| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1643 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1643 | | totalAiIsms | 40 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | word | "carried the weight" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | | | 26 | | | 27 | | | 28 | |
| | highlights | | 0 | "echoed" | | 1 | "flickered" | | 2 | "familiar" | | 3 | "weight" | | 4 | "predator" | | 5 | "carried the weight" | | 6 | "encounter" | | 7 | "silence" | | 8 | "navigated" | | 9 | "chaotic" | | 10 | "pulsed" | | 11 | "imposing" | | 12 | "chill" | | 13 | "pulse" | | 14 | "solitary" | | 15 | "velvet" | | 16 | "vibrated" | | 17 | "ensuring" | | 18 | "unreadable" | | 19 | "fractured" | | 20 | "predictable" | | 21 | "cataloged" | | 22 | "electric" | | 23 | "flicked" | | 24 | "footsteps" | | 25 | "standard" | | 26 | "traced" | | 27 | "sanctuary" | | 28 | "desire" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 109 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 109 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 182 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1628 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 68.95% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 987 | | uniqueNames | 10 | | maxNameDensity | 1.62 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Moreau | 1 | | Lucien | 15 | | Eva | 2 | | London | 2 | | Latin | 1 | | Brick | 1 | | Lane | 1 | | Empress | 1 | | Rory | 16 | | Ptolemy | 3 |
| | persons | | 0 | "Moreau" | | 1 | "Lucien" | | 2 | "Eva" | | 3 | "Rory" | | 4 | "Ptolemy" |
| | places | | | globalScore | 0.689 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | 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 | 1628 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 182 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 112 | | mean | 14.54 | | std | 12.33 | | cv | 0.849 | | sampleLengths | | 0 | 25 | | 1 | 7 | | 2 | 6 | | 3 | 52 | | 4 | 1 | | 5 | 26 | | 6 | 10 | | 7 | 22 | | 8 | 5 | | 9 | 16 | | 10 | 11 | | 11 | 49 | | 12 | 4 | | 13 | 28 | | 14 | 7 | | 15 | 47 | | 16 | 7 | | 17 | 5 | | 18 | 52 | | 19 | 24 | | 20 | 4 | | 21 | 8 | | 22 | 27 | | 23 | 8 | | 24 | 15 | | 25 | 6 | | 26 | 44 | | 27 | 5 | | 28 | 4 | | 29 | 8 | | 30 | 28 | | 31 | 35 | | 32 | 17 | | 33 | 30 | | 34 | 5 | | 35 | 5 | | 36 | 20 | | 37 | 2 | | 38 | 5 | | 39 | 5 | | 40 | 31 | | 41 | 15 | | 42 | 4 | | 43 | 29 | | 44 | 15 | | 45 | 13 | | 46 | 4 | | 47 | 11 | | 48 | 19 | | 49 | 4 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 109 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 153 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 182 | | ratio | 0.005 | | matches | | 0 | "The mismatched eyes caught the hallway lighting—one a depthless void of black, the other a striking predator amber." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 995 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 10 | | adverbRatio | 0.010050251256281407 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0010050251256281408 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 182 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 182 | | mean | 8.95 | | std | 5.29 | | cv | 0.592 | | sampleLengths | | 0 | 2 | | 1 | 4 | | 2 | 2 | | 3 | 7 | | 4 | 2 | | 5 | 8 | | 6 | 7 | | 7 | 6 | | 8 | 10 | | 9 | 15 | | 10 | 12 | | 11 | 15 | | 12 | 1 | | 13 | 7 | | 14 | 10 | | 15 | 9 | | 16 | 10 | | 17 | 4 | | 18 | 18 | | 19 | 5 | | 20 | 16 | | 21 | 11 | | 22 | 17 | | 23 | 6 | | 24 | 16 | | 25 | 10 | | 26 | 4 | | 27 | 4 | | 28 | 8 | | 29 | 16 | | 30 | 7 | | 31 | 9 | | 32 | 15 | | 33 | 12 | | 34 | 4 | | 35 | 7 | | 36 | 7 | | 37 | 5 | | 38 | 8 | | 39 | 12 | | 40 | 6 | | 41 | 12 | | 42 | 14 | | 43 | 4 | | 44 | 11 | | 45 | 9 | | 46 | 4 | | 47 | 8 | | 48 | 27 | | 49 | 8 |
| |
| 43.77% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.3021978021978022 | | totalSentences | 182 | | uniqueOpeners | 55 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 101 | | matches | (empty) | | ratio | 0 | |
| 97.23% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 101 | | matches | | 0 | "He stood tall, both gloved" | | 1 | "His voice carried a familiar" | | 2 | "Her knuckles stretched raw and" | | 3 | "She refused to break eye" | | 4 | "He pulled the heavy door" | | 5 | "He padded forward, weaving a" | | 6 | "He scratched the animal behind" | | 7 | "Her thumb found the small" | | 8 | "He planted the cane in" | | 9 | "His amber eye tracked the" | | 10 | "He moved past a stack" | | 11 | "She tilted her chin up" | | 12 | "He abandoned the cane." | | 13 | "His hands hovered inches from" | | 14 | "He pulled them back, clasping" | | 15 | "He focused his attention on" | | 16 | "She searched his face for" | | 17 | "He brought a hand forward," | | 18 | "His thumb drifted over the" | | 19 | "She commanded her feet to" |
| | ratio | 0.307 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 96 | | totalSentences | 101 | | matches | | 0 | "Brass bit into skin." | | 1 | "Iron scraped against a rusted" | | 2 | "A loud snap echoed down" | | 3 | "Rory pulled the warped wooden" | | 4 | "Lucien Moreau stood on the" | | 5 | "Shadows settled into the sharp" | | 6 | "The bare bulb overhead flickered," | | 7 | "A distinct layer of rain" | | 8 | "He stood tall, both gloved" | | 9 | "His voice carried a familiar" | | 10 | "Rory clamped her fingers around" | | 11 | "Her knuckles stretched raw and" | | 12 | "Lucien shifted his weight." | | 13 | "The mismatched eyes caught the" | | 14 | "Rory inhaled the distinct sting" | | 15 | "She refused to break eye" | | 16 | "The humid air between them" | | 17 | "Lucien crossed the threshold." | | 18 | "Rory yielded, stepping back into" | | 19 | "He pulled the heavy door" |
| | ratio | 0.95 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 101 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |