| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "he commanded softly [softly]" |
| | dialogueSentences | 33 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.091 | | effectiveRatio | 0.061 | |
| 76.23% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1262 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "precisely" | | 1 | "softly" | | 2 | "utterly" | | 3 | "completely" | | 4 | "slightly" |
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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) | |
| 40.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1262 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "pulse" | | 1 | "sanctuary" | | 2 | "weight" | | 3 | "whisper" | | 4 | "charged" | | 5 | "vibrated" | | 6 | "ensuring" | | 7 | "silence" | | 8 | "etched" | | 9 | "unspoken" | | 10 | "chaotic" | | 11 | "tracing" |
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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 | 65 | | matches | (empty) | |
| 76.92% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 65 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1260 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 75.29% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 870 | | uniqueNames | 8 | | maxNameDensity | 1.49 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Brick | 1 | | Lane | 1 | | Moreau | 1 | | Eva | 2 | | Ptolemy | 1 | | Lucien | 13 | | Rory | 11 | | Avaros | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Lucien" | | 3 | "Rory" |
| | places | | | globalScore | 0.753 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1260 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 30.73 | | std | 17.37 | | cv | 0.565 | | sampleLengths | | 0 | 8 | | 1 | 29 | | 2 | 44 | | 3 | 5 | | 4 | 27 | | 5 | 18 | | 6 | 46 | | 7 | 11 | | 8 | 46 | | 9 | 50 | | 10 | 57 | | 11 | 19 | | 12 | 29 | | 13 | 22 | | 14 | 70 | | 15 | 29 | | 16 | 5 | | 17 | 26 | | 18 | 1 | | 19 | 42 | | 20 | 18 | | 21 | 30 | | 22 | 33 | | 23 | 51 | | 24 | 17 | | 25 | 35 | | 26 | 44 | | 27 | 49 | | 28 | 44 | | 29 | 6 | | 30 | 30 | | 31 | 47 | | 32 | 46 | | 33 | 3 | | 34 | 9 | | 35 | 63 | | 36 | 47 | | 37 | 22 | | 38 | 27 | | 39 | 17 | | 40 | 38 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 65 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 137 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 86 | | ratio | 0.012 | | matches | | 0 | "His heterochromatic eyes—one amber, one a bottomless black—locked onto hers." |
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| 97.09% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 877 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.043329532497149374 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.013683010262257697 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 14.65 | | std | 8.1 | | cv | 0.553 | | sampleLengths | | 0 | 8 | | 1 | 23 | | 2 | 6 | | 3 | 18 | | 4 | 16 | | 5 | 10 | | 6 | 5 | | 7 | 11 | | 8 | 16 | | 9 | 18 | | 10 | 8 | | 11 | 21 | | 12 | 17 | | 13 | 11 | | 14 | 18 | | 15 | 9 | | 16 | 19 | | 17 | 6 | | 18 | 17 | | 19 | 27 | | 20 | 23 | | 21 | 26 | | 22 | 8 | | 23 | 19 | | 24 | 14 | | 25 | 15 | | 26 | 22 | | 27 | 25 | | 28 | 15 | | 29 | 30 | | 30 | 6 | | 31 | 14 | | 32 | 9 | | 33 | 5 | | 34 | 10 | | 35 | 16 | | 36 | 1 | | 37 | 23 | | 38 | 19 | | 39 | 12 | | 40 | 6 | | 41 | 14 | | 42 | 16 | | 43 | 33 | | 44 | 3 | | 45 | 21 | | 46 | 21 | | 47 | 4 | | 48 | 2 | | 49 | 14 |
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| 55.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.36046511627906974 | | totalSentences | 86 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 54.92% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 63 | | matches | | 0 | "His heterochromatic eyes—one amber, one" | | 1 | "Her crescent-shaped wrist scar stung," | | 2 | "He bypassed her with a" | | 3 | "He shook his wet hat," | | 4 | "She turned around, crossing her" | | 5 | "He took two slow steps" | | 6 | "She took a step back," | | 7 | "He leaned heavily on his" | | 8 | "He reached out, his leather-gloved" | | 9 | "Her breath hitched." | | 10 | "She looked at his impeccable" | | 11 | "He had been fighting." | | 12 | "she whispered, her voice losing" | | 13 | "She buried her face in" | | 14 | "He set his cane aside" | | 15 | "He reached out again, bare" | | 16 | "His fingers were warm, tipped" | | 17 | "He cradled her jaw, his" | | 18 | "he commanded softly" | | 19 | "She saw the exhaustion etched" |
| | ratio | 0.413 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 63 | | matches | | 0 | "Rory yanked the door of" | | 1 | "The words died in her" | | 2 | "Lucien Moreau stood in the" | | 3 | "Rain dripped from the brim" | | 4 | "His heterochromatic eyes—one amber, one" | | 5 | "Rory gripped the edge of" | | 6 | "Her crescent-shaped wrist scar stung," | | 7 | "Lucien stepped forward, not waiting" | | 8 | "He bypassed her with a" | | 9 | "He shook his wet hat," | | 10 | "Rory slammed the door, throwing" | | 11 | "She turned around, crossing her" | | 12 | "Lucien surveyed the cramped living" | | 13 | "Every surface groaned under the" | | 14 | "Lucien murmured, ran a gloved" | | 15 | "The slicked-back platinum hair caught" | | 16 | "A shadow crossed Lucien's face," | | 17 | "He took two slow steps" | | 18 | "Rory’s voice cracked, the raw" | | 19 | "She took a step back," |
| | ratio | 0.937 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 3 | | matches | | 0 | "Rory swallowed hard, her gaze dropping to his lips before snapping back to his mismatched eyes." | | 1 | "The anger that had sustained her for ninety days began to liquefy, morphing into a painful, tight ache in her throat." | | 2 | "Rory tangled her fingers in his platinum hair, pulling him closer, anchoring herself to the one person who could make her feel utterly chaotic and completely sa…" |
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| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "she whispered, her voice losing its sharp edges" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 5 | | fancyTags | | 0 | "Lucien murmured (murmur)" | | 1 | "she whispered (whisper)" | | 2 | "Rory muttered (mutter)" | | 3 | "Rory breathed (breathe)" | | 4 | "he muttered (mutter)" |
| | dialogueSentences | 33 | | tagDensity | 0.212 | | leniency | 0.424 | | rawRatio | 0.714 | | effectiveRatio | 0.303 | |