| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.122 | | leniency | 0.244 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1252 | | totalAiIsmAdverbs | 4 | | 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) | |
| 36.10% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1252 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "down her spine" | | count | 1 |
| | 10 | | | 11 | | | 12 | |
| | highlights | | 0 | "gleaming" | | 1 | "efficient" | | 2 | "velvet" | | 3 | "weight" | | 4 | "silence" | | 5 | "silk" | | 6 | "perfect" | | 7 | "tension" | | 8 | "resolve" | | 9 | "down her spine" | | 10 | "firmly" | | 11 | "desire" | | 12 | "echoed" |
| |
| 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 | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 105 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1252 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 792 | | uniqueNames | 4 | | maxNameDensity | 1.64 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Lucien | 6 | | Marseille | 1 | | Rory | 13 | | Cardiff | 1 |
| | persons | | | places | | | globalScore | 0.679 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 40.26% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.597 | | wordCount | 1252 | | matches | | 0 | "not for the envelope, but to shove his shoulder" | | 1 | "not to push her away, but to cup the back of her neck, his thumb grazing the hairline" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 21.22 | | std | 16.03 | | cv | 0.755 | | sampleLengths | | 0 | 33 | | 1 | 14 | | 2 | 41 | | 3 | 14 | | 4 | 24 | | 5 | 28 | | 6 | 33 | | 7 | 10 | | 8 | 14 | | 9 | 33 | | 10 | 17 | | 11 | 26 | | 12 | 33 | | 13 | 48 | | 14 | 8 | | 15 | 38 | | 16 | 3 | | 17 | 10 | | 18 | 34 | | 19 | 11 | | 20 | 12 | | 21 | 3 | | 22 | 9 | | 23 | 32 | | 24 | 13 | | 25 | 13 | | 26 | 43 | | 27 | 30 | | 28 | 3 | | 29 | 1 | | 30 | 35 | | 31 | 7 | | 32 | 1 | | 33 | 4 | | 34 | 39 | | 35 | 3 | | 36 | 8 | | 37 | 39 | | 38 | 5 | | 39 | 24 | | 40 | 53 | | 41 | 5 | | 42 | 5 | | 43 | 14 | | 44 | 6 | | 45 | 51 | | 46 | 13 | | 47 | 3 | | 48 | 9 | | 49 | 52 |
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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 | 126 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 105 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 384 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.0390625 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 105 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 105 | | mean | 11.92 | | std | 7.36 | | cv | 0.617 | | sampleLengths | | 0 | 17 | | 1 | 16 | | 2 | 14 | | 3 | 6 | | 4 | 15 | | 5 | 20 | | 6 | 14 | | 7 | 8 | | 8 | 8 | | 9 | 8 | | 10 | 28 | | 11 | 8 | | 12 | 25 | | 13 | 10 | | 14 | 14 | | 15 | 18 | | 16 | 15 | | 17 | 17 | | 18 | 7 | | 19 | 12 | | 20 | 7 | | 21 | 33 | | 22 | 3 | | 23 | 20 | | 24 | 25 | | 25 | 8 | | 26 | 19 | | 27 | 19 | | 28 | 3 | | 29 | 10 | | 30 | 9 | | 31 | 8 | | 32 | 2 | | 33 | 15 | | 34 | 11 | | 35 | 12 | | 36 | 3 | | 37 | 9 | | 38 | 9 | | 39 | 12 | | 40 | 3 | | 41 | 8 | | 42 | 13 | | 43 | 13 | | 44 | 8 | | 45 | 10 | | 46 | 15 | | 47 | 10 | | 48 | 30 | | 49 | 3 |
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| 44.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3238095238095238 | | totalSentences | 105 | | uniqueOpeners | 34 | |
| 51.28% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 65 | | matches | | 0 | "Instead, she found a wall" |
| | ratio | 0.015 | |
| 16.92% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 65 | | matches | | 0 | "He didn't wait for an" | | 1 | "He stepped inside, the silver" | | 2 | "He paused to survey the" | | 3 | "She leaned against the wood," | | 4 | "He looked exactly as he" | | 5 | "He moved toward the small" | | 6 | "He reached into his breast" | | 7 | "She could still feel the" | | 8 | "He tapped the envelope against" | | 9 | "She fought the urge to" | | 10 | "He shifted his weight, his" | | 11 | "She reached out, not for" | | 12 | "He didn't budge." | | 13 | "He was a rock wrapped" | | 14 | "He stood up, the distance" | | 15 | "He was taller, forcing her" | | 16 | "He leaned in, his voice" | | 17 | "He slid the envelope onto" | | 18 | "His fingers lingered near hers," | | 19 | "She slammed him back against" |
| | ratio | 0.508 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 65 | | matches | | 0 | "Rory yanked the door open," | | 1 | "He didn't wait for an" | | 2 | "He stepped inside, the silver" | | 3 | "He paused to survey the" | | 4 | "Rory closed the door with" | | 5 | "She leaned against the wood," | | 6 | "The small crescent-shaped scar on" | | 7 | "Lucien turned, a thin smile" | | 8 | "He looked exactly as he" | | 9 | "He moved toward the small" | | 10 | "Lucien let out a soft," | | 11 | "He reached into his breast" | | 12 | "The paper looked ancient, yellowed" | | 13 | "Rory didn't move." | | 14 | "The air between them thickened," | | 15 | "She could still feel the" | | 16 | "He tapped the envelope against" | | 17 | "Rory stepped closer, her gaze" | | 18 | "She fought the urge to" | | 19 | "He shifted his weight, his" |
| | ratio | 0.954 | |
| 76.92% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 65 | | matches | | 0 | "Just as Rory's head hit" |
| | ratio | 0.015 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 4 | | matches | | 0 | "His fingers lingered near hers, a ghost of a touch that sent a jolt of electricity up her arm." | | 1 | "His lips brushed hers, a teasing, infinitesimal contact that tasted of peppermint and danger." | | 2 | "She stopped fighting and leaned into him, her hands sliding from his throat to his chest, clutching the charcoal fabric." | | 3 | "A massive, grey-skinned creature with four eyes and a jaw that unhinged like a snake's lunged into the room, its claws shredding the velvet sofa in one swipe." |
| |
| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "he murmured, his lips trailing down to the hollow of her throat" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 41 | | tagDensity | 0.024 | | leniency | 0.049 | | rawRatio | 1 | | effectiveRatio | 0.049 | |