| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "Rory said carefully [carefully]" | | 1 | "Rory said quietly [quietly]" |
| | dialogueSentences | 54 | | tagDensity | 0.278 | | leniency | 0.556 | | rawRatio | 0.133 | | effectiveRatio | 0.074 | |
| 85.38% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1368 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "carefully" | | 2 | "completely" | | 3 | "really" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 19.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1368 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "tracing" | | 1 | "silk" | | 2 | "calculating" | | 3 | "familiar" | | 4 | "flicked" | | 5 | "could feel" | | 6 | "weight" | | 7 | "silence" | | 8 | "stomach" | | 9 | "jaw clenched" | | 10 | "pulse" | | 11 | "quickened" | | 12 | "echoed" | | 13 | "glinting" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 108 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 108 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 147 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 8 | | totalWords | 1358 | | ratio | 0.006 | | matches | | 0 | "Right. We’re leaving." | | 1 | "months" | | 2 | "have" | | 3 | "chose" | | 4 | "life" | | 5 | "everything" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 79 | | wordCount | 1058 | | uniqueNames | 9 | | maxNameDensity | 3.5 | | worstName | "Rory" | | maxWindowNameDensity | 6.5 | | worstWindowName | "Eva" | | discoveredNames | | Raven | 1 | | Nest | 2 | | Golden | 1 | | Empress | 1 | | Rory | 37 | | Eva | 32 | | Evan | 1 | | London | 1 | | Silas | 3 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Rory" | | 3 | "Eva" | | 4 | "Evan" | | 5 | "Silas" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.736 | | wordCount | 1358 | | matches | | 0 | "Not overtly, but she knew" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 147 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 23.02 | | std | 20.01 | | cv | 0.869 | | sampleLengths | | 0 | 86 | | 1 | 53 | | 2 | 50 | | 3 | 9 | | 4 | 7 | | 5 | 33 | | 6 | 77 | | 7 | 3 | | 8 | 10 | | 9 | 15 | | 10 | 51 | | 11 | 18 | | 12 | 15 | | 13 | 29 | | 14 | 6 | | 15 | 79 | | 16 | 15 | | 17 | 7 | | 18 | 14 | | 19 | 58 | | 20 | 7 | | 21 | 10 | | 22 | 4 | | 23 | 34 | | 24 | 5 | | 25 | 22 | | 26 | 3 | | 27 | 34 | | 28 | 6 | | 29 | 50 | | 30 | 26 | | 31 | 19 | | 32 | 42 | | 33 | 5 | | 34 | 6 | | 35 | 48 | | 36 | 24 | | 37 | 4 | | 38 | 21 | | 39 | 16 | | 40 | 8 | | 41 | 4 | | 42 | 30 | | 43 | 6 | | 44 | 9 | | 45 | 19 | | 46 | 19 | | 47 | 4 | | 48 | 42 | | 49 | 10 |
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| 98.77% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 108 | | matches | | 0 | "were caught" | | 1 | "was gone" |
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| 33.33% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 200 | | matches | | 0 | "was sweating" | | 1 | "was going" | | 2 | "was watching" | | 3 | "was holding" | | 4 | "was listening" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 8 | | totalSentences | 147 | | ratio | 0.054 | | matches | | 0 | "But the Nest had a way of holding onto people, like a spider’s silk—sticky, invisible, impossible to shake off once you were caught." | | 1 | "She wore a leather jacket that had seen better days, the sleeves pushed up to reveal forearms mapped with new ink—geometric patterns Rory didn’t recognize." | | 2 | "They were the same—bright, restless, always calculating—but there was something else in them now." | | 3 | "A ghost of the way they used to touch—careless, familiar." | | 4 | "The last time Eva had seen her, she’d been a mess—raw, bleeding, the kind of wreck that only comes from loving someone who enjoys breaking you." | | 5 | "Not overtly, but she knew that look—the way his hazel eyes lingered just a second too long, the way his fingers tightened around the glass he was holding." | | 6 | "But she’d told herself it was better this way—cleaner." | | 7 | "Wanted to say something—anything—that would make this right." |
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| 96.14% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 743 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.04441453566621804 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.008075370121130552 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 147 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 147 | | mean | 9.24 | | std | 7.65 | | cv | 0.828 | | sampleLengths | | 0 | 25 | | 1 | 21 | | 2 | 22 | | 3 | 18 | | 4 | 7 | | 5 | 23 | | 6 | 23 | | 7 | 19 | | 8 | 4 | | 9 | 27 | | 10 | 9 | | 11 | 7 | | 12 | 11 | | 13 | 5 | | 14 | 3 | | 15 | 14 | | 16 | 24 | | 17 | 25 | | 18 | 10 | | 19 | 14 | | 20 | 2 | | 21 | 2 | | 22 | 2 | | 23 | 1 | | 24 | 8 | | 25 | 2 | | 26 | 3 | | 27 | 9 | | 28 | 3 | | 29 | 17 | | 30 | 2 | | 31 | 10 | | 32 | 19 | | 33 | 3 | | 34 | 11 | | 35 | 7 | | 36 | 13 | | 37 | 2 | | 38 | 11 | | 39 | 18 | | 40 | 3 | | 41 | 3 | | 42 | 1 | | 43 | 8 | | 44 | 4 | | 45 | 26 | | 46 | 28 | | 47 | 10 | | 48 | 2 | | 49 | 3 |
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| 49.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.3197278911564626 | | totalSentences | 147 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 98 | | matches | | 0 | "Just a quick drink after" | | 1 | "Then the stool beside her" | | 2 | "Instead, she pushed the gin" | | 3 | "Then she dropped it, shaking" |
| | ratio | 0.041 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 98 | | matches | | 0 | "She hadn’t meant to stay" | | 1 | "She was too busy watching" | | 2 | "She turned her head slowly," | | 3 | "She wore a leather jacket" | | 4 | "They were the same—bright, restless," | | 5 | "She could feel the weight" | | 6 | "She supposed she was." | | 7 | "She’d shown up on Eva’s" | | 8 | "He was watching them, she" | | 9 | "He was listening." | | 10 | "She cut herself off, shaking" | | 11 | "She made a cutting motion" | | 12 | "She didn’t look at him." | | 13 | "She took a breath, steadying" | | 14 | "She had known, on some" | | 15 | "She wanted to reach for" | | 16 | "She reached into her jacket" | | 17 | "She deserved them." | | 18 | "He moved away, leaving Rory" |
| | ratio | 0.194 | |
| 51.84% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 98 | | matches | | 0 | "The Raven’s Nest hummed with" | | 1 | "The green neon sign outside" | | 2 | "Rory leaned against the bar," | | 3 | "The glass was sweating, just" | | 4 | "She hadn’t meant to stay" | | 5 | "The door creaked open, letting" | | 6 | "Rory didn’t look up." | | 7 | "She was too busy watching" | | 8 | "The voice was deeper than" | | 9 | "Rory’s fingers stilled." | | 10 | "She turned her head slowly," | | 11 | "Eva stood there, her dark" | | 12 | "She wore a leather jacket" | | 13 | "They were the same—bright, restless," | | 14 | "Eva smirked, but it didn’t" | | 15 | "Rory didn’t answer." | | 16 | "Eva took the glass, her" | | 17 | "A ghost of the way" | | 18 | "Eva knocked back the rest" | | 19 | "Rory laughed, but it sounded" |
| | ratio | 0.816 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 98 | | matches | (empty) | | ratio | 0 | |
| 73.17% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 4 | | matches | | 0 | "Eva stood there, her dark curls shorter now, cropped close to her scalp in a way that made her sharp cheekbones look even sharper." | | 1 | "She wore a leather jacket that had seen better days, the sleeves pushed up to reveal forearms mapped with new ink—geometric patterns Rory didn’t recognize." | | 2 | "But it was her eyes that made Rory’s breath catch." | | 3 | "The last time Eva had seen her, she’d been a mess—raw, bleeding, the kind of wreck that only comes from loving someone who enjoys breaking you." |
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| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "Eva leaned in, her voice dropping" | | 1 | "Eva lit, the flare of the lighter casting shadows under her eyes" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 54 | | tagDensity | 0.037 | | leniency | 0.074 | | rawRatio | 0 | | effectiveRatio | 0 | |