| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 59 | | tagDensity | 0.254 | | leniency | 0.508 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2153 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "suddenly" | | 1 | "very" | | 2 | "slowly" | | 3 | "carefully" |
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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) | |
| 58.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2153 | | totalAiIsms | 18 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "down her spine" | | count | 1 |
| | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "pulse" | | 1 | "stomach" | | 2 | "traced" | | 3 | "down her spine" | | 4 | "sense of" | | 5 | "silence" | | 6 | "warmth" | | 7 | "trembled" | | 8 | "treacherous" | | 9 | "implication" | | 10 | "silk" | | 11 | "perfect" | | 12 | "racing" | | 13 | "flickered" |
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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 | 142 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 142 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 185 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 38 | | totalWords | 2153 | | ratio | 0.018 | | matches | | 0 | "You are human, fragile, temporary. I will watch you age and die and I will remember you fondly while I fuck someone who can keep up." | | 1 | "The Half-Blood’s Bride" | | 2 | "When it’s over, we decide what comes next. Together." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 95.87% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1478 | | uniqueNames | 17 | | maxNameDensity | 1.08 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Moreau | 1 | | Ptolemy | 5 | | Eva | 2 | | Enochian | 1 | | Frenchman | 1 | | Avaros | 1 | | Cardiff | 1 | | University | 1 | | French | 1 | | Marseille | 1 | | Aurora | 16 | | Despite | 2 | | Lucien | 9 | | Half-Blood | 1 | | Brutal | 1 | | God | 1 | | One | 4 |
| | persons | | 0 | "Moreau" | | 1 | "Ptolemy" | | 2 | "Eva" | | 3 | "Aurora" | | 4 | "Lucien" | | 5 | "Half-Blood" | | 6 | "God" | | 7 | "One" |
| | places | | 0 | "Cardiff" | | 1 | "French" | | 2 | "Marseille" |
| | globalScore | 0.959 | | windowScore | 1 | |
| 75.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 100 | | glossingSentenceCount | 3 | | matches | | 0 | "as if reading state secrets" | | 1 | "something close to worship" | | 2 | "felt like coming home" |
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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 | 2153 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 185 | | matches | | 0 | "chose that moment" | | 1 | "chose that moment" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 76 | | mean | 28.33 | | std | 18.37 | | cv | 0.648 | | sampleLengths | | 0 | 72 | | 1 | 6 | | 2 | 16 | | 3 | 18 | | 4 | 22 | | 5 | 52 | | 6 | 13 | | 7 | 14 | | 8 | 53 | | 9 | 46 | | 10 | 5 | | 11 | 4 | | 12 | 11 | | 13 | 45 | | 14 | 23 | | 15 | 59 | | 16 | 26 | | 17 | 36 | | 18 | 40 | | 19 | 45 | | 20 | 25 | | 21 | 4 | | 22 | 43 | | 23 | 32 | | 24 | 55 | | 25 | 20 | | 26 | 3 | | 27 | 4 | | 28 | 57 | | 29 | 41 | | 30 | 59 | | 31 | 16 | | 32 | 3 | | 33 | 58 | | 34 | 22 | | 35 | 30 | | 36 | 22 | | 37 | 2 | | 38 | 37 | | 39 | 9 | | 40 | 6 | | 41 | 40 | | 42 | 31 | | 43 | 45 | | 44 | 59 | | 45 | 8 | | 46 | 33 | | 47 | 50 | | 48 | 3 | | 49 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 142 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 263 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 185 | | ratio | 0 | | matches | (empty) | |
| 98.42% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1483 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 62 | | adverbRatio | 0.041807147673634526 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.009440323668240054 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 185 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 185 | | mean | 11.64 | | std | 8.8 | | cv | 0.756 | | sampleLengths | | 0 | 20 | | 1 | 23 | | 2 | 29 | | 3 | 6 | | 4 | 14 | | 5 | 2 | | 6 | 5 | | 7 | 1 | | 8 | 9 | | 9 | 3 | | 10 | 18 | | 11 | 4 | | 12 | 13 | | 13 | 13 | | 14 | 26 | | 15 | 6 | | 16 | 7 | | 17 | 9 | | 18 | 5 | | 19 | 36 | | 20 | 17 | | 21 | 5 | | 22 | 26 | | 23 | 2 | | 24 | 5 | | 25 | 8 | | 26 | 5 | | 27 | 4 | | 28 | 3 | | 29 | 8 | | 30 | 19 | | 31 | 19 | | 32 | 7 | | 33 | 7 | | 34 | 11 | | 35 | 5 | | 36 | 18 | | 37 | 19 | | 38 | 3 | | 39 | 19 | | 40 | 26 | | 41 | 23 | | 42 | 9 | | 43 | 4 | | 44 | 24 | | 45 | 7 | | 46 | 9 | | 47 | 5 | | 48 | 2 | | 49 | 19 |
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| 48.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.32972972972972975 | | totalSentences | 185 | | uniqueOpeners | 61 | |
| 78.74% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 127 | | matches | | 0 | "Instead she gripped the frame" | | 1 | "Of course he did." | | 2 | "Then his mouth crashed into" |
| | ratio | 0.024 | |
| 81.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 127 | | matches | | 0 | "He leaned on that ivory-handled" | | 1 | "She almost slammed the door." | | 2 | "She hated how her stomach" | | 3 | "He took the invitation anyway." | | 4 | "He didn’t bother with them." | | 5 | "They both knew locks meant" | | 6 | "She still carried the faint" | | 7 | "He moved deeper into the" | | 8 | "His father’s realm." | | 9 | "She watched the leather stretch" | | 10 | "He turned, heterochromatic eyes locking" | | 11 | "He stepped closer" | | 12 | "Her back met the edge" | | 13 | "*You are human, fragile, temporary." | | 14 | "I will watch you age" | | 15 | "His cane clattered against the" | | 16 | "His voice dropped, that faint" | | 17 | "Her heart beat so hard" | | 18 | "His fingers brushed her hair," | | 19 | "His mouth twisted" |
| | ratio | 0.346 | |
| 50.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 127 | | matches | | 0 | "Aurora yanked the deadbolt open" | | 1 | "Lucien Moreau stood on the" | | 2 | "The scent of garam masala" | | 3 | "The word left her flat" | | 4 | "He leaned on that ivory-handled" | | 5 | "She almost slammed the door." | | 6 | "Ptolemy chose that moment to" | | 7 | "Aurora scooped the tabby up" | | 8 | "Lucien’s mouth curved, small and" | | 9 | "She hated how her stomach" | | 10 | "Aurora stepped back only because" | | 11 | "He took the invitation anyway." | | 12 | "The cane tapped once against" | | 13 | "He didn’t bother with them." | | 14 | "They both knew locks meant" | | 15 | "A low chuckle." | | 16 | "The night she had pressed" | | 17 | "The night she had tasted" | | 18 | "She still carried the faint" | | 19 | "Aurora set Ptolemy on the" |
| | ratio | 0.819 | |
| 39.37% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 127 | | matches | | 0 | "*When it’s over, we decide" |
| | ratio | 0.008 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 6 | | matches | | 0 | "He leaned on that ivory-handled cane as if the stairs had personally offended him." | | 1 | "The cane tapped once against the threshold before he crossed it, closing the door behind him with a soft click that sounded louder than any shout." | | 2 | "He moved deeper into the cramped space, gaze sweeping over the research notes as if reading state secrets." | | 3 | "The one that had drawn the wrong kind of attention from creatures that wore human skin like cheap coats." | | 4 | "Both hands braced on the table on either side of her hips, trapping her without touching." | | 5 | "Inside, among scattered research and disgruntled cats, two people who had parted on complicated terms began the far more complicated business of staying." |
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| 91.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 1 | | matches | | 0 | "He rested, breaths mingling" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "he corrected (correct)" |
| | dialogueSentences | 59 | | tagDensity | 0.034 | | leniency | 0.068 | | rawRatio | 0.5 | | effectiveRatio | 0.034 | |