| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 49 | | tagDensity | 0.367 | | leniency | 0.735 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.12% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1737 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 68.34% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1737 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "marble" | | 1 | "measured" | | 2 | "tracing" | | 3 | "weight" | | 4 | "echoed" | | 5 | "whisper" | | 6 | "chaotic" | | 7 | "pulse" |
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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 | 1 | | narrationSentences | 91 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 91 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 93 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1738 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 951 | | uniqueNames | 10 | | maxNameDensity | 0.74 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Ptolemy" | | discoveredNames | | Carter | 1 | | Moreau | 1 | | Brick | 2 | | Lane | 2 | | Ptolemy | 4 | | Latin | 1 | | Hebrew | 1 | | Eva | 1 | | Rory | 2 | | Lucien | 7 |
| | persons | | 0 | "Carter" | | 1 | "Moreau" | | 2 | "Ptolemy" | | 3 | "Latin" | | 4 | "Eva" | | 5 | "Rory" | | 6 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed nearer books breathing dust" |
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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 | 1738 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 121 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 41.38 | | std | 23.11 | | cv | 0.559 | | sampleLengths | | 0 | 13 | | 1 | 73 | | 2 | 1 | | 3 | 15 | | 4 | 23 | | 5 | 23 | | 6 | 36 | | 7 | 22 | | 8 | 75 | | 9 | 23 | | 10 | 37 | | 11 | 56 | | 12 | 39 | | 13 | 25 | | 14 | 43 | | 15 | 38 | | 16 | 10 | | 17 | 16 | | 18 | 30 | | 19 | 4 | | 20 | 67 | | 21 | 57 | | 22 | 35 | | 23 | 43 | | 24 | 108 | | 25 | 47 | | 26 | 19 | | 27 | 58 | | 28 | 55 | | 29 | 65 | | 30 | 23 | | 31 | 53 | | 32 | 51 | | 33 | 90 | | 34 | 50 | | 35 | 61 | | 36 | 76 | | 37 | 48 | | 38 | 22 | | 39 | 41 | | 40 | 36 | | 41 | 31 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 91 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 156 | | matches | (empty) | |
| 72.02% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 121 | | ratio | 0.025 | | matches | | 0 | "He turned from her and surveyed the open scroll nearest him—Latin stacked over Hebrew, diagram of concentric circles annotated in Eva's aggressive blue pen." | | 1 | "Their heights nearly matched; five foot six against five foot eleven meant her chin lifted just enough that he filled her vision." | | 2 | "The scent of him – tobacco leaf and ozone – threaded through the cumin." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 958 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.037578288100208766 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008350730688935281 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 14.36 | | std | 12.18 | | cv | 0.848 | | sampleLengths | | 0 | 7 | | 1 | 6 | | 2 | 17 | | 3 | 9 | | 4 | 8 | | 5 | 14 | | 6 | 25 | | 7 | 1 | | 8 | 15 | | 9 | 7 | | 10 | 6 | | 11 | 10 | | 12 | 6 | | 13 | 10 | | 14 | 7 | | 15 | 21 | | 16 | 15 | | 17 | 20 | | 18 | 2 | | 19 | 5 | | 20 | 4 | | 21 | 21 | | 22 | 10 | | 23 | 7 | | 24 | 10 | | 25 | 18 | | 26 | 13 | | 27 | 6 | | 28 | 4 | | 29 | 26 | | 30 | 11 | | 31 | 27 | | 32 | 13 | | 33 | 4 | | 34 | 12 | | 35 | 26 | | 36 | 13 | | 37 | 3 | | 38 | 16 | | 39 | 6 | | 40 | 37 | | 41 | 6 | | 42 | 7 | | 43 | 14 | | 44 | 7 | | 45 | 10 | | 46 | 7 | | 47 | 3 | | 48 | 4 | | 49 | 1 |
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| 71.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4462809917355372 | | totalSentences | 121 | | uniqueOpeners | 54 | |
| 38.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 87 | | matches | | 0 | "Bright blue eyes locked onto" |
| | ratio | 0.011 | |
| 49.89% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 87 | | matches | | 0 | "She planted her palm against" | | 1 | "He tilted his head a" | | 2 | "She willed the door shut" | | 3 | "His polished shoe slid into" | | 4 | "His voice stayed level, marble-smooth" | | 5 | "She edged backward one step." | | 6 | "He crossed the threshold." | | 7 | "He did not remove his" | | 8 | "She folded her arms, boarding-school" | | 9 | "He closed the distance between" | | 10 | "His words carried the clipped" | | 11 | "She digested that for three" | | 12 | "His left glove flexed." | | 13 | "She barked a half-laugh empty" | | 14 | "Her shoulder-length black hair swung" | | 15 | "He turned from her and" | | 16 | "She snatched the scroll from" | | 17 | "He faced her again" | | 18 | "Her volume dropped to a" | | 19 | "He took the scroll tube" |
| | ratio | 0.425 | |
| 23.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 87 | | matches | | 0 | "The third deadbolt yielded under" | | 1 | "Aurora Carter yanked the door" | | 2 | "Lucien Moreau stood on the" | | 3 | "Platinum hair slicked back under" | | 4 | "Charcoal suit cut sharp enough" | | 5 | "The curry house scents of" | | 6 | "The single syllable landed between" | | 7 | "She planted her palm against" | | 8 | "He tilted his head a" | | 9 | "The cane swung once, ivory" | | 10 | "She willed the door shut" | | 11 | "His polished shoe slid into" | | 12 | "His voice stayed level, marble-smooth" | | 13 | "She edged backward one step." | | 14 | "He crossed the threshold." | | 15 | "Books rose in precarious towers" | | 16 | "Scrolls twin-coiled across the scarred" | | 17 | "Ptolemy the tabby occupied the" | | 18 | "Lucien set his cane against" | | 19 | "He did not remove his" |
| | ratio | 0.874 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 87 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 2 | | matches | | 0 | "Lucien set his cane against the wall with care that bordered on ritual." | | 1 | "She swallowed against pressure that had nothing to do with fear of alleyway dealers." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "She barked (bark)" | | 1 | "Lucien continued (continue)" |
| | dialogueSentences | 49 | | tagDensity | 0.041 | | leniency | 0.082 | | rawRatio | 1 | | effectiveRatio | 0.082 | |