| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "She hesitated then [then]" |
| | dialogueSentences | 63 | | tagDensity | 0.238 | | leniency | 0.476 | | rawRatio | 0.067 | | effectiveRatio | 0.032 | |
| 86.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1496 | | totalAiIsmAdverbs | 4 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
| | 3 | |
| | highlights | | 0 | "sharply" | | 1 | "very" | | 2 | "barely above a whisper" | | 3 | "slightly" |
| |
| 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) | |
| 56.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1496 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "weight" | | 1 | "warmth" | | 2 | "pulse" | | 3 | "gleaming" | | 4 | "intensity" | | 5 | "effortless" | | 6 | "flicked" | | 7 | "stomach" | | 8 | "trembled" | | 9 | "raced" | | 10 | "pawn" | | 11 | "whisper" |
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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 | "stomach dropped/sank" | | count | 1 |
| | 2 | | label | "sent a shiver through" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "stomach dropped" | | 2 | "sent a jolt through" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 107 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 107 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 153 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 13 | | markdownWords | 14 | | totalWords | 1483 | | ratio | 0.009 | | matches | | 0 | "back" | | 1 | "did" | | 2 | "Rory." | | 3 | "do" | | 4 | "live" | | 5 | "very" | | 6 | "just" | | 7 | "hungry" | | 8 | "chosen one" | | 9 | "do" | | 10 | "use" | | 11 | "help" | | 12 | "did" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 82 | | wordCount | 987 | | uniqueNames | 12 | | maxNameDensity | 3.14 | | worstName | "Rory" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 31 | | Eva | 23 | | Welsh | 2 | | Moreau | 1 | | Lucien | 15 | | Black | 1 | | Dawn | 1 | | Evan | 2 | | Morrigan | 1 | | Celtic | 1 | | Soho | 1 | | Ptolemy | 3 |
| | persons | | 0 | "Rory" | | 1 | "Eva" | | 2 | "Moreau" | | 3 | "Lucien" | | 4 | "Black" | | 5 | "Evan" | | 6 | "Ptolemy" |
| | places | | | globalScore | 0 | | windowScore | 0 | |
| 65.25% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like it belonged in a steampunk no" | | 1 | "something like smoke—following him" |
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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 | 1483 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 153 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 70 | | mean | 21.19 | | std | 15.7 | | cv | 0.741 | | sampleLengths | | 0 | 65 | | 1 | 39 | | 2 | 31 | | 3 | 13 | | 4 | 42 | | 5 | 38 | | 6 | 40 | | 7 | 34 | | 8 | 25 | | 9 | 13 | | 10 | 12 | | 11 | 55 | | 12 | 14 | | 13 | 9 | | 14 | 31 | | 15 | 3 | | 16 | 3 | | 17 | 11 | | 18 | 4 | | 19 | 8 | | 20 | 20 | | 21 | 25 | | 22 | 3 | | 23 | 18 | | 24 | 55 | | 25 | 12 | | 26 | 19 | | 27 | 16 | | 28 | 19 | | 29 | 6 | | 30 | 29 | | 31 | 17 | | 32 | 38 | | 33 | 8 | | 34 | 38 | | 35 | 12 | | 36 | 32 | | 37 | 8 | | 38 | 8 | | 39 | 11 | | 40 | 6 | | 41 | 22 | | 42 | 43 | | 43 | 26 | | 44 | 21 | | 45 | 9 | | 46 | 11 | | 47 | 31 | | 48 | 2 | | 49 | 50 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 107 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 172 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 153 | | ratio | 0.065 | | matches | | 0 | "Eva grabbed a letter opener from the desk—a wicked-looking thing with a silver blade—and crept toward the door." | | 1 | "Lucien Moreau stood in the hallway, his platinum blond hair gleaming under the flickering bulb, his heterochromatic eyes—amber and black—fixed on Rory with unsettling intensity." | | 2 | "Lucien stepped inside without waiting for an invitation, the scent of sandalwood and something darker—something like smoke—following him." | | 3 | "The Black Dawn was a name whispered in the supernatural underworld—a cabal of demons and rogue sorcerers who dealt in forbidden magic, human trafficking, and worse." | | 4 | "Lucien’s gaze locked onto hers, and for a heartbeat, the world narrowed to just the two of them—the weight of his stare, the way his amber eye burned like a flame." | | 5 | "She thought of the nightmares that had plagued her since childhood—the ones where shadows whispered her name, where something *hungry* lurked just beyond the edge of her vision." | | 6 | "The Morrigan—the Celtic goddess of war and fate, a figure from the old stories her mother used to tell her." | | 7 | "She remembered the night she’d gotten it—the way the knife had slipped, the way the blood had pooled, dark and thick, before her mother had pressed a cloth to the wound and whispered something in Welsh." | | 8 | "The air between them crackled, thick with history—with the night they’d met in a dimly lit bar in Soho, the way his fingers had brushed hers when he’d handed her a drink, the way he’d looked at her like she was something rare." | | 9 | "Rory studied him—the way his knuckles whitened around the handle of his cane, the way his black eye seemed to swallow the light." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1004 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.0348605577689243 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.0069721115537848604 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 153 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 153 | | mean | 9.69 | | std | 8.39 | | cv | 0.865 | | sampleLengths | | 0 | 11 | | 1 | 17 | | 2 | 24 | | 3 | 13 | | 4 | 7 | | 5 | 30 | | 6 | 2 | | 7 | 13 | | 8 | 16 | | 9 | 2 | | 10 | 3 | | 11 | 7 | | 12 | 3 | | 13 | 15 | | 14 | 15 | | 15 | 12 | | 16 | 23 | | 17 | 15 | | 18 | 15 | | 19 | 10 | | 20 | 13 | | 21 | 2 | | 22 | 10 | | 23 | 24 | | 24 | 15 | | 25 | 10 | | 26 | 2 | | 27 | 11 | | 28 | 5 | | 29 | 7 | | 30 | 7 | | 31 | 12 | | 32 | 4 | | 33 | 32 | | 34 | 3 | | 35 | 6 | | 36 | 5 | | 37 | 9 | | 38 | 5 | | 39 | 26 | | 40 | 3 | | 41 | 3 | | 42 | 3 | | 43 | 8 | | 44 | 4 | | 45 | 8 | | 46 | 18 | | 47 | 2 | | 48 | 14 | | 49 | 11 |
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| 45.42% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.2549019607843137 | | totalSentences | 153 | | uniqueOpeners | 39 | |
| 34.01% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 98 | | matches | | 0 | "Instead, she unlocked the deadbolts" |
| | ratio | 0.01 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 22 | | totalSentences | 98 | | matches | | 0 | "She checked the clock on" | | 1 | "She hesitated, then exhaled sharply" | | 2 | "She stepped back, pulling the" | | 3 | "She grabbed Rory’s wrist, pulling" | | 4 | "She stood abruptly, knocking a" | | 5 | "She reached out, squeezing Rory’s" | | 6 | "He leaned on his ivory-handled" | | 7 | "he said, his voice smooth," | | 8 | "His eyes returned to Rory" | | 9 | "She clenched them into fists." | | 10 | "His voice was softer now," | | 11 | "She thought of the nightmares" | | 12 | "She’d always assumed they were" | | 13 | "It was impossible." | | 14 | "She remembered the night she’d" | | 15 | "She thought of Evan’s hands" | | 16 | "she asked, her voice barely" | | 17 | "His voice was rough" | | 18 | "She thought of the last" | | 19 | "She should’ve hated him." |
| | ratio | 0.224 | |
| 5.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 98 | | matches | | 0 | "The door swung open before" | | 1 | "Eva stood there, her dark" | | 2 | "Ptolemy, the tabby cat, wound" | | 3 | "Eva blinked, her brown eyes" | | 4 | "She checked the clock on" | | 5 | "Rory shifted her weight, the" | | 6 | "She hesitated, then exhaled sharply" | | 7 | "Eva’s expression darkened." | | 8 | "She stepped back, pulling the" | | 9 | "Rory slipped inside, the warmth" | | 10 | "The deadbolts slid home behind" | | 11 | "Rory rubbed her temples, the" | | 12 | "Eva swore under her breath," | | 13 | "She grabbed Rory’s wrist, pulling" | | 14 | "Ptolemy leapt onto the armrest," | | 15 | "Rory sank onto the cushions," | | 16 | "Eva pointed out, pacing" | | 17 | "Eva threw her hands up." | | 18 | "Rory’s voice cracked" | | 19 | "She stood abruptly, knocking a" |
| | ratio | 0.908 | |
| 51.02% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 98 | | matches | | 0 | "If Evan was tangled up" |
| | ratio | 0.01 | |
| 79.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 3 | | matches | | 0 | "Eva swore under her breath, a string of Welsh that would’ve made their mother blush." | | 1 | "The Black Dawn was a name whispered in the supernatural underworld—a cabal of demons and rogue sorcerers who dealt in forbidden magic, human trafficking, and wo…" | | 2 | "She thought of the nightmares that had plagued her since childhood—the ones where shadows whispered her name, where something *hungry* lurked just beyond the ed…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 4 | | matches | | 0 | "Eva blinked, her brown eyes widening" | | 1 | "he said, his voice smooth, accented" | | 2 | "Lucien said, his voice low" | | 3 | "she asked, her voice barely above a whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 1 | | fancyTags | | 0 | "Rory whispered (whisper)" |
| | dialogueSentences | 63 | | tagDensity | 0.095 | | leniency | 0.19 | | rawRatio | 0.167 | | effectiveRatio | 0.032 | |