| 48.48% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 33 | | adverbTagCount | 5 | | adverbTags | | 0 | "Mia nodded slowly [slowly]" | | 1 | "Mia said quietly [quietly]" | | 2 | "Mia said finally [finally]" | | 3 | "she said quietly [quietly]" | | 4 | "she said finally [finally]" |
| | dialogueSentences | 64 | | tagDensity | 0.516 | | leniency | 1 | | rawRatio | 0.152 | | effectiveRatio | 0.152 | |
| 81.79% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1647 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "really" | | 3 | "completely" |
| |
| 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) | |
| 81.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1647 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "weight" | | 1 | "flicker" | | 2 | "silence" | | 3 | "aligned" |
| |
| 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 | 1 | | narrationSentences | 99 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 99 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 130 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 80 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1639 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 58 | | wordCount | 1005 | | uniqueNames | 10 | | maxNameDensity | 2.29 | | worstName | "Mia" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 1 | | Nest | 1 | | October | 1 | | Thornton | 1 | | Silas | 4 | | London | 2 | | Rory | 22 | | Mia | 23 | | Water | 1 | | Eva | 2 |
| | persons | | 0 | "Nest" | | 1 | "Thornton" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Mia" | | 5 | "Eva" |
| | places | | | globalScore | 0.356 | | windowScore | 0.167 | |
| 65.25% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 2 | | matches | | 0 | "quite read" | | 1 | "breath that seemed to empty her completely" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1639 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 130 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 28.75 | | std | 25.85 | | cv | 0.899 | | sampleLengths | | 0 | 50 | | 1 | 42 | | 2 | 12 | | 3 | 50 | | 4 | 63 | | 5 | 18 | | 6 | 39 | | 7 | 42 | | 8 | 38 | | 9 | 16 | | 10 | 28 | | 11 | 8 | | 12 | 1 | | 13 | 31 | | 14 | 24 | | 15 | 5 | | 16 | 63 | | 17 | 5 | | 18 | 94 | | 19 | 16 | | 20 | 36 | | 21 | 1 | | 22 | 10 | | 23 | 18 | | 24 | 19 | | 25 | 40 | | 26 | 84 | | 27 | 27 | | 28 | 67 | | 29 | 17 | | 30 | 15 | | 31 | 2 | | 32 | 19 | | 33 | 31 | | 34 | 7 | | 35 | 83 | | 36 | 15 | | 37 | 37 | | 38 | 5 | | 39 | 3 | | 40 | 35 | | 41 | 120 | | 42 | 19 | | 43 | 8 | | 44 | 16 | | 45 | 49 | | 46 | 8 | | 47 | 27 | | 48 | 78 | | 49 | 24 |
| |
| 94.63% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 99 | | matches | | 0 | "been when" | | 1 | "being asked" | | 2 | "were painted" |
| |
| 95.29% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 191 | | matches | | 0 | "was polishing" | | 1 | "was counting" | | 2 | "was crying" |
| |
| 98.90% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 130 | | ratio | 0.015 | | matches | | 0 | "Mia had never been able to hold her drink; that much Rory remembered." | | 1 | "Mia looked up then, and there it was—the thing she'd come here to say." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1008 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.03273809523809524 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.012896825396825396 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 130 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 130 | | mean | 12.61 | | std | 11.74 | | cv | 0.931 | | sampleLengths | | 0 | 34 | | 1 | 16 | | 2 | 11 | | 3 | 24 | | 4 | 2 | | 5 | 5 | | 6 | 12 | | 7 | 23 | | 8 | 4 | | 9 | 5 | | 10 | 18 | | 11 | 9 | | 12 | 15 | | 13 | 26 | | 14 | 4 | | 15 | 9 | | 16 | 11 | | 17 | 7 | | 18 | 31 | | 19 | 8 | | 20 | 23 | | 21 | 1 | | 22 | 2 | | 23 | 13 | | 24 | 3 | | 25 | 7 | | 26 | 18 | | 27 | 13 | | 28 | 9 | | 29 | 7 | | 30 | 10 | | 31 | 9 | | 32 | 1 | | 33 | 8 | | 34 | 3 | | 35 | 5 | | 36 | 1 | | 37 | 26 | | 38 | 5 | | 39 | 24 | | 40 | 3 | | 41 | 2 | | 42 | 14 | | 43 | 28 | | 44 | 9 | | 45 | 12 | | 46 | 5 | | 47 | 9 | | 48 | 18 | | 49 | 21 |
| |
| 54.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.4 | | totalSentences | 130 | | uniqueOpeners | 52 | |
| 41.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 81 | | matches | | 0 | "Somewhere in the basement, the" |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 81 | | matches | | 0 | "She knew the shape of" | | 1 | "Her fingers were steady." | | 2 | "She made them be steady." | | 3 | "She wore a grey coat" | | 4 | "She wrapped her hands around" | | 5 | "Her nails were painted a" | | 6 | "She poured two fingers into" | | 7 | "She stopped, breathed" | | 8 | "Her eyes were wet now," | | 9 | "She lifted the whiskey and" | | 10 | "She trailed off" | | 11 | "She'd learned the value of" | | 12 | "she said quietly" | | 13 | "She set the glass down," | | 14 | "She gestured between them" | | 15 | "She shook her head" | | 16 | "She thought about Eva, who" | | 17 | "She thought about Silas, who" | | 18 | "She thought about the girl" | | 19 | "She thought about forgiveness, and" |
| | ratio | 0.284 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 81 | | matches | | 0 | "The rain had been falling" | | 1 | "Aurora looked up from the" | | 2 | "She knew the shape of" | | 3 | "The way she stood in" | | 4 | "Some things you couldn't unlearn." | | 5 | "Mia Thornton stepped inside and" | | 6 | "Rory set the glass down" | | 7 | "Her fingers were steady." | | 8 | "She made them be steady." | | 9 | "The scar on her wrist" | | 10 | "Mia's voice was higher than" | | 11 | "The London damp had turned" | | 12 | "She wore a grey coat" | | 13 | "The same age they'd been" | | 14 | "Rory reached for another glass," | | 15 | "Mia slid onto a barstool," | | 16 | "Rory placed the glass beneath" | | 17 | "Mia had never been able" | | 18 | "A flicker of something crossed" | | 19 | "She wrapped her hands around" |
| | ratio | 0.951 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 1 | | matches | | 0 | "Aurora looked up from the glass she was polishing, her cloth pausing mid-stroke against the rim." |
| |
| 64.39% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 33 | | uselessAdditionCount | 4 | | matches | | 0 | "she remembered, thinner" | | 1 | "Mia nodded slowly, her gaze dropping to her hands" | | 2 | "Mia asked, and the question hung between them, dense as the smoke that used to curl through the pubs back home" | | 3 | "Rory asked, and her voice was level, and she was proud of it" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 1 | | fancyTags | | 0 | "she whispered (whisper)" |
| | dialogueSentences | 64 | | tagDensity | 0.219 | | leniency | 0.438 | | rawRatio | 0.071 | | effectiveRatio | 0.031 | |