 5 | "She crossed the cramped living" | | 6 | "Rory reached the door and" | | 7 | "The hallway light was dim," | | 8 | "She slid the first deadbolt" | | 9 | "Her heart hammered a frantic" | | 10 | "Lucien Moreau stood in the" | | 11 | "His tailored charcoal suit was" | | 12 | "He held his ivory-handled cane" | | 13 | "His voice was a low," | | 14 | "she said, her voice steadier" | | 15 | "She didn't step back to" | | 16 | "She simply stood there, a" | | 17 | "He tilted his head slightly," | | 18 | "The heterochromia—one amber, one a" | | 19 | "She stepped back, her frustration" |
| | ratio | 0.878 | |
| 67.57% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 74 | | matches | | 0 | "Even in the gloom, the" |
| | ratio | 0.014 | |
| 15.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 8 | | matches | | 0 | "Even in the gloom, the posture was unmistakable—the rigid, aristocratic spine of a man who refused to acknowledge the concept of chaos." | | 1 | "Lucien Moreau stood in the narrow corridor, looking less like a man who had traveled across London and more like a man who had stepped out of a high-end editori…" | | 2 | "He moved with a predatory grace that made the cramped space feel even smaller." | | 3 | "They had been a collision of worlds—the girl trying to outrun a bruised past and a man who lived in the shadows of everyone else's secrets." | | 4 | "There had been a heat between them that felt like it could melt the very foundations of the city, followed by a sudden, freezing fracture when his obligations t…" | | 5 | "He was a man who lived his life in a state of permanent performance, and for once, the mask was cracked." | | 6 | "As he passed her, his hand brushed hers—a fleeting, accidental contact that sent a jolt of electricity through her entire body." | | 7 | "She didn't pull away immediately, and for a heartbeat, they stood in the narrow space between the door and the books, two broken pieces of a puzzle that had nev…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 7 | | matches | | 0 | "she said, her voice steadier than she felt" | | 1 | "She stepped back, her frustration overriding her caution" | | 2 | "Rory said, her jaw tightening" | | 3 | "he said, his voice dropping an octave" | | 4 | "she whispered, though the word lacked its usual bite" | | 5 | "she countered, her voice trembling" | | 6 | "she said, her mind racing" |
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| 28.79% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 4 | | fancyTags | | 0 | "he interrupted (interrupt)" | | 1 | "she snapped (snap)" | | 2 | "she whispered (whisper)" | | 3 | "he murmured (murmur)" |
| | dialogueSentences | 33 | | tagDensity | 0.394 | | leniency | 0.788 | | rawRatio | 0.308 | | effectiveRatio | 0.242 | |