| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 860 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "cautiously" | | 1 | "really" | | 2 | "utterly" |
| |
| 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) | |
| 47.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 860 | | totalAiIsms | 9 | | found | | 0 | | | 1 | | word | "down her spine" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | |
| | highlights | | 0 | "silence" | | 1 | "down her spine" | | 2 | "gleaming" | | 3 | "raced" | | 4 | "searing" | | 5 | "stomach" | | 6 | "desire" | | 7 | "pulse" | | 8 | "pumping" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "blood ran cold" | | 1 | "sent a shiver down" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 68 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 68 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 856 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 588 | | uniqueNames | 3 | | maxNameDensity | 2.89 | | worstName | "Lucien" | | maxWindowNameDensity | 5 | | worstWindowName | "Lucien" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.054 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | 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 | 856 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 86 | | matches | (empty) | |
| 63.85% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 26.75 | | std | 9.99 | | cv | 0.373 | | sampleLengths | | 0 | 41 | | 1 | 12 | | 2 | 16 | | 3 | 37 | | 4 | 33 | | 5 | 16 | | 6 | 27 | | 7 | 24 | | 8 | 33 | | 9 | 19 | | 10 | 18 | | 11 | 24 | | 12 | 19 | | 13 | 25 | | 14 | 25 | | 15 | 27 | | 16 | 36 | | 17 | 50 | | 18 | 26 | | 19 | 48 | | 20 | 25 | | 21 | 28 | | 22 | 26 | | 23 | 37 | | 24 | 25 | | 25 | 16 | | 26 | 32 | | 27 | 41 | | 28 | 10 | | 29 | 24 | | 30 | 27 | | 31 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 68 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 127 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 86 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 591 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.03553299492385787 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008460236886632826 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 9.95 | | std | 4.83 | | cv | 0.485 | | sampleLengths | | 0 | 9 | | 1 | 16 | | 2 | 11 | | 3 | 5 | | 4 | 12 | | 5 | 12 | | 6 | 4 | | 7 | 8 | | 8 | 14 | | 9 | 15 | | 10 | 6 | | 11 | 12 | | 12 | 15 | | 13 | 16 | | 14 | 12 | | 15 | 9 | | 16 | 6 | | 17 | 13 | | 18 | 11 | | 19 | 18 | | 20 | 9 | | 21 | 6 | | 22 | 10 | | 23 | 6 | | 24 | 3 | | 25 | 8 | | 26 | 10 | | 27 | 4 | | 28 | 1 | | 29 | 7 | | 30 | 7 | | 31 | 5 | | 32 | 10 | | 33 | 9 | | 34 | 3 | | 35 | 22 | | 36 | 11 | | 37 | 9 | | 38 | 5 | | 39 | 15 | | 40 | 12 | | 41 | 9 | | 42 | 5 | | 43 | 22 | | 44 | 9 | | 45 | 18 | | 46 | 23 | | 47 | 5 | | 48 | 9 | | 49 | 12 |
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| 60.08% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3953488372093023 | | totalSentences | 86 | | uniqueOpeners | 34 | |
| 99.50% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 67 | | matches | | 0 | "Cautiously, she approached the door." | | 1 | "Instead, she stepped aside, gesturing" |
| | ratio | 0.03 | |
| 46.87% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 67 | | matches | | 0 | "She frowned, setting down the" | | 1 | "It was too late for" | | 2 | "she called through the wood," | | 3 | "She hadn't seen Lucien since" | | 4 | "She sighed and undid the" | | 5 | "He leaned on his ivory-handled" | | 6 | "he murmured, a wry smile" | | 7 | "His gaze lingered on the" | | 8 | "She wouldn't let him bait" | | 9 | "Her abusive ex who'd nearly" | | 10 | "she whispered, shaking her head" | | 11 | "She'd signed a confidentiality agreement," | | 12 | "She shoved Lucien's chest, hard." | | 13 | "He leaned in close, his" | | 14 | "she hissed, rubbing her wrists" | | 15 | "He stepped forward, backing her" | | 16 | "She glared up at him," | | 17 | "Her words died as Lucien's" | | 18 | "She hated him." | | 19 | "She hated him so much." |
| | ratio | 0.433 | |
| 19.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 67 | | matches | | 0 | "The doorbell rang, shattering the" | | 1 | "She frowned, setting down the" | | 2 | "It was too late for" | | 3 | "she called through the wood," | | 4 | "The deep, accented voice sent" | | 5 | "Rory hesitated, her hand hovering" | | 6 | "She hadn't seen Lucien since" | | 7 | "The memory of his heterochromatic" | | 8 | "She sighed and undid the" | | 9 | "He leaned on his ivory-handled" | | 10 | "he murmured, a wry smile" | | 11 | "Rory resisted the urge to" | | 12 | "Lucien sauntered in, his tailored" | | 13 | "Rory's heart raced, anger and" | | 14 | "Lucien drawled, glancing around her" | | 15 | "His gaze lingered on the" | | 16 | "Rory spat, crossing her arms" | | 17 | "She wouldn't let him bait" | | 18 | "Lucien turned to face her," | | 19 | "Rory's blood ran cold." |
| | ratio | 0.881 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 5 | | matches | | 0 | "he murmured, a wry smile tugging at the corners of his mouth" | | 1 | "Rory shouted, bile stinging her tongue" | | 2 | "He leaned, his breath hot against her ear" | | 3 | "he panted, his free hand sliding up her thigh" | | 4 | "she gasped, fingers scrabbling at his shoulders" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 11 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "Lucien drawled (drawl)" | | 2 | "Rory spat (spit)" | | 3 | "she whispered (whisper)" | | 4 | "Rory snarled (snarl)" | | 5 | "Rory shouted (shout)" | | 6 | "she hissed (hiss)" | | 7 | "he panted (pant)" | | 8 | "Rory whispered (whisper)" | | 9 | "Lucien breathed (breathe)" | | 10 | "she gasped (gasp)" |
| | dialogueSentences | 36 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.917 | | effectiveRatio | 0.611 | |