| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 2 | | adverbTags | | 0 | "He turned away [away]" | | 1 | "He turned fully [fully]" |
| | dialogueSentences | 92 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.087 | | effectiveRatio | 0.043 | |
| 94.46% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1805 | | totalAiIsmAdverbs | 2 | | 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) | |
| 39.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1805 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | word | "down her spine" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | word | "carried the weight" | | count | 1 |
| | 16 | |
| | highlights | | 0 | "predator" | | 1 | "down her spine" | | 2 | "familiar" | | 3 | "weight" | | 4 | "pulse" | | 5 | "whisper" | | 6 | "gleaming" | | 7 | "echoed" | | 8 | "unreadable" | | 9 | "traced" | | 10 | "charged" | | 11 | "electric" | | 12 | "stomach" | | 13 | "flicked" | | 14 | "clenching" | | 15 | "carried the weight" | | 16 | "unspoken" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "stomach dropped/sank" | | count | 1 |
| | 2 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "stomach dropped" | | 2 | "sent a jolt through" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 148 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 148 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 214 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 9 | | markdownWords | 10 | | totalWords | 1793 | | ratio | 0.006 | | matches | | 0 | "chérie" | | 1 | "thunks" | | 2 | "ma belle" | | 3 | "us" | | 4 | "us" | | 5 | "chérie" | | 6 | "kitchen" | | 7 | "this" | | 8 | "Frenchman" |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 82 | | wordCount | 1325 | | uniqueNames | 7 | | maxNameDensity | 2.34 | | worstName | "Rory" | | maxWindowNameDensity | 6 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 18 | | Moreau | 1 | | Lucien | 26 | | Rory | 31 | | London | 1 | | Ptolemy | 2 | | Wanted | 3 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Lucien" | | 3 | "Rory" | | 4 | "Ptolemy" |
| | places | | | globalScore | 0.33 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 87 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like a library that had been marin" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.558 | | wordCount | 1793 | | matches | | 0 | "Not enough to crowd her, but enough to make the air between them hum" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 214 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 104 | | mean | 17.24 | | std | 15.03 | | cv | 0.872 | | sampleLengths | | 0 | 6 | | 1 | 41 | | 2 | 70 | | 3 | 20 | | 4 | 7 | | 5 | 32 | | 6 | 36 | | 7 | 21 | | 8 | 28 | | 9 | 11 | | 10 | 8 | | 11 | 53 | | 12 | 32 | | 13 | 9 | | 14 | 55 | | 15 | 5 | | 16 | 22 | | 17 | 1 | | 18 | 1 | | 19 | 51 | | 20 | 9 | | 21 | 43 | | 22 | 10 | | 23 | 26 | | 24 | 28 | | 25 | 8 | | 26 | 40 | | 27 | 23 | | 28 | 4 | | 29 | 40 | | 30 | 24 | | 31 | 32 | | 32 | 4 | | 33 | 1 | | 34 | 20 | | 35 | 42 | | 36 | 6 | | 37 | 11 | | 38 | 2 | | 39 | 8 | | 40 | 57 | | 41 | 1 | | 42 | 40 | | 43 | 49 | | 44 | 3 | | 45 | 40 | | 46 | 15 | | 47 | 9 | | 48 | 17 | | 49 | 19 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 148 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 245 | | matches | | 0 | "was standing" | | 1 | "was intoxicating" | | 2 | "was looking" |
| |
| 62.75% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 214 | | ratio | 0.028 | | matches | | 0 | "The scent of curry and old paper hit her first—Eva’s flat always smelled like a library that had been marinated in spices." | | 1 | "His heterochromatic eyes—amber and black—locked onto hers with the precision of a predator who’d been waiting for the right moment to strike." | | 2 | "Just a handful of stolen moments in the shadows of London’s underworld—whiskey-soaked confessions, feverish touches, the kind of conversations that left bruises." | | 3 | "But the way he was looking at her—like she was the only thing in the room that mattered—made her knees weak." | | 4 | "His hands were everywhere—tangling in her hair, skimming down her sides, gripping her thighs hard enough to bruise." | | 5 | "The taste of him—whiskey and something darker, something uniquely Lucien—flooded her senses." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1337 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 53 | | adverbRatio | 0.039640987284966345 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.006731488406881077 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 214 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 214 | | mean | 8.38 | | std | 6.79 | | cv | 0.81 | | sampleLengths | | 0 | 6 | | 1 | 15 | | 2 | 22 | | 3 | 4 | | 4 | 24 | | 5 | 22 | | 6 | 24 | | 7 | 20 | | 8 | 3 | | 9 | 4 | | 10 | 9 | | 11 | 9 | | 12 | 11 | | 13 | 3 | | 14 | 14 | | 15 | 22 | | 16 | 11 | | 17 | 4 | | 18 | 6 | | 19 | 14 | | 20 | 12 | | 21 | 2 | | 22 | 11 | | 23 | 4 | | 24 | 4 | | 25 | 20 | | 26 | 14 | | 27 | 19 | | 28 | 5 | | 29 | 22 | | 30 | 3 | | 31 | 2 | | 32 | 8 | | 33 | 1 | | 34 | 6 | | 35 | 6 | | 36 | 10 | | 37 | 33 | | 38 | 5 | | 39 | 20 | | 40 | 2 | | 41 | 1 | | 42 | 1 | | 43 | 4 | | 44 | 4 | | 45 | 22 | | 46 | 21 | | 47 | 5 | | 48 | 4 | | 49 | 3 |
| |
| 45.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3037383177570093 | | totalSentences | 214 | | uniqueOpeners | 65 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 135 | | matches | | 0 | "Then she saw him." | | 1 | "Just a handful of stolen" | | 2 | "Just stood there, his face" | | 3 | "Just the raw, desperate need" | | 4 | "Then she sighed, stepping inside" | | 5 | "Instead, she grabbed her jacket" |
| | ratio | 0.044 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 135 | | matches | | 0 | "His heterochromatic eyes—amber and black—locked" | | 1 | "She stepped inside, shutting the" | | 2 | "He took a slow sip" | | 3 | "She forced them still." | | 4 | "He pushed off the counter," | | 5 | "She should have stepped back." | | 6 | "She hated that he could" | | 7 | "His fingers brushed the back" | | 8 | "He turned away, his cane" | | 9 | "He glanced over his shoulder," | | 10 | "She stepped forward, her boots" | | 11 | "His voice was dangerously soft" | | 12 | "He turned fully toward her" | | 13 | "His black eye gleamed, unreadable." | | 14 | "He reached out, his fingers" | | 15 | "She wanted to hate him." | | 16 | "His name was barely a" | | 17 | "She didn’t care." | | 18 | "His hands were everywhere—tangling in" | | 19 | "he murmured against her throat," |
| | ratio | 0.207 | |
| 37.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 114 | | totalSentences | 135 | | matches | | 0 | "The deadbolt clicked like a" | | 1 | "Rory stood in the doorway," | | 2 | "The scent of curry and" | | 3 | "Lucien Moreau leaned against the" | | 4 | "His heterochromatic eyes—amber and black—locked" | | 5 | "The tailored charcoal suit he" | | 6 | "Rory said, because her brain" | | 7 | "Lucien’s mouth quirked." | | 8 | "The endearment slithered down her" | | 9 | "She stepped inside, shutting the" | | 10 | "The three deadbolts slid home" | | 11 | "He took a slow sip" | | 12 | "Rory’s fingers twitched toward the" | | 13 | "She forced them still." | | 14 | "Lucien set the mug down" | | 15 | "The last word hung between" | | 16 | "Rory crossed her arms." | | 17 | "He pushed off the counter," | | 18 | "She should have stepped back." | | 19 | "Lucien’s laugh was low, rough" |
| | ratio | 0.844 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 135 | | matches | (empty) | | ratio | 0 | |
| 82.07% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 4 | | matches | | 0 | "His heterochromatic eyes—amber and black—locked onto hers with the precision of a predator who’d been waiting for the right moment to strike." | | 1 | "Just the raw, desperate need of two people who had spent too long pretending they didn’t want this." | | 2 | "Lucien groaned against her lips, his cane clattering to the floor as he wrapped his arms around her, lifting her onto the kitchen counter." | | 3 | "His hands were everywhere—tangling in her hair, skimming down her sides, gripping her thighs hard enough to bruise." |
| |
| 16.30% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 5 | | matches | | 0 | "He glanced, his amber eye gleaming like a coin in the dark" | | 1 | "She stepped, her boots thudding against the floor" | | 2 | "he murmured, his teeth grazing her pulse point" | | 3 | "She leaned in, her lips brushing his ear" | | 4 | "he said, his voice low," |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 4 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "he murmured (murmur)" | | 2 | "he growled (growl)" | | 3 | "Eva muttered (mutter)" |
| | dialogueSentences | 92 | | tagDensity | 0.098 | | leniency | 0.196 | | rawRatio | 0.444 | | effectiveRatio | 0.087 | |