| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "he countered softly [softly]" |
| | dialogueSentences | 37 | | tagDensity | 0.514 | | leniency | 1 | | rawRatio | 0.053 | | effectiveRatio | 0.053 | |
| 89.69% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1455 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "softly" | | 1 | "very" | | 2 | "slowly" |
| |
| 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) | |
| 38.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1455 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "gloom" | | 1 | "traced" | | 2 | "lilt" | | 3 | "tracing" | | 4 | "weight" | | 5 | "chaotic" | | 6 | "navigated" | | 7 | "scanning" | | 8 | "silence" | | 9 | "charged" | | 10 | "flicker" | | 11 | "navigating" | | 12 | "shimmered" | | 13 | "stomach" | | 14 | "tension" | | 15 | "electric" | | 16 | "amidst" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
| | 2 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "hung in the air" | | 2 | "a flicker of anger" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 71 | | matches | | |
| 42.25% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 3 | | narrationSentences | 71 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1453 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 988 | | uniqueNames | 16 | | maxNameDensity | 0.71 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "London" | | discoveredNames | | Carter | 1 | | Golden | 1 | | Empress | 1 | | London | 3 | | Eva | 3 | | Moreau | 1 | | Avaros | 1 | | Marseille | 1 | | Ptolemy | 2 | | Aurora | 7 | | Celtic | 1 | | Lucien | 7 | | French | 1 | | Paris | 1 | | Brick | 1 | | Lane | 1 |
| | persons | | 0 | "Carter" | | 1 | "Eva" | | 2 | "Moreau" | | 3 | "Ptolemy" | | 4 | "Aurora" | | 5 | "Lucien" |
| | places | | 0 | "Golden" | | 1 | "London" | | 2 | "Avaros" | | 3 | "Marseille" | | 4 | "Paris" | | 5 | "Brick" | | 6 | "Lane" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | 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 | 1453 | | matches | (empty) | |
| 91.76% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 89 | | matches | | 0 | "kissed that scar" | | 1 | "hated that he" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 50.1 | | std | 29.49 | | cv | 0.589 | | sampleLengths | | 0 | 99 | | 1 | 118 | | 2 | 25 | | 3 | 34 | | 4 | 76 | | 5 | 73 | | 6 | 35 | | 7 | 54 | | 8 | 75 | | 9 | 10 | | 10 | 55 | | 11 | 62 | | 12 | 65 | | 13 | 91 | | 14 | 57 | | 15 | 44 | | 16 | 22 | | 17 | 32 | | 18 | 37 | | 19 | 98 | | 20 | 74 | | 21 | 37 | | 22 | 38 | | 23 | 27 | | 24 | 2 | | 25 | 1 | | 26 | 32 | | 27 | 15 | | 28 | 65 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 71 | | matches | | |
| 83.04% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 171 | | matches | | 0 | "was, leaning" | | 1 | "was already drowning" | | 2 | "were shaking" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 3 | | flaggedSentences | 5 | | totalSentences | 89 | | ratio | 0.056 | | matches | | 0 | "But it was his eyes that pinned her to the spot—the heterochromatic gaze that had once traced the line of her jaw with such devastating intimacy." | | 1 | "One iris burned amber, warm and human; the other was a void of pure black, a window to the Avaros realm he tried so hard to keep buried." | | 2 | "The history between them wasn't just words; it was a physical weight, a gravity that pulled at her ribs." | | 3 | "Every surface was already drowning in Eva's research—stacks of books on Celtic mythology, scrolls detailing warding sigils, and notebooks filled with frantic scribbles covered the coffee table, the floor, and the single armchair." | | 4 | "It was no longer just fear or anger; it was the electric, terrifying possibility of a second chance." |
| |
| 98.03% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 994 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.04225352112676056 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.012072434607645875 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 16.33 | | std | 10.86 | | cv | 0.665 | | sampleLengths | | 0 | 18 | | 1 | 15 | | 2 | 33 | | 3 | 19 | | 4 | 14 | | 5 | 12 | | 6 | 13 | | 7 | 18 | | 8 | 21 | | 9 | 26 | | 10 | 28 | | 11 | 3 | | 12 | 22 | | 13 | 9 | | 14 | 7 | | 15 | 8 | | 16 | 4 | | 17 | 6 | | 18 | 29 | | 19 | 28 | | 20 | 19 | | 21 | 12 | | 22 | 19 | | 23 | 23 | | 24 | 19 | | 25 | 14 | | 26 | 5 | | 27 | 16 | | 28 | 21 | | 29 | 3 | | 30 | 16 | | 31 | 14 | | 32 | 17 | | 33 | 10 | | 34 | 33 | | 35 | 15 | | 36 | 10 | | 37 | 13 | | 38 | 8 | | 39 | 11 | | 40 | 23 | | 41 | 7 | | 42 | 12 | | 43 | 9 | | 44 | 34 | | 45 | 13 | | 46 | 52 | | 47 | 3 | | 48 | 15 | | 49 | 46 |
| |
| 50.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.34831460674157305 | | totalSentences | 89 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 8.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 70 | | matches | | 0 | "She had expected Eva, perhaps," | | 1 | "She did not expect the" | | 2 | "He looked exactly as he" | | 3 | "His platinum blond hair was" | | 4 | "His voice was lower than" | | 5 | "Her bright blue eyes narrowed," | | 6 | "She didn't move to invite" | | 7 | "She didn't step back." | | 8 | "she said, though her voice" | | 9 | "They had parted in a" | | 10 | "He tilted his head, a" | | 11 | "It didn't reach his eyes." | | 12 | "He stepped inside, and immediately" | | 13 | "he offered, his amber eye" | | 14 | "She turned to face him," | | 15 | "he countered softly" | | 16 | "He moved further into the" | | 17 | "she snapped, the old hurt" | | 18 | "His voice hardened on the" | | 19 | "She walked past him, needing" |
| | ratio | 0.529 | |
| 10.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 70 | | matches | | 0 | "The third deadbolt clicked with" | | 1 | "Aurora Carter froze, her hand" | | 2 | "The smell of ginger, star" | | 3 | "She had expected Eva, perhaps," | | 4 | "She did not expect the" | | 5 | "Lucien Moreau filled the doorway," | | 6 | "He looked exactly as he" | | 7 | "The tailored charcoal suit was" | | 8 | "His platinum blond hair was" | | 9 | "His voice was lower than" | | 10 | "Aurora's breath hitched, a traitorous" | | 11 | "Her bright blue eyes narrowed," | | 12 | "She didn't move to invite" | | 13 | "She didn't step back." | | 14 | "Lucien replied, his gaze dropping" | | 15 | "The memory of how he'd" | | 16 | "she said, though her voice" | | 17 | "The history between them wasn't" | | 18 | "They had parted in a" | | 19 | "He tilted his head, a" |
| | ratio | 0.9 | |
| 71.43% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 70 | | matches | | 0 | "Before she could formulate a" |
| | ratio | 0.014 | |
| 27.03% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 6 | | matches | | 0 | "But it was his eyes that pinned her to the spot—the heterochromatic gaze that had once traced the line of her jaw with such devastating intimacy." | | 1 | "His voice was lower than she remembered, a smooth baritone that carried the faint, melodic lilt of Marseille beneath the London accent." | | 2 | "The memory of how he'd once kissed that scar, tracing the childhood accident with a reverence that made her feel sacred, flashed between them like a live wire." | | 3 | "The history between them wasn't just words; it was a physical weight, a gravity that pulled at her ribs." | | 4 | "Yet here he was, leaning on his ivory-handled cane, looking as though he belonged in her cramped, chaotic world." | | 5 | "She saw the half-demon who had taught her how to pick a lock with a hairpin and how to speak enough French to order wine in a crisis." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 8 | | matches | | 0 | "she said, though her voice lacked the steel she intended" | | 1 | "He tilted, a ghost of a smile touching his lips" | | 2 | "he offered, his amber eye scanning the clutter" | | 3 | "she snapped, the old hurt flaring hot and bright" | | 4 | "His voice hardened, a flicker of anger breaking through his composure" | | 5 | "he said, his voice close behind her" | | 6 | "He reached out, his fingers hovering near her wrist, near the scar" | | 7 | "she said, her voice quiet," |
| |
| 14.86% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 5 | | fancyTags | | 0 | "Aurora corrected (correct)" | | 1 | "she snapped (snap)" | | 2 | "She laughed (laugh)" | | 3 | "Lucien agreed (agree)" | | 4 | "he repeated (repeat)" |
| | dialogueSentences | 37 | | tagDensity | 0.297 | | leniency | 0.595 | | rawRatio | 0.455 | | effectiveRatio | 0.27 | |