| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "The voice shouted again [again]" |
| | dialogueSentences | 61 | | tagDensity | 0.115 | | leniency | 0.23 | | rawRatio | 0.143 | | effectiveRatio | 0.033 | |
| 81.26% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1334 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "precisely" | | 2 | "very" | | 3 | "really" |
| |
| 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) | |
| 70.01% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1334 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "gleaming" | | 1 | "chaotic" | | 2 | "sanctuary" | | 3 | "unsettled" | | 4 | "predator" | | 5 | "stomach" | | 6 | "could feel" | | 7 | "glint" |
| |
| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "eyes widened/narrowed" | | count | 1 |
| | 2 | | label | "stomach dropped/sank" | | count | 1 |
|
| | highlights | | 0 | "blood ran cold" | | 1 | "eyes narrowed" | | 2 | "stomach dropped" |
| |
| 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 | 0 | | hedgeCount | 0 | | narrationSentences | 96 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 150 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1323 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 91.31% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 852 | | uniqueNames | 7 | | maxNameDensity | 1.17 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Silas | 3 | | Moreau | 1 | | Ivory-handled | 1 | | Evan | 1 | | Lucien | 10 | | Cockney | 1 | | Elias | 2 |
| | persons | | 0 | "Silas" | | 1 | "Moreau" | | 2 | "Evan" | | 3 | "Lucien" | | 4 | "Elias" |
| | places | (empty) | | globalScore | 0.913 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | 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 | 1323 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 150 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 86 | | mean | 15.38 | | std | 14.55 | | cv | 0.946 | | sampleLengths | | 0 | 29 | | 1 | 15 | | 2 | 4 | | 3 | 67 | | 4 | 13 | | 5 | 5 | | 6 | 14 | | 7 | 36 | | 8 | 8 | | 9 | 18 | | 10 | 40 | | 11 | 4 | | 12 | 6 | | 13 | 3 | | 14 | 73 | | 15 | 4 | | 16 | 4 | | 17 | 23 | | 18 | 5 | | 19 | 10 | | 20 | 2 | | 21 | 1 | | 22 | 56 | | 23 | 5 | | 24 | 38 | | 25 | 10 | | 26 | 18 | | 27 | 9 | | 28 | 2 | | 29 | 16 | | 30 | 39 | | 31 | 31 | | 32 | 15 | | 33 | 4 | | 34 | 4 | | 35 | 1 | | 36 | 8 | | 37 | 1 | | 38 | 39 | | 39 | 23 | | 40 | 16 | | 41 | 3 | | 42 | 3 | | 43 | 33 | | 44 | 21 | | 45 | 11 | | 46 | 26 | | 47 | 2 | | 48 | 13 | | 49 | 3 |
| |
| 97.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 96 | | matches | | 0 | "was slicked" | | 1 | "been locked" |
| |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 136 | | matches | | 0 | "was rattling" | | 1 | "was turning" |
| |
| 66.67% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 150 | | ratio | 0.027 | | matches | | 0 | "His platinum hair was slicked back, exposing the sharp lines of his face and the terrifying contrast of his eyes—one amber, one black." | | 1 | "His gaze swept over the chaotic sanctuary I called home—stacks of law texts, takeout menus, and the faint scent of ginger." | | 2 | "The smell of his cologne—the sharp, minty scent he always wore—drowned out the curry smell lingering from the curry house below." | | 3 | "A car horn blared from the street below—long, sharp, and incessant." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 860 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.031395348837209305 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.011627906976744186 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 150 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 150 | | mean | 8.82 | | std | 6.6 | | cv | 0.748 | | sampleLengths | | 0 | 7 | | 1 | 3 | | 2 | 19 | | 3 | 4 | | 4 | 11 | | 5 | 4 | | 6 | 5 | | 7 | 15 | | 8 | 24 | | 9 | 23 | | 10 | 13 | | 11 | 5 | | 12 | 14 | | 13 | 18 | | 14 | 18 | | 15 | 8 | | 16 | 18 | | 17 | 4 | | 18 | 21 | | 19 | 11 | | 20 | 4 | | 21 | 4 | | 22 | 6 | | 23 | 3 | | 24 | 15 | | 25 | 26 | | 26 | 6 | | 27 | 7 | | 28 | 19 | | 29 | 4 | | 30 | 4 | | 31 | 23 | | 32 | 5 | | 33 | 10 | | 34 | 2 | | 35 | 1 | | 36 | 15 | | 37 | 19 | | 38 | 7 | | 39 | 12 | | 40 | 3 | | 41 | 5 | | 42 | 2 | | 43 | 23 | | 44 | 13 | | 45 | 10 | | 46 | 18 | | 47 | 3 | | 48 | 6 | | 49 | 2 |
| |
| 45.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.32666666666666666 | | totalSentences | 150 | | uniqueOpeners | 49 | |
| 78.43% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 85 | | matches | | 0 | "Obviously, I was wrong." | | 1 | "Instead, his hand hovered near" |
| | ratio | 0.024 | |
| 36.47% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 85 | | matches | | 0 | "He wasn't exactly tall, but" | | 1 | "His charcoal suit was immaculate," | | 2 | "His platinum hair was slicked" | | 3 | "I backed up against the" | | 4 | "He stepped inside, the scent" | | 5 | "His gaze swept over the" | | 6 | "He looked bored, but his" | | 7 | "I stepped away from the" | | 8 | "It had been three months" | | 9 | "I thought that was the" | | 10 | "He walked further into the" | | 11 | "He leaped down, landing silently" | | 12 | "He looked down at the" | | 13 | "My stomach dropped." | | 14 | "I stopped, realizing too late" | | 15 | "I grabbed a random book" | | 16 | "He gestured to the front" | | 17 | "I looked at the rattle" | | 18 | "He took the last step," | | 19 | "I flinched, but he didn't" |
| | ratio | 0.459 | |
| 12.94% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 85 | | matches | | 0 | "The deadbolt gave a heavy" | | 1 | "The door pushed inward." | | 2 | "Lucien Moreau filled the doorway." | | 3 | "He wasn't exactly tall, but" | | 4 | "His charcoal suit was immaculate," | | 5 | "His platinum hair was slicked" | | 6 | "I backed up against the" | | 7 | "He stepped inside, the scent" | | 8 | "The Ivory-handled cane struck the" | | 9 | "Lucien ignored the joke." | | 10 | "His gaze swept over the" | | 11 | "He looked bored, but his" | | 12 | "The sash was rattling." | | 13 | "I stepped away from the" | | 14 | "It had been three months" | | 15 | "I thought that was the" | | 16 | "The gentle fade-out of a" | | 17 | "A shared night of passion" | | 18 | "He walked further into the" | | 19 | "Ptolemy the tabby hissed from" |
| | ratio | 0.894 | |
| 58.82% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 85 | | matches | | 0 | "If he pushed hard enough..." |
| | ratio | 0.012 | |
| 73.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 3 | | matches | | 0 | "A shared night of passion that got too messy, complicated by my trauma with Evan and his terrifying nature." | | 1 | "I just threw myself against it, listening to Elias on the other side, his breath coming in short gasps." | | 2 | "Lucien released my arm, but his hand lingered for a split second, a touch that sent a jolt of static through my skin." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "The voice shouted again (shout)" | | 1 | "Elias screamed (scream)" |
| | dialogueSentences | 61 | | tagDensity | 0.082 | | leniency | 0.164 | | rawRatio | 0.4 | | effectiveRatio | 0.066 | |