| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 2 | | adverbTags | | 0 | "he said quietly [quietly]" | | 1 | "He leaned back [back]" |
| | dialogueSentences | 47 | | tagDensity | 0.404 | | leniency | 0.809 | | rawRatio | 0.105 | | effectiveRatio | 0.085 | |
| 83.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1238 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "carefully" |
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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) | |
| 71.73% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1238 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "flickered" | | 1 | "gloom" | | 2 | "etched" | | 3 | "unspoken" | | 4 | "reminder" | | 5 | "flicked" | | 6 | "unreadable" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 94 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 94 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 120 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 11 | | markdownWords | 32 | | totalWords | 1223 | | ratio | 0.026 | | matches | | 0 | "The Raven’s Nest" | | 1 | "had" | | 2 | "here" | | 3 | "Not in London. Not in the life you knew." | | 4 | "I just needed space" | | 5 | "I couldn’t handle it anymore" | | 6 | "June 12, 2008. Your graduation." | | 7 | "stay" | | 8 | "felt" | | 9 | "alive" | | 10 | "want" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 992 | | uniqueNames | 7 | | maxNameDensity | 0.71 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | London | 4 | | Carter | 1 | | Rory | 1 | | Blackwood | 1 | | Silas | 7 | | Evan | 1 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Rory" | | 3 | "Blackwood" | | 4 | "Silas" | | 5 | "Evan" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 63.79% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like Silas" | | 1 | "felt like it was holding its breath" |
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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 | 1223 | | matches | (empty) | |
| 83.33% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 120 | | matches | | 0 | "remembered that girl" | | 1 | "be that person" | | 2 | "make, that she" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 26.59 | | std | 22.49 | | cv | 0.846 | | sampleLengths | | 0 | 101 | | 1 | 71 | | 2 | 4 | | 3 | 68 | | 4 | 34 | | 5 | 12 | | 6 | 9 | | 7 | 24 | | 8 | 19 | | 9 | 12 | | 10 | 46 | | 11 | 14 | | 12 | 19 | | 13 | 20 | | 14 | 27 | | 15 | 19 | | 16 | 26 | | 17 | 8 | | 18 | 7 | | 19 | 32 | | 20 | 5 | | 21 | 13 | | 22 | 29 | | 23 | 75 | | 24 | 9 | | 25 | 7 | | 26 | 10 | | 27 | 19 | | 28 | 23 | | 29 | 75 | | 30 | 3 | | 31 | 25 | | 32 | 13 | | 33 | 26 | | 34 | 25 | | 35 | 10 | | 36 | 18 | | 37 | 43 | | 38 | 60 | | 39 | 4 | | 40 | 34 | | 41 | 37 | | 42 | 56 | | 43 | 7 | | 44 | 8 | | 45 | 17 |
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| 97.80% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 94 | | matches | | 0 | "been taken" | | 1 | "was scrawled" |
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| 48.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 176 | | matches | | 0 | "was standing" | | 1 | "was drowning" | | 2 | "was holding" | | 3 | "wasn’t running" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 0 | | flaggedSentences | 14 | | totalSentences | 120 | | ratio | 0.117 | | matches | | 0 | "Inside, the air smelled of aged whiskey and something older—dust, leather, the faint metallic tang of a hundred unwashed glasses." | | 1 | "The patrons were a mix of the usual—traders in pinstripe suits, artists with ink-stained fingers, a few weary-looking men who might have been soldiers or spies or both." | | 2 | "Aurora Carter—Rory to her friends, though she hadn’t had many of those lately—leaned against the bar, nursing a glass of something amber and bitter." | | 3 | "He was older, of course—time had etched lines around his eyes, deepened the faint scar on his jaw she’d never noticed before." | | 4 | "Instead, she slid onto the stool beside him, close enough to catch the scent of his cologne—something woody, something old." | | 5 | "Not in the life you knew.* She exhaled through her nose, rubbing her thumb over the scar on her wrist—the one that had always been a reminder of the girl she’d been before she learned to run." | | 6 | "“Never forget.” His gaze flicked to something behind her—an old habit, she realized." | | 7 | "It was a photograph—yellowed at the edges, the kind that had been taken in a darkroom." | | 8 | "She remembered that girl—the one who had argued with professors, who had stayed up all night researching cases, who had believed in justice with a fierce, reckless optimism." | | 9 | "She remembered the way she’d *felt*—like she was drowning, and the only way out was to swim for the surface, no matter how dark the water." | | 10 | "She looked down at the photograph again, at the girl in it—so sure, so *alive*." | | 11 | "She wanted to tell him she was still the same—still afraid, still broken." | | 12 | "She looked around the bar—the same old maps, the same worn leather booths, the same quiet dignity in Silas’s presence." | | 13 | "And for the first time in years, she let herself believe that maybe—just maybe—she wasn’t running anymore." |
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| 95.27% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1013 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 46 | | adverbRatio | 0.045409674234945706 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007897334649555774 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 120 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 120 | | mean | 10.19 | | std | 7.52 | | cv | 0.738 | | sampleLengths | | 0 | 24 | | 1 | 20 | | 2 | 29 | | 3 | 28 | | 4 | 24 | | 5 | 17 | | 6 | 4 | | 7 | 19 | | 8 | 7 | | 9 | 4 | | 10 | 27 | | 11 | 22 | | 12 | 11 | | 13 | 1 | | 14 | 1 | | 15 | 6 | | 16 | 5 | | 17 | 4 | | 18 | 5 | | 19 | 20 | | 20 | 12 | | 21 | 4 | | 22 | 5 | | 23 | 19 | | 24 | 5 | | 25 | 15 | | 26 | 4 | | 27 | 6 | | 28 | 6 | | 29 | 6 | | 30 | 3 | | 31 | 37 | | 32 | 14 | | 33 | 15 | | 34 | 4 | | 35 | 17 | | 36 | 3 | | 37 | 13 | | 38 | 7 | | 39 | 7 | | 40 | 8 | | 41 | 7 | | 42 | 4 | | 43 | 13 | | 44 | 13 | | 45 | 5 | | 46 | 3 | | 47 | 5 | | 48 | 2 | | 49 | 4 |
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| 36.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.30833333333333335 | | totalSentences | 120 | | uniqueOpeners | 37 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 86 | | matches | | 0 | "Then she saw him." | | 1 | "Instead, she slid onto the" | | 2 | "Then he turned back, his" | | 3 | "Instead, she said," | | 4 | "Then, slowly, he reached into" | | 5 | "Then, slowly, he smiled." | | 6 | "Somewhere in the distance, a" |
| | ratio | 0.081 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 86 | | matches | | 0 | "She hadn’t been back to" | | 1 | "She’d thought she’d left it" | | 2 | "He was older, of course—time" | | 3 | "She should have walked away." | | 4 | "She *had* walked away." | | 5 | "he said, his voice rougher" | | 6 | "She ignored the comment." | | 7 | "He took a slow sip" | | 8 | "She swirled the whiskey in" | | 9 | "He set the glass down" | | 10 | "she said, because it was" | | 11 | "He studied her for a" | | 12 | "She lifted her wrist, turning" | | 13 | "His gaze flicked to something" | | 14 | "She tightened her grip on" | | 15 | "He leaned forward, resting his" | | 16 | "She laughed, sharp and humorless." | | 17 | "He tilted his head" | | 18 | "She should have lied." | | 19 | "She should have said *I" |
| | ratio | 0.581 | |
| 76.28% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 86 | | matches | | 0 | "The green neon sign of" | | 1 | "The bar itself was a" | | 2 | "The patrons were a mix" | | 3 | "Aurora Carter—Rory to her friends," | | 4 | "She hadn’t been back to" | | 5 | "The city had changed." | | 6 | "The streets were wider now," | | 7 | "She’d thought she’d left it" | | 8 | "Silas Blackwood sat in his" | | 9 | "He was older, of course—time" | | 10 | "She should have walked away." | | 11 | "She *had* walked away." | | 12 | "he said, his voice rougher" | | 13 | "She ignored the comment." | | 14 | "He took a slow sip" | | 15 | "She swirled the whiskey in" | | 16 | "He set the glass down" | | 17 | "The unspoken words hung between" | | 18 | "she said, because it was" | | 19 | "He studied her for a" |
| | ratio | 0.767 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 34.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 5 | | matches | | 0 | "The bar itself was a relic of another era, its walls lined with yellowed maps and black-and-white photographs of men and women who had long since faded into his…" | | 1 | "The patrons were a mix of the usual—traders in pinstripe suits, artists with ink-stained fingers, a few weary-looking men who might have been soldiers or spies …" | | 2 | "But it was the way he held himself that stopped her." | | 3 | "She was standing in front of a building she didn’t recognize, her arm around a man who looked like Silas." | | 4 | "She remembered that girl—the one who had argued with professors, who had stayed up all night researching cases, who had believed in justice with a fierce, reckl…" |
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| 19.74% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 4 | | matches | | 0 | "he said, his voice rougher than she remembered" | | 1 | "She swirled, the ice clinking against the sides" | | 2 | "she said, her voice raw" | | 3 | "He leaned back, his expression softening" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 47 | | tagDensity | 0.149 | | leniency | 0.298 | | rawRatio | 0 | | effectiveRatio | 0 | |