| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.421 | | leniency | 0.842 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.37% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 941 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 46.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 941 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "familiar" | | 1 | "stomach" | | 2 | "footsteps" | | 3 | "stark" | | 4 | "tracing" | | 5 | "silence" | | 6 | "weight" | | 7 | "traced" | | 8 | "thundered" |
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| 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 | 43 | | matches | (empty) | |
| 76.41% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 43 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 64 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 946 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.28% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 596 | | uniqueNames | 7 | | maxNameDensity | 1.17 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 4 | | Marseille | 1 | | Golden | 1 | | Empress | 1 | | Lucien | 4 | | Aurora | 7 | | French | 1 |
| | persons | | | places | | | globalScore | 0.913 | | windowScore | 1 | |
| 87.50% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like coming home and stepping off" |
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| 94.29% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.057 | | wordCount | 946 | | matches | | 0 | "not welcome here,\" Aurora said, closing the door but leaving it unchained" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 64 | | matches | (empty) | |
| 93.77% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 30.52 | | std | 14.59 | | cv | 0.478 | | sampleLengths | | 0 | 48 | | 1 | 44 | | 2 | 34 | | 3 | 19 | | 4 | 40 | | 5 | 35 | | 6 | 60 | | 7 | 26 | | 8 | 37 | | 9 | 59 | | 10 | 7 | | 11 | 33 | | 12 | 10 | | 13 | 21 | | 14 | 25 | | 15 | 17 | | 16 | 40 | | 17 | 11 | | 18 | 37 | | 19 | 29 | | 20 | 32 | | 21 | 3 | | 22 | 50 | | 23 | 26 | | 24 | 27 | | 25 | 35 | | 26 | 31 | | 27 | 2 | | 28 | 35 | | 29 | 47 | | 30 | 26 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 43 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 112 | | matches | | |
| 8.93% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 64 | | ratio | 0.047 | | matches | | 0 | "\"Bonsoir, chérie.\" His voice was exactly as she remembered – smooth as aged cognac, with that slight Marseille accent that had once made her knees weak." | | 1 | "Aurora glanced behind him, checking for threats – a habit she'd picked up during their time together." | | 2 | "\"That I'm tired of pretending I can live without you.\" His eyes – amber and black – held hers." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 593 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.03035413153456998 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006745362563237774 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 64 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 64 | | mean | 14.78 | | std | 7.88 | | cv | 0.533 | | sampleLengths | | 0 | 12 | | 1 | 14 | | 2 | 22 | | 3 | 16 | | 4 | 15 | | 5 | 13 | | 6 | 26 | | 7 | 8 | | 8 | 19 | | 9 | 30 | | 10 | 10 | | 11 | 17 | | 12 | 11 | | 13 | 7 | | 14 | 15 | | 15 | 28 | | 16 | 17 | | 17 | 13 | | 18 | 13 | | 19 | 32 | | 20 | 5 | | 21 | 19 | | 22 | 21 | | 23 | 19 | | 24 | 7 | | 25 | 21 | | 26 | 12 | | 27 | 6 | | 28 | 4 | | 29 | 16 | | 30 | 5 | | 31 | 10 | | 32 | 15 | | 33 | 3 | | 34 | 12 | | 35 | 2 | | 36 | 20 | | 37 | 20 | | 38 | 8 | | 39 | 3 | | 40 | 32 | | 41 | 5 | | 42 | 10 | | 43 | 19 | | 44 | 26 | | 45 | 6 | | 46 | 3 | | 47 | 9 | | 48 | 16 | | 49 | 25 |
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| 77.60% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.53125 | | totalSentences | 64 | | uniqueOpeners | 34 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 43 | | matches | | 0 | "Still did, if she was" | | 1 | "Instead, she found herself rising" |
| | ratio | 0.047 | |
| 15.35% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 43 | | matches | | 0 | "She considered pretending she wasn't" | | 1 | "His voice was exactly as" | | 2 | "She kept her tone flat," | | 3 | "His mismatched eyes studied her" | | 4 | "He looked out of place" | | 5 | "He turned to face her," | | 6 | "She crossed her arms, careful" | | 7 | "He'd always had a way" | | 8 | "She moved deeper into the" | | 9 | "He laughed, but there was" | | 10 | "She turned to face him," | | 11 | "He closed the distance between" | | 12 | "She felt the color drain" | | 13 | "His voice softened" | | 14 | "Her voice shook" | | 15 | "He was close enough now" | | 16 | "He reached out, his fingers" | | 17 | "His thumb traced the familiar" | | 18 | "she whispered, but she was" | | 19 | "He lifted his free hand" |
| | ratio | 0.512 | |
| 29.77% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 37 | | totalSentences | 43 | | matches | | 0 | "Aurora's hand froze on the" | | 1 | "The familiar silhouette on the" | | 2 | "Lucien stood in the dim" | | 3 | "She considered pretending she wasn't" | | 4 | "His voice was exactly as" | | 5 | "She kept her tone flat," | | 6 | "His mismatched eyes studied her" | | 7 | "Aurora glanced behind him, checking" | | 8 | "The hallway was empty except" | | 9 | "Lucien entered with his characteristic" | | 10 | "He looked out of place" | | 11 | "Ptolemy, Eva's tabby, arched his" | | 12 | "Aurora said, closing the door" | | 13 | "He turned to face her," | | 14 | "She crossed her arms, careful" | | 15 | "He'd always had a way" | | 16 | "The words came out sharper" | | 17 | "Lucien's grip tightened on his" | | 18 | "She moved deeper into the" | | 19 | "He laughed, but there was" |
| | ratio | 0.86 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 43 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 1 | | matches | | 0 | "Instead, she found herself rising on her toes, her lips meeting his in a kiss that felt like coming home and stepping off a cliff all at once." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 97.37% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "He laughed (laugh)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 38 | | tagDensity | 0.079 | | leniency | 0.158 | | rawRatio | 0.667 | | effectiveRatio | 0.105 | |