| 84.62% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 3 | | adverbTags | | 0 | "He leaned slightly [slightly]" | | 1 | "Lucien's eyes darted around [around]" | | 2 | "His gaze flickered momentarily [momentarily]" |
| | dialogueSentences | 52 | | tagDensity | 0.365 | | leniency | 0.731 | | rawRatio | 0.158 | | effectiveRatio | 0.115 | |
| 75.45% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1222 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "cautiously" | | 1 | "perfectly" | | 2 | "slightly" | | 3 | "sharply" | | 4 | "lightly" |
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| 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 | 1222 | | totalAiIsms | 30 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | |
| | highlights | | 0 | "chaotic" | | 1 | "echoed" | | 2 | "silence" | | 3 | "chill" | | 4 | "pulse" | | 5 | "quickened" | | 6 | "fluttered" | | 7 | "fractured" | | 8 | "tension" | | 9 | "warmth" | | 10 | "simmering" | | 11 | "flickered" | | 12 | "wavering" | | 13 | "navigate" | | 14 | "pawn" | | 15 | "weight" | | 16 | "unwavering" | | 17 | "tangible" | | 18 | "resolve" | | 19 | "magnetic" | | 20 | "desire" | | 21 | "echoes" | | 22 | "could feel" | | 23 | "unraveling" |
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| 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 | 63 | | matches | (empty) | |
| 74.83% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1213 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 745 | | uniqueNames | 5 | | maxNameDensity | 0.81 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 1 | | Evan | 1 | | Moreau | 1 | | Rory | 5 | | Lucien | 6 |
| | persons | | 0 | "Eva" | | 1 | "Evan" | | 2 | "Moreau" | | 3 | "Rory" | | 4 | "Lucien" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 51 | | glossingSentenceCount | 1 | | matches | | 0 | "as if sizing up a wild card" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1213 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 52 | | mean | 23.33 | | std | 13.14 | | cv | 0.563 | | sampleLengths | | 0 | 60 | | 1 | 34 | | 2 | 3 | | 3 | 41 | | 4 | 44 | | 5 | 2 | | 6 | 46 | | 7 | 13 | | 8 | 22 | | 9 | 18 | | 10 | 24 | | 11 | 15 | | 12 | 27 | | 13 | 35 | | 14 | 42 | | 15 | 31 | | 16 | 23 | | 17 | 22 | | 18 | 13 | | 19 | 18 | | 20 | 38 | | 21 | 36 | | 22 | 14 | | 23 | 39 | | 24 | 28 | | 25 | 32 | | 26 | 15 | | 27 | 14 | | 28 | 22 | | 29 | 17 | | 30 | 13 | | 31 | 17 | | 32 | 7 | | 33 | 36 | | 34 | 9 | | 35 | 15 | | 36 | 23 | | 37 | 23 | | 38 | 27 | | 39 | 21 | | 40 | 21 | | 41 | 34 | | 42 | 2 | | 43 | 23 | | 44 | 32 | | 45 | 6 | | 46 | 38 | | 47 | 10 | | 48 | 26 | | 49 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 147 | | matches | (empty) | |
| 53.57% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 96 | | ratio | 0.031 | | matches | | 0 | "His slicked-back platinum hair glinted in the wan light, and those mismatched eyes—one amber, one black—glimmered with a mix of surprise and something else." | | 1 | "“They have people watching. This isn’t just about the artifacts; it ties to some dangerous players in the supernatural world. I’ve been waiting to gauge the scene, but I need you to help me navigate it.”" | | 2 | "The battle lines had shifted, and for better or worse, Lucien was back—and she could feel everything unraveling around the edges." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 750 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.02666666666666667 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.008 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 12.64 | | std | 6.85 | | cv | 0.542 | | sampleLengths | | 0 | 25 | | 1 | 15 | | 2 | 20 | | 3 | 17 | | 4 | 17 | | 5 | 3 | | 6 | 5 | | 7 | 4 | | 8 | 14 | | 9 | 18 | | 10 | 2 | | 11 | 12 | | 12 | 5 | | 13 | 8 | | 14 | 17 | | 15 | 2 | | 16 | 22 | | 17 | 24 | | 18 | 13 | | 19 | 5 | | 20 | 17 | | 21 | 18 | | 22 | 8 | | 23 | 16 | | 24 | 15 | | 25 | 15 | | 26 | 12 | | 27 | 31 | | 28 | 4 | | 29 | 15 | | 30 | 18 | | 31 | 9 | | 32 | 11 | | 33 | 20 | | 34 | 23 | | 35 | 10 | | 36 | 12 | | 37 | 5 | | 38 | 8 | | 39 | 18 | | 40 | 21 | | 41 | 17 | | 42 | 10 | | 43 | 26 | | 44 | 14 | | 45 | 15 | | 46 | 24 | | 47 | 14 | | 48 | 14 | | 49 | 20 |
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| 73.26% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4583333333333333 | | totalSentences | 96 | | uniqueOpeners | 44 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 62 | | matches | (empty) | | ratio | 0 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 62 | | matches | | 0 | "She leaned over the counter," | | 1 | "She wiped her hands on" | | 2 | "Her pulse quickened, a whirlwind" | | 3 | "Her breath paused, heavy in" | | 4 | "His slicked-back platinum hair glinted" | | 5 | "he murmured, a subtle smile" | | 6 | "She blinked, caught off guard." | | 7 | "He leaned slightly against the" | | 8 | "She crossed her arms, belligerence" | | 9 | "He pushed through the door," | | 10 | "She inhaled sharply but stepped" | | 11 | "She motioned to the mess" | | 12 | "He chuckled, a low rumble" | | 13 | "She turned her back on" | | 14 | "She faked a casualness, though" | | 15 | "She turned down her voice," | | 16 | "He moved closer, his presence" | | 17 | "His gaze flickered momentarily, revealing" | | 18 | "She snorted, crossing her arms" | | 19 | "He leaned against the counter," |
| | ratio | 0.5 | |
| 16.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 62 | | matches | | 0 | "Aurora stood in the kitchen," | | 1 | "Ptolemy lounged on the windowsill," | | 2 | "The pages of research notes" | | 3 | "She leaned over the counter," | | 4 | "The soft thud echoed in" | | 5 | "Thud, thud, thud." | | 6 | "A chill climbed her spine." | | 7 | "She wiped her hands on" | | 8 | "Her pulse quickened, a whirlwind" | | 9 | "Her breath paused, heavy in" | | 10 | "Lucien Moreau stood on her" | | 11 | "His slicked-back platinum hair glinted" | | 12 | "he murmured, a subtle smile" | | 13 | "She blinked, caught off guard." | | 14 | "He leaned slightly against the" | | 15 | "She crossed her arms, belligerence" | | 16 | "He pushed through the door," | | 17 | "She inhaled sharply but stepped" | | 18 | "The space seemed to shrink" | | 19 | "Lucien's eyes darted around the" |
| | ratio | 0.887 | |
| 80.65% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 62 | | matches | | 0 | "Though she tried to keep" |
| | ratio | 0.016 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 3 | | matches | | 0 | "Lucien Moreau stood on her doorstep, an image of polished composure dressed in a tailored charcoal suit that hugged his frame perfectly." | | 1 | "The sound both annoyed and intrigued her, stirring memories of laughter that echoed in moonlit corners of their fractured history." | | 2 | "Rory shook her head, rolling her eyes to mask the uneasiness creeping in." |
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| 72.37% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 2 | | matches | | 0 | "he murmured, a subtle smile tugging at the corner of his mouth" | | 1 | "Though she tried, a hint of something fluttered in her chest" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "He chuckled (chuckle)" |
| | dialogueSentences | 52 | | tagDensity | 0.058 | | leniency | 0.115 | | rawRatio | 0.667 | | effectiveRatio | 0.077 | |