| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "Lucien remarked smoothly [smoothly]" |
| | dialogueSentences | 51 | | tagDensity | 0.392 | | leniency | 0.784 | | rawRatio | 0.05 | | effectiveRatio | 0.039 | |
| 85.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1372 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "completely" | | 1 | "lightly" | | 2 | "utterly" | | 3 | "truly" |
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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) | |
| 27.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1372 | | totalAiIsms | 20 | | found | | | highlights | | 0 | "abyssal" | | 1 | "velvet" | | 2 | "predictable" | | 3 | "flicked" | | 4 | "pulse" | | 5 | "stomach" | | 6 | "familiar" | | 7 | "traced" | | 8 | "weight" | | 9 | "calculated" | | 10 | "racing" | | 11 | "ensuring" | | 12 | "intensity" | | 13 | "whisper" | | 14 | "shattered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 98 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 54 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1372 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 922 | | uniqueNames | 9 | | maxNameDensity | 1.19 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 11 | | Moreau | 1 | | Avaros | 1 | | French | 1 | | Rory | 10 | | Italian | 1 | | Stacks | 1 | | Turkish | 1 | | Cardiff | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Rory" |
| | places | | | globalScore | 0.903 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like hitting solid granite wrapped" |
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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 | 1372 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 98 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 26.9 | | std | 21.8 | | cv | 0.81 | | sampleLengths | | 0 | 33 | | 1 | 4 | | 2 | 81 | | 3 | 31 | | 4 | 3 | | 5 | 34 | | 6 | 35 | | 7 | 3 | | 8 | 3 | | 9 | 12 | | 10 | 66 | | 11 | 8 | | 12 | 57 | | 13 | 20 | | 14 | 22 | | 15 | 38 | | 16 | 42 | | 17 | 9 | | 18 | 57 | | 19 | 53 | | 20 | 31 | | 21 | 5 | | 22 | 56 | | 23 | 6 | | 24 | 3 | | 25 | 2 | | 26 | 26 | | 27 | 3 | | 28 | 9 | | 29 | 57 | | 30 | 4 | | 31 | 5 | | 32 | 75 | | 33 | 54 | | 34 | 41 | | 35 | 19 | | 36 | 1 | | 37 | 72 | | 38 | 13 | | 39 | 31 | | 40 | 21 | | 41 | 25 | | 42 | 16 | | 43 | 3 | | 44 | 17 | | 45 | 12 | | 46 | 27 | | 47 | 38 | | 48 | 14 | | 49 | 39 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 134 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 98 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 930 | | adjectiveStacks | 1 | | stackExamples | | 0 | "massive, talon-tipped shadow" |
| | adverbCount | 22 | | adverbRatio | 0.023655913978494623 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008602150537634409 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 98 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 98 | | mean | 14 | | std | 8.63 | | cv | 0.616 | | sampleLengths | | 0 | 11 | | 1 | 22 | | 2 | 4 | | 3 | 16 | | 4 | 19 | | 5 | 7 | | 6 | 13 | | 7 | 26 | | 8 | 3 | | 9 | 14 | | 10 | 14 | | 11 | 3 | | 12 | 22 | | 13 | 12 | | 14 | 21 | | 15 | 14 | | 16 | 3 | | 17 | 3 | | 18 | 12 | | 19 | 12 | | 20 | 11 | | 21 | 16 | | 22 | 15 | | 23 | 12 | | 24 | 8 | | 25 | 28 | | 26 | 19 | | 27 | 10 | | 28 | 20 | | 29 | 22 | | 30 | 27 | | 31 | 11 | | 32 | 19 | | 33 | 15 | | 34 | 8 | | 35 | 9 | | 36 | 11 | | 37 | 18 | | 38 | 28 | | 39 | 37 | | 40 | 16 | | 41 | 17 | | 42 | 14 | | 43 | 5 | | 44 | 14 | | 45 | 15 | | 46 | 5 | | 47 | 22 | | 48 | 6 | | 49 | 3 |
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| 67.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4387755102040816 | | totalSentences | 98 | | uniqueOpeners | 43 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 54.92% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 63 | | matches | | 0 | "He leaned lightly upon his" | | 1 | "His French vowels rolled through" | | 2 | "His amber eye flicked down" | | 3 | "He stepped across the threshold" | | 4 | "It felt like hitting solid" | | 5 | "he murmured, his face inches" | | 6 | "He smelled of cedar, vintage" | | 7 | "She backed away, rubbing the" | | 8 | "He cast a languid glance" | | 9 | "He halted two paces from" | | 10 | "His heterochromatic gaze turned razor-sharp." | | 11 | "He dropped his cane against" | | 12 | "His hand cupped the side" | | 13 | "His touch was cold, but" | | 14 | "he whispered, his thumb resting" | | 15 | "Her breath hitched." | | 16 | "She looked into his eyes," | | 17 | "she said, her voice dropping" | | 18 | "He leaned in, his lips" | | 19 | "She felt the pull of" |
| | ratio | 0.413 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 63 | | matches | | 0 | "The third heavy brass deadbolt" | | 1 | "Rory yanked the timber door" | | 2 | "Lucien Moreau stood on the" | | 3 | "Rain glistened on his slicked-back" | | 4 | "He leaned lightly upon his" | | 5 | "His French vowels rolled through" | | 6 | "His amber eye flicked down" | | 7 | "Rory tightened her grip on" | | 8 | "He stepped across the threshold" | | 9 | "Rory lunged to block the" | | 10 | "It felt like hitting solid" | | 11 | "Lucien caught her wrist in" | | 12 | "The paring knife dropped, clattering" | | 13 | "he murmured, his face inches" | | 14 | "The smell of him hit" | | 15 | "He smelled of cedar, vintage" | | 16 | "Heat flared low in Rory's" | | 17 | "Ptolemy hissed from the top" | | 18 | "Lucien remarked smoothly, releasing her" | | 19 | "She backed away, rubbing the" |
| | ratio | 0.937 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 1 | | matches | | 0 | "Lucien smiled, a slow, predatory curving of his lips that showed the slight, unnatural sharpness of his canines." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 4 | | matches | | 0 | "he whispered, his thumb resting directly over her racing carotid artery," | | 1 | "she said, her voice dropping to a harsh whisper" | | 2 | "Lucien said, his tone shifting from intimate threat to icy professionalism" | | 3 | "Lucien retrieved, his expression darkening into something lethal" |
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| 71.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 4 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "he whispered (whisper)" | | 2 | "she warned (warn)" | | 3 | "he murmured (murmur)" |
| | dialogueSentences | 51 | | tagDensity | 0.176 | | leniency | 0.353 | | rawRatio | 0.444 | | effectiveRatio | 0.157 | |