| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 50 | | tagDensity | 0.42 | | leniency | 0.84 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1542 | | 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) | |
| 61.09% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1542 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "weight" | | 2 | "silk" | | 3 | "reminder" | | 4 | "jaw clenched" | | 5 | "measured" | | 6 | "chill" | | 7 | "warmth" | | 8 | "silence" | | 9 | "pulse" | | 10 | "shattered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 64 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 64 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 56 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1539 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 939 | | uniqueNames | 10 | | maxNameDensity | 0.75 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Moreau | 1 | | French | 2 | | Rory | 6 | | Amber | 1 | | Oxford | 1 | | Avaros | 1 | | Lucien | 7 | | Eva | 3 | | Ptolemy | 2 | | Mayfair | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Rory" | | 2 | "Amber" | | 3 | "Lucien" | | 4 | "Eva" | | 5 | "Ptolemy" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | 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 | 1539 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 32.06 | | std | 22.7 | | cv | 0.708 | | sampleLengths | | 0 | 9 | | 1 | 18 | | 2 | 63 | | 3 | 22 | | 4 | 24 | | 5 | 63 | | 6 | 23 | | 7 | 17 | | 8 | 26 | | 9 | 8 | | 10 | 51 | | 11 | 43 | | 12 | 18 | | 13 | 24 | | 14 | 29 | | 15 | 55 | | 16 | 9 | | 17 | 10 | | 18 | 75 | | 19 | 37 | | 20 | 23 | | 21 | 26 | | 22 | 8 | | 23 | 54 | | 24 | 15 | | 25 | 3 | | 26 | 10 | | 27 | 53 | | 28 | 64 | | 29 | 5 | | 30 | 70 | | 31 | 18 | | 32 | 18 | | 33 | 39 | | 34 | 5 | | 35 | 87 | | 36 | 83 | | 37 | 34 | | 38 | 22 | | 39 | 31 | | 40 | 19 | | 41 | 6 | | 42 | 48 | | 43 | 49 | | 44 | 4 | | 45 | 52 | | 46 | 13 | | 47 | 56 |
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| 99.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 64 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 145 | | matches | (empty) | |
| 50.69% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 93 | | ratio | 0.032 | | matches | | 0 | "The gesture had become a reflex whenever she stood in the same room with him—a reminder of fragile skin, of stupid mistakes, of survival." | | 1 | "He never walked like a normal man; he drifted with a slow, predatory leisure, the limp barely visible except in the measured strike of his ferrules against the floorboards." | | 2 | "His bare thumb—he had slipped the glove off without her noticing—grazed the corner of her jaw." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 950 | | adjectiveStacks | 1 | | stackExamples | | 0 | "low, gravel-edged French" |
| | adverbCount | 27 | | adverbRatio | 0.028421052631578948 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.00631578947368421 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 16.55 | | std | 10.96 | | cv | 0.662 | | sampleLengths | | 0 | 9 | | 1 | 18 | | 2 | 7 | | 3 | 19 | | 4 | 12 | | 5 | 25 | | 6 | 22 | | 7 | 10 | | 8 | 14 | | 9 | 40 | | 10 | 12 | | 11 | 7 | | 12 | 4 | | 13 | 23 | | 14 | 17 | | 15 | 17 | | 16 | 9 | | 17 | 8 | | 18 | 17 | | 19 | 18 | | 20 | 16 | | 21 | 27 | | 22 | 16 | | 23 | 7 | | 24 | 11 | | 25 | 17 | | 26 | 7 | | 27 | 22 | | 28 | 7 | | 29 | 7 | | 30 | 26 | | 31 | 17 | | 32 | 5 | | 33 | 9 | | 34 | 10 | | 35 | 21 | | 36 | 24 | | 37 | 30 | | 38 | 14 | | 39 | 23 | | 40 | 23 | | 41 | 6 | | 42 | 20 | | 43 | 8 | | 44 | 2 | | 45 | 29 | | 46 | 5 | | 47 | 2 | | 48 | 16 | | 49 | 15 |
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| 52.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.3978494623655914 | | totalSentences | 93 | | uniqueOpeners | 37 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 23.28% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 61 | | matches | | 0 | "His right gloved hand rested" | | 1 | "His voice held that low," | | 2 | "He tilted his head, his" | | 3 | "She moved to shut the" | | 4 | "he murmured, stepping toward the" | | 5 | "She backed up three paces" | | 6 | "He slipped inside without waiting" | | 7 | "He unbuttoned his coat" | | 8 | "He never walked like a" | | 9 | "He stopped two feet away." | | 10 | "she whispered, though the words" | | 11 | "His voice dropped into that" | | 12 | "She took a single step" | | 13 | "Her knuckles brushed against scattered" | | 14 | "Her chin jerked up, eyes" | | 15 | "She cut herself off, teeth" | | 16 | "He took the step she" | | 17 | "he snapped, the French accent" | | 18 | "Her breath hitched in her" | | 19 | "She remembered the firelight on" |
| | ratio | 0.492 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 61 | | matches | | 0 | "The third deadbolt groaned as" | | 1 | "Rory pulled the door back" | | 2 | "Lucien Moreau filled the narrow" | | 3 | "Rainwater pooled in the tailored" | | 4 | "His right gloved hand rested" | | 5 | "His voice held that low," | | 6 | "Rory kept her shoulder wedged" | | 7 | "He tilted his head, his" | | 8 | "Amber on the left, an" | | 9 | "Both eyes took her apart" | | 10 | "She moved to shut the" | | 11 | "The brass-capped tip of his" | | 12 | "he murmured, stepping toward the" | | 13 | "She backed up three paces" | | 14 | "He slipped inside without waiting" | | 15 | "The lock clicked home on" | | 16 | "The cramped hallway smelled instantly" | | 17 | "Downstairs, the tandoor ovens of" | | 18 | "A ginger blur streaked from" | | 19 | "Ptolemy threw himself against Lucien’s" |
| | ratio | 0.934 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 1 | | matches | | 0 | "And when dawn broke, he had been at his desk, cool, immaculate, arranging his ledgers as though her bare skin hadn't been pressed to his ribs three hours prior." |
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| 77.38% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 2 | | matches | | 0 | "she whispered, though the words lacked their previous bite, scraping her throat instead" | | 1 | "he said, the words falling hard and slow between them" |
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| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 5 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "she whispered (whisper)" | | 2 | "Lucien pressed (press)" | | 3 | "he snapped (snap)" | | 4 | "Lucien murmured (murmur)" |
| | dialogueSentences | 50 | | tagDensity | 0.16 | | leniency | 0.32 | | rawRatio | 0.625 | | effectiveRatio | 0.2 | |