| 26.09% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 35 | | adverbTagCount | 8 | | adverbTags | | 0 | "Lucien leaned lightly [lightly]" | | 1 | "She stepped back [back]" | | 2 | "his mouth quirked upward [upward]" | | 3 | "he said quietly [quietly]" | | 4 | "she said finally [finally]" | | 5 | "he said simply [simply]" | | 6 | "she said finally [finally]" | | 7 | "Aurora stepped away [away]" |
| | dialogueSentences | 92 | | tagDensity | 0.38 | | leniency | 0.761 | | rawRatio | 0.229 | | effectiveRatio | 0.174 | |
| 89.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1478 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "lightly" | | 1 | "suddenly" | | 2 | "really" |
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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) | |
| 28.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1478 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "silence" | | 1 | "velvet" | | 2 | "calculating" | | 3 | "intensity" | | 4 | "tension" | | 5 | "pulse" | | 6 | "quickened" | | 7 | "familiar" | | 8 | "navigating" | | 9 | "methodical" | | 10 | "unspoken" | | 11 | "measured" | | 12 | "wavered" | | 13 | "raced" | | 14 | "could feel" | | 15 | "flickered" |
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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 | 96 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 96 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 152 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1460 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 30 | | unquotedAttributions | 0 | | matches | (empty) | |
| 75.20% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 869 | | uniqueNames | 13 | | maxNameDensity | 1.5 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 13 | | Lucien | 11 | | One | 1 | | Eva | 4 | | Nine | 2 | | Ptolemy | 2 | | London | 1 | | Heat | 1 | | Carter | 1 | | Knights | 1 | | Solemn | 1 | | Ash | 1 | | Cardiff | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Lucien" | | 2 | "One" | | 3 | "Eva" | | 4 | "Ptolemy" | | 5 | "Heat" | | 6 | "Carter" |
| | places | | | globalScore | 0.752 | | windowScore | 1 | |
| 38.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 3 | | matches | | 0 | "not quite human" | | 1 | "not quite touching" | | 2 | "Something like relief flickered across his f" |
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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 | 1460 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 152 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 89 | | mean | 16.4 | | std | 11.02 | | cv | 0.672 | | sampleLengths | | 0 | 40 | | 1 | 28 | | 2 | 37 | | 3 | 29 | | 4 | 3 | | 5 | 10 | | 6 | 21 | | 7 | 24 | | 8 | 15 | | 9 | 7 | | 10 | 27 | | 11 | 15 | | 12 | 52 | | 13 | 18 | | 14 | 19 | | 15 | 18 | | 16 | 8 | | 17 | 20 | | 18 | 15 | | 19 | 4 | | 20 | 22 | | 21 | 22 | | 22 | 41 | | 23 | 9 | | 24 | 2 | | 25 | 11 | | 26 | 40 | | 27 | 10 | | 28 | 12 | | 29 | 14 | | 30 | 26 | | 31 | 7 | | 32 | 23 | | 33 | 3 | | 34 | 24 | | 35 | 4 | | 36 | 5 | | 37 | 22 | | 38 | 14 | | 39 | 11 | | 40 | 4 | | 41 | 14 | | 42 | 14 | | 43 | 27 | | 44 | 25 | | 45 | 18 | | 46 | 9 | | 47 | 10 | | 48 | 11 | | 49 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 155 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 1 | | flaggedSentences | 10 | | totalSentences | 152 | | ratio | 0.066 | | matches | | 0 | "One amber eye, one black—both studying her with the calculating intensity that she remembered all too well." | | 1 | "He tapped his cane against the floorboards—once, twice." | | 2 | "The barb hit its mark; she saw it in the slight tightening around his eyes." | | 3 | "Something flashed across his face—so brief she almost missed it." | | 4 | "She'd wondered about that—how the astronomical costs of her treatment had mysteriously vanished." | | 5 | "She could smell his cologne now—sandalwood and something darker, something not quite human." | | 6 | "The Knights of Solemn Ash—religious zealots who believed in purging the world of \"unnatural\" beings." | | 7 | "\"They're not just targeting half-demons anymore.\" His gaze dropped to the crescent-shaped scar on her left wrist—the one he knew wasn't really from a childhood accident." | | 8 | "Despite everything, there was still that pull between them—that inexorable gravity that had drawn them together from the first moment they'd met." | | 9 | "She looked up at him—this man who had saved her life and broken her heart in equal measure." |
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| 79.18% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 883 | | adjectiveStacks | 1 | | stackExamples | | 0 | "Same sardonic little half-smile" |
| | adverbCount | 49 | | adverbRatio | 0.05549263873159683 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.021517553793884484 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 152 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 152 | | mean | 9.61 | | std | 5.58 | | cv | 0.581 | | sampleLengths | | 0 | 12 | | 1 | 3 | | 2 | 11 | | 3 | 14 | | 4 | 11 | | 5 | 17 | | 6 | 18 | | 7 | 14 | | 8 | 5 | | 9 | 29 | | 10 | 3 | | 11 | 10 | | 12 | 11 | | 13 | 10 | | 14 | 9 | | 15 | 15 | | 16 | 3 | | 17 | 9 | | 18 | 3 | | 19 | 7 | | 20 | 8 | | 21 | 19 | | 22 | 15 | | 23 | 18 | | 24 | 16 | | 25 | 18 | | 26 | 18 | | 27 | 14 | | 28 | 5 | | 29 | 8 | | 30 | 10 | | 31 | 8 | | 32 | 17 | | 33 | 3 | | 34 | 5 | | 35 | 2 | | 36 | 8 | | 37 | 4 | | 38 | 22 | | 39 | 15 | | 40 | 1 | | 41 | 6 | | 42 | 5 | | 43 | 24 | | 44 | 12 | | 45 | 9 | | 46 | 2 | | 47 | 11 | | 48 | 24 | | 49 | 16 |
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| 69.96% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4473684210526316 | | totalSentences | 152 | | uniqueOpeners | 68 | |
| 40.16% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 83 | | matches | | 0 | "Of course he knew exactly" |
| | ratio | 0.012 | |
| 85.06% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 83 | | matches | | 0 | "His voice slid through the" | | 1 | "She stepped back, hating the" | | 2 | "He didn't sit, instead standing" | | 3 | "he remarked, nodding toward her" | | 4 | "she countered, folding her arms" | | 5 | "He tapped his cane against" | | 6 | "He set his cane against" | | 7 | "He rolled up his sleeves" | | 8 | "he said quietly" | | 9 | "She moved to the kitchenette," | | 10 | "Her silence was answer enough." | | 11 | "she said finally" | | 12 | "His heterochromatic gaze held hers" | | 13 | "She laughed, a brittle sound" | | 14 | "He'd always called her Carter," | | 15 | "She'd wondered about that—how the" | | 16 | "she said, though the conviction" | | 17 | "She could smell his cologne" | | 18 | "He stopped when barely a" | | 19 | "he said simply" |
| | ratio | 0.337 | |
| 56.39% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 83 | | matches | | 0 | "The first thing Aurora registered" | | 1 | "His voice slid through the" | | 2 | "Aurora gripped the doorframe of" | | 3 | "Lucien leaned lightly on his" | | 4 | "A hiss and scrabble of" | | 5 | "The tabby wound between Aurora's" | | 6 | "Lucien asked with exaggerated politeness" | | 7 | "Aurora's jaw tightened." | | 8 | "The tension between them crackled" | | 9 | "She stepped back, hating the" | | 10 | "Lucien moved through the cramped" | | 11 | "He didn't sit, instead standing" | | 12 | "he remarked, nodding toward her" | | 13 | "she countered, folding her arms" | | 14 | "He tapped his cane against" | | 15 | "The corner of his mouth" | | 16 | "Heat rushed to her face." | | 17 | "The barb hit its mark;" | | 18 | "He set his cane against" | | 19 | "The gesture was so presumptuous," |
| | ratio | 0.807 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 83 | | matches | (empty) | | ratio | 0 | |
| 56.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 4 | | matches | | 0 | "Same sardonic little half-smile that had once made her heart flip in her chest." | | 1 | "Despite everything, there was still that pull between them—that inexorable gravity that had drawn them together from the first moment they'd met." | | 2 | "She looked up at him—this man who had saved her life and broken her heart in equal measure." | | 3 | "This half-demon who kept secrets like others kept souvenirs." |
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| 96.43% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 35 | | uselessAdditionCount | 2 | | matches | | 0 | "Lucien reached out, his fingers hovering near her face but not quite touching" | | 1 | "Aurora stepped away, needing to clear her head" |
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| 73.91% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 16 | | fancyCount | 7 | | fancyTags | | 0 | "he agreed (agree)" | | 1 | "he conceded (concede)" | | 2 | "She laughed (laugh)" | | 3 | "she demanded (demand)" | | 4 | "she whispered (whisper)" | | 5 | "he continued (continue)" | | 6 | "Lucien agreed (agree)" |
| | dialogueSentences | 92 | | tagDensity | 0.174 | | leniency | 0.348 | | rawRatio | 0.438 | | effectiveRatio | 0.152 | |