| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 1 | | adverbTags | | 0 | "He glanced around [around]" |
| | dialogueSentences | 53 | | tagDensity | 0.302 | | leniency | 0.604 | | rawRatio | 0.063 | | effectiveRatio | 0.038 | |
| 84.52% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1292 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "really" | | 1 | "utterly" | | 2 | "suddenly" | | 3 | "completely" |
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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) | |
| 53.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1292 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "velvet" | | 1 | "weight" | | 2 | "silk" | | 3 | "tracing" | | 4 | "pulse" | | 5 | "traced" | | 6 | "rhythmic" | | 7 | "navigated" | | 8 | "churning" | | 9 | "fluttered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
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| | highlights | | 0 | "knuckles turned white" | | 1 | "hung in the air" |
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| 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 | 1 | | hedgeCount | 1 | | narrationSentences | 67 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1288 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 95.12% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 820 | | uniqueNames | 9 | | maxNameDensity | 1.1 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | Marseille | 1 | | Raindrops | 1 | | Ptolemy | 2 | | Lucien | 9 | | Curry | 1 | | Cardiff | 1 | | Rory | 8 | | Welsh | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Raindrops" | | 2 | "Ptolemy" | | 3 | "Lucien" | | 4 | "Curry" | | 5 | "Rory" |
| | places | | | globalScore | 0.951 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | 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 | 1288 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 104 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 23.85 | | std | 17.17 | | cv | 0.72 | | sampleLengths | | 0 | 25 | | 1 | 2 | | 2 | 49 | | 3 | 4 | | 4 | 18 | | 5 | 19 | | 6 | 38 | | 7 | 17 | | 8 | 18 | | 9 | 40 | | 10 | 8 | | 11 | 17 | | 12 | 5 | | 13 | 40 | | 14 | 18 | | 15 | 49 | | 16 | 6 | | 17 | 18 | | 18 | 59 | | 19 | 18 | | 20 | 15 | | 21 | 26 | | 22 | 2 | | 23 | 46 | | 24 | 7 | | 25 | 10 | | 26 | 52 | | 27 | 6 | | 28 | 49 | | 29 | 3 | | 30 | 28 | | 31 | 59 | | 32 | 6 | | 33 | 45 | | 34 | 5 | | 35 | 46 | | 36 | 24 | | 37 | 35 | | 38 | 24 | | 39 | 7 | | 40 | 5 | | 41 | 48 | | 42 | 35 | | 43 | 16 | | 44 | 47 | | 45 | 17 | | 46 | 39 | | 47 | 8 | | 48 | 2 | | 49 | 32 |
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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 | 138 | | matches | (empty) | |
| 5.49% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 104 | | ratio | 0.048 | | matches | | 0 | "One amber eye narrowed; the other, pure obsidian, tracked her every movement." | | 1 | "\"Consider it severance.\" Rory folded her arms across her chest, her thumb automatically tracing the crescent scar on her left wrist—a habit she cursed herself for revealing." | | 2 | "His skin burned against hers—far hotter than any human body had a right to be." | | 3 | "Rory’s breath caught—a tiny, sharp hitch in her chest." | | 4 | "He did not lie—his demon bloodline forbade it." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 826 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.025423728813559324 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006053268765133172 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 12.38 | | std | 6.3 | | cv | 0.509 | | sampleLengths | | 0 | 11 | | 1 | 14 | | 2 | 2 | | 3 | 16 | | 4 | 10 | | 5 | 12 | | 6 | 11 | | 7 | 4 | | 8 | 18 | | 9 | 12 | | 10 | 7 | | 11 | 24 | | 12 | 14 | | 13 | 12 | | 14 | 5 | | 15 | 8 | | 16 | 10 | | 17 | 11 | | 18 | 10 | | 19 | 19 | | 20 | 8 | | 21 | 13 | | 22 | 4 | | 23 | 5 | | 24 | 16 | | 25 | 24 | | 26 | 6 | | 27 | 7 | | 28 | 5 | | 29 | 27 | | 30 | 22 | | 31 | 6 | | 32 | 18 | | 33 | 10 | | 34 | 21 | | 35 | 13 | | 36 | 15 | | 37 | 5 | | 38 | 13 | | 39 | 15 | | 40 | 18 | | 41 | 8 | | 42 | 2 | | 43 | 18 | | 44 | 14 | | 45 | 14 | | 46 | 7 | | 47 | 10 | | 48 | 19 | | 49 | 22 |
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| 60.90% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3942307692307692 | | totalSentences | 104 | | uniqueOpeners | 41 | |
| 52.08% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 64 | | matches | | 0 | "Instead, she found an unravelling" |
| | ratio | 0.016 | |
| 51.25% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 27 | | totalSentences | 64 | | matches | | 0 | "His voice carried the dark," | | 1 | "He kicked the door shut" | | 2 | "She pointed a thumb toward" | | 3 | "He unbuttoned his coat, exposing" | | 4 | "His cane met the hardwood" | | 5 | "His gaze remained pinned to" | | 6 | "He snared her left wrist," | | 7 | "His skin burned against hers—far" | | 8 | "She planted her feet, bright" | | 9 | "His grip relaxed, yet his" | | 10 | "It rattled against his palm," | | 11 | "He traced the pale curve" | | 12 | "He glanced around the cramped" | | 13 | "He turned, his cane ticking" | | 14 | "He stopped beside her desk," | | 15 | "He caught it instantly." | | 16 | "He always caught the structural" | | 17 | "Her Welsh cadence slipped into" | | 18 | "He walked back toward her," | | 19 | "Her shoulders hit the rough" |
| | ratio | 0.422 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 64 | | matches | | 0 | "The last deadbolt gave way" | | 1 | "Rory swung the heavy oak" | | 2 | "Lucien Moreau leaned against the" | | 3 | "Platinum hair clung to his" | | 4 | "The ivory head of his" | | 5 | "His voice carried the dark," | | 6 | "Rory gripped the edge of" | | 7 | "Lucien stepped past the threshold," | | 8 | "He kicked the door shut" | | 9 | "The brass lock snapped home." | | 10 | "She pointed a thumb toward" | | 11 | "He unbuttoned his coat, exposing" | | 12 | "Raindrops pooled on the silver" | | 13 | "His cane met the hardwood" | | 14 | "Ptolemy slunk out from beneath" | | 15 | "The tabby inspected Lucien’s calf," | | 16 | "Lucien paid the cat no" | | 17 | "His gaze remained pinned to" | | 18 | "Rory folded her arms across" | | 19 | "Lucien closed the gap between" |
| | ratio | 0.969 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 84.94% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 3 | | matches | | 0 | "Rory reached forward, her fingers knotting into the front of his silk waistcoat, hauling him down until their faces were inches apart." | | 1 | "Rory searched his face, hunting for the ruthless broker who traded human lives like ledger columns." | | 2 | "Instead, she found an unravelling restraint, a raw, dangerous hunger that made her pulse spike harder than the threat of demon marshals outside." |
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| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | 0 | "He stopped, his breath warm against her cheek" |
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| 93.40% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 3 | | fancyTags | | 0 | "she snapped (snap)" | | 1 | "she murmured (murmur)" | | 2 | "he whispered (whisper)" |
| | dialogueSentences | 53 | | tagDensity | 0.057 | | leniency | 0.113 | | rawRatio | 1 | | effectiveRatio | 0.113 | |