| 51.85% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 4 | | adverbTags | | 0 | "he said quietly [quietly]" | | 1 | "He leaned back [back]" | | 2 | "he said softly [softly]" | | 3 | "His hand rose fingers hovering just [just]" |
| | dialogueSentences | 54 | | tagDensity | 0.37 | | leniency | 0.741 | | rawRatio | 0.2 | | effectiveRatio | 0.148 | |
| 87.23% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1175 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "softly" | | 1 | "carefully" | | 2 | "suddenly" |
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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) | |
| 27.66% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1175 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "scanning" | | 1 | "familiar" | | 2 | "lilt" | | 3 | "desire" | | 4 | "dancing" | | 5 | "whisper" | | 6 | "constructed" | | 7 | "could feel" | | 8 | "traced" | | 9 | "pulse" | | 10 | "weight" | | 11 | "echoed" |
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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 | 75 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 109 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1164 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 827 | | uniqueNames | 8 | | maxNameDensity | 0.73 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 3 | | French | 1 | | Lucien | 6 | | Cardiff | 2 | | Safe | 1 | | Heat | 1 | | London | 1 | | Should | 3 |
| | persons | | 0 | "Eva" | | 1 | "Lucien" | | 2 | "Heat" | | 3 | "Should" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 62.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite touching" | | 1 | "tasted like whiskey and regret, like thre" |
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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 | 1164 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 19.08 | | std | 14.7 | | cv | 0.77 | | sampleLengths | | 0 | 4 | | 1 | 36 | | 2 | 37 | | 3 | 20 | | 4 | 41 | | 5 | 6 | | 6 | 22 | | 7 | 9 | | 8 | 40 | | 9 | 5 | | 10 | 18 | | 11 | 33 | | 12 | 1 | | 13 | 24 | | 14 | 10 | | 15 | 30 | | 16 | 4 | | 17 | 4 | | 18 | 39 | | 19 | 9 | | 20 | 16 | | 21 | 26 | | 22 | 6 | | 23 | 12 | | 24 | 35 | | 25 | 32 | | 26 | 7 | | 27 | 34 | | 28 | 1 | | 29 | 20 | | 30 | 3 | | 31 | 57 | | 32 | 14 | | 33 | 11 | | 34 | 23 | | 35 | 6 | | 36 | 25 | | 37 | 24 | | 38 | 50 | | 39 | 14 | | 40 | 3 | | 41 | 20 | | 42 | 3 | | 43 | 27 | | 44 | 16 | | 45 | 2 | | 46 | 3 | | 47 | 2 | | 48 | 41 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 75 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 152 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 109 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 832 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.037259615384615384 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.009615384615384616 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 109 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 109 | | mean | 10.68 | | std | 6.83 | | cv | 0.64 | | sampleLengths | | 0 | 4 | | 1 | 21 | | 2 | 15 | | 3 | 6 | | 4 | 16 | | 5 | 15 | | 6 | 18 | | 7 | 2 | | 8 | 22 | | 9 | 19 | | 10 | 6 | | 11 | 13 | | 12 | 9 | | 13 | 9 | | 14 | 3 | | 15 | 10 | | 16 | 5 | | 17 | 5 | | 18 | 17 | | 19 | 5 | | 20 | 11 | | 21 | 2 | | 22 | 5 | | 23 | 24 | | 24 | 9 | | 25 | 1 | | 26 | 24 | | 27 | 4 | | 28 | 6 | | 29 | 15 | | 30 | 15 | | 31 | 4 | | 32 | 4 | | 33 | 6 | | 34 | 22 | | 35 | 11 | | 36 | 9 | | 37 | 7 | | 38 | 9 | | 39 | 8 | | 40 | 18 | | 41 | 6 | | 42 | 12 | | 43 | 7 | | 44 | 18 | | 45 | 10 | | 46 | 32 | | 47 | 4 | | 48 | 3 | | 49 | 21 |
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| 72.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.48623853211009177 | | totalSentences | 109 | | uniqueOpeners | 53 | |
| 96.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 69 | | matches | | 0 | "Instead, I found myself stepping" | | 1 | "Instead, I rose on my" |
| | ratio | 0.029 | |
| 46.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 69 | | matches | | 0 | "His usual charcoal suit hung" | | 1 | "I should have slammed the" | | 2 | "His accent carried that familiar" | | 3 | "He was already settling onto" | | 4 | "I muttered at the cat" | | 5 | "His jaw tightened." | | 6 | "His hands in my hair." | | 7 | "he said quietly" | | 8 | "I crossed my arms, staying" | | 9 | "He set his cane against" | | 10 | "He leaned back, and for" | | 11 | "I stepped forward before I" | | 12 | "His voice dropped low, dangerous" | | 13 | "he said softly" | | 14 | "My mouth went dry." | | 15 | "His hand rose, fingers hovering" | | 16 | "He stepped closer, close enough" | | 17 | "His thumb traced the air" | | 18 | "I lifted my chin, meeting" | | 19 | "His canines had sharpened to" |
| | ratio | 0.435 | |
| 61.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 69 | | matches | | 0 | "Lucien stood in my doorway," | | 1 | "His usual charcoal suit hung" | | 2 | "I should have slammed the" | | 3 | "His accent carried that familiar" | | 4 | "He was already settling onto" | | 5 | "Ptolemy emerged from behind a" | | 6 | "I muttered at the cat" | | 7 | "Lucien's mismatched eyes tracked my" | | 8 | "His jaw tightened." | | 9 | "The memory hung between us" | | 10 | "That hotel room in Cardiff." | | 11 | "His hands in my hair." | | 12 | "The way he'd pulled back" | | 13 | "he said quietly" | | 14 | "I crossed my arms, staying" | | 15 | "He set his cane against" | | 16 | "Heat flashed through me." | | 17 | "He leaned back, and for" | | 18 | "The words hit like a" | | 19 | "I stepped forward before I" |
| | ratio | 0.797 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 1 | | matches | | 0 | "Had known since that first night in Cardiff when he'd shown up at my door bleeding and desperate, asking for help with a case that would change everything." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 2 | | matches | | 0 | "His voice dropped, dangerous" | | 1 | "His thumb traced, not quite touching" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "I muttered (mutter)" | | 1 | "I whispered (whisper)" |
| | dialogueSentences | 54 | | tagDensity | 0.111 | | leniency | 0.222 | | rawRatio | 0.333 | | effectiveRatio | 0.074 | |