| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva looked around [around]" |
| | dialogueSentences | 106 | | tagDensity | 0.198 | | leniency | 0.396 | | rawRatio | 0.048 | | effectiveRatio | 0.019 | |
| 92.58% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2022 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "completely" | | 2 | "slowly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 90.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2022 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "flickered" | | 1 | "silence" | | 2 | "wavering" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 139 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 139 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 223 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2020 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 26 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 83 | | wordCount | 1413 | | uniqueNames | 6 | | maxNameDensity | 2.76 | | worstName | "Eva" | | maxWindowNameDensity | 5 | | worstWindowName | "Eva" | | discoveredNames | | Rory | 37 | | Eva | 39 | | Silas | 4 | | Raven | 1 | | Nest | 1 | | London | 1 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Silas" | | 3 | "Raven" |
| | places | | | globalScore | 0.12 | | windowScore | 0 | |
| 95.05% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 91 | | glossingSentenceCount | 2 | | matches | | 0 | "sound that seemed to belong to another room, another year" | | 1 | "seemed drawn inward, as though she’d spent years taking up less room" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2020 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 223 | | matches | | 0 | "passed that the" | | 1 | "said that they" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 126 | | mean | 16.03 | | std | 19.49 | | cv | 1.216 | | sampleLengths | | 0 | 8 | | 1 | 48 | | 2 | 11 | | 3 | 7 | | 4 | 4 | | 5 | 78 | | 6 | 4 | | 7 | 13 | | 8 | 48 | | 9 | 44 | | 10 | 8 | | 11 | 3 | | 12 | 18 | | 13 | 2 | | 14 | 10 | | 15 | 64 | | 16 | 5 | | 17 | 2 | | 18 | 6 | | 19 | 23 | | 20 | 8 | | 21 | 20 | | 22 | 25 | | 23 | 6 | | 24 | 6 | | 25 | 1 | | 26 | 30 | | 27 | 4 | | 28 | 3 | | 29 | 60 | | 30 | 10 | | 31 | 7 | | 32 | 3 | | 33 | 15 | | 34 | 60 | | 35 | 6 | | 36 | 11 | | 37 | 6 | | 38 | 9 | | 39 | 6 | | 40 | 4 | | 41 | 4 | | 42 | 65 | | 43 | 12 | | 44 | 4 | | 45 | 1 | | 46 | 3 | | 47 | 18 | | 48 | 5 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 139 | | matches | | 0 | "been invited" | | 1 | "being carried" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 262 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 223 | | ratio | 0.013 | | matches | | 0 | "Something passed through them—pain, perhaps, or the effort of not showing it." | | 1 | "Eva had always seemed to make use of time—fill it, spend it, turn it into something she could show you." | | 2 | "Eva could regret her absence; Rory could forgive it, or not." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1418 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 54 | | adverbRatio | 0.0380818053596615 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.005641748942172073 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 223 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 223 | | mean | 9.06 | | std | 6.99 | | cv | 0.772 | | sampleLengths | | 0 | 8 | | 1 | 18 | | 2 | 15 | | 3 | 15 | | 4 | 11 | | 5 | 7 | | 6 | 4 | | 7 | 5 | | 8 | 3 | | 9 | 31 | | 10 | 15 | | 11 | 24 | | 12 | 4 | | 13 | 8 | | 14 | 5 | | 15 | 12 | | 16 | 17 | | 17 | 19 | | 18 | 4 | | 19 | 22 | | 20 | 5 | | 21 | 13 | | 22 | 8 | | 23 | 3 | | 24 | 18 | | 25 | 2 | | 26 | 6 | | 27 | 4 | | 28 | 12 | | 29 | 6 | | 30 | 17 | | 31 | 29 | | 32 | 5 | | 33 | 2 | | 34 | 6 | | 35 | 7 | | 36 | 8 | | 37 | 4 | | 38 | 4 | | 39 | 8 | | 40 | 3 | | 41 | 12 | | 42 | 5 | | 43 | 25 | | 44 | 6 | | 45 | 6 | | 46 | 1 | | 47 | 14 | | 48 | 16 | | 49 | 2 |
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| 41.93% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.2556053811659193 | | totalSentences | 223 | | uniqueOpeners | 57 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 10 | | totalSentences | 121 | | matches | | 0 | "Then Eva said," | | 1 | "Then he looked down again" | | 2 | "Somewhere near the back, two" | | 3 | "Then Eva’s smile faded." | | 4 | "Then she had told herself" | | 5 | "Then enough time had passed" | | 6 | "Perhaps those were only names" | | 7 | "Instead she said," | | 8 | "Instead Eva reached across the" | | 9 | "Then she placed her own" |
| | ratio | 0.083 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 121 | | matches | | 0 | "It came from the doorway," | | 1 | "She stopped with one hand" | | 2 | "She looked older, of course." | | 3 | "They both did." | | 4 | "Her own voice came out" | | 5 | "She was proud of that." | | 6 | "His hazel eyes moved from" | | 7 | "She had never imagined standing" | | 8 | "Her coat was a good" | | 9 | "She looked as if she" | | 10 | "They had been certain that" | | 11 | "They hadn’t known how much" | | 12 | "She had told herself she" | | 13 | "She had kissed a girl" | | 14 | "She gave a small, embarrassed" | | 15 | "He set them down, then" | | 16 | "Her left wrist turned inward," | | 17 | "Her face tightened." | | 18 | "They sat with that." | | 19 | "It also looked old, worn" |
| | ratio | 0.231 | |
| 79.83% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 121 | | matches | | 0 | "The first thing Rory noticed" | | 1 | "It came from the doorway," | | 2 | "Rory had been wiping rain" | | 3 | "She stopped with one hand" | | 4 | "The woman under the green" | | 5 | "She looked older, of course." | | 6 | "They both did." | | 7 | "Eva used to enter every" | | 8 | "Rory knew the feeling." | | 9 | "Her own voice came out" | | 10 | "She was proud of that." | | 11 | "His hazel eyes moved from" | | 12 | "Eva came toward her." | | 13 | "The Raven’s Nest was dim" | | 14 | "Rain ticked against the windows." | | 15 | "Eva looked around, then up" | | 16 | "A smile flickered across Eva’s" | | 17 | "Rory had imagined this meeting" | | 18 | "She had never imagined standing" | | 19 | "Eva looked down at her" |
| | ratio | 0.76 | |
| 82.64% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 121 | | matches | | 0 | "Now she stood just inside" | | 1 | "Now Eva’s shoulders seemed drawn" |
| | ratio | 0.017 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 66 | | technicalSentenceCount | 3 | | matches | | 0 | "Now she stood just inside the door with one hand gripping the strap of her bag, waiting to be told she could come in." | | 1 | "Now Eva’s shoulders seemed drawn inward, as though she’d spent years taking up less room." | | 2 | "She wanted the old knowledge back, the kind that made questions unnecessary." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 106 | | tagDensity | 0.123 | | leniency | 0.245 | | rawRatio | 0 | | effectiveRatio | 0 | |