| 100.0000% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | |
| 20.7921% | AI-ism adverb frequency | Target: <1% AI-ism adverbs (57 tracked) | | wordCount | 505 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "precisely" | | 1 | "slightly" | | 2 | "slowly" | | 3 | "suddenly" |
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| 100.0000% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.0000% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 20.7921% | AI-ism word frequency | Target: <1% AI-ism words (140 tracked) | | wordCount | 505 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "flickered" | | 1 | "methodical" | | 2 | "weight" | | 3 | "navigate" |
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| 100.0000% | Cliche density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.0000% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 54 | | matches | (empty) | |
| 100.0000% | Filter word density | Target: ≤12% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 54 | | filterMatches | | | hedgeMatches | | |
| 100.0000% | Overuse of "that" (subordinate clause padding) | Target: ≤10% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 56 | | matches | (empty) | |
| 100.0000% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 20 | | mean | 24.95 | | std | 17.34 | | cv | 0.695 | | sampleLengths | | 0 | 63 | | 1 | 50 | | 2 | 1 | | 3 | 16 | | 4 | 45 | | 5 | 20 | | 6 | 9 | | 7 | 19 | | 8 | 39 | | 9 | 16 | | 10 | 53 | | 11 | 5 | | 12 | 29 | | 13 | 34 | | 14 | 7 | | 15 | 11 | | 16 | 14 | | 17 | 34 | | 18 | 8 | | 19 | 26 |
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| 100.0000% | Passive voice overuse | Target: ≤5% passive sentences | | passiveCount | 2 | | totalSentences | 54 | | matches | | 0 | "been replaced" | | 1 | "were squared" |
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| 100.0000% | Past progressive (was/were + -ing) overuse | Target: ≤10% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 85 | | matches | | 0 | "were adjusting" | | 1 | "was willing" |
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| 84.1742% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 488 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 25 | | adverbRatio | 0.05122950819672131 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.014344262295081968 | |
| 100.0000% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 56 | | echoCount | 0 | | echoWords | (empty) | |
| 100.0000% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 56 | | mean | 8.91 | | std | 6.02 | | cv | 0.676 | | sampleLengths | | 0 | 22 | | 1 | 16 | | 2 | 25 | | 3 | 6 | | 4 | 20 | | 5 | 24 | | 6 | 1 | | 7 | 5 | | 8 | 11 | | 9 | 16 | | 10 | 8 | | 11 | 6 | | 12 | 14 | | 13 | 1 | | 14 | 9 | | 15 | 6 | | 16 | 2 | | 17 | 3 | | 18 | 9 | | 19 | 9 | | 20 | 3 | | 21 | 4 | | 22 | 3 | | 23 | 6 | | 24 | 7 | | 25 | 8 | | 26 | 18 | | 27 | 5 | | 28 | 11 | | 29 | 5 | | 30 | 13 | | 31 | 11 | | 32 | 24 | | 33 | 5 | | 34 | 3 | | 35 | 7 | | 36 | 7 | | 37 | 12 | | 38 | 3 | | 39 | 6 | | 40 | 9 | | 41 | 3 | | 42 | 1 | | 43 | 12 | | 44 | 7 | | 45 | 8 | | 46 | 3 | | 47 | 7 | | 48 | 7 | | 49 | 7 |
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| 77.3810% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5178571428571429 | | totalSentences | 56 | | uniqueOpeners | 29 | |
| 100.0000% | Dialogue tag variety (said vs. fancy) | Target: ≤30% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | |