| 100.0000% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | |
| 88.3586% | AI-ism adverb frequency | Target: <1% AI-ism adverbs (57 tracked) | | wordCount | 859 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 80.0000% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.0000% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 18.5099% | AI-ism word frequency | Target: <1% AI-ism words (140 tracked) | | wordCount | 859 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "churn" | | 1 | "flickered" | | 2 | "glistening" | | 3 | "glint" | | 4 | "jaw clenched" | | 5 | "etched" |
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| 100.0000% | Cliche density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.0000% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 75 | | matches | (empty) | |
| 100.0000% | Filter word density | Target: ≤12% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 75 | | filterMatches | | | hedgeMatches | | |
| 100.0000% | Overuse of "that" (subordinate clause padding) | Target: ≤10% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 83 | | matches | | |
| 100.0000% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 30.64 | | std | 16.02 | | cv | 0.523 | | sampleLengths | | 0 | 47 | | 1 | 27 | | 2 | 40 | | 3 | 37 | | 4 | 34 | | 5 | 31 | | 6 | 34 | | 7 | 22 | | 8 | 16 | | 9 | 4 | | 10 | 39 | | 11 | 40 | | 12 | 42 | | 13 | 32 | | 14 | 64 | | 15 | 25 | | 16 | 17 | | 17 | 12 | | 18 | 10 | | 19 | 20 | | 20 | 1 | | 21 | 51 | | 22 | 32 | | 23 | 12 | | 24 | 51 | | 25 | 32 | | 26 | 22 | | 27 | 64 |
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| 100.0000% | Passive voice overuse | Target: ≤5% passive sentences | | passiveCount | 1 | | totalSentences | 75 | | matches | | |
| 100.0000% | Past progressive (was/were + -ing) overuse | Target: ≤10% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 128 | | matches | (empty) | |
| 100.0000% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 716 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.01675977653631285 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006983240223463687 | |
| 100.0000% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.0000% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 10.34 | | std | 5.69 | | cv | 0.551 | | sampleLengths | | 0 | 15 | | 1 | 12 | | 2 | 9 | | 3 | 11 | | 4 | 6 | | 5 | 16 | | 6 | 5 | | 7 | 17 | | 8 | 18 | | 9 | 5 | | 10 | 19 | | 11 | 8 | | 12 | 10 | | 13 | 18 | | 14 | 16 | | 15 | 17 | | 16 | 14 | | 17 | 13 | | 18 | 2 | | 19 | 1 | | 20 | 9 | | 21 | 3 | | 22 | 6 | | 23 | 10 | | 24 | 6 | | 25 | 6 | | 26 | 8 | | 27 | 8 | | 28 | 4 | | 29 | 12 | | 30 | 8 | | 31 | 14 | | 32 | 2 | | 33 | 3 | | 34 | 11 | | 35 | 8 | | 36 | 9 | | 37 | 12 | | 38 | 6 | | 39 | 16 | | 40 | 2 | | 41 | 13 | | 42 | 5 | | 43 | 5 | | 44 | 9 | | 45 | 18 | | 46 | 19 | | 47 | 10 | | 48 | 8 | | 49 | 17 |
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| 98.7952% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.6867469879518072 | | totalSentences | 83 | | uniqueOpeners | 57 | |
| 8.3333% | Dialogue tag variety (said vs. fancy) | Target: ≤30% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "In a hushed voice, she said, (hush say)" | | 1 | "she gestured, Raised pointing finger (gesture, point)" |
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