| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 3 | | adverbTags | | 0 | "Eva spoke quickly [quickly]" | | 1 | "Eva’s voice broke slightly [slightly]" | | 2 | "she said finally [finally]" |
| | dialogueSentences | 70 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0.2 | | effectiveRatio | 0.086 | |
| 92.64% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1358 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 81.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1358 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "scanned" | | 1 | "eyebrow" | | 2 | "silence" | | 3 | "weight" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
|
| | highlights | | 0 | "The weight of that moment" | | 1 | "hung in the air" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 114 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 114 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 169 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1351 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 69 | | wordCount | 960 | | uniqueNames | 11 | | maxNameDensity | 2.92 | | worstName | "Aurora" | | maxWindowNameDensity | 5 | | worstWindowName | "Eva" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Brewer | 1 | | Street | 1 | | Golden | 1 | | Empress | 1 | | Aurora | 28 | | Eva | 27 | | Silence | 1 | | Evan | 1 | | Silas | 6 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Empress" | | 3 | "Aurora" | | 4 | "Eva" | | 5 | "Silence" | | 6 | "Evan" | | 7 | "Silas" |
| | places | | | globalScore | 0.042 | | windowScore | 0 | |
| 83.33% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 2 | | matches | | 0 | "as if ridding herself of something heavy" | | 1 | "tasted like rust" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1351 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 169 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 94 | | mean | 14.37 | | std | 13.84 | | cv | 0.963 | | sampleLengths | | 0 | 67 | | 1 | 32 | | 2 | 10 | | 3 | 47 | | 4 | 7 | | 5 | 13 | | 6 | 1 | | 7 | 12 | | 8 | 1 | | 9 | 33 | | 10 | 3 | | 11 | 20 | | 12 | 7 | | 13 | 18 | | 14 | 19 | | 15 | 1 | | 16 | 7 | | 17 | 4 | | 18 | 16 | | 19 | 7 | | 20 | 1 | | 21 | 3 | | 22 | 15 | | 23 | 22 | | 24 | 10 | | 25 | 7 | | 26 | 4 | | 27 | 17 | | 28 | 26 | | 29 | 3 | | 30 | 1 | | 31 | 3 | | 32 | 22 | | 33 | 5 | | 34 | 10 | | 35 | 44 | | 36 | 12 | | 37 | 42 | | 38 | 5 | | 39 | 2 | | 40 | 16 | | 41 | 19 | | 42 | 13 | | 43 | 7 | | 44 | 15 | | 45 | 16 | | 46 | 2 | | 47 | 28 | | 48 | 7 | | 49 | 2 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 114 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 174 | | matches | (empty) | |
| 24.51% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 169 | | ratio | 0.041 | | matches | | 0 | "The old photographs on the wall stared out—black-and-white faces, decades dead." | | 1 | "His eyes met Aurora’s for a fraction of a second—a question in them." | | 2 | "Eva’s face shifted—something hard and old rising to the surface." | | 3 | "The weight of that moment—Eva standing in her own kitchen, the splintered wood, the man they had both once trusted—pressed down on her chest." | | 4 | "The years sat in the lines around her eyes—fine, faint, not yet deep." | | 5 | "Aurora looked around the bar—the maps on the walls, the black-and-white photographs, the green neon bleeding through the front windows." | | 6 | "Then Eva laughed—a real laugh this time, surprising and warm." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 970 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.03402061855670103 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007216494845360825 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 169 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 169 | | mean | 7.99 | | std | 5.69 | | cv | 0.712 | | sampleLengths | | 0 | 13 | | 1 | 9 | | 2 | 17 | | 3 | 9 | | 4 | 19 | | 5 | 12 | | 6 | 9 | | 7 | 11 | | 8 | 10 | | 9 | 8 | | 10 | 14 | | 11 | 10 | | 12 | 7 | | 13 | 8 | | 14 | 7 | | 15 | 8 | | 16 | 5 | | 17 | 1 | | 18 | 3 | | 19 | 9 | | 20 | 1 | | 21 | 20 | | 22 | 6 | | 23 | 7 | | 24 | 3 | | 25 | 14 | | 26 | 4 | | 27 | 2 | | 28 | 7 | | 29 | 12 | | 30 | 6 | | 31 | 8 | | 32 | 7 | | 33 | 4 | | 34 | 1 | | 35 | 7 | | 36 | 4 | | 37 | 16 | | 38 | 4 | | 39 | 3 | | 40 | 1 | | 41 | 3 | | 42 | 13 | | 43 | 2 | | 44 | 11 | | 45 | 11 | | 46 | 10 | | 47 | 7 | | 48 | 4 | | 49 | 12 |
| |
| 45.36% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3076923076923077 | | totalSentences | 169 | | uniqueOpeners | 52 | |
| 94.34% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 106 | | matches | | 0 | "Then Eva laughed—a real laugh" | | 1 | "Then she pulled a pen" | | 2 | "Then she finished her pint" |
| | ratio | 0.028 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 106 | | matches | | 0 | "Her black hair had dried" | | 1 | "She wore the red delivery" | | 2 | "She scanned the room with" | | 3 | "Her coat was long and" | | 4 | "She carried a leather satchel" | | 5 | "Her mouth opened a fraction." | | 6 | "She laughed once, a brittle" | | 7 | "He looked at Aurora, then" | | 8 | "He turned to Eva, one" | | 9 | "She softened it." | | 10 | "Her hands lay flat on" | | 11 | "She wore a thin gold" | | 12 | "He set them down without" | | 13 | "His eyes met Aurora’s for" | | 14 | "She shook her head, the" | | 15 | "He left them to it." | | 16 | "Her voice came out low" | | 17 | "She didn’t close the distance." | | 18 | "she said finally" | | 19 | "They didn’t touch glasses." |
| | ratio | 0.245 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 99 | | totalSentences | 106 | | matches | | 0 | "The green neon of The" | | 1 | "Aurora sat at a table" | | 2 | "Her black hair had dried" | | 3 | "She wore the red delivery" | | 4 | "Silas moved behind the bar" | | 5 | "The limp in his left" | | 6 | "The signet ring on his" | | 7 | "The door swung in on" | | 8 | "A woman stepped inside, furling" | | 9 | "She scanned the room with" | | 10 | "Her coat was long and" | | 11 | "Chestnut hair pulled back at" | | 12 | "She carried a leather satchel" | | 13 | "Aurora’s hand stopped halfway to" | | 14 | "The woman’s gaze swept past," | | 15 | "Her mouth opened a fraction." | | 16 | "Aurora’s spine straightened." | | 17 | "The name landed like a" | | 18 | "Eva crossed the room in" | | 19 | "She laughed once, a brittle" |
| | ratio | 0.934 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 106 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "Eva’s eyes moved, her hair, the delivery jacket" | | 1 | "Eva spoke quickly, as if ridding herself of something heavy" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 2 | | fancyTags | | 0 | "Eva spoke quickly (speak)" | | 1 | "Aurora spoke (speak)" |
| | dialogueSentences | 70 | | tagDensity | 0.114 | | leniency | 0.229 | | rawRatio | 0.25 | | effectiveRatio | 0.057 | |