| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 39 | | tagDensity | 0.256 | | leniency | 0.513 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1466 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 28.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1466 | | totalAiIsms | 21 | | found | | | highlights | | 0 | "pulse" | | 1 | "weight" | | 2 | "throbbed" | | 3 | "wavered" | | 4 | "magnetic" | | 5 | "flickered" | | 6 | "raced" | | 7 | "marveled" | | 8 | "velvet" | | 9 | "echo" | | 10 | "gloom" | | 11 | "eyebrow" | | 12 | "charged" | | 13 | "traced" | | 14 | "shattered" | | 15 | "reminder" | | 16 | "flicker" |
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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 | 103 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 103 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 130 | | 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 | 1445 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 1163 | | uniqueNames | 18 | | maxNameDensity | 0.52 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Brick" | | discoveredNames | | Carter | 2 | | Eva | 1 | | Evan | 2 | | Moreau | 1 | | Brick | 2 | | Lane | 2 | | Ptolemy | 4 | | Laila | 1 | | Silas | 1 | | Avaros | 1 | | Golden | 1 | | Empress | 1 | | Rory | 6 | | London | 1 | | Lucien | 2 | | Egyptian | 1 | | Latin | 1 | | Aurora | 2 |
| | persons | | 0 | "Carter" | | 1 | "Eva" | | 2 | "Evan" | | 3 | "Moreau" | | 4 | "Ptolemy" | | 5 | "Laila" | | 6 | "Silas" | | 7 | "Rory" | | 8 | "Lucien" | | 9 | "Aurora" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Avaros" | | 3 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 28.05% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 82 | | glossingSentenceCount | 4 | | matches | | 0 | "as if bracing herself" | | 1 | "felt like a blade edging against her ri" | | 2 | "something like ash—wafted over her" | | 3 | "something like hope pooling in her chest" |
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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 | 1445 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 130 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 33.6 | | std | 19.13 | | cv | 0.569 | | sampleLengths | | 0 | 57 | | 1 | 53 | | 2 | 68 | | 3 | 49 | | 4 | 26 | | 5 | 51 | | 6 | 7 | | 7 | 41 | | 8 | 27 | | 9 | 9 | | 10 | 39 | | 11 | 32 | | 12 | 95 | | 13 | 12 | | 14 | 43 | | 15 | 39 | | 16 | 15 | | 17 | 55 | | 18 | 27 | | 19 | 24 | | 20 | 21 | | 21 | 11 | | 22 | 26 | | 23 | 36 | | 24 | 31 | | 25 | 34 | | 26 | 12 | | 27 | 36 | | 28 | 37 | | 29 | 12 | | 30 | 32 | | 31 | 11 | | 32 | 6 | | 33 | 48 | | 34 | 45 | | 35 | 8 | | 36 | 59 | | 37 | 51 | | 38 | 28 | | 39 | 40 | | 40 | 10 | | 41 | 23 | | 42 | 59 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 103 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 211 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 20 | | semicolonCount | 2 | | flaggedSentences | 17 | | totalSentences | 130 | | ratio | 0.131 | | matches | | 0 | "Aurora Carter’s hand hovered over the third deadbolt when the knock came—precise, deliberate, impossible to ignore." | | 1 | "She’d sworn she’d heard enough knocks in her life—Evan’s fists against doors, late-night callers bearing bad news—but this one carried a different weight." | | 2 | "One amber eye, one midnight black—each fixed on her like a pair of burning coals." | | 3 | "A breeze off Brick Lane carried the scent of lamb curry and fried chillies; beneath it, something darker, musk and rain-slicked stone." | | 4 | "She looked past him, half-expecting someone else—anyone—but the street lay empty except for a distant figure under a gutter-light." | | 5 | "His voice held no hint of apology—only that cool, unyielding smoothness she once found magnetic." | | 6 | "Her pulse made her ears ache at that—Laila, her childhood alias, bandied about only by people who knew her before Evan." | | 7 | "She’d wanted him, too—so much that she’d ignored the warnings, the rumors of his half-demon blood." | | 8 | "When the truth emerged—how he hid his dealings in Avaros, how he’d manipulated her to feed his network—she felt used." | | 9 | "The scent of his tailored coat—warm leather and something like ash—wafted over her." | | 10 | "She’d once marveled at his network—his ties to every quarter of London’s supernatural fringe—until she realized he’d wrapped her into it, borrowed her razor-sharp mind, then discarded her when she grew inconvenient." | | 11 | "He waved his cane—a silent apology, or a flourish of old habits." | | 12 | "“I need you.” His tone wasn’t pleading; it was a statement of fact." | | 13 | "He glanced at the scattered research notes stacked on a narrow desk behind her—Egyptian sigils, demon-binding formulas, scribbled Latin." | | 14 | "Electricity snapped between them—old magic, alive again." | | 15 | "The candlelight flickered over its embossed cover—a symbol she recognized from her days decoding her father’s legal briefs, now twisted into arcane sigils." | | 16 | "He stared at that half-moon indentation—her childhood wound, her constant reminder of vulnerability." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1199 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "slim leather-bound volume" |
| | adverbCount | 33 | | adverbRatio | 0.027522935779816515 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003336113427856547 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 130 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 130 | | mean | 11.12 | | std | 7.02 | | cv | 0.631 | | sampleLengths | | 0 | 16 | | 1 | 3 | | 2 | 17 | | 3 | 21 | | 4 | 6 | | 5 | 23 | | 6 | 14 | | 7 | 10 | | 8 | 12 | | 9 | 17 | | 10 | 2 | | 11 | 15 | | 12 | 22 | | 13 | 7 | | 14 | 12 | | 15 | 11 | | 16 | 19 | | 17 | 4 | | 18 | 22 | | 19 | 10 | | 20 | 9 | | 21 | 17 | | 22 | 15 | | 23 | 2 | | 24 | 5 | | 25 | 26 | | 26 | 15 | | 27 | 12 | | 28 | 6 | | 29 | 3 | | 30 | 6 | | 31 | 4 | | 32 | 5 | | 33 | 21 | | 34 | 6 | | 35 | 8 | | 36 | 4 | | 37 | 19 | | 38 | 13 | | 39 | 34 | | 40 | 16 | | 41 | 15 | | 42 | 20 | | 43 | 2 | | 44 | 8 | | 45 | 9 | | 46 | 3 | | 47 | 9 | | 48 | 13 | | 49 | 2 |
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| 46.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.2846153846153846 | | totalSentences | 130 | | uniqueOpeners | 37 | |
| 69.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 96 | | matches | | 0 | "Then came the lies he" | | 1 | "Then he closed it, bringing" |
| | ratio | 0.021 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 61 | | totalSentences | 96 | | matches | | 0 | "Her breath caught." | | 1 | "She’d sworn she’d heard enough" | | 2 | "She yanked back the bolt" | | 3 | "He stood there, framed in" | | 4 | "She pressed her free hand" | | 5 | "She looked past him, half-expecting" | | 6 | "Her voice wavered" | | 7 | "She’d practiced his name a" | | 8 | "He tipped his head, the" | | 9 | "he said, lips curving into" | | 10 | "His voice held no hint" | | 11 | "He lifted his cane in" | | 12 | "His amber eye flickered." | | 13 | "Her pulse made her ears" | | 14 | "She hadn’t heard it in" | | 15 | "She twisted her door key" | | 16 | "He tipped his head back," | | 17 | "Her breath caught on the" | | 18 | "She’d wanted him, too—so much" | | 19 | "she said, her voice low" |
| | ratio | 0.635 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 96 | | matches | | 0 | "Aurora Carter’s hand hovered over" | | 1 | "Her breath caught." | | 2 | "The books and scrolls piled" | | 3 | "Ptolemy, the tabby queen of" | | 4 | "Rory’s heart thudded against her" | | 5 | "She’d sworn she’d heard enough" | | 6 | "She yanked back the bolt" | | 7 | "The door swung open before" | | 8 | "He stood there, framed in" | | 9 | "Platinum blond hair slicked back," | | 10 | "A breeze off Brick Lane" | | 11 | "Rory sucked in a breath," | | 12 | "She pressed her free hand" | | 13 | "The small crescent-shaped scar on" | | 14 | "She looked past him, half-expecting" | | 15 | "Her voice wavered" | | 16 | "She’d practiced his name a" | | 17 | "He tipped his head, the" | | 18 | "he said, lips curving into" | | 19 | "The sound of her full" |
| | ratio | 0.938 | |
| 52.08% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 96 | | matches | | 0 | "Now that hurt roared back," |
| | ratio | 0.01 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 51 | | technicalSentenceCount | 3 | | matches | | 0 | "Her pulse made her ears ache at that—Laila, her childhood alias, bandied about only by people who knew her before Evan." | | 1 | "He tipped his head back, studying her as if she were an odd manuscript he’d been commissioned to decipher." | | 2 | "She felt the weight of his presence, the calm precision he exuded even in a situation that rattled her." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 5 | | matches | | 0 | "he said, lips curving into the faintest smile" | | 1 | "He lifted, as though he were at some grand salon rather than a cramped Brick Lane flat" | | 2 | "she said, her voice low" | | 3 | "he said, voice clipped" | | 4 | "he said, voice low" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | 0 | "The words spilled out (spill out)" |
| | dialogueSentences | 39 | | tagDensity | 0.205 | | leniency | 0.41 | | rawRatio | 0.125 | | effectiveRatio | 0.051 | |