| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.407 | | leniency | 0.815 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1109 | | 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) | |
| 32.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1109 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "trembled" | | 1 | "familiar" | | 2 | "reverberated" | | 3 | "rhythmic" | | 4 | "traced" | | 5 | "vibrated" | | 6 | "flicked" | | 7 | "pulse" | | 8 | "looming" | | 9 | "warmth" | | 10 | "silence" | | 11 | "tension" | | 12 | "intensity" |
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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 | 73 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 73 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1101 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 895 | | uniqueNames | 6 | | maxNameDensity | 0.78 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | London | 2 | | Golden | 1 | | Empress | 1 | | Lucien | 6 | | Rory | 7 |
| | persons | | 0 | "Moreau" | | 1 | "Lucien" | | 2 | "Rory" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like he had just walked out of a L" | | 1 | "smelled like sin" |
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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 | 1101 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 31.46 | | std | 17.89 | | cv | 0.569 | | sampleLengths | | 0 | 41 | | 1 | 17 | | 2 | 17 | | 3 | 60 | | 4 | 9 | | 5 | 43 | | 6 | 10 | | 7 | 43 | | 8 | 69 | | 9 | 17 | | 10 | 3 | | 11 | 45 | | 12 | 50 | | 13 | 58 | | 14 | 25 | | 15 | 21 | | 16 | 48 | | 17 | 36 | | 18 | 12 | | 19 | 43 | | 20 | 5 | | 21 | 17 | | 22 | 42 | | 23 | 30 | | 24 | 40 | | 25 | 40 | | 26 | 34 | | 27 | 3 | | 28 | 49 | | 29 | 44 | | 30 | 35 | | 31 | 4 | | 32 | 36 | | 33 | 8 | | 34 | 47 |
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| 95.65% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 73 | | matches | | 0 | "was slicked" | | 1 | "were piled" | | 2 | "were stacked" | | 3 | "were covered" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 145 | | matches | (empty) | |
| 14.45% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 89 | | ratio | 0.045 | | matches | | 0 | "Not the polite tap of a friend; it was the percussive beat of authority." | | 1 | "Papers were piled on the sofa, ancient scrolls—actual scrolls—were stacked precariously on the coffee table, and the kitchen counters were covered in takeout containers from the Golden Empress." | | 2 | "The sharp scent of him assaulted her senses—the lingering smell of rain, the sharp tang of cigarette smoke, and beneath it, a musk that smelled like sin." | | 3 | "The years of silence, the wondering, the rage—it all dissolved under the gravity of his gaze." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 903 | | adjectiveStacks | 2 | | stackExamples | | 0 | "distorted, green-tinted view" | | 1 | "small crescent-shaped scar" |
| | adverbCount | 27 | | adverbRatio | 0.029900332225913623 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.009966777408637873 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 12.37 | | std | 6.18 | | cv | 0.5 | | sampleLengths | | 0 | 16 | | 1 | 15 | | 2 | 10 | | 3 | 9 | | 4 | 8 | | 5 | 17 | | 6 | 11 | | 7 | 14 | | 8 | 11 | | 9 | 5 | | 10 | 19 | | 11 | 9 | | 12 | 10 | | 13 | 6 | | 14 | 16 | | 15 | 11 | | 16 | 10 | | 17 | 15 | | 18 | 13 | | 19 | 15 | | 20 | 21 | | 21 | 9 | | 22 | 16 | | 23 | 23 | | 24 | 14 | | 25 | 3 | | 26 | 3 | | 27 | 7 | | 28 | 7 | | 29 | 20 | | 30 | 11 | | 31 | 6 | | 32 | 28 | | 33 | 16 | | 34 | 5 | | 35 | 13 | | 36 | 13 | | 37 | 27 | | 38 | 15 | | 39 | 10 | | 40 | 12 | | 41 | 9 | | 42 | 4 | | 43 | 12 | | 44 | 10 | | 45 | 10 | | 46 | 12 | | 47 | 18 | | 48 | 18 | | 49 | 12 |
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| 39.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.24719101123595505 | | totalSentences | 89 | | uniqueOpeners | 22 | |
| 48.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 69 | | matches | | 0 | "Then he reached out, his" |
| | ratio | 0.014 | |
| 22.90% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 69 | | matches | | 0 | "Her chest tightened, a familiar," | | 1 | "She slid the first lock" | | 2 | "she called out, her voice" | | 3 | "She knew that rhythmic knock." | | 4 | "She’d traced the pattern on" | | 5 | "She unhooked the security chain" | | 6 | "He just walked in, filling" | | 7 | "He didn't look like a" | | 8 | "He looked like he had" | | 9 | "His hair was slicked back," | | 10 | "He stepped forward, invading her" | | 11 | "He removed his coat, hanging" | | 12 | "His ivory-handled cane tapped against" | | 13 | "He walked to the kitchen" | | 14 | "His black eye locked onto" | | 15 | "he said, his voice a" | | 16 | "she snapped, crossing her arms" | | 17 | "He reached into his jacket" | | 18 | "He lit a cigarette, the" | | 19 | "She met his gaze, refusing" |
| | ratio | 0.493 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 69 | | matches | | 0 | "The peephole offered a distorted," | | 1 | "Rory’s fingers trembled for a" | | 2 | "Her chest tightened, a familiar," | | 3 | "She slid the first lock" | | 4 | "The third resisted slightly before" | | 5 | "she called out, her voice" | | 6 | "A heavy knock reverberated through" | | 7 | "Rory held her breath, gripping" | | 8 | "She knew that rhythmic knock." | | 9 | "She’d traced the pattern on" | | 10 | "She unhooked the security chain" | | 11 | "The door flew open before" | | 12 | "Lucien Moreau didn't ask to" | | 13 | "He just walked in, filling" | | 14 | "The sound of the door" | | 15 | "Lucien stood there, a slate-grey" | | 16 | "He didn't look like a" | | 17 | "He looked like he had" | | 18 | "His hair was slicked back," | | 19 | "The heterochromatic gaze settled on" |
| | ratio | 0.942 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 73.17% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 4 | | matches | | 0 | "Rory held her breath, gripping the wood with knuckles turning white." | | 1 | "The heterochromatic gaze settled on her, dissecting her appearance as if she were a suspect or a file he had forgotten to delete." | | 2 | "Lucien took a drag of his cigarette, exhaling a plume of grey smoke that drifted over her bent form." | | 3 | "The sharp scent of him assaulted her senses—the lingering smell of rain, the sharp tang of cigarette smoke, and beneath it, a musk that smelled like sin." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 4 | | matches | | 0 | "she called out, her voice sounding far too loud in the small flat" | | 1 | "he said, his voice a low rumble that vibrated in her chest" | | 2 | "she shouted, her voice cracking" | | 3 | "His hand moved, his fingers brushing against the hair at her nape" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 6 | | fancyTags | | 0 | "she called out (call out)" | | 1 | "she snapped (snap)" | | 2 | "he repeated (repeat)" | | 3 | "she shouted (shout)" | | 4 | "she whispered (whisper)" | | 5 | "he murmured (murmur)" |
| | dialogueSentences | 27 | | tagDensity | 0.296 | | leniency | 0.593 | | rawRatio | 0.75 | | effectiveRatio | 0.444 | |