| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 2 | | adverbTags | | 0 | "He swallowed hard [hard]" | | 1 | "she said finally [finally]" |
| | dialogueSentences | 49 | | tagDensity | 0.388 | | leniency | 0.776 | | rawRatio | 0.105 | | effectiveRatio | 0.082 | |
| 85.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2342 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "really" | | 1 | "slightly" | | 2 | "slowly" | | 3 | "suddenly" | | 4 | "completely" |
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| 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) | |
| 74.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2342 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "pulse" | | 1 | "tension" | | 2 | "familiar" | | 3 | "stomach" | | 4 | "warmth" | | 5 | "chilled" | | 6 | "traced" | | 7 | "silence" | | 8 | "weight" | | 9 | "could feel" |
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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 | 125 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 125 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 154 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 55 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 5 | | totalWords | 2342 | | ratio | 0.002 | | matches | | 0 | "You don't owe him anything." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 53 | | wordCount | 1752 | | uniqueNames | 17 | | maxNameDensity | 0.74 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Thursday | 1 | | Silas | 13 | | Blackwood | 1 | | Carter | 1 | | Golden | 1 | | Empress | 1 | | Evan | 12 | | Cardiff | 3 | | London | 1 | | Eva | 1 | | Didn | 1 | | Prague | 1 | | Welsh | 1 | | Aurora | 8 | | Close | 3 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Blackwood" | | 4 | "Carter" | | 5 | "Evan" | | 6 | "Eva" | | 7 | "Aurora" |
| | places | | 0 | "Cardiff" | | 1 | "London" | | 2 | "Prague" |
| | globalScore | 1 | | windowScore | 1 | |
| 58.26% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 109 | | glossingSentenceCount | 4 | | matches | | 0 | "looked like a neat whiskey" | | 1 | "quite reach his eyes" | | 2 | "tasted like regret and good decisions" | | 3 | "seemed earned rather than assumed" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.427 | | wordCount | 2342 | | matches | | 0 | "not for what they'd lost, but for what they'd never had the chance to be" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 154 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 45.92 | | std | 24.56 | | cv | 0.535 | | sampleLengths | | 0 | 114 | | 1 | 114 | | 2 | 9 | | 3 | 105 | | 4 | 33 | | 5 | 25 | | 6 | 74 | | 7 | 32 | | 8 | 71 | | 9 | 27 | | 10 | 24 | | 11 | 25 | | 12 | 31 | | 13 | 14 | | 14 | 15 | | 15 | 57 | | 16 | 82 | | 17 | 30 | | 18 | 41 | | 19 | 41 | | 20 | 41 | | 21 | 25 | | 22 | 64 | | 23 | 32 | | 24 | 68 | | 25 | 33 | | 26 | 51 | | 27 | 50 | | 28 | 29 | | 29 | 58 | | 30 | 63 | | 31 | 63 | | 32 | 61 | | 33 | 22 | | 34 | 56 | | 35 | 32 | | 36 | 47 | | 37 | 57 | | 38 | 38 | | 39 | 24 | | 40 | 19 | | 41 | 69 | | 42 | 32 | | 43 | 2 | | 44 | 50 | | 45 | 21 | | 46 | 56 | | 47 | 55 | | 48 | 42 | | 49 | 69 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 125 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 276 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 154 | | ratio | 0 | | matches | (empty) | |
| 92.75% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1762 | | adjectiveStacks | 1 | | stackExamples | | 0 | "sharp beneath grey-streaked brows." |
| | adverbCount | 73 | | adverbRatio | 0.041430192962542564 | | lyAdverbCount | 22 | | lyAdverbRatio | 0.012485811577752554 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 154 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 154 | | mean | 15.21 | | std | 9.36 | | cv | 0.616 | | sampleLengths | | 0 | 26 | | 1 | 22 | | 2 | 11 | | 3 | 55 | | 4 | 15 | | 5 | 17 | | 6 | 11 | | 7 | 25 | | 8 | 28 | | 9 | 18 | | 10 | 9 | | 11 | 18 | | 12 | 16 | | 13 | 1 | | 14 | 2 | | 15 | 16 | | 16 | 12 | | 17 | 28 | | 18 | 12 | | 19 | 7 | | 20 | 5 | | 21 | 21 | | 22 | 12 | | 23 | 9 | | 24 | 4 | | 25 | 12 | | 26 | 18 | | 27 | 15 | | 28 | 14 | | 29 | 15 | | 30 | 12 | | 31 | 20 | | 32 | 16 | | 33 | 18 | | 34 | 15 | | 35 | 22 | | 36 | 24 | | 37 | 3 | | 38 | 21 | | 39 | 3 | | 40 | 11 | | 41 | 14 | | 42 | 6 | | 43 | 11 | | 44 | 14 | | 45 | 8 | | 46 | 6 | | 47 | 9 | | 48 | 6 | | 49 | 5 |
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| 54.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.36363636363636365 | | totalSentences | 154 | | uniqueOpeners | 56 | |
| 55.10% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 121 | | matches | | 0 | "Even the woman by the" | | 1 | "Just the truth of where" |
| | ratio | 0.017 | |
| 77.85% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 121 | | matches | | 0 | "Her shoulder-length black hair stuck" | | 1 | "She carried the last order" | | 2 | "She nearly dropped the bag" | | 3 | "He sat at the far" | | 4 | "His once-wild blond hair was" | | 5 | "Their eyes met across the" | | 6 | "His widened in genuine shock." | | 7 | "Hers narrowed, the cool-headed mask" | | 8 | "His voice cracked on the" | | 9 | "He stood, the stool scraping" | | 10 | "His silver signet ring tapped" | | 11 | "He knew enough about her" | | 12 | "He crossed the space between" | | 13 | "He offered a smile that" | | 14 | "She kept her voice even," | | 15 | "He laughed, a short bark" | | 16 | "She managed a nod, grateful" | | 17 | "She didn't elaborate" | | 18 | "His movements were economical, the" | | 19 | "he said, nodding toward the" |
| | ratio | 0.355 | |
| 13.72% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 108 | | totalSentences | 121 | | matches | | 0 | "The Raven's Nest smelled of" | | 1 | "Maps of forgotten cities curled" | | 2 | "Aurora Carter pushed open the" | | 3 | "Rain clung to her delivery" | | 4 | "Her shoulder-length black hair stuck" | | 5 | "The small crescent scar on" | | 6 | "She carried the last order" | | 7 | "Delivery gigs paid the rent" | | 8 | "She nearly dropped the bag" | | 9 | "He sat at the far" | | 10 | "The years had carved deep" | | 11 | "His once-wild blond hair was" | | 12 | "The soft university boy who" | | 13 | "A expensive watch caught the" | | 14 | "Their eyes met across the" | | 15 | "His widened in genuine shock." | | 16 | "Hers narrowed, the cool-headed mask" | | 17 | "His voice cracked on the" | | 18 | "He stood, the stool scraping" | | 19 | "Silas glanced up from his" |
| | ratio | 0.893 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 121 | | matches | (empty) | | ratio | 0 | |
| 68.65% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 77 | | technicalSentenceCount | 8 | | matches | | 0 | "Green neon from the sign outside bled through the frosted windows, casting sickly ripples across the black-and-white photographs that lined the walls." | | 1 | "At eight on a Thursday, the place held only a handful of patrons: two men arguing politics in the corner booth, a woman nursing a gin and tonic by the window, a…" | | 2 | "The soft university boy who quoted poetry badly had hardened into something angular, shoulders broader under a tailored jacket that cost more than three months …" | | 3 | "The years had been kind to his face in ways that made her stomach twist." | | 4 | "The boy who once couldn't grow a proper beard now sported designer stubble that suited the new sharp lines of his cheekbones." | | 5 | "His voice carried the quiet authority of a man who had once extracted information from the unwilling in Prague basements." | | 6 | "Behind her, Evan remained at the bar, staring into his drink while Silas watched them both with the quiet authority of a man who understood exactly how heavy ti…" | | 7 | "Inside The Raven's Nest, the photographs kept their silent vigil over old wounds and new beginnings, as two people who had once meant everything to each other c…" |
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| 72.37% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 2 | | matches | | 0 | "Aurora wrapped, the warmth seeping into her chilled skin" | | 1 | "Aurora meant, mostly" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 49 | | tagDensity | 0.082 | | leniency | 0.163 | | rawRatio | 0.25 | | effectiveRatio | 0.041 | |