| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 1 | | adverbTags | | 0 | "she said finally [finally]" |
| | dialogueSentences | 22 | | tagDensity | 0.636 | | leniency | 1 | | rawRatio | 0.071 | | effectiveRatio | 0.071 | |
| 81.93% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 830 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "softly" | | 2 | "quickly" |
| |
| 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 | 830 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | word | "down her spine" | | count | 1 |
| | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "gleaming" | | 1 | "silk" | | 2 | "reminder" | | 3 | "fluttered" | | 4 | "navigating" | | 5 | "unspoken" | | 6 | "tension" | | 7 | "etched" | | 8 | "palpable" | | 9 | "down her spine" | | 10 | "silence" | | 11 | "measured" | | 12 | "furrowed" | | 13 | "raced" | | 14 | "pounding" | | 15 | "depths" | | 16 | "weight" | | 17 | "treacherous" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
| | 2 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "hung in the air" | | 2 | "sent a shiver down" |
| |
| 86.24% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 43 | | matches | | 0 | "was proud" | | 1 | "a spark of determination" |
| |
| 76.41% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 43 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 52 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 830 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 640 | | uniqueNames | 4 | | maxNameDensity | 2.03 | | worstName | "Aurora" | | maxWindowNameDensity | 4 | | worstWindowName | "Lucien" | | discoveredNames | | Carter | 1 | | Lucien | 12 | | Aurora | 13 | | London | 1 |
| | persons | | 0 | "Carter" | | 1 | "Lucien" | | 2 | "Aurora" |
| | places | | | globalScore | 0.484 | | windowScore | 0.333 | |
| 87.50% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 830 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 52 | | matches | | |
| 73.05% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 20 | | mean | 41.5 | | std | 16.84 | | cv | 0.406 | | sampleLengths | | 0 | 55 | | 1 | 67 | | 2 | 93 | | 3 | 31 | | 4 | 54 | | 5 | 52 | | 6 | 34 | | 7 | 38 | | 8 | 39 | | 9 | 29 | | 10 | 22 | | 11 | 41 | | 12 | 22 | | 13 | 45 | | 14 | 31 | | 15 | 23 | | 16 | 27 | | 17 | 33 | | 18 | 45 | | 19 | 49 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 43 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 112 | | matches | | |
| 87.91% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 52 | | ratio | 0.019 | | matches | | 0 | "\"Rory,\" he acknowledged, his deep voice smooth as silk, yet carrying a hint of something more - a spark she couldn't quite place." |
| |
| 98.45% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 407 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.04176904176904177 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.012285012285012284 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 52 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 52 | | mean | 15.96 | | std | 7.17 | | cv | 0.449 | | sampleLengths | | 0 | 10 | | 1 | 23 | | 2 | 22 | | 3 | 22 | | 4 | 22 | | 5 | 23 | | 6 | 18 | | 7 | 21 | | 8 | 16 | | 9 | 9 | | 10 | 26 | | 11 | 3 | | 12 | 7 | | 13 | 24 | | 14 | 17 | | 15 | 19 | | 16 | 18 | | 17 | 21 | | 18 | 20 | | 19 | 11 | | 20 | 20 | | 21 | 14 | | 22 | 24 | | 23 | 14 | | 24 | 12 | | 25 | 14 | | 26 | 13 | | 27 | 11 | | 28 | 18 | | 29 | 19 | | 30 | 3 | | 31 | 13 | | 32 | 9 | | 33 | 19 | | 34 | 8 | | 35 | 14 | | 36 | 23 | | 37 | 22 | | 38 | 17 | | 39 | 9 | | 40 | 5 | | 41 | 5 | | 42 | 18 | | 43 | 17 | | 44 | 10 | | 45 | 13 | | 46 | 20 | | 47 | 24 | | 48 | 11 | | 49 | 10 |
| |
| 91.03% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5576923076923077 | | totalSentences | 52 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 43 | | matches | (empty) | | ratio | 0 | |
| 99.07% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 43 | | matches | | 0 | "she stated, her voice neutral," | | 1 | "His heterochromatic eyes, one amber" | | 2 | "he acknowledged, his deep voice" | | 3 | "Her mind fluttered back to" | | 4 | "She pushed the memories aside," | | 5 | "She glanced at the small" | | 6 | "He paused, his eyes locked" | | 7 | "she said finally, her voice" | | 8 | "It was a polite gesture," | | 9 | "He stopped by the window," | | 10 | "She handed one to Lucien," | | 11 | "he began, his voice measured" | | 12 | "she stated, the decision made" |
| | ratio | 0.302 | |
| 18.14% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 43 | | matches | | 0 | "The door creaked open, its" | | 1 | "Aurora Carter's bright blue eyes" | | 2 | "she stated, her voice neutral," | | 3 | "Lucien, ever the epitizen of" | | 4 | "His heterochromatic eyes, one amber" | | 5 | "he acknowledged, his deep voice" | | 6 | "Aurora's gaze dropped to the" | | 7 | "Her mind fluttered back to" | | 8 | "Nights that had grown more" | | 9 | "She pushed the memories aside," | | 10 | "She glanced at the small" | | 11 | "Lucien's smile was a thin," | | 12 | "He paused, his eyes locked" | | 13 | "Aurora's first instinct was to" | | 14 | "she said finally, her voice" | | 15 | "Aurora closed the door behind" | | 16 | "The tension between them hummed," | | 17 | "Aurora asked, moving towards the" | | 18 | "It was a polite gesture," | | 19 | "Lucien replied, his voice low," |
| | ratio | 0.884 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 43 | | matches | | 0 | "Yet, a spark of curiosity," |
| | ratio | 0.023 | |
| 80.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 2 | | matches | | 0 | "Nights that had grown more tumultuous, ending in a crescendo of unspoken words and unresolved tension." | | 1 | "Without realizing it, Aurora had taken a step closer to Lucien, her heart pounding in her chest." |
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| 17.86% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 3 | | matches | | 0 | "Aurora prompted, her voice firm, cutting through the silence" | | 1 | "he began, his voice measured" | | 2 | "she stated, the decision made" |
| |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 4 | | fancyTags | | 0 | "she stated (state)" | | 1 | "he acknowledged (acknowledge)" | | 2 | "Lucien murmured (murmur)" | | 3 | "she stated (state)" |
| | dialogueSentences | 22 | | tagDensity | 0.318 | | leniency | 0.636 | | rawRatio | 0.571 | | effectiveRatio | 0.364 | |