| 63.01% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 5 | | adverbTags | | 0 | "She stood suddenly [suddenly]" | | 1 | "He stepped back [back]" | | 2 | "Lucien stopped directly [directly]" | | 3 | "she asked softly [softly]" | | 4 | "Lucien moved swiftly [swiftly]" |
| | dialogueSentences | 73 | | tagDensity | 0.356 | | leniency | 0.712 | | rawRatio | 0.192 | | effectiveRatio | 0.137 | |
| 64.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1142 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "slightly" | | 1 | "perfectly" | | 2 | "suddenly" | | 3 | "slowly" | | 4 | "really" | | 5 | "very" | | 6 | "softly" |
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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) | |
| 56.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1142 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "echoing" | | 1 | "tension" | | 2 | "perfect" | | 3 | "imposing" | | 4 | "whisper" | | 5 | "unspoken" | | 6 | "familiar" | | 7 | "pounding" | | 8 | "echoed" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | 0 | "blood ran cold" | | 1 | "eyes widened" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 63 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 7 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | | 0 | "try to" | | 1 | "seemed to" | | 2 | "appeared to" | | 3 | "tried to" | | 4 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 108 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1127 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 630 | | uniqueNames | 8 | | maxNameDensity | 2.54 | | worstName | "Aurora" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 16 | | Eva | 2 | | Tuesday | 1 | | Moreau | 1 | | Lucien | 15 | | Ptolemy | 3 | | French | 1 | | Three | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Eva" | | 2 | "Moreau" | | 3 | "Lucien" | | 4 | "Ptolemy" | | 5 | "French" | | 6 | "Three" |
| | places | (empty) | | globalScore | 0.23 | | windowScore | 0.167 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | 0 | "piles that seemed to defy gravity" |
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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 | 1127 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 108 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 19.43 | | std | 11.48 | | cv | 0.591 | | sampleLengths | | 0 | 32 | | 1 | 1 | | 2 | 40 | | 3 | 22 | | 4 | 18 | | 5 | 44 | | 6 | 23 | | 7 | 27 | | 8 | 29 | | 9 | 11 | | 10 | 8 | | 11 | 24 | | 12 | 7 | | 13 | 31 | | 14 | 30 | | 15 | 5 | | 16 | 34 | | 17 | 33 | | 18 | 8 | | 19 | 15 | | 20 | 27 | | 21 | 8 | | 22 | 33 | | 23 | 4 | | 24 | 37 | | 25 | 18 | | 26 | 35 | | 27 | 16 | | 28 | 5 | | 29 | 23 | | 30 | 6 | | 31 | 21 | | 32 | 7 | | 33 | 17 | | 34 | 4 | | 35 | 21 | | 36 | 8 | | 37 | 29 | | 38 | 16 | | 39 | 28 | | 40 | 7 | | 41 | 36 | | 42 | 13 | | 43 | 27 | | 44 | 30 | | 45 | 10 | | 46 | 28 | | 47 | 10 | | 48 | 11 | | 49 | 18 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 111 | | matches | | |
| 63.49% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 108 | | ratio | 0.028 | | matches | | 0 | "His charcoal suit was immaculate, not a wrinkle in sight, while his heterochromatic eyes—one amber, one black—fixed on hers." | | 1 | "\"Then what was it?\" Aurora stepped closer, the scent of his cologne—something expensive and distinctly French—invading her senses." | | 2 | "Despite everything—despite the lies, the danger, the supernatural revelations—Aurora felt the familiar pull toward him." |
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| 91.14% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 640 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 24 | | adverbRatio | 0.0375 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.0234375 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 108 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 108 | | mean | 10.44 | | std | 5.78 | | cv | 0.554 | | sampleLengths | | 0 | 12 | | 1 | 11 | | 2 | 9 | | 3 | 1 | | 4 | 21 | | 5 | 19 | | 6 | 16 | | 7 | 6 | | 8 | 8 | | 9 | 10 | | 10 | 14 | | 11 | 13 | | 12 | 17 | | 13 | 19 | | 14 | 4 | | 15 | 20 | | 16 | 7 | | 17 | 17 | | 18 | 12 | | 19 | 8 | | 20 | 3 | | 21 | 5 | | 22 | 3 | | 23 | 14 | | 24 | 10 | | 25 | 7 | | 26 | 28 | | 27 | 3 | | 28 | 12 | | 29 | 11 | | 30 | 7 | | 31 | 5 | | 32 | 24 | | 33 | 10 | | 34 | 14 | | 35 | 19 | | 36 | 2 | | 37 | 6 | | 38 | 9 | | 39 | 6 | | 40 | 12 | | 41 | 15 | | 42 | 8 | | 43 | 13 | | 44 | 5 | | 45 | 15 | | 46 | 4 | | 47 | 22 | | 48 | 15 | | 49 | 11 |
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| 80.56% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5 | | totalSentences | 108 | | uniqueOpeners | 54 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 91.19% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 59 | | matches | | 0 | "She hadn't ordered takeaway, and" | | 1 | "His charcoal suit was immaculate," | | 2 | "Her voice remained steady, betraying" | | 3 | "He turned, the ivory handle" | | 4 | "She crossed her arms" | | 5 | "He placed his cane against" | | 6 | "She perched on the edge" | | 7 | "His voice lowered" | | 8 | "Her hand instinctively touched the" | | 9 | "She stood suddenly, knocking a" | | 10 | "Her voice cracked" | | 11 | "His voice was a low" | | 12 | "His hand dropped back to" | | 13 | "He stepped back, pacing the" | | 14 | "Her defensive tone sounded weak" | | 15 | "He gripped her shoulders, his" | | 16 | "His voice dropped to a" | | 17 | "she asked softly" | | 18 | "He pulled his cane from" |
| | ratio | 0.322 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 59 | | matches | | 0 | "The deadbolts clunked open one" | | 1 | "She hadn't ordered takeaway, and" | | 2 | "The chain lock rattled as" | | 3 | "Lucien Moreau stood in the" | | 4 | "His charcoal suit was immaculate," | | 5 | "Her voice remained steady, betraying" | | 6 | "A ghost of a smile" | | 7 | "Aurora stepped back, allowing him" | | 8 | "Books and scrolls littered every" | | 9 | "Ptolemy, Eva's tabby cat, arched" | | 10 | "Lucien ran a gloved hand" | | 11 | "Aurora closed the door, sliding" | | 12 | "He turned, the ivory handle" | | 13 | "She crossed her arms" | | 14 | "Lucien's amber eye softened slightly." | | 15 | "Ptolemy hopped down from his" | | 16 | "The half-demon glanced down, a" | | 17 | "Aurora gestured to the only" | | 18 | "Lucien deftly moved the stack" | | 19 | "He placed his cane against" |
| | ratio | 0.932 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 59 | | matches | (empty) | | ratio | 0 | |
| 12.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 4 | | matches | | 0 | "Lucien Moreau stood in the dim hallway, leaning against the doorframe with an ease that belied the tension in his jaw." | | 1 | "He turned, the ivory handle of his cane catching the weak light filtering through the grimy window." | | 2 | "Lucien reached out, his fingers hovering just shy of touching her cheek." | | 3 | "One looked up, directly toward the window where they stood, revealing eyes that glowed with an unnatural red light." |
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| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 4 | | matches | | 0 | "Lucien stopped directly, his gaze intense" | | 1 | "He gripped, his touch sending an unwelcome shiver through her" | | 2 | "Aurora tried, but his grip tightened" | | 3 | "Aurora joined, her heart pounding" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "Aurora demanded (demand)" |
| | dialogueSentences | 73 | | tagDensity | 0.041 | | leniency | 0.082 | | rawRatio | 0.333 | | effectiveRatio | 0.027 | |