| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 55 | | tagDensity | 0.309 | | leniency | 0.618 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1345 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 47.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1345 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "echoing" | | 1 | "loomed" | | 2 | "pulse" | | 3 | "velvet" | | 4 | "tracing" | | 5 | "unreadable" | | 6 | "glinting" | | 7 | "gloom" | | 8 | "silk" | | 9 | "silence" | | 10 | "vibrated" | | 11 | "scanned" |
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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 | 157 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 157 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 194 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 8 | | totalWords | 1339 | | ratio | 0.006 | | matches | | 0 | "He's gone underground. Demons own him now." | | 1 | "Aurora." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 1068 | | uniqueNames | 20 | | maxNameDensity | 0.94 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Evan | 1 | | Cardiff | 1 | | Mayfair | 1 | | French | 1 | | Avaros | 1 | | Shoreditch | 1 | | Eva | 3 | | Charcoal | 1 | | Ivory | 1 | | Hurt | 2 | | Solid | 1 | | Vetiver | 1 | | Rory | 10 | | Mug | 1 | | Supernatural | 1 | | Fury | 1 | | Scrolls | 2 | | Amber | 1 | | Ptolemy | 6 | | Lucien | 10 |
| | persons | | 0 | "Evan" | | 1 | "Eva" | | 2 | "Hurt" | | 3 | "Vetiver" | | 4 | "Rory" | | 5 | "Mug" | | 6 | "Scrolls" | | 7 | "Amber" | | 8 | "Ptolemy" | | 9 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | 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 | 1339 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 194 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 21.95 | | std | 13.8 | | cv | 0.629 | | sampleLengths | | 0 | 14 | | 1 | 31 | | 2 | 18 | | 3 | 4 | | 4 | 18 | | 5 | 39 | | 6 | 24 | | 7 | 31 | | 8 | 28 | | 9 | 51 | | 10 | 14 | | 11 | 76 | | 12 | 20 | | 13 | 38 | | 14 | 29 | | 15 | 36 | | 16 | 14 | | 17 | 43 | | 18 | 46 | | 19 | 27 | | 20 | 30 | | 21 | 54 | | 22 | 12 | | 23 | 29 | | 24 | 29 | | 25 | 26 | | 26 | 29 | | 27 | 18 | | 28 | 26 | | 29 | 13 | | 30 | 15 | | 31 | 9 | | 32 | 9 | | 33 | 26 | | 34 | 11 | | 35 | 29 | | 36 | 29 | | 37 | 17 | | 38 | 20 | | 39 | 44 | | 40 | 2 | | 41 | 17 | | 42 | 8 | | 43 | 18 | | 44 | 13 | | 45 | 23 | | 46 | 8 | | 47 | 8 | | 48 | 22 | | 49 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 157 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 237 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 194 | | ratio | 0.005 | | matches | | 0 | "One amber eye caught the light; the black one swallowed it." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1072 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.021455223880597014 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0009328358208955224 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 194 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 194 | | mean | 6.9 | | std | 4.06 | | cv | 0.588 | | sampleLengths | | 0 | 14 | | 1 | 12 | | 2 | 8 | | 3 | 11 | | 4 | 4 | | 5 | 14 | | 6 | 4 | | 7 | 5 | | 8 | 11 | | 9 | 2 | | 10 | 6 | | 11 | 14 | | 12 | 13 | | 13 | 6 | | 14 | 7 | | 15 | 15 | | 16 | 2 | | 17 | 12 | | 18 | 9 | | 19 | 10 | | 20 | 11 | | 21 | 6 | | 22 | 11 | | 23 | 15 | | 24 | 6 | | 25 | 21 | | 26 | 9 | | 27 | 7 | | 28 | 4 | | 29 | 3 | | 30 | 6 | | 31 | 15 | | 32 | 9 | | 33 | 3 | | 34 | 18 | | 35 | 2 | | 36 | 17 | | 37 | 2 | | 38 | 2 | | 39 | 2 | | 40 | 13 | | 41 | 7 | | 42 | 15 | | 43 | 9 | | 44 | 14 | | 45 | 13 | | 46 | 5 | | 47 | 6 | | 48 | 5 | | 49 | 7 |
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| 88.32% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5360824742268041 | | totalSentences | 194 | | uniqueOpeners | 104 | |
| 24.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 137 | | matches | | 0 | "Then Eva's call: *He's gone" |
| | ratio | 0.007 | |
| 71.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 51 | | totalSentences | 137 | | matches | | 0 | "She gripped the frame." | | 1 | "He stepped forward uninvited" | | 2 | "His lips curved, not quite" | | 3 | "He leaned in, close enough" | | 4 | "She shoved the door wider," | | 5 | "Her pulse thudded in her" | | 6 | "He turned, cane planted like" | | 7 | "Her street name in the" | | 8 | "His deal with Avaros demons" | | 9 | "She crossed her arms, crescent" | | 10 | "He shed his overcoat, draping" | | 11 | "His voice dropped, velvet over" | | 12 | "He closed the gap, stopping" | | 13 | "She slammed the kettle down." | | 14 | "His cane clattered to the" | | 15 | "He cupped her chin, thumb" | | 16 | "Her breath caught." | | 17 | "She'd waited three days in" | | 18 | "She jerked free, but his" | | 19 | "She shoved his chest" |
| | ratio | 0.372 | |
| 29.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 118 | | totalSentences | 137 | | matches | | 0 | "Rory wrenched the door open," | | 1 | "Lucien stood there, cane hooked" | | 2 | "Platinum hair gleamed under the" | | 3 | "She gripped the frame." | | 4 | "Ptolemy slunk between her ankles," | | 5 | "He stepped forward uninvited" | | 6 | "The cane's ferrule tapped the" | | 7 | "Rory blocked him with her" | | 8 | "Bookshelves loomed behind her, scrolls" | | 9 | "The air hung thick with" | | 10 | "His lips curved, not quite" | | 11 | "He leaned in, close enough" | | 12 | "She shoved the door wider," | | 13 | "Heat prickled her skin where" | | 14 | "Ptolemy bolted under the sagging" | | 15 | "Lucien surveyed the flat, gloved" | | 16 | "Dust motes danced in his" | | 17 | "Rory slammed the door, locks" | | 18 | "Her pulse thudded in her" | | 19 | "He turned, cane planted like" |
| | ratio | 0.861 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 137 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 7 | | matches | | 0 | "Rory slammed, locks snicking home one by one" | | 1 | "He retrieved, blade glinting as he flexed it shut" | | 2 | "He sipped, eyes never leaving hers" | | 3 | "His mouth hovered, breath mingling" | | 4 | "Lucien snatched, blade snicking free" | | 5 | "Lucien slashed, ichor spraying" | | 6 | "He cupped, thumb smudging ichor on her cheek" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |