| 92.86% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 3 | | adverbTags | | 0 | "I spun around [around]" | | 1 | "he corrected softly [softly]" | | 2 | "Lucien said calmly [calmly]" |
| | dialogueSentences | 56 | | tagDensity | 0.393 | | leniency | 0.786 | | rawRatio | 0.136 | | effectiveRatio | 0.107 | |
| 88.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1269 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "softly" | | 1 | "suddenly" | | 2 | "slightly" |
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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) | |
| 56.66% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1269 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "familiar" | | 1 | "throbbed" | | 2 | "velvet" | | 3 | "pulse" | | 4 | "weight" | | 5 | "whisper" | | 6 | "marble" | | 7 | "echoed" | | 8 | "gleaming" | | 9 | "efficient" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 63 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 3 | | totalWords | 1269 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 69.46% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 745 | | uniqueNames | 7 | | maxNameDensity | 1.61 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | French | 2 | | Lucien | 12 | | Moreau | 1 | | Eva | 2 | | Cardiff | 2 | | Brick | 1 | | Lane | 1 |
| | persons | | | places | | 0 | "Cardiff" | | 1 | "Brick" | | 2 | "Lane" |
| | globalScore | 0.695 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | 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 | 1269 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 25.9 | | std | 20.25 | | cv | 0.782 | | sampleLengths | | 0 | 20 | | 1 | 22 | | 2 | 47 | | 3 | 10 | | 4 | 75 | | 5 | 34 | | 6 | 49 | | 7 | 19 | | 8 | 23 | | 9 | 52 | | 10 | 66 | | 11 | 5 | | 12 | 5 | | 13 | 7 | | 14 | 59 | | 15 | 11 | | 16 | 55 | | 17 | 3 | | 18 | 30 | | 19 | 26 | | 20 | 1 | | 21 | 40 | | 22 | 6 | | 23 | 11 | | 24 | 52 | | 25 | 29 | | 26 | 40 | | 27 | 5 | | 28 | 47 | | 29 | 30 | | 30 | 5 | | 31 | 7 | | 32 | 5 | | 33 | 65 | | 34 | 7 | | 35 | 8 | | 36 | 34 | | 37 | 61 | | 38 | 4 | | 39 | 12 | | 40 | 39 | | 41 | 12 | | 42 | 29 | | 43 | 7 | | 44 | 31 | | 45 | 23 | | 46 | 4 | | 47 | 24 | | 48 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 91.60% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 123 | | matches | | 0 | "was pulling" | | 1 | "was like shoving" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 96 | | ratio | 0.01 | | matches | | 0 | "One amber eye narrowed in amusement; the other, black as pooled ink, tracked the heavy rise and fall of my shoulders." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 749 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.01602136181575434 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.010680907877169559 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 13.22 | | std | 9.02 | | cv | 0.683 | | sampleLengths | | 0 | 20 | | 1 | 22 | | 2 | 4 | | 3 | 18 | | 4 | 25 | | 5 | 10 | | 6 | 22 | | 7 | 12 | | 8 | 21 | | 9 | 20 | | 10 | 13 | | 11 | 12 | | 12 | 9 | | 13 | 10 | | 14 | 25 | | 15 | 14 | | 16 | 19 | | 17 | 23 | | 18 | 17 | | 19 | 1 | | 20 | 34 | | 21 | 13 | | 22 | 11 | | 23 | 2 | | 24 | 40 | | 25 | 5 | | 26 | 5 | | 27 | 7 | | 28 | 5 | | 29 | 13 | | 30 | 41 | | 31 | 11 | | 32 | 8 | | 33 | 11 | | 34 | 4 | | 35 | 25 | | 36 | 7 | | 37 | 3 | | 38 | 26 | | 39 | 4 | | 40 | 9 | | 41 | 17 | | 42 | 1 | | 43 | 18 | | 44 | 22 | | 45 | 6 | | 46 | 4 | | 47 | 7 | | 48 | 15 | | 49 | 20 |
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| 44.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3333333333333333 | | totalSentences | 96 | | uniqueOpeners | 32 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 16.49% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 57 | | matches | | 0 | "I didn't turn around." | | 1 | "I rammed the heavy brass" | | 2 | "I said, my voice tight" | | 3 | "His platinum hair caught the" | | 4 | "I spun around, crossing my" | | 5 | "My left wrist throbbed, the" | | 6 | "I closed the distance between" | | 7 | "he corrected softly" | | 8 | "His accent slipped, the sharp" | | 9 | "His fingers, long and cool," | | 10 | "He didn't touch me." | | 11 | "He never touched without permission," | | 12 | "He lowered his hand, his" | | 13 | "My back hit the edge" | | 14 | "I pressed my palms against" | | 15 | "He was pulling the leash," | | 16 | "I asked, my voice barely" | | 17 | "He reached into his inner" | | 18 | "I stared at the contract." | | 19 | "My signature wasn't on it," |
| | ratio | 0.509 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 53 | | totalSentences | 57 | | matches | | 0 | "The iron tip of a" | | 1 | "I didn't turn around." | | 2 | "I rammed the heavy brass" | | 3 | "The scent of rain, cigar" | | 4 | "I said, my voice tight" | | 5 | "Lucien Moreau leaned his hip" | | 6 | "His platinum hair caught the" | | 7 | "I spun around, crossing my" | | 8 | "My left wrist throbbed, the" | | 9 | "Lucien smoothed the lapel of" | | 10 | "The tailored cloth fit his" | | 11 | "Lucien murmured, tapping his ivory-handled" | | 12 | "I closed the distance between" | | 13 | "The air between us cracked" | | 14 | "he corrected softly" | | 15 | "His accent slipped, the sharp" | | 16 | "Lucien reached out" | | 17 | "His fingers, long and cool," | | 18 | "He didn't touch me." | | 19 | "He never touched without permission," |
| | ratio | 0.93 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 2 | | matches | | 0 | "The tailored cloth fit his wide shoulders without a single wrinkle, hiding the half-blood strength that could snap a man's spine like a dry twig." | | 1 | "He never touched without permission, a lingering piece of court etiquette from his father's realm that felt absurd in a cramped flat on Brick Lane." |
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| 34.09% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 4 | | matches | | 0 | "I said, my voice tight" | | 1 | "I asked, my voice barely a whisper" | | 2 | "he corrected, his voice dropping an octave, rich and velvety" | | 3 | "I asked, my pulse hammering against my ribs" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 7 | | fancyTags | | 0 | "Lucien murmured (murmur)" | | 1 | "he corrected softly (correct)" | | 2 | "Lucien agreed (agree)" | | 3 | "I breathed (breathe)" | | 4 | "I snarled (snarl)" | | 5 | "he corrected (correct)" | | 6 | "I whispered (whisper)" |
| | dialogueSentences | 56 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0.583 | | effectiveRatio | 0.25 | |