| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 52 | | tagDensity | 0.404 | | leniency | 0.808 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 70.27% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1009 | | totalAiIsmAdverbs | 6 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 2 |
| | 2 | | | 3 | |
| | highlights | | 0 | "softly" | | 1 | "barely above a whisper" | | 2 | "slightly" | | 3 | "slowly" |
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| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1009 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "reminder" | | 1 | "tinged" | | 2 | "familiar" | | 3 | "silence" | | 4 | "weight" | | 5 | "raced" | | 6 | "unspoken" | | 7 | "unreadable" | | 8 | "whisper" | | 9 | "mechanical" | | 10 | "could feel" | | 11 | "stark" | | 12 | "warmth" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 69 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 69 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1005 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 733 | | uniqueNames | 6 | | maxNameDensity | 0.95 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Carter | 1 | | Eva | 2 | | Lucien | 7 | | Moreau | 1 | | Aurora | 4 | | Ptolemy | 2 |
| | persons | | 0 | "Carter" | | 1 | "Eva" | | 2 | "Lucien" | | 3 | "Moreau" | | 4 | "Aurora" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 65.25% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 2 | | matches | | 0 | "quite place" | | 1 | "felt like time had stopped" |
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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 | 1005 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 100 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 19.33 | | std | 10.48 | | cv | 0.542 | | sampleLengths | | 0 | 47 | | 1 | 36 | | 2 | 14 | | 3 | 16 | | 4 | 17 | | 5 | 45 | | 6 | 16 | | 7 | 23 | | 8 | 24 | | 9 | 10 | | 10 | 41 | | 11 | 11 | | 12 | 24 | | 13 | 7 | | 14 | 14 | | 15 | 18 | | 16 | 24 | | 17 | 29 | | 18 | 14 | | 19 | 10 | | 20 | 10 | | 21 | 9 | | 22 | 25 | | 23 | 43 | | 24 | 10 | | 25 | 8 | | 26 | 4 | | 27 | 26 | | 28 | 16 | | 29 | 18 | | 30 | 6 | | 31 | 20 | | 32 | 22 | | 33 | 11 | | 34 | 27 | | 35 | 22 | | 36 | 10 | | 37 | 30 | | 38 | 6 | | 39 | 18 | | 40 | 39 | | 41 | 16 | | 42 | 16 | | 43 | 19 | | 44 | 14 | | 45 | 15 | | 46 | 11 | | 47 | 34 | | 48 | 14 | | 49 | 11 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 69 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 136 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 100 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 737 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 26 | | adverbRatio | 0.035278154681139755 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.008141112618724558 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 10.05 | | std | 4.84 | | cv | 0.482 | | sampleLengths | | 0 | 16 | | 1 | 8 | | 2 | 16 | | 3 | 7 | | 4 | 7 | | 5 | 16 | | 6 | 13 | | 7 | 14 | | 8 | 11 | | 9 | 5 | | 10 | 11 | | 11 | 6 | | 12 | 17 | | 13 | 13 | | 14 | 15 | | 15 | 9 | | 16 | 7 | | 17 | 9 | | 18 | 14 | | 19 | 12 | | 20 | 12 | | 21 | 9 | | 22 | 1 | | 23 | 16 | | 24 | 11 | | 25 | 14 | | 26 | 11 | | 27 | 17 | | 28 | 7 | | 29 | 7 | | 30 | 9 | | 31 | 5 | | 32 | 13 | | 33 | 5 | | 34 | 19 | | 35 | 5 | | 36 | 11 | | 37 | 18 | | 38 | 7 | | 39 | 7 | | 40 | 5 | | 41 | 5 | | 42 | 10 | | 43 | 8 | | 44 | 1 | | 45 | 10 | | 46 | 15 | | 47 | 17 | | 48 | 26 | | 49 | 10 |
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| 57.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.36 | | totalSentences | 100 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 65 | | matches | | 0 | "She hesitated, her hand hovering" | | 1 | "She took a deep breath," | | 2 | "His heterochromatic eyes widened in" | | 3 | "He leaned on his ivory-handled" | | 4 | "he said, his voice smooth" | | 5 | "she replied, her voice steady" | | 6 | "he said, stepping aside to" | | 7 | "She glanced around, noting the" | | 8 | "she said, turning to face" | | 9 | "She crossed her arms, her" | | 10 | "He smirked, a hint of" | | 11 | "They stood in silence for" | | 12 | "She looked away, her gaze" | | 13 | "he asked, his tone sharp" | | 14 | "She flinched at the mention" | | 15 | "She met his gaze again," | | 16 | "He sighed, running a hand" | | 17 | "He nodded, his expression unreadable." | | 18 | "she said, her voice barely" | | 19 | "He turned away, moving to" |
| | ratio | 0.723 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 65 | | matches | | 0 | "Aurora Carter stood in front" | | 1 | "She hesitated, her hand hovering" | | 2 | "The three deadbolts stared back" | | 3 | "She took a deep breath," | | 4 | "The door creaked open, revealing" | | 5 | "His heterochromatic eyes widened in" | | 6 | "He leaned on his ivory-handled" | | 7 | "he said, his voice smooth" | | 8 | "she replied, her voice steady" | | 9 | "he said, stepping aside to" | | 10 | "Aurora stepped into the cramped" | | 11 | "Ptolemy, the tabby cat, meowed" | | 12 | "She glanced around, noting the" | | 13 | "she said, turning to face" | | 14 | "Lucien closed the door, the" | | 15 | "She crossed her arms, her" | | 16 | "He smirked, a hint of" | | 17 | "They stood in silence for" | | 18 | "Aurora's mind raced, memories of" | | 19 | "The late-night conversations, the stolen" |
| | ratio | 0.985 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 99.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 2 | | matches | | 0 | "The late-night conversations, the stolen glances, the unspoken words that had lingered between them." | | 1 | "His movements were precise, almost mechanical, as if he were trying to keep himself busy." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 8 | | matches | | 0 | "she replied, her voice steady despite the turmoil inside her" | | 1 | "she said, turning to face him" | | 2 | "Lucien asked, his voice softer now" | | 3 | "he asked, his tone sharp" | | 4 | "she said, her voice barely above a whisper" | | 5 | "she asked, not turning around" | | 6 | "she asked, her voice barely above a whisper" | | 7 | "she said, her voice trembling slightly" |
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| 15.38% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 20 | | fancyCount | 7 | | fancyTags | | 0 | "she admitted (admit)" | | 1 | "he admitted (admit)" | | 2 | "she challenged (challenge)" | | 3 | "he conceded (concede)" | | 4 | "she murmured (murmur)" | | 5 | "he admitted (admit)" | | 6 | "she agreed (agree)" |
| | dialogueSentences | 52 | | tagDensity | 0.385 | | leniency | 0.769 | | rawRatio | 0.35 | | effectiveRatio | 0.269 | |