| 0.0000% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 5 | | adverbTags | | 0 | "he drawled, straightening from his slouch against the door frame in his impeccably tailored charcoal suit [impeccably]" | | 1 | "he said smoothly, not a hint of remorse in his tone [smoothly]" | | 2 | "Rory snapped, reaching out to grab the lapels of his finely pressed suit and yanking him inside [finely]" | | 3 | "Lucien stated simply [simply]" | | 4 | "she called to her tabby cat winding around her legs [around]" |
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| 77.1689% | AI-ism adverb frequency | Target: <1% AI-ism adverbs (57 tracked) | | wordCount | 876 | | totalAiIsmAdverbs | 2 | | found | | 0 | | adverb | "deliberately" | | count | 1 |
| | 1 | |
| | 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) | |
| 42.9224% | AI-ism word frequency | Target: <1% AI-ism words (140 tracked) | | wordCount | 876 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "flicked" | | 1 | "looming" | | 2 | "magnetic" | | 3 | "furrowed" |
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| 100.0000% | Cliche density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.0000% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 41 | | matches | (empty) | |
| 100.0000% | Filter word density | Target: ≤12% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 41 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 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 | 26 | | mean | 33.62 | | std | 17.24 | | cv | 0.513 | | sampleLengths | | 0 | 34 | | 1 | 60 | | 2 | 65 | | 3 | 42 | | 4 | 40 | | 5 | 58 | | 6 | 36 | | 7 | 47 | | 8 | 19 | | 9 | 30 | | 10 | 19 | | 11 | 12 | | 12 | 40 | | 13 | 62 | | 14 | 16 | | 15 | 11 | | 16 | 5 | | 17 | 39 | | 18 | 49 | | 19 | 8 | | 20 | 19 | | 21 | 27 | | 22 | 34 | | 23 | 15 | | 24 | 39 | | 25 | 48 |
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| 100.0000% | Passive voice overuse | Target: ≤5% passive sentences | | passiveCount | 0 | | totalSentences | 41 | | matches | (empty) | |
| 100.0000% | Past progressive (was/were + -ing) overuse | Target: ≤10% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 100 | | matches | (empty) | |
| 99.8723% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 548 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.040145985401459854 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.016423357664233577 | |
| 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 | 15.61 | | std | 8.55 | | cv | 0.548 | | sampleLengths | | 0 | 27 | | 1 | 7 | | 2 | 20 | | 3 | 28 | | 4 | 12 | | 5 | 10 | | 6 | 16 | | 7 | 30 | | 8 | 9 | | 9 | 8 | | 10 | 19 | | 11 | 15 | | 12 | 13 | | 13 | 27 | | 14 | 20 | | 15 | 23 | | 16 | 15 | | 17 | 19 | | 18 | 10 | | 19 | 7 | | 20 | 47 | | 21 | 19 | | 22 | 20 | | 23 | 10 | | 24 | 13 | | 25 | 6 | | 26 | 12 | | 27 | 10 | | 28 | 28 | | 29 | 2 | | 30 | 20 | | 31 | 13 | | 32 | 29 | | 33 | 16 | | 34 | 11 | | 35 | 3 | | 36 | 2 | | 37 | 20 | | 38 | 19 | | 39 | 6 | | 40 | 26 | | 41 | 17 | | 42 | 8 | | 43 | 4 | | 44 | 15 | | 45 | 15 | | 46 | 12 | | 47 | 6 | | 48 | 28 | | 49 | 11 |
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| 80.3571% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.48214285714285715 | | totalSentences | 56 | | uniqueOpeners | 27 | |
| 0.0000% | Dialogue tag variety (said vs. fancy) | Target: ≤30% fancy dialogue tags | | totalTags | 10 | | fancyCount | 9 | | fancyTags | | 0 | "he drawled, straightening from his slouch against the door frame in his impeccably tailored charcoal suit (drawl, straighten impeccably tailor)" | | 1 | "Rory hissed, voice laced with venom (hiss, lace)" | | 2 | "he said smoothly, not a hint of remorse in his tone (say smoothly)" | | 3 | "growled (growl)" | | 4 | "hissed (hiss)" | | 5 | "Rory snapped, reaching out to grab the lapels of his finely pressed suit and yanking him inside (snap, reach out grab finely press yank)" | | 6 | "Lucien stated simply (state simply)" | | 7 | "she agreed through clenched teeth (agree clench)" | | 8 | "she called to her tabby cat winding around her legs (call wind around)" |
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