| 75.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 3 | | adverbTags | | 0 | "he corrected softly [softly]" | | 1 | "he said quietly [quietly]" | | 2 | "she finally said [finally]" |
| | dialogueSentences | 46 | | tagDensity | 0.522 | | leniency | 1 | | rawRatio | 0.125 | | effectiveRatio | 0.125 | |
| 47.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1144 | | totalAiIsmAdverbs | 12 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | adverb | "deliberately" | | count | 1 |
|
| | highlights | | 0 | "precisely" | | 1 | "slightly" | | 2 | "very" | | 3 | "suddenly" | | 4 | "softly" | | 5 | "really" | | 6 | "slowly" | | 7 | "deliberately" |
| |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 47.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1144 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "flicked" | | 1 | "measured" | | 2 | "warmth" | | 3 | "fascinating" | | 4 | "charged" | | 5 | "charm" | | 6 | "otherworldly" | | 7 | "crystal" | | 8 | "perfect" | | 9 | "silence" | | 10 | "sanctuary" |
| |
| 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 | 0 | | narrationSentences | 71 | | matches | (empty) | |
| 82.49% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | | 0 | "managed to" | | 1 | "seemed to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1136 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 854 | | uniqueNames | 8 | | maxNameDensity | 0.82 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Eva" | | discoveredNames | | London | 1 | | Eva | 6 | | Brick | 2 | | Lane | 2 | | Moreau | 1 | | French | 1 | | Aurora | 6 | | Lucien | 7 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Aurora" | | 3 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed charged thick with things left unsaid between them" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1136 | | matches | (empty) | |
| 94.20% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 92 | | matches | | 0 | "know that—her" | | 1 | "know that she'd" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 26.42 | | std | 17.27 | | cv | 0.654 | | sampleLengths | | 0 | 56 | | 1 | 55 | | 2 | 8 | | 3 | 17 | | 4 | 69 | | 5 | 13 | | 6 | 67 | | 7 | 3 | | 8 | 10 | | 9 | 49 | | 10 | 18 | | 11 | 17 | | 12 | 29 | | 13 | 18 | | 14 | 34 | | 15 | 14 | | 16 | 23 | | 17 | 19 | | 18 | 60 | | 19 | 50 | | 20 | 19 | | 21 | 28 | | 22 | 8 | | 23 | 24 | | 24 | 5 | | 25 | 11 | | 26 | 20 | | 27 | 23 | | 28 | 10 | | 29 | 24 | | 30 | 16 | | 31 | 18 | | 32 | 28 | | 33 | 36 | | 34 | 31 | | 35 | 12 | | 36 | 58 | | 37 | 18 | | 38 | 13 | | 39 | 41 | | 40 | 28 | | 41 | 17 | | 42 | 19 |
| |
| 95.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 71 | | matches | | 0 | "was slicked" | | 1 | "was hidden" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 142 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 92 | | ratio | 0.076 | | matches | | 0 | "Aurora didn't need a clock to know that—her supervision had sharpened to exacting precision during her time in London." | | 1 | "His platinum blond hair was slicked back as if he'd just stepped from a salon, and his heterochromatic eyes—one amber, one black—had that predatory focus she remembered so well." | | 2 | "Her hand instinctively went to the small crescent-shaped scar on her left wrist—a childhood accident that somehow felt more significant in his presence." | | 3 | "\"It never is,\" Lucien replied, a ghost of something crossing his face—amusement, regret, perhaps." | | 4 | "As he entered, she caught a whiff of his scent—something male and expensive, with a hint of that otherworldly quality she'd never quite forgotten." | | 5 | "He turned to face her fully, and for the first time since he'd arrived, she saw something in his eyes—a vulnerability that startled her." | | 6 | "Outside, the faint sound of the Brick Lane nightlife filtered through the window—music, laughter, the occasional shout." |
| |
| 77.02% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 868 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 50 | | adverbRatio | 0.0576036866359447 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.021889400921658985 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 12.35 | | std | 7.84 | | cv | 0.635 | | sampleLengths | | 0 | 7 | | 1 | 19 | | 2 | 16 | | 3 | 3 | | 4 | 1 | | 5 | 10 | | 6 | 16 | | 7 | 15 | | 8 | 24 | | 9 | 8 | | 10 | 16 | | 11 | 1 | | 12 | 21 | | 13 | 26 | | 14 | 22 | | 15 | 13 | | 16 | 25 | | 17 | 29 | | 18 | 13 | | 19 | 3 | | 20 | 7 | | 21 | 3 | | 22 | 15 | | 23 | 11 | | 24 | 23 | | 25 | 13 | | 26 | 5 | | 27 | 8 | | 28 | 9 | | 29 | 24 | | 30 | 5 | | 31 | 14 | | 32 | 4 | | 33 | 22 | | 34 | 12 | | 35 | 14 | | 36 | 7 | | 37 | 12 | | 38 | 4 | | 39 | 12 | | 40 | 7 | | 41 | 4 | | 42 | 24 | | 43 | 32 | | 44 | 19 | | 45 | 20 | | 46 | 11 | | 47 | 12 | | 48 | 7 | | 49 | 24 |
| |
| 80.80% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5108695652173914 | | totalSentences | 92 | | uniqueOpeners | 47 | |
| 50.51% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 66 | | matches | | 0 | "Exactly as he always did." |
| | ratio | 0.015 | |
| 32.12% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 66 | | matches | | 0 | "It wasn't the regular thud" | | 1 | "She stood in Eva's cramped" | | 2 | "she murmured, though the cat" | | 3 | "she asked the cat, who" | | 4 | "She placed her mug on" | | 5 | "His platinum blond hair was" | | 6 | "He leaned slightly on his" | | 7 | "He wasn't smiling." | | 8 | "he said, his French accent" | | 9 | "She took in the fine" | | 10 | "Her hand instinctively went to" | | 11 | "she said, her voice coming" | | 12 | "His gray was direct" | | 13 | "His very presence seemed to" | | 14 | "He gestured to the doorway" | | 15 | "It brought back a flood" | | 16 | "He glanced at the books," | | 17 | "he commented, his voice lowering" | | 18 | "she countered, folding her arms" | | 19 | "He turned to face her" |
| | ratio | 0.47 | |
| 20.61% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 66 | | matches | | 0 | "The knock came at precisely" | | 1 | "Aurora didn't need a clock" | | 2 | "It wasn't the regular thud" | | 3 | "This was deliberate." | | 4 | "She stood in Eva's cramped" | | 5 | "Ptolemy, Eva's tabby cat, watched" | | 6 | "she murmured, though the cat" | | 7 | "The knocking came again, more" | | 8 | "she asked the cat, who" | | 9 | "She placed her mug on" | | 10 | "The flat above the Brick" | | 11 | "Lucien Moreau stood on the" | | 12 | "His platinum blond hair was" | | 13 | "He leaned slightly on his" | | 14 | "He wasn't smiling." | | 15 | "he said, his French accent" | | 16 | "She took in the fine" | | 17 | "The years hadn't been kind" | | 18 | "Her hand instinctively went to" | | 19 | "she said, her voice coming" |
| | ratio | 0.879 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "His platinum blond hair was slicked back as if he'd just stepped from a salon, and his heterochromatic eyes—one amber, one black—had that predatory focus she re…" | | 1 | "The amber eye seemed to soften, and in that moment, she glimpsed a version of him that had haunted her late-night thoughts for twenty-four months." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 6 | | matches | | 0 | "she said, her voice coming out more defensive than she'd intended" | | 1 | "Lucien replied, a ghost of something crossing his face—amusement, regret, perhaps" | | 2 | "Lucien's mouth quirked, a brief softening" | | 3 | "he commented, his voice lowering" | | 4 | "he said, his voice losing some of its usual precision" | | 5 | "he said, his voice suddenly rough" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 16 | | fancyCount | 7 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "he continued (continue)" | | 2 | "he commented (comment)" | | 3 | "he corrected softly (correct)" | | 4 | "she challenged (challenge)" | | 5 | "he admitted (admit)" | | 6 | "she whispered (whisper)" |
| | dialogueSentences | 46 | | tagDensity | 0.348 | | leniency | 0.696 | | rawRatio | 0.438 | | effectiveRatio | 0.304 | |