| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 34 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 90 | | tagDensity | 0.378 | | leniency | 0.756 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 74.95% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1597 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "very" | | 1 | "suddenly" | | 2 | "slightly" | | 3 | "really" | | 4 | "quickly" |
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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) | |
| 49.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1597 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "velvet" | | 1 | "weight" | | 2 | "chaotic" | | 3 | "pulse" | | 4 | "charged" | | 5 | "silence" | | 6 | "stomach" | | 7 | "tension" | | 8 | "flickered" | | 9 | "pristine" | | 10 | "echoed" | | 11 | "vibrated" |
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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 | 118 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 118 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 174 | | 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 | 2 | | markdownWords | 2 | | totalWords | 1584 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.71% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 966 | | uniqueNames | 7 | | maxNameDensity | 1.35 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 5 | | Moreau | 1 | | Brick | 1 | | Lane | 1 | | Ptolemy | 2 | | Lucien | 13 | | London | 1 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Ptolemy" | | 3 | "Lucien" |
| | places | | | globalScore | 0.827 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | 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 | 1584 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 174 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 89 | | mean | 17.8 | | std | 14.57 | | cv | 0.819 | | sampleLengths | | 0 | 43 | | 1 | 9 | | 2 | 6 | | 3 | 41 | | 4 | 6 | | 5 | 28 | | 6 | 22 | | 7 | 32 | | 8 | 33 | | 9 | 44 | | 10 | 3 | | 11 | 38 | | 12 | 2 | | 13 | 43 | | 14 | 49 | | 15 | 4 | | 16 | 43 | | 17 | 23 | | 18 | 3 | | 19 | 11 | | 20 | 24 | | 21 | 26 | | 22 | 6 | | 23 | 34 | | 24 | 3 | | 25 | 21 | | 26 | 40 | | 27 | 32 | | 28 | 9 | | 29 | 1 | | 30 | 1 | | 31 | 36 | | 32 | 10 | | 33 | 3 | | 34 | 1 | | 35 | 36 | | 36 | 21 | | 37 | 5 | | 38 | 22 | | 39 | 4 | | 40 | 20 | | 41 | 2 | | 42 | 2 | | 43 | 16 | | 44 | 3 | | 45 | 18 | | 46 | 3 | | 47 | 25 | | 48 | 54 | | 49 | 12 |
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| 93.37% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 118 | | matches | | 0 | "was slicked" | | 1 | "was pinned" | | 2 | "was ruined" | | 3 | "was shredded" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 182 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 174 | | ratio | 0.011 | | matches | | 0 | "The scent of him hit me instantly—sandalwood, ozone, and something sharp and metallic, like rain on hot asphalt." | | 1 | "A flash of something—hurt, maybe, or frustration—flickered in his amber eye." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 974 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.039014373716632446 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.014373716632443531 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 174 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 174 | | mean | 9.1 | | std | 6.51 | | cv | 0.715 | | sampleLengths | | 0 | 19 | | 1 | 6 | | 2 | 18 | | 3 | 3 | | 4 | 6 | | 5 | 6 | | 6 | 18 | | 7 | 23 | | 8 | 6 | | 9 | 4 | | 10 | 13 | | 11 | 11 | | 12 | 3 | | 13 | 11 | | 14 | 8 | | 15 | 15 | | 16 | 17 | | 17 | 33 | | 18 | 4 | | 19 | 18 | | 20 | 7 | | 21 | 15 | | 22 | 3 | | 23 | 13 | | 24 | 16 | | 25 | 3 | | 26 | 6 | | 27 | 2 | | 28 | 14 | | 29 | 9 | | 30 | 19 | | 31 | 1 | | 32 | 5 | | 33 | 10 | | 34 | 16 | | 35 | 18 | | 36 | 4 | | 37 | 23 | | 38 | 20 | | 39 | 18 | | 40 | 5 | | 41 | 3 | | 42 | 11 | | 43 | 5 | | 44 | 19 | | 45 | 11 | | 46 | 15 | | 47 | 3 | | 48 | 3 | | 49 | 9 |
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| 55.75% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.3793103448275862 | | totalSentences | 174 | | uniqueOpeners | 66 | |
| 34.36% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 97 | | matches | | 0 | "Typically, the cat hissed at" |
| | ratio | 0.01 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 56 | | totalSentences | 97 | | matches | | 0 | "It succumbed with a metallic" | | 1 | "I undid the chain, pulled" | | 2 | "My breath hitched." | | 3 | "He looked entirely out of" | | 4 | "His tailored charcoal suit didn't" | | 5 | "I tried to slam the" | | 6 | "I wasn't fast enough." | | 7 | "His voice was smooth, dark" | | 8 | "I threw my weight against" | | 9 | "He held the cane steady" | | 10 | "he said, pushing the door" | | 11 | "He stepped past me." | | 12 | "It was the smell of" | | 13 | "It was the smell of" | | 14 | "He ignored me, turning his" | | 15 | "He poked a stack of" | | 16 | "His eyes, one amber and" | | 17 | "They lingered on my oversized" | | 18 | "I crossed my arms, fighting" | | 19 | "He picked up a small" |
| | ratio | 0.577 | |
| 1.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 97 | | matches | | 0 | "The third deadbolt stuck, refusing" | | 1 | "It succumbed with a metallic" | | 2 | "I undid the chain, pulled" | | 3 | "My breath hitched." | | 4 | "The scream died in my" | | 5 | "Lucien Moreau stood on the" | | 6 | "He looked entirely out of" | | 7 | "His tailored charcoal suit didn't" | | 8 | "I tried to slam the" | | 9 | "I wasn't fast enough." | | 10 | "An ivory-handled cane slotted into" | | 11 | "The door bounced off the" | | 12 | "His voice was smooth, dark" | | 13 | "I threw my weight against" | | 14 | "He held the cane steady" | | 15 | "he said, pushing the door" | | 16 | "He stepped past me." | | 17 | "The scent of him hit" | | 18 | "It was the smell of" | | 19 | "It was the smell of" |
| | ratio | 0.918 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 97 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 1 | | matches | | 0 | "His tailored charcoal suit didn't have a single crease, and his platinum hair was slicked back with a precision that bordered on aggressive." |
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| 80.88% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 34 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, his voice dropping an octave" | | 1 | "Lucien continued, relentless" | | 2 | "I said, my voice quiet" |
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| 61.11% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 18 | | fancyCount | 8 | | fancyTags | | 0 | "he drawled (drawl)" | | 1 | "I spat (spit)" | | 2 | "I laughed (laugh)" | | 3 | "Lucien continued (continue)" | | 4 | "I whispered (whisper)" | | 5 | "he corrected (correct)" | | 6 | "he muttered (mutter)" | | 7 | "he murmured (murmur)" |
| | dialogueSentences | 90 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.444 | | effectiveRatio | 0.178 | |