| 100.0000% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | |
| 85.3372% | AI-ism adverb frequency | Target: <1% AI-ism adverbs (57 tracked) | | wordCount | 682 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.0000% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.0000% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 0.0000% | AI-ism word frequency | Target: <1% AI-ism words (140 tracked) | | wordCount | 682 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "flicker" | | 1 | "shimmered" | | 2 | "trembled" | | 3 | "weight" | | 4 | "etched" | | 5 | "unraveling" |
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| 66.6667% | Cliche density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "weight of words/silence" | | count | 1 |
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| | highlights | | 0 | "blood ran cold" | | 1 | "the weight of the moment" |
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| 100.0000% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 44 | | matches | (empty) | |
| 100.0000% | Filter word density | Target: ≤12% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 44 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.0000% | Overuse of "that" (subordinate clause padding) | Target: ≤10% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 55 | | matches | (empty) | |
| 100.0000% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 30.68 | | std | 24.89 | | cv | 0.811 | | sampleLengths | | 0 | 84 | | 1 | 101 | | 2 | 52 | | 3 | 11 | | 4 | 57 | | 5 | 29 | | 6 | 13 | | 7 | 15 | | 8 | 16 | | 9 | 26 | | 10 | 47 | | 11 | 27 | | 12 | 29 | | 13 | 15 | | 14 | 36 | | 15 | 4 | | 16 | 44 | | 17 | 12 | | 18 | 36 | | 19 | 6 | | 20 | 8 | | 21 | 7 |
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| 100.0000% | Passive voice overuse | Target: ≤5% passive sentences | | passiveCount | 1 | | totalSentences | 44 | | matches | | |
| 100.0000% | Past progressive (was/were + -ing) overuse | Target: ≤10% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 96 | | matches | | 0 | "were unraveling" | | 1 | "was listening" | | 2 | "was watching" | | 3 | "was thinning" | | 4 | "was *breathing" |
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| 100.0000% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 572 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.03146853146853147 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006993006993006993 | |
| 100.0000% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 55 | | echoCount | 0 | | echoWords | (empty) | |
| 100.0000% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 55 | | mean | 12.27 | | std | 9.23 | | cv | 0.752 | | sampleLengths | | 0 | 23 | | 1 | 20 | | 2 | 41 | | 3 | 13 | | 4 | 22 | | 5 | 7 | | 6 | 40 | | 7 | 19 | | 8 | 13 | | 9 | 20 | | 10 | 19 | | 11 | 11 | | 12 | 2 | | 13 | 16 | | 14 | 25 | | 15 | 14 | | 16 | 18 | | 17 | 11 | | 18 | 9 | | 19 | 4 | | 20 | 12 | | 21 | 3 | | 22 | 13 | | 23 | 3 | | 24 | 19 | | 25 | 7 | | 26 | 9 | | 27 | 30 | | 28 | 8 | | 29 | 3 | | 30 | 19 | | 31 | 5 | | 32 | 3 | | 33 | 26 | | 34 | 8 | | 35 | 7 | | 36 | 3 | | 37 | 25 | | 38 | 8 | | 39 | 4 | | 40 | 25 | | 41 | 4 | | 42 | 6 | | 43 | 4 | | 44 | 5 | | 45 | 9 | | 46 | 3 | | 47 | 15 | | 48 | 9 | | 49 | 3 |
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| 42.4242% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3090909090909091 | | totalSentences | 55 | | uniqueOpeners | 17 | |
| 0.0000% | Dialogue tag variety (said vs. fancy) | Target: ≤30% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "a voice said, smooth as honeyed wine (say, honey)" | | 1 | "Aurora said, her voice steady despite the way her pulse quickened (say, quicken)" | | 2 | "Aurora said, the word *given* hanging between them like a question (say, *given* hanging like)" |
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