| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 31 | | tagDensity | 0.387 | | leniency | 0.774 | | rawRatio | 0.083 | | effectiveRatio | 0.065 | |
| 66.76% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 752 | | totalAiIsmAdverbs | 5 | | found | | 0 | | adverb | "barely above a whisper" | | count | 2 |
| | 1 | | | 2 | | | 3 | |
| | highlights | | 0 | "barely above a whisper" | | 1 | "slightly" | | 2 | "gently" | | 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 | 752 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "reminder" | | 1 | "familiar" | | 2 | "unreadable" | | 3 | "whisper" | | 4 | "silence" | | 5 | "weight" | | 6 | "tracing" | | 7 | "electric" | | 8 | "warmth" | | 9 | "unspoken" | | 10 | "pounding" | | 11 | "tension" |
| |
| 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 | | |
| 82.63% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 3 | | narrationSentences | 59 | | matches | | 0 | "d in surprise" | | 1 | "felt a jolt" | | 2 | "felt hopeful" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 59 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 749 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 11 | | wordCount | 578 | | uniqueNames | 5 | | maxNameDensity | 0.69 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Carter | 1 | | Eva | 2 | | Lucien | 4 | | Moreau | 1 | | Aurora | 3 |
| | persons | | 0 | "Carter" | | 1 | "Eva" | | 2 | "Lucien" | | 3 | "Moreau" | | 4 | "Aurora" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 2 | | matches | | 0 | "quite place" | | 1 | "seemed so composed so in control" |
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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 | 749 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 77 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 20.81 | | std | 12.46 | | cv | 0.599 | | sampleLengths | | 0 | 47 | | 1 | 36 | | 2 | 16 | | 3 | 18 | | 4 | 14 | | 5 | 44 | | 6 | 16 | | 7 | 25 | | 8 | 9 | | 9 | 11 | | 10 | 38 | | 11 | 8 | | 12 | 17 | | 13 | 21 | | 14 | 7 | | 15 | 52 | | 16 | 34 | | 17 | 8 | | 18 | 10 | | 19 | 12 | | 20 | 21 | | 21 | 12 | | 22 | 12 | | 23 | 41 | | 24 | 26 | | 25 | 26 | | 26 | 17 | | 27 | 31 | | 28 | 12 | | 29 | 10 | | 30 | 11 | | 31 | 26 | | 32 | 11 | | 33 | 11 | | 34 | 33 | | 35 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 105 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 77 | | ratio | 0 | | matches | (empty) | |
| 92.79% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 580 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 24 | | adverbRatio | 0.041379310344827586 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.01206896551724138 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 9.73 | | std | 5.11 | | cv | 0.525 | | sampleLengths | | 0 | 16 | | 1 | 8 | | 2 | 16 | | 3 | 7 | | 4 | 7 | | 5 | 16 | | 6 | 13 | | 7 | 16 | | 8 | 11 | | 9 | 7 | | 10 | 7 | | 11 | 7 | | 12 | 17 | | 13 | 13 | | 14 | 14 | | 15 | 16 | | 16 | 13 | | 17 | 12 | | 18 | 5 | | 19 | 4 | | 20 | 9 | | 21 | 2 | | 22 | 13 | | 23 | 14 | | 24 | 11 | | 25 | 5 | | 26 | 3 | | 27 | 15 | | 28 | 2 | | 29 | 7 | | 30 | 14 | | 31 | 7 | | 32 | 12 | | 33 | 6 | | 34 | 11 | | 35 | 23 | | 36 | 14 | | 37 | 11 | | 38 | 9 | | 39 | 8 | | 40 | 3 | | 41 | 7 | | 42 | 9 | | 43 | 3 | | 44 | 12 | | 45 | 9 | | 46 | 7 | | 47 | 5 | | 48 | 7 | | 49 | 5 |
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| 60.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.37662337662337664 | | totalSentences | 77 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 58 | | 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 a" | | 5 | "she replied, her voice steady" | | 6 | "He stepped aside, allowing her" | | 7 | "She reached out to scratch" | | 8 | "She turned to face him," | | 9 | "He nodded, his expression unreadable." | | 10 | "she said, her voice barely" | | 11 | "They stood in silence, the" | | 12 | "she replied, her fingers absentmindedly" | | 13 | "He gave a small, almost" | | 14 | "she said, grateful for the" | | 15 | "He moved to the tiny" | | 16 | "She watched him, memories flooding" | | 17 | "It had been one of" | | 18 | "He handed her a steaming" | | 19 | "She felt a jolt, like" |
| | ratio | 0.707 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 58 | | 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 a" | | 8 | "she replied, her voice steady" | | 9 | "He stepped aside, allowing her" | | 10 | "Aurora stepped into the cramped" | | 11 | "Ptolemy, the tabby cat, meowed" | | 12 | "She reached out to scratch" | | 13 | "Lucien's voice was soft, but" | | 14 | "She turned to face him," | | 15 | "He nodded, his expression unreadable." | | 16 | "she said, her voice barely" | | 17 | "They stood in silence, the" | | 18 | "The last time they had" | | 19 | "There had been attraction, hurt," |
| | ratio | 0.948 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 5 | | matches | | 0 | "she replied, her voice steady despite the turmoil inside her" | | 1 | "she said, her voice barely above a whisper" | | 2 | "she began, her voice trembling slightly" | | 3 | "she interrupted, her voice firmer now" | | 4 | "she asked, her voice barely above a whisper" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 1 | | fancyTags | | 0 | "she interrupted (interrupt)" |
| | dialogueSentences | 31 | | tagDensity | 0.355 | | leniency | 0.71 | | rawRatio | 0.091 | | effectiveRatio | 0.065 | |