| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "He glanced around [around]" |
| | dialogueSentences | 46 | | tagDensity | 0.37 | | leniency | 0.739 | | rawRatio | 0.059 | | effectiveRatio | 0.043 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1471 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 72.81% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1471 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "weight" | | 1 | "electric" | | 2 | "vibrated" | | 3 | "traced" | | 4 | "pulse" | | 5 | "porcelain" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 76 | | filterMatches | (empty) | | 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 | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1469 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 76.70% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 955 | | uniqueNames | 9 | | maxNameDensity | 1.47 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 14 | | Rory | 12 | | London | 1 | | Ptolemy | 2 | | Latin | 1 | | Leather | 1 | | Earl | 1 | | Grey | 1 | | Eva | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Rory" | | 2 | "Ptolemy" | | 3 | "Earl" | | 4 | "Grey" | | 5 | "Eva" |
| | places | | | globalScore | 0.767 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | 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 | 1469 | | 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 | 48 | | mean | 30.6 | | std | 18.23 | | cv | 0.596 | | sampleLengths | | 0 | 23 | | 1 | 9 | | 2 | 14 | | 3 | 15 | | 4 | 10 | | 5 | 25 | | 6 | 29 | | 7 | 58 | | 8 | 29 | | 9 | 48 | | 10 | 24 | | 11 | 33 | | 12 | 2 | | 13 | 53 | | 14 | 42 | | 15 | 29 | | 16 | 21 | | 17 | 34 | | 18 | 15 | | 19 | 8 | | 20 | 36 | | 21 | 46 | | 22 | 62 | | 23 | 6 | | 24 | 64 | | 25 | 40 | | 26 | 39 | | 27 | 11 | | 28 | 51 | | 29 | 28 | | 30 | 21 | | 31 | 9 | | 32 | 48 | | 33 | 5 | | 34 | 47 | | 35 | 29 | | 36 | 5 | | 37 | 12 | | 38 | 44 | | 39 | 18 | | 40 | 56 | | 41 | 28 | | 42 | 59 | | 43 | 4 | | 44 | 56 | | 45 | 38 | | 46 | 63 | | 47 | 23 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 148 | | matches | (empty) | |
| 60.44% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 104 | | ratio | 0.029 | | matches | | 0 | "She walked to the kitchenette—a glorified alcove wedged between a bookshelf and the bathroom door—and flipped the switch on the electric kettle." | | 1 | "He didn't use the cane for balance when he moved that fast; the demonic blood in his veins made a mockery of human limitations when his temper flared." | | 2 | "He didn't take the handle; his long fingers wrapped around her wrist, right over the crescent scar, his thumb pressing into the frantic rhythm of her pulse." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 964 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 15 | | adverbRatio | 0.015560165975103735 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.001037344398340249 | |
| 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 | 14.13 | | std | 8.96 | | cv | 0.634 | | sampleLengths | | 0 | 5 | | 1 | 18 | | 2 | 9 | | 3 | 7 | | 4 | 7 | | 5 | 7 | | 6 | 8 | | 7 | 10 | | 8 | 18 | | 9 | 7 | | 10 | 7 | | 11 | 2 | | 12 | 20 | | 13 | 17 | | 14 | 41 | | 15 | 22 | | 16 | 7 | | 17 | 26 | | 18 | 22 | | 19 | 6 | | 20 | 3 | | 21 | 15 | | 22 | 30 | | 23 | 3 | | 24 | 2 | | 25 | 12 | | 26 | 18 | | 27 | 3 | | 28 | 20 | | 29 | 6 | | 30 | 22 | | 31 | 8 | | 32 | 6 | | 33 | 15 | | 34 | 14 | | 35 | 20 | | 36 | 1 | | 37 | 6 | | 38 | 28 | | 39 | 15 | | 40 | 8 | | 41 | 3 | | 42 | 11 | | 43 | 5 | | 44 | 17 | | 45 | 20 | | 46 | 26 | | 47 | 31 | | 48 | 31 | | 49 | 6 |
| |
| 56.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.375 | | totalSentences | 104 | | uniqueOpeners | 39 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 74 | | matches | (empty) | | ratio | 0 | |
| 57.84% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 74 | | matches | | 0 | "She shoved the door toward" | | 1 | "He filled the doorway, a" | | 2 | "He kicked the door shut" | | 3 | "His jaw flexed." | | 4 | "He glanced around the cramped" | | 5 | "He crouched, his movements fluid" | | 6 | "She walked to the kitchenette—a" | | 7 | "She needed something in her" | | 8 | "He straightened, resting both hands" | | 9 | "She kept her back to" | | 10 | "He didn't use the cane" | | 11 | "Her hip knocked a stack" | | 12 | "she snapped, her bright blue" | | 13 | "He struck the floorboards with" | | 14 | "Her chest rose and fell," | | 15 | "He pulled his hand back" | | 16 | "His fingers tightened around the" | | 17 | "She poured the water into" | | 18 | "She turned, holding out a" | | 19 | "Her blue eyes locked onto" |
| | ratio | 0.405 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 71 | | totalSentences | 74 | | matches | | 0 | "The third deadbolt clicked back." | | 1 | "Rory yanked the heavy wood" | | 2 | "Platinum blond hair gleamed under" | | 3 | "Rory’s fingers tightened on the" | | 4 | "She shoved the door toward" | | 5 | "An ivory-handled cane shot into" | | 6 | "Wood struck bone-white resin with" | | 7 | "Rory leaned her weight against" | | 8 | "Lucien’s palm flattened against the" | | 9 | "The door swung wide, sliding" | | 10 | "He filled the doorway, a" | | 11 | "Rain darkened the shoulders of" | | 12 | "Lucien stepped inside, the tip" | | 13 | "He kicked the door shut" | | 14 | "Rory crossed her arms, her" | | 15 | "Lucien’s gaze dropped to her" | | 16 | "His jaw flexed." | | 17 | "He glanced around the cramped" | | 18 | "The tabby wound himself around" | | 19 | "Lucien didn't flinch." |
| | ratio | 0.959 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 74 | | matches | | 0 | "As if summoned, Ptolemy hopped" | | 1 | "Before she could pull back," |
| | ratio | 0.027 | |
| 50.69% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 4 | | matches | | 0 | "He crouched, his movements fluid despite the stiff knee that required the cane, and scratched behind the cat's notched ear." | | 1 | "Lucien leaned in, bracing his free hand on the counter beside her hip, caging her against the humming refrigerator." | | 2 | "He pulled his hand back from the counter as if the laminate had burned him." | | 3 | "Rory wrapped her legs around his hips, knocking a jar of pens into the sink as she dragged her fingers through his slick hair, ruining the careful style." |
| |
| 7.35% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 4 | | matches | | 0 | "Rory leaned, her bare heels digging into the threadbare rug" | | 1 | "Lucien stepped, the tip of his cane tapping the floorboards" | | 2 | "Lucien’s thumb traced, his touch trembling with a restraint that looked painful" | | 3 | "He lowered, his forehead resting against hers" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "Rory muttered (mutter)" | | 1 | "she snapped (snap)" |
| | dialogueSentences | 46 | | tagDensity | 0.043 | | leniency | 0.087 | | rawRatio | 1 | | effectiveRatio | 0.087 | |