| 72.34% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 3 | | adverbTags | | 0 | "Lucien leaned lightly [lightly]" | | 1 | "he replied softly [softly]" | | 2 | "she said again [again]" |
| | dialogueSentences | 47 | | tagDensity | 0.362 | | leniency | 0.723 | | rawRatio | 0.176 | | effectiveRatio | 0.128 | |
| 82.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1134 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "lightly" | | 1 | "completely" | | 2 | "softly" | | 3 | "gently" |
| |
| 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) | |
| 60.32% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1134 | | totalAiIsms | 9 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "down her spine" | | count | 1 |
| | 4 | | | 5 | | | 6 | | | 7 | | | 8 | |
| | highlights | | 0 | "sanctuary" | | 1 | "effortless" | | 2 | "familiar" | | 3 | "down her spine" | | 4 | "vibrated" | | 5 | "pulse" | | 6 | "whisper" | | 7 | "tracing" | | 8 | "gleaming" |
| |
| 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 | 52 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 52 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1134 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 80.75% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 722 | | uniqueNames | 6 | | maxNameDensity | 1.39 | | worstName | "Lucien" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 8 | | Moreau | 1 | | Lucien | 10 | | Golden | 1 | | Empress | 1 | | French | 1 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Lucien" |
| | places | | | globalScore | 0.807 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | 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 | 1134 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 24.65 | | std | 19.38 | | cv | 0.786 | | sampleLengths | | 0 | 14 | | 1 | 56 | | 2 | 6 | | 3 | 38 | | 4 | 27 | | 5 | 3 | | 6 | 5 | | 7 | 44 | | 8 | 50 | | 9 | 8 | | 10 | 41 | | 11 | 6 | | 12 | 5 | | 13 | 60 | | 14 | 32 | | 15 | 4 | | 16 | 66 | | 17 | 26 | | 18 | 6 | | 19 | 35 | | 20 | 22 | | 21 | 15 | | 22 | 4 | | 23 | 8 | | 24 | 50 | | 25 | 30 | | 26 | 21 | | 27 | 11 | | 28 | 73 | | 29 | 16 | | 30 | 27 | | 31 | 5 | | 32 | 5 | | 33 | 62 | | 34 | 15 | | 35 | 29 | | 36 | 5 | | 37 | 30 | | 38 | 9 | | 39 | 30 | | 40 | 48 | | 41 | 10 | | 42 | 2 | | 43 | 12 | | 44 | 29 | | 45 | 34 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 52 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 115 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 82 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 728 | | adjectiveStacks | 2 | | stackExamples | | 0 | "long, leather-gloved fingers" | | 1 | "slender, gleaming silver blade" |
| | adverbCount | 26 | | adverbRatio | 0.03571428571428571 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.016483516483516484 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 13.83 | | std | 8.49 | | cv | 0.614 | | sampleLengths | | 0 | 14 | | 1 | 16 | | 2 | 17 | | 3 | 23 | | 4 | 6 | | 5 | 14 | | 6 | 24 | | 7 | 23 | | 8 | 4 | | 9 | 3 | | 10 | 5 | | 11 | 3 | | 12 | 21 | | 13 | 20 | | 14 | 24 | | 15 | 16 | | 16 | 10 | | 17 | 8 | | 18 | 28 | | 19 | 13 | | 20 | 6 | | 21 | 5 | | 22 | 31 | | 23 | 12 | | 24 | 17 | | 25 | 9 | | 26 | 23 | | 27 | 4 | | 28 | 18 | | 29 | 23 | | 30 | 25 | | 31 | 11 | | 32 | 15 | | 33 | 6 | | 34 | 32 | | 35 | 3 | | 36 | 22 | | 37 | 8 | | 38 | 7 | | 39 | 4 | | 40 | 8 | | 41 | 24 | | 42 | 8 | | 43 | 18 | | 44 | 13 | | 45 | 17 | | 46 | 8 | | 47 | 13 | | 48 | 11 | | 49 | 19 |
| |
| 56.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3780487804878049 | | totalSentences | 82 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 44.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 50 | | matches | | 0 | "His heterochromatic eyes swept over" | | 1 | "He stepped forward." | | 2 | "Her flat smelled of stale" | | 3 | "It wiped away her ordinary" | | 4 | "She retreated toward the small" | | 5 | "His polished black boot made" | | 6 | "Her voice rasped" | | 7 | "He tapped the ivory handle" | | 8 | "His golden right eye caught" | | 9 | "It felt pathetically light in" | | 10 | "she whispered, her cool composure" | | 11 | "he replied softly" | | 12 | "His voice dropped an octave," | | 13 | "It clattered loudly against the" | | 14 | "He closed the remaining distance" | | 15 | "His cane rested against her" | | 16 | "He smelled so distinctly of" | | 17 | "she asked, her voice dropping" | | 18 | "He slid his hand up" | | 19 | "he murmured, tilting his head" |
| | ratio | 0.44 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 50 | | matches | | 0 | "The deadbolt snapped back, and" | | 1 | "Lucien Moreau stood on the" | | 2 | "His heterochromatic eyes swept over" | | 3 | "Rory gripped the edge of" | | 4 | "Lucien leaned lightly on his" | | 5 | "He stepped forward." | | 6 | "Rory stood her ground for" | | 7 | "Lucien crossed the threshold, closing" | | 8 | "Her flat smelled of stale" | | 9 | "Lucien brought the scent of" | | 10 | "It wiped away her ordinary" | | 11 | "She retreated toward the small" | | 12 | "Lucien walked deeper into the" | | 13 | "His polished black boot made" | | 14 | "Her voice rasped" | | 15 | "He tapped the ivory handle" | | 16 | "His golden right eye caught" | | 17 | "The demonic blood in his" | | 18 | "Rory picked up a silver" | | 19 | "It felt pathetically light in" |
| | ratio | 0.94 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 7 | | matches | | 0 | "Rory gripped, her knuckles turning white" | | 1 | "Lucien leaned lightly, the ferrule clicking against the floorboards" | | 2 | "Lucien walked, his long stride effortless" | | 3 | "she whispered, her cool composure cracking at the edges" | | 4 | "Lucien corrected, his tone silky once more as he mastered his temper" | | 5 | "she asked, her voice dropping to a harsh whisper" | | 6 | "she said again, though the command lacked steel" |
| |
| 86.17% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "Lucien corrected (correct)" | | 2 | "he murmured (murmur)" |
| | dialogueSentences | 47 | | tagDensity | 0.191 | | leniency | 0.383 | | rawRatio | 0.333 | | effectiveRatio | 0.128 | |