| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 1 | | adverbTags | | 0 | "She handed back [back]" |
| | dialogueSentences | 68 | | tagDensity | 0.324 | | leniency | 0.647 | | rawRatio | 0.045 | | effectiveRatio | 0.029 | |
| 82.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1397 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | | | 3 | |
| | highlights | | 0 | "carefully" | | 1 | "barely above a whisper" | | 2 | "very" | | 3 | "slowly" |
| |
| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 17.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1397 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "down her spine" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | word | "carried the weight" | | count | 1 |
| | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "echoed" | | 1 | "gleaming" | | 2 | "intensity" | | 3 | "stomach" | | 4 | "familiar" | | 5 | "down her spine" | | 6 | "tracing" | | 7 | "unreadable" | | 8 | "pulse" | | 9 | "quickened" | | 10 | "whisper" | | 11 | "dancing" | | 12 | "stark" | | 13 | "intricate" | | 14 | "potential" | | 15 | "carried the weight" | | 16 | "absolutely" | | 17 | "implication" | | 18 | "tension" | | 19 | "flickered" | | 20 | "weight" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 71 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 71 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 116 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1384 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.04% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 896 | | uniqueNames | 8 | | maxNameDensity | 1.34 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 12 | | Business | 1 | | Eva | 2 | | Lucien | 11 | | Ptolemy | 2 | | London | 1 | | Despite | 1 | | French | 1 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Lucien" | | 3 | "Ptolemy" |
| | places | | | globalScore | 0.83 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | 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 | 1384 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 116 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 21.97 | | std | 12.84 | | cv | 0.585 | | sampleLengths | | 0 | 55 | | 1 | 2 | | 2 | 28 | | 3 | 5 | | 4 | 31 | | 5 | 50 | | 6 | 19 | | 7 | 45 | | 8 | 22 | | 9 | 29 | | 10 | 26 | | 11 | 17 | | 12 | 41 | | 13 | 5 | | 14 | 20 | | 15 | 29 | | 16 | 11 | | 17 | 31 | | 18 | 5 | | 19 | 27 | | 20 | 2 | | 21 | 1 | | 22 | 28 | | 23 | 31 | | 24 | 16 | | 25 | 25 | | 26 | 15 | | 27 | 47 | | 28 | 5 | | 29 | 35 | | 30 | 23 | | 31 | 7 | | 32 | 26 | | 33 | 4 | | 34 | 28 | | 35 | 15 | | 36 | 40 | | 37 | 26 | | 38 | 36 | | 39 | 3 | | 40 | 47 | | 41 | 22 | | 42 | 4 | | 43 | 23 | | 44 | 26 | | 45 | 19 | | 46 | 18 | | 47 | 18 | | 48 | 43 | | 49 | 17 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 71 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 148 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 116 | | ratio | 0.052 | | matches | | 0 | "His mismatched eyes—one amber, one black—fixed on her face with an intensity that made her stomach clench." | | 1 | "She caught a whiff of his cologne—something expensive and foreign that reminded her of midnight conversations and choices she'd rather forget." | | 2 | "She'd expected denial, deflection—the elegant verbal dancing he excelled at." | | 3 | "Lucien reached into his jacket and withdrew a photograph—black and white, grainy with age." | | 4 | "The symbol was unlike anything in Eva's extensive research collection—ancient but wrong somehow, as if the very lines hurt to look at directly." | | 5 | "But even as she said it, her body betrayed her with memories—his hands in her hair, his voice whispering promises in French she pretended not to understand, the way he'd looked at her like she was something precious and dangerous all at once." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 907 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.03638368246968027 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.013230429988974642 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 116 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 116 | | mean | 11.93 | | std | 7.07 | | cv | 0.593 | | sampleLengths | | 0 | 19 | | 1 | 19 | | 2 | 17 | | 3 | 2 | | 4 | 16 | | 5 | 12 | | 6 | 5 | | 7 | 15 | | 8 | 16 | | 9 | 1 | | 10 | 2 | | 11 | 8 | | 12 | 18 | | 13 | 21 | | 14 | 12 | | 15 | 7 | | 16 | 22 | | 17 | 18 | | 18 | 5 | | 19 | 7 | | 20 | 13 | | 21 | 2 | | 22 | 20 | | 23 | 9 | | 24 | 8 | | 25 | 18 | | 26 | 11 | | 27 | 6 | | 28 | 7 | | 29 | 18 | | 30 | 16 | | 31 | 5 | | 32 | 10 | | 33 | 10 | | 34 | 11 | | 35 | 18 | | 36 | 6 | | 37 | 5 | | 38 | 7 | | 39 | 24 | | 40 | 5 | | 41 | 8 | | 42 | 19 | | 43 | 2 | | 44 | 1 | | 45 | 14 | | 46 | 14 | | 47 | 13 | | 48 | 18 | | 49 | 12 |
| |
| 68.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4396551724137931 | | totalSentences | 116 | | uniqueOpeners | 51 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 75.07% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 69 | | matches | | 0 | "His mismatched eyes—one amber, one" | | 1 | "She gripped the door frame" | | 2 | "He gestured with his ivory-handled" | | 3 | "She caught a whiff of" | | 4 | "She closed the door but" | | 5 | "He picked up a leather-bound" | | 6 | "Her voice came out sharper" | | 7 | "He set the journal down" | | 8 | "He stopped, jaw tightening" | | 9 | "She moved toward the door," | | 10 | "His voice dropped to barely" | | 11 | "She yanked her wrist free," | | 12 | "His heterochromatic eyes flashed dangerously." | | 13 | "She'd expected denial, deflection—the elegant" | | 14 | "Her voice came out smaller" | | 15 | "He held it out to" | | 16 | "His voice carried the weight" | | 17 | "She tested the word like" | | 18 | "Her name was soft on" | | 19 | "She handed back the photograph," |
| | ratio | 0.362 | |
| 10.72% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 69 | | matches | | 0 | "The door opened with a" | | 1 | "Lucien stood there, immaculate as" | | 2 | "His mismatched eyes—one amber, one" | | 3 | "The sound of her full" | | 4 | "She gripped the door frame" | | 5 | "He gestured with his ivory-handled" | | 6 | "Rory stepped aside, the movement" | | 7 | "Lucien moved past her into" | | 8 | "She caught a whiff of" | | 9 | "She closed the door but" | | 10 | "Lucien set his cane against" | | 11 | "Ptolemy emerged from beneath a" | | 12 | "The words hit her like" | | 13 | "Rory crossed her arms, a" | | 14 | "He picked up a leather-bound" | | 15 | "Her voice came out sharper" | | 16 | "Lucien's amber eye caught hers" | | 17 | "The endearment hit like a" | | 18 | "He set the journal down" | | 19 | "Rory laughed, the sound bitter" |
| | ratio | 0.899 | |
| 72.46% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 69 | | matches | | 0 | "Before she could respond, Ptolemy" |
| | ratio | 0.014 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 2 | | matches | | 0 | "His mismatched eyes—one amber, one black—fixed on her face with an intensity that made her stomach clench." | | 1 | "The symbol was unlike anything in Eva's extensive research collection—ancient but wrong somehow, as if the very lines hurt to look at directly." |
| |
| 34.09% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 4 | | matches | | 0 | "He picked up, fingers tracing its worn cover" | | 1 | "He stopped, jaw tightening" | | 2 | "She yanked, the absence of his touch immediate and unwelcome" | | 3 | "She handed back, fingers careful not to touch his" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 68 | | tagDensity | 0.029 | | leniency | 0.059 | | rawRatio | 0.5 | | effectiveRatio | 0.029 | |