| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" |
| | dialogueSentences | 30 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.1 | | effectiveRatio | 0.067 | |
| 79.64% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1228 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "perfectly" | | 1 | "gently" | | 2 | "carefully" | | 3 | "very" |
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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) | |
| 38.93% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1228 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "echoed" | | 1 | "comforting" | | 2 | "stark" | | 3 | "predator" | | 4 | "velvet" | | 5 | "chaotic" | | 6 | "weight" | | 7 | "flickered" | | 8 | "navigating" | | 9 | "unreadable" | | 10 | "echoing" | | 11 | "flicker" | | 12 | "perfect" | | 13 | "constructed" | | 14 | "warmth" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 85 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 85 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 103 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1221 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 962 | | uniqueNames | 9 | | maxNameDensity | 0.42 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Lucien" | | discoveredNames | | Ptolemy | 2 | | Persian | 1 | | Moreau | 1 | | French | 1 | | Thames | 1 | | Brick | 1 | | Lane | 1 | | Eva | 2 | | Lucien | 4 |
| | persons | | 0 | "Ptolemy" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.819 | | wordCount | 1221 | | matches | | 0 | "not to touch her, but to trace the crescent-shaped scar on her left wrist with the" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 103 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 34.89 | | std | 23.74 | | cv | 0.68 | | sampleLengths | | 0 | 35 | | 1 | 71 | | 2 | 27 | | 3 | 2 | | 4 | 74 | | 5 | 31 | | 6 | 27 | | 7 | 14 | | 8 | 23 | | 9 | 15 | | 10 | 20 | | 11 | 58 | | 12 | 2 | | 13 | 29 | | 14 | 71 | | 15 | 82 | | 16 | 18 | | 17 | 38 | | 18 | 30 | | 19 | 41 | | 20 | 47 | | 21 | 5 | | 22 | 31 | | 23 | 12 | | 24 | 45 | | 25 | 81 | | 26 | 15 | | 27 | 48 | | 28 | 15 | | 29 | 49 | | 30 | 19 | | 31 | 48 | | 32 | 12 | | 33 | 5 | | 34 | 81 |
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| 97.01% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 85 | | matches | | 0 | "was slicked" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 141 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 103 | | ratio | 0.01 | | matches | | 0 | "A flicker of something—amusement, perhaps—crossed his face." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 969 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 38 | | adverbRatio | 0.0392156862745098 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.01238390092879257 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 103 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 103 | | mean | 11.85 | | std | 8.01 | | cv | 0.676 | | sampleLengths | | 0 | 11 | | 1 | 6 | | 2 | 12 | | 3 | 3 | | 4 | 3 | | 5 | 20 | | 6 | 26 | | 7 | 13 | | 8 | 1 | | 9 | 1 | | 10 | 10 | | 11 | 12 | | 12 | 15 | | 13 | 2 | | 14 | 16 | | 15 | 14 | | 16 | 21 | | 17 | 23 | | 18 | 4 | | 19 | 6 | | 20 | 6 | | 21 | 15 | | 22 | 13 | | 23 | 14 | | 24 | 8 | | 25 | 6 | | 26 | 20 | | 27 | 3 | | 28 | 9 | | 29 | 6 | | 30 | 14 | | 31 | 6 | | 32 | 3 | | 33 | 16 | | 34 | 10 | | 35 | 16 | | 36 | 13 | | 37 | 2 | | 38 | 25 | | 39 | 4 | | 40 | 14 | | 41 | 25 | | 42 | 5 | | 43 | 13 | | 44 | 14 | | 45 | 16 | | 46 | 14 | | 47 | 12 | | 48 | 40 | | 49 | 6 |
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| 47.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.33980582524271846 | | totalSentences | 103 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 80 | | matches | | 0 | "She slid the chain across" | | 1 | "She pulled the door open" | | 2 | "He was a slash of" | | 3 | "His platinum hair was slicked" | | 4 | "His eyes found hers." | | 5 | "They swept over her, a" | | 6 | "He did not smile, but" | | 7 | "His voice was a low" | | 8 | "She kept her hand firm" | | 9 | "He gestured vaguely with his" | | 10 | "She made to close the" | | 11 | "His cane shot out, the" | | 12 | "Her breath hitched." | | 13 | "His nearness was a physical" | | 14 | "She could smell the crisp," | | 15 | "It was a world away" | | 16 | "His gaze flickered past her" | | 17 | "She held his stare, her" | | 18 | "He didn't blink, didn't waver." | | 19 | "He simply waited, a study" |
| | ratio | 0.625 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 80 | | matches | | 0 | "The sharp knock echoed the" | | 1 | "Rory’s hand froze above a" | | 2 | "Eva never knocked." | | 3 | "Nobody ever knocked." | | 4 | "A tabby cat, Ptolemy, uncurled" | | 5 | "The scent of chicken vindaloo" | | 6 | "She slid the chain across" | | 7 | "She pulled the door open" | | 8 | "The single bare bulb overhead" | | 9 | "He was a slash of" | | 10 | "His platinum hair was slicked" | | 11 | "The tailored suit fit his" | | 12 | "His eyes found hers." | | 13 | "The right, a warm, liquid" | | 14 | "The left, a flat, depthless" | | 15 | "They swept over her, a" | | 16 | "He did not smile, but" | | 17 | "His voice was a low" | | 18 | "She kept her hand firm" | | 19 | "He gestured vaguely with his" |
| | ratio | 0.925 | |
| 62.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 80 | | matches | | | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 2 | | matches | | 0 | "One hand rested on the ivory head of his cane, a casual pose that did nothing to soften the predator’s stillness about him." | | 1 | "They swept over her, a slow inventory that made the skin on her arms prickle." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "The words came out, final" | | 1 | "he murmured, his tone unreadable" |
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| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 30 | | tagDensity | 0.067 | | leniency | 0.133 | | rawRatio | 1 | | effectiveRatio | 0.133 | |