| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 22 | | adverbTagCount | 4 | | adverbTags | | 0 | "She gestured vaguely [vaguely]" | | 1 | "he said suddenly [suddenly]" | | 2 | "he asked instead [instead]" | | 3 | "she said finally [finally]" |
| | dialogueSentences | 80 | | tagDensity | 0.275 | | leniency | 0.55 | | rawRatio | 0.182 | | effectiveRatio | 0.1 | |
| 92.05% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1886 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 70.84% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1886 | | totalAiIsms | 11 | | found | | 0 | | word | "carried the weight" | | count | 1 |
| | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | |
| | highlights | | 0 | "carried the weight" | | 1 | "eyebrow" | | 2 | "loomed" | | 3 | "echoed" | | 4 | "traced" | | 5 | "weight" | | 6 | "fractured" | | 7 | "flickered" |
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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 | 147 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 147 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 203 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 27 | | totalWords | 1874 | | ratio | 0.014 | | matches | | 0 | "click" | | 1 | "Call if you need me." | | 2 | "Aurora, love, when are you coming home?" | | 3 | "Why didn’t you call? Where have you been? What the hell happened with Evan?" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 32 | | unquotedAttributions | 1 | | matches | | 0 | "Silas straightened, his hand drifting toward the small of his back—old habits, she guessed." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1392 | | uniqueNames | 14 | | maxNameDensity | 0.86 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Cardiff | 4 | | Blackwood | 2 | | Prague | 1 | | University | 1 | | London | 3 | | Golden | 1 | | Empress | 1 | | Silas | 12 | | Evan | 3 | | Aurora | 4 | | Old | 1 | | Handed | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Blackwood" | | 3 | "Silas" | | 4 | "Evan" | | 5 | "Aurora" |
| | places | | 0 | "Cardiff" | | 1 | "Prague" | | 2 | "London" | | 3 | "Golden" |
| | globalScore | 1 | | windowScore | 1 | |
| 41.30% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 92 | | glossingSentenceCount | 4 | | matches | | 0 | "something like that" | | 1 | "looked like he’d rather be anywhere else—" | | 2 | "felt like a place where old ghosts came" | | 3 | "something like regret" |
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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 | 1874 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 203 | | matches | | 0 | "learned that the" | | 1 | "learning that some" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 91 | | mean | 20.59 | | std | 15.35 | | cv | 0.745 | | sampleLengths | | 0 | 53 | | 1 | 5 | | 2 | 55 | | 3 | 44 | | 4 | 15 | | 5 | 16 | | 6 | 51 | | 7 | 9 | | 8 | 16 | | 9 | 37 | | 10 | 8 | | 11 | 20 | | 12 | 11 | | 13 | 9 | | 14 | 8 | | 15 | 54 | | 16 | 11 | | 17 | 26 | | 18 | 14 | | 19 | 21 | | 20 | 30 | | 21 | 58 | | 22 | 6 | | 23 | 42 | | 24 | 5 | | 25 | 31 | | 26 | 2 | | 27 | 3 | | 28 | 5 | | 29 | 31 | | 30 | 4 | | 31 | 14 | | 32 | 71 | | 33 | 40 | | 34 | 3 | | 35 | 29 | | 36 | 18 | | 37 | 4 | | 38 | 16 | | 39 | 35 | | 40 | 9 | | 41 | 15 | | 42 | 23 | | 43 | 6 | | 44 | 14 | | 45 | 25 | | 46 | 38 | | 47 | 10 | | 48 | 10 | | 49 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 147 | | matches | (empty) | |
| 95.01% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 254 | | matches | | 0 | "wasn’t asking" | | 1 | "was running" | | 2 | "was trying" | | 3 | "was coming" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 11 | | totalSentences | 203 | | ratio | 0.054 | | matches | | 0 | "The signet ring on his right hand glinted as he lifted his own glass—a neat whisky, no ice." | | 1 | "She remembered the stories—whispers in the halls of Cardiff University about the MI6 operative who’d taken a bullet to the knee and walked away from the life." | | 2 | "“More than a few.” He studied her, his gaze lingering on the crescent-shaped scar on her left wrist—the one she’d gotten falling off her bike when she was ten." | | 3 | "He flagged down the bartender—a lanky kid with a nose ring who looked like he’d rather be anywhere else—and pointed at Aurora’s untouched drink." | | 4 | "She could see the questions in his eyes—the ones he wasn’t asking." | | 5 | "The same thing as always—the ghosts of the past, the weight of the things he’d done, the things he hadn’t been able to stop." | | 6 | "Silas straightened, his hand drifting toward the small of his back—old habits, she guessed." | | 7 | "The London night air hit her like a slap—cold, damp, alive." | | 8 | "Just studied her, the way he always had—like she was a puzzle he was trying to solve." | | 9 | "But the truth was, she’d spent years pretending she didn’t miss this—the thrill of the unknown, the sense that she was part of something bigger than herself." | | 10 | "For the first time, something flickered in his expression—something like regret." |
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| 97.66% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1406 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 60 | | adverbRatio | 0.04267425320056899 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.010668563300142247 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 203 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 203 | | mean | 9.23 | | std | 6.35 | | cv | 0.687 | | sampleLengths | | 0 | 11 | | 1 | 16 | | 2 | 20 | | 3 | 6 | | 4 | 5 | | 5 | 13 | | 6 | 14 | | 7 | 12 | | 8 | 11 | | 9 | 5 | | 10 | 19 | | 11 | 18 | | 12 | 2 | | 13 | 5 | | 14 | 9 | | 15 | 6 | | 16 | 12 | | 17 | 4 | | 18 | 1 | | 19 | 19 | | 20 | 27 | | 21 | 4 | | 22 | 5 | | 23 | 4 | | 24 | 5 | | 25 | 11 | | 26 | 8 | | 27 | 16 | | 28 | 9 | | 29 | 4 | | 30 | 8 | | 31 | 15 | | 32 | 5 | | 33 | 4 | | 34 | 7 | | 35 | 2 | | 36 | 7 | | 37 | 8 | | 38 | 9 | | 39 | 25 | | 40 | 17 | | 41 | 3 | | 42 | 6 | | 43 | 5 | | 44 | 14 | | 45 | 12 | | 46 | 5 | | 47 | 9 | | 48 | 8 | | 49 | 13 |
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| 47.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.32019704433497537 | | totalSentences | 203 | | uniqueOpeners | 65 | |
| 52.08% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 128 | | matches | | 0 | "Just studied her, the way" | | 1 | "Just stood there, watching her" |
| | ratio | 0.016 | |
| 35.63% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 59 | | totalSentences | 128 | | matches | | 0 | "She hadn’t even ordered it" | | 1 | "She turned, wiping her thumb" | | 2 | "His hazel eyes caught the" | | 3 | "Her voice came out steadier" | | 4 | "He took a sip, watching" | | 5 | "She remembered the stories—whispers in" | | 6 | "He chuckled, low and dry." | | 7 | "She should’ve known he’d say" | | 8 | "It was what made him" | | 9 | "She gestured vaguely toward the" | | 10 | "His eyebrow quirked" | | 11 | "She hadn’t heard it in" | | 12 | "He drained his whisky, set" | | 13 | "She exhaled through her nose." | | 14 | "He nodded, as if that" | | 15 | "She wanted to argue, to" | | 16 | "She’d spent enough nights here," | | 17 | "he said suddenly" | | 18 | "She touched her hair self-consciously." | | 19 | "She’d dyed it black after" |
| | ratio | 0.461 | |
| 81.09% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 97 | | totalSentences | 128 | | matches | | 0 | "The glass slipped from her" | | 1 | "Aurora barely caught it, the" | | 2 | "The ice cubes clinked against" | | 3 | "She hadn’t even ordered it" | | 4 | "The voice came from behind" | | 5 | "A voice that carried the" | | 6 | "She turned, wiping her thumb" | | 7 | "Silas Blackwood, leaning on the" | | 8 | "His hazel eyes caught the" | | 9 | "The signet ring on his" | | 10 | "Her voice came out steadier" | | 11 | "He took a sip, watching" | | 12 | "The word hung between them," | | 13 | "She remembered the stories—whispers in" | | 14 | "He chuckled, low and dry." | | 15 | "She should’ve known he’d say" | | 16 | "Silas had always had a" | | 17 | "It was what made him" | | 18 | "She gestured vaguely toward the" | | 19 | "His eyebrow quirked" |
| | ratio | 0.758 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 128 | | matches | | 0 | "Before she’d learned that the" | | 1 | "Because he was right." | | 2 | "Because the truth was, she" |
| | ratio | 0.023 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 2 | | matches | | 0 | "She’d spent enough nights here, perched on a stool in the corner, nursing a pint and pretending she didn’t notice the way Silas watched the room like a man who …" | | 1 | "He’d been her father’s colleague, a man who’d shown up at family dinners with stories that made her mother cluck her tongue and her father laugh into his beer." |
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| 34.09% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 22 | | uselessAdditionCount | 4 | | matches | | 0 | "She gestured vaguely, as if the city beyond it explained anything" | | 1 | "He nodded, as if that settled it" | | 2 | "he asked, his voice low" | | 3 | "He adjusted, the silver catching the light" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 80 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0.1 | | effectiveRatio | 0.025 | |