| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said softly [softly]" |
| | dialogueSentences | 34 | | tagDensity | 0.529 | | leniency | 1 | | rawRatio | 0.056 | | effectiveRatio | 0.056 | |
| 67.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1090 | | totalAiIsmAdverbs | 7 | | found | | 0 | | | 1 | | | 2 | | | 3 | | adverb | "barely above a whisper" | | count | 2 |
| | 4 | |
| | highlights | | 0 | "softly" | | 1 | "really" | | 2 | "gently" | | 3 | "barely above a whisper" | | 4 | "truly" |
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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) | |
| 8.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1090 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "testament" | | 1 | "echoing" | | 2 | "intensity" | | 3 | "comforting" | | 4 | "stark" | | 5 | "pang" | | 6 | "eyebrow" | | 7 | "silence" | | 8 | "unreadable" | | 9 | "weight" | | 10 | "solace" | | 11 | "whisper" | | 12 | "unraveling" | | 13 | "sense of" | | 14 | "flicker" | | 15 | "warmth" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "flicker of emotion" | | count | 1 |
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| | highlights | | |
| 69.44% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 5 | | narrationSentences | 75 | | matches | | 0 | "a surge of frustration" | | 1 | "felt a lump" | | 2 | "a sense of relief" | | 3 | "a flicker of hope" | | 4 | "felt hopeful" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 91 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1088 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 96.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 926 | | uniqueNames | 6 | | maxNameDensity | 1.08 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Eva" | | discoveredNames | | Carter | 1 | | Eva | 5 | | Ptolemy | 4 | | Lucien | 8 | | Moreau | 1 | | Aurora | 10 |
| | persons | | 0 | "Carter" | | 1 | "Eva" | | 2 | "Ptolemy" | | 3 | "Lucien" | | 4 | "Moreau" | | 5 | "Aurora" |
| | places | (empty) | | globalScore | 0.96 | | windowScore | 1 | |
| 38.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 3 | | matches | | 0 | "quite shaken" | | 1 | "quite place" | | 2 | "felt like hours, unraveling the tangled" |
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| 16.18% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.838 | | wordCount | 1088 | | matches | | 0 | "not Eva, but Lucien Moreau" | | 1 | "not as the man who had hurt her, but as the man who had once been her closest confidant, her part" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 91 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 25.3 | | std | 16.42 | | cv | 0.649 | | sampleLengths | | 0 | 81 | | 1 | 41 | | 2 | 34 | | 3 | 16 | | 4 | 20 | | 5 | 33 | | 6 | 11 | | 7 | 22 | | 8 | 46 | | 9 | 14 | | 10 | 27 | | 11 | 13 | | 12 | 14 | | 13 | 49 | | 14 | 9 | | 15 | 13 | | 16 | 7 | | 17 | 43 | | 18 | 19 | | 19 | 11 | | 20 | 45 | | 21 | 14 | | 22 | 25 | | 23 | 35 | | 24 | 13 | | 25 | 16 | | 26 | 34 | | 27 | 9 | | 28 | 15 | | 29 | 31 | | 30 | 12 | | 31 | 11 | | 32 | 9 | | 33 | 60 | | 34 | 32 | | 35 | 50 | | 36 | 7 | | 37 | 15 | | 38 | 30 | | 39 | 10 | | 40 | 14 | | 41 | 35 | | 42 | 43 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 75 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 161 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 91 | | ratio | 0.011 | | matches | | 0 | "His heterochromatic eyes—one amber, one black—studied her with an intensity that made her heart skip a beat." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 933 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 33 | | adverbRatio | 0.03536977491961415 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.00964630225080386 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 91 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 91 | | mean | 11.96 | | std | 6.29 | | cv | 0.526 | | sampleLengths | | 0 | 28 | | 1 | 20 | | 2 | 25 | | 3 | 8 | | 4 | 13 | | 5 | 18 | | 6 | 10 | | 7 | 17 | | 8 | 17 | | 9 | 9 | | 10 | 7 | | 11 | 8 | | 12 | 12 | | 13 | 8 | | 14 | 16 | | 15 | 9 | | 16 | 11 | | 17 | 11 | | 18 | 11 | | 19 | 21 | | 20 | 15 | | 21 | 10 | | 22 | 14 | | 23 | 14 | | 24 | 13 | | 25 | 11 | | 26 | 2 | | 27 | 10 | | 28 | 4 | | 29 | 10 | | 30 | 25 | | 31 | 14 | | 32 | 9 | | 33 | 6 | | 34 | 7 | | 35 | 5 | | 36 | 2 | | 37 | 15 | | 38 | 6 | | 39 | 22 | | 40 | 19 | | 41 | 8 | | 42 | 3 | | 43 | 15 | | 44 | 14 | | 45 | 16 | | 46 | 10 | | 47 | 4 | | 48 | 12 | | 49 | 13 |
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| 61.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3956043956043956 | | totalSentences | 91 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 75 | | matches | | 0 | "She glanced at the three" | | 1 | "She raised her hand and" | | 2 | "he said, his voice a" | | 3 | "His heterochromatic eyes—one amber, one" | | 4 | "she replied, her voice steadier" | | 5 | "He stepped aside, gesturing for" | | 6 | "she murmured, more to herself" | | 7 | "he said, closing the door" | | 8 | "She turned to face him," | | 9 | "He looked as impeccably dressed" | | 10 | "She felt a pang of" | | 11 | "she asked, crossing her arms" | | 12 | "He raised an eyebrow, a" | | 13 | "she said, avoiding his gaze" | | 14 | "he replied, his tone softening" | | 15 | "She looked up at him" | | 16 | "he asked, breaking the silence" | | 17 | "she said with a shrug" | | 18 | "He nodded, his expression unreadable." | | 19 | "They stood there for a" |
| | ratio | 0.64 | |
| 20.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 66 | | totalSentences | 75 | | matches | | 0 | "Aurora Carter stood in the" | | 1 | "The scent of curry wafted" | | 2 | "She glanced at the three" | | 3 | "She raised her hand and" | | 4 | "A moment later, she heard" | | 5 | "The door creaked open, revealing" | | 6 | "he said, his voice a" | | 7 | "His heterochromatic eyes—one amber, one" | | 8 | "she replied, her voice steadier" | | 9 | "He stepped aside, gesturing for" | | 10 | "Aurora hesitated for a moment" | | 11 | "The flat was as cluttered" | | 12 | "Ptolemy wound his way around" | | 13 | "she murmured, more to herself" | | 14 | "he said, closing the door" | | 15 | "The sound of the deadbolts" | | 16 | "She turned to face him," | | 17 | "He looked as impeccably dressed" | | 18 | "She felt a pang of" | | 19 | "she asked, crossing her arms" |
| | ratio | 0.88 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 1 | | matches | | 0 | "His heterochromatic eyes—one amber, one black—studied her with an intensity that made her heart skip a beat." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 7 | | matches | | 0 | "she replied, her voice steadier than she felt" | | 1 | "she murmured, more to herself than to Lucien" | | 2 | "he replied, his tone softening" | | 3 | "she asked, her voice barely above a whisper" | | 4 | "he countered, his voice firm but gentle" | | 5 | "she asked, her voice barely above a whisper" | | 6 | "she said, her voice tentative" |
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| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 2 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "he suggested (suggest)" |
| | dialogueSentences | 34 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.118 | | effectiveRatio | 0.118 | |