| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1368 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 37.87% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1368 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "silence" | | 1 | "silk" | | 2 | "pulse" | | 3 | "simmering" | | 4 | "stomach" | | 5 | "navigated" | | 6 | "unreadable" | | 7 | "abyssal" | | 8 | "familiar" | | 9 | "velvet" | | 10 | "charm" | | 11 | "tracing" | | 12 | "vibrated" | | 13 | "gleaming" |
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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 | 81 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 81 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 106 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 1368 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 75.79% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1078 | | uniqueNames | 12 | | maxNameDensity | 1.48 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 16 | | Moreau | 1 | | Eva | 2 | | Persian | 1 | | Latin | 1 | | Ceramic | 1 | | Soho | 1 | | Silas | 1 | | Lucien | 11 | | Silence | 1 | | Ptolemy | 2 | | Click-clack | 3 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Silas" | | 4 | "Lucien" | | 5 | "Silence" | | 6 | "Ptolemy" |
| | places | | | globalScore | 0.758 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | 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 | 1368 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 106 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 24 | | std | 22.23 | | cv | 0.926 | | sampleLengths | | 0 | 13 | | 1 | 22 | | 2 | 3 | | 3 | 4 | | 4 | 5 | | 5 | 17 | | 6 | 47 | | 7 | 106 | | 8 | 4 | | 9 | 30 | | 10 | 26 | | 11 | 16 | | 12 | 63 | | 13 | 45 | | 14 | 2 | | 15 | 3 | | 16 | 8 | | 17 | 61 | | 18 | 35 | | 19 | 11 | | 20 | 1 | | 21 | 14 | | 22 | 9 | | 23 | 35 | | 24 | 9 | | 25 | 40 | | 26 | 38 | | 27 | 17 | | 28 | 4 | | 29 | 4 | | 30 | 8 | | 31 | 24 | | 32 | 64 | | 33 | 4 | | 34 | 19 | | 35 | 1 | | 36 | 28 | | 37 | 47 | | 38 | 4 | | 39 | 47 | | 40 | 32 | | 41 | 17 | | 42 | 6 | | 43 | 57 | | 44 | 14 | | 45 | 40 | | 46 | 6 | | 47 | 15 | | 48 | 78 | | 49 | 59 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 177 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 106 | | ratio | 0 | | matches | (empty) | |
| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1090 | | adjectiveStacks | 3 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "Ancient leather-bound tomes" | | 2 | "tight beneath smooth, pale skin." |
| | adverbCount | 21 | | adverbRatio | 0.01926605504587156 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.007339449541284404 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 106 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 106 | | mean | 12.91 | | std | 7.94 | | cv | 0.615 | | sampleLengths | | 0 | 13 | | 1 | 22 | | 2 | 3 | | 3 | 4 | | 4 | 5 | | 5 | 17 | | 6 | 5 | | 7 | 27 | | 8 | 12 | | 9 | 3 | | 10 | 18 | | 11 | 27 | | 12 | 9 | | 13 | 25 | | 14 | 27 | | 15 | 4 | | 16 | 14 | | 17 | 16 | | 18 | 11 | | 19 | 1 | | 20 | 1 | | 21 | 1 | | 22 | 12 | | 23 | 16 | | 24 | 13 | | 25 | 29 | | 26 | 21 | | 27 | 25 | | 28 | 20 | | 29 | 2 | | 30 | 3 | | 31 | 8 | | 32 | 8 | | 33 | 11 | | 34 | 24 | | 35 | 4 | | 36 | 14 | | 37 | 14 | | 38 | 9 | | 39 | 12 | | 40 | 11 | | 41 | 1 | | 42 | 14 | | 43 | 9 | | 44 | 26 | | 45 | 9 | | 46 | 9 | | 47 | 8 | | 48 | 12 | | 49 | 20 |
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| 84.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.5283018867924528 | | totalSentences | 106 | | uniqueOpeners | 56 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 75 | | matches | | 0 | "Too much like dark corners" | | 1 | "Instead, she leaned in closer," | | 2 | "Slowly, Lucien raised his clean" |
| | ratio | 0.04 | |
| 81.33% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 75 | | matches | | 0 | "Her pulse hammered against the" | | 1 | "She stepped back." | | 2 | "He leaned heavily on his" | | 3 | "Her hands remained steady, though" | | 4 | "He lowered himself onto a" | | 5 | "She filled a chipped Ceramic" | | 6 | "He set the cane against" | | 7 | "He smelled too familiar." | | 8 | "She unbuttoned his waistcoat and" | | 9 | "He tilted his head back," | | 10 | "His long fingers dug into" | | 11 | "She didn't pull away." | | 12 | "Her straight black hair swung" | | 13 | "he said, his voice dropping" | | 14 | "She tossed the bloodied towel" | | 15 | "His grip on her hip" | | 16 | "She looked down, meeting that" | | 17 | "His thumb stroked a slow," | | 18 | "His black eye seemed to" | | 19 | "His hand dropped from her" |
| | ratio | 0.347 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 75 | | matches | | 0 | "The third deadbolt clicked back," | | 1 | "Lucien Moreau leaned against the" | | 2 | "Rory gripped the brass doorknob." | | 3 | "Her pulse hammered against the" | | 4 | "She stepped back." | | 5 | "Lucien crossed the threshold, dragging" | | 6 | "The rich aromas of toasted" | | 7 | "Books towered on every flat" | | 8 | "Ptolemy, Eva's fat orange tabby," | | 9 | "He leaned heavily on his" | | 10 | "Sweat beaded along his hairline," | | 11 | "Rory kicked the door shut" | | 12 | "Her hands remained steady, though" | | 13 | "Lucien navigated the maze of" | | 14 | "The black eye swallowed the" | | 15 | "He lowered himself onto a" | | 16 | "Rory yanked open a cupboard," | | 17 | "She filled a chipped Ceramic" | | 18 | "He set the cane against" | | 19 | "Rory stepped between his knees" |
| | ratio | 0.8 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 50 | | technicalSentenceCount | 2 | | matches | | 0 | "Rory gasped against his lips, and he took advantage, deepening the kiss with a low groan that vibrated straight into her chest." | | 1 | "Rory rolled her hips, chasing the friction, her heart hammering a frantic beat against her ribs." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 35.71% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 4 | | fancyTags | | 0 | "Lucien murmured (murmur)" | | 1 | "Rory whispered (whisper)" | | 2 | "he murmured (murmur)" | | 3 | "Lucien ordered (order)" |
| | dialogueSentences | 35 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0.8 | | effectiveRatio | 0.229 | |