| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "She gestured vaguely [vaguely]" |
| | dialogueSentences | 28 | | tagDensity | 0.321 | | leniency | 0.643 | | rawRatio | 0.111 | | effectiveRatio | 0.071 | |
| 78.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 701 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "really" | | 1 | "suddenly" | | 2 | "very" |
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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) | |
| 42.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 701 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "familiar" | | 1 | "etching" | | 2 | "weight" | | 3 | "flicked" | | 4 | "scanning" | | 5 | "unreadable" | | 6 | "throbbed" |
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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 | 47 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 47 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 66 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 696 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.24% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 558 | | uniqueNames | 6 | | maxNameDensity | 1.08 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Blackwood | 1 | | Golden | 1 | | Empress | 1 | | Raven | 2 | | Nest | 2 | | Silas | 6 |
| | persons | | 0 | "Blackwood" | | 1 | "Empress" | | 2 | "Raven" | | 3 | "Nest" | | 4 | "Silas" |
| | places | (empty) | | globalScore | 0.962 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 39 | | glossingSentenceCount | 3 | | matches | | 0 | "tasted like old smoke" | | 1 | "looked like they’d sell their grandmother" | | 2 | "tasted like regret and possibility, bitte" |
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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 | 696 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 22.45 | | std | 15.95 | | cv | 0.71 | | sampleLengths | | 0 | 40 | | 1 | 18 | | 2 | 69 | | 3 | 16 | | 4 | 34 | | 5 | 44 | | 6 | 15 | | 7 | 20 | | 8 | 18 | | 9 | 50 | | 10 | 5 | | 11 | 3 | | 12 | 14 | | 13 | 2 | | 14 | 7 | | 15 | 22 | | 16 | 18 | | 17 | 22 | | 18 | 16 | | 19 | 2 | | 20 | 48 | | 21 | 10 | | 22 | 27 | | 23 | 46 | | 24 | 19 | | 25 | 11 | | 26 | 12 | | 27 | 37 | | 28 | 16 | | 29 | 24 | | 30 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 47 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 87 | | matches | (empty) | |
| 56.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 66 | | ratio | 0.03 | | matches | | 0 | "The auburn in his beard was more grey than she remembered, and that slight limp—new, or had she just never noticed it?" | | 1 | "The air still smelled of aged wood and something sharper—gun oil, maybe, or the ghost of a thousand whispered secrets." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 563 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.037300177619893425 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.007104795737122558 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 66 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 66 | | mean | 10.55 | | std | 6.6 | | cv | 0.626 | | sampleLengths | | 0 | 21 | | 1 | 19 | | 2 | 13 | | 3 | 5 | | 4 | 3 | | 5 | 19 | | 6 | 22 | | 7 | 25 | | 8 | 10 | | 9 | 6 | | 10 | 8 | | 11 | 16 | | 12 | 10 | | 13 | 2 | | 14 | 4 | | 15 | 27 | | 16 | 11 | | 17 | 8 | | 18 | 7 | | 19 | 16 | | 20 | 4 | | 21 | 15 | | 22 | 3 | | 23 | 5 | | 24 | 25 | | 25 | 20 | | 26 | 5 | | 27 | 3 | | 28 | 10 | | 29 | 4 | | 30 | 2 | | 31 | 7 | | 32 | 13 | | 33 | 9 | | 34 | 6 | | 35 | 9 | | 36 | 3 | | 37 | 19 | | 38 | 3 | | 39 | 10 | | 40 | 6 | | 41 | 2 | | 42 | 21 | | 43 | 17 | | 44 | 10 | | 45 | 6 | | 46 | 4 | | 47 | 3 | | 48 | 15 | | 49 | 9 |
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| 74.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.48484848484848486 | | totalSentences | 66 | | uniqueOpeners | 32 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 44 | | matches | | 0 | "Instead, he reached under the" | | 1 | "Somewhere in the bar, a" |
| | ratio | 0.045 | |
| 92.73% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 44 | | matches | | 0 | "She looked up." | | 1 | "she said, and the name" | | 2 | "He nodded toward the stool" | | 3 | "She slid onto the stool," | | 4 | "She swirled the whiskey, watching" | | 5 | "He leaned against the bar," | | 6 | "She gestured vaguely at his" | | 7 | "He exhaled through his nose," | | 8 | "She took a sip of" | | 9 | "His gaze flicked to the" | | 10 | "She set the glass down" | | 11 | "He gave a curt nod" | | 12 | "She should have left." | | 13 | "He poured himself a drink," |
| | ratio | 0.318 | |
| 28.18% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 44 | | matches | | 0 | "The glass slipped from her" | | 1 | "The ice cubes clinked against" | | 2 | "Silas Blackwood said, his voice" | | 3 | "She looked up." | | 4 | "The years had carved deeper" | | 5 | "The auburn in his beard" | | 6 | "The signet ring glinted as" | | 7 | "she said, and the name" | | 8 | "A ghost of a smile" | | 9 | "He nodded toward the stool" | | 10 | "That was the problem." | | 11 | "The Golden Empress’s delivery shift" | | 12 | "She slid onto the stool," | | 13 | "Silas poured her another drink," | | 14 | "She swirled the whiskey, watching" | | 15 | "He leaned against the bar," | | 16 | "The Raven’s Nest hadn’t changed." | | 17 | "The air still smelled of" | | 18 | "She gestured vaguely at his" | | 19 | "He exhaled through his nose," |
| | ratio | 0.864 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 1 | | matches | | 0 | "A man in a long coat slipped inside, his eyes scanning the room before landing on Silas." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 3 | | matches | | 0 | "Silas Blackwood said, his voice rough as gravel under boot soles" | | 1 | "she said, and the name tasted like old smoke" | | 2 | "He leaned, his fingers brushing the signet ring" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0 | | effectiveRatio | 0 | |