| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 46 | | tagDensity | 0.391 | | leniency | 0.783 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.89% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1169 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "really" | | 2 | "suddenly" | | 3 | "truly" |
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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) | |
| 48.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1169 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "stomach" | | 1 | "throbbed" | | 2 | "navigated" | | 3 | "sanctuary" | | 4 | "glint" | | 5 | "traced" | | 6 | "silence" | | 7 | "fractured" | | 8 | "vibrated" | | 9 | "grave" | | 10 | "silk" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 83 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 83 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1167 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 78.10% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 765 | | uniqueNames | 12 | | maxNameDensity | 1.44 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | Eva | 3 | | Ptolemy | 2 | | Evan | 2 | | Cardiff | 1 | | Silas | 1 | | Golden | 1 | | Empress | 1 | | Brick | 2 | | Lane | 2 | | Lucien | 11 | | French | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Ptolemy" | | 3 | "Evan" | | 4 | "Silas" | | 5 | "Lucien" |
| | places | | 0 | "Cardiff" | | 1 | "Brick" | | 2 | "Lane" |
| | globalScore | 0.781 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1167 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 111 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 24.31 | | std | 18.59 | | cv | 0.765 | | sampleLengths | | 0 | 50 | | 1 | 6 | | 2 | 4 | | 3 | 12 | | 4 | 61 | | 5 | 4 | | 6 | 22 | | 7 | 4 | | 8 | 19 | | 9 | 39 | | 10 | 16 | | 11 | 26 | | 12 | 22 | | 13 | 31 | | 14 | 59 | | 15 | 31 | | 16 | 14 | | 17 | 11 | | 18 | 5 | | 19 | 41 | | 20 | 30 | | 21 | 30 | | 22 | 13 | | 23 | 36 | | 24 | 59 | | 25 | 39 | | 26 | 4 | | 27 | 44 | | 28 | 7 | | 29 | 58 | | 30 | 30 | | 31 | 6 | | 32 | 4 | | 33 | 7 | | 34 | 28 | | 35 | 51 | | 36 | 3 | | 37 | 43 | | 38 | 33 | | 39 | 8 | | 40 | 64 | | 41 | 7 | | 42 | 5 | | 43 | 4 | | 44 | 15 | | 45 | 38 | | 46 | 20 | | 47 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 146 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 111 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 766 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.02741514360313316 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005221932114882507 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 10.51 | | std | 6.41 | | cv | 0.61 | | sampleLengths | | 0 | 10 | | 1 | 13 | | 2 | 13 | | 3 | 14 | | 4 | 6 | | 5 | 4 | | 6 | 10 | | 7 | 2 | | 8 | 3 | | 9 | 3 | | 10 | 9 | | 11 | 14 | | 12 | 13 | | 13 | 12 | | 14 | 7 | | 15 | 4 | | 16 | 6 | | 17 | 14 | | 18 | 2 | | 19 | 4 | | 20 | 13 | | 21 | 6 | | 22 | 6 | | 23 | 2 | | 24 | 17 | | 25 | 14 | | 26 | 3 | | 27 | 1 | | 28 | 8 | | 29 | 4 | | 30 | 17 | | 31 | 9 | | 32 | 5 | | 33 | 6 | | 34 | 11 | | 35 | 24 | | 36 | 7 | | 37 | 6 | | 38 | 13 | | 39 | 21 | | 40 | 19 | | 41 | 14 | | 42 | 17 | | 43 | 14 | | 44 | 11 | | 45 | 5 | | 46 | 13 | | 47 | 9 | | 48 | 19 | | 49 | 17 |
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| 56.16% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.36936936936936937 | | totalSentences | 111 | | uniqueOpeners | 41 | |
| 92.59% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 72 | | matches | | 0 | "Instead, it made him look" | | 1 | "Instead, I grabbed his silk" |
| | ratio | 0.028 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 72 | | matches | | 0 | "He leaned on his ivory" | | 1 | "His platinum hair caught the" | | 2 | "I didn't move." | | 3 | "We stood toe to toe" | | 4 | "His amber eye caught the" | | 5 | "I glanced at my left" | | 6 | "I shifted, blocking the view" | | 7 | "He reached into his breast" | | 8 | "He noticed, his jaw tightening," | | 9 | "My stomach dropped." | | 10 | "He extended the card" | | 11 | "I didn't take the paper." | | 12 | "He tapped his cane against" | | 13 | "He stepped inside without an" | | 14 | "He set the scroll down" | | 15 | "My hand curled into a" | | 16 | "He twisted the ivory handle" | | 17 | "I'd thought he was just" | | 18 | "I'd thought he wouldn't care." | | 19 | "He stepped closer, crowding me" |
| | ratio | 0.5 | |
| 8.61% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 72 | | matches | | 0 | "The third deadbolt clicked and" | | 1 | "Lucien Moreau filled the frame," | | 2 | "He leaned on his ivory" | | 3 | "His platinum hair caught the" | | 4 | "Ptolemy streaked past my ankles" | | 5 | "Lucien stepped forward." | | 6 | "I didn't move." | | 7 | "We stood toe to toe" | | 8 | "His amber eye caught the" | | 9 | "Marseille cologne cut through the" | | 10 | "The heterochromia should have looked" | | 11 | "I glanced at my left" | | 12 | "The crescent scar had split" | | 13 | "I shifted, blocking the view" | | 14 | "He reached into his breast" | | 15 | "He noticed, his jaw tightening," | | 16 | "My stomach dropped." | | 17 | "The name I used when" | | 18 | "He extended the card" | | 19 | "I didn't take the paper." |
| | ratio | 0.903 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 93.60% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 2 | | matches | | 0 | "He noticed, his jaw tightening, but he moved slowly, extracting a folded square of heavy cream cardstock." | | 1 | "Lucien navigated the narrow path between teetering stacks of occult texts with the ease of a man who'd memorized every hazard." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 2 | | matches | | 0 | "Lucien picked up, his gloved fingers unrolling the vellum" | | 1 | "Lucien's hand slid, fingers threading into my black hair" |
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| 41.30% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 5 | | fancyTags | | 0 | "he observed (observe)" | | 1 | "Lucien continued (continue)" | | 2 | "I whispered (whisper)" | | 3 | "he murmured (murmur)" | | 4 | "Lucien breathed (breathe)" |
| | dialogueSentences | 46 | | tagDensity | 0.174 | | leniency | 0.348 | | rawRatio | 0.625 | | effectiveRatio | 0.217 | |