| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 3 | | adverbTags | | 0 | "He leaned back [back]" | | 1 | "He stood too [too]" | | 2 | "she said finally [finally]" |
| | dialogueSentences | 61 | | tagDensity | 0.377 | | leniency | 0.754 | | rawRatio | 0.13 | | effectiveRatio | 0.098 | |
| 73.76% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1334 | | totalAiIsmAdverbs | 7 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | |
| | highlights | | 0 | "really" | | 1 | "barely above a whisper" | | 2 | "suddenly" |
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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) | |
| 77.51% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1334 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "weight" | | 1 | "whisper" | | 2 | "silence" | | 3 | "trembled" | | 4 | "flickered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
|
| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 116 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 116 | | filterMatches | | | 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 | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 14 | | markdownWords | 22 | | totalWords | 1320 | | ratio | 0.017 | | matches | | 0 | "The Raven’s Nest" | | 1 | "ting" | | 2 | "I’ve made it" | | 3 | "I’m pretending" | | 4 | "standards" | | 5 | "dreamers’ eyes" | | 6 | "more" | | 7 | "2008" | | 8 | "run" | | 9 | "had" | | 10 | "War and Peace" | | 11 | "did" | | 12 | "you" | | 13 | "really" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.08% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 963 | | uniqueNames | 4 | | maxNameDensity | 1.04 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Blackwood | 1 | | Silas | 10 | | Darkness | 1 |
| | persons | | | places | | | globalScore | 0.981 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1320 | | 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 | 72 | | mean | 18.33 | | std | 15.41 | | cv | 0.841 | | sampleLengths | | 0 | 1 | | 1 | 88 | | 2 | 5 | | 3 | 38 | | 4 | 15 | | 5 | 10 | | 6 | 61 | | 7 | 26 | | 8 | 28 | | 9 | 51 | | 10 | 20 | | 11 | 33 | | 12 | 36 | | 13 | 56 | | 14 | 23 | | 15 | 10 | | 16 | 11 | | 17 | 9 | | 18 | 15 | | 19 | 24 | | 20 | 10 | | 21 | 16 | | 22 | 18 | | 23 | 17 | | 24 | 30 | | 25 | 2 | | 26 | 27 | | 27 | 12 | | 28 | 36 | | 29 | 9 | | 30 | 9 | | 31 | 11 | | 32 | 23 | | 33 | 8 | | 34 | 45 | | 35 | 7 | | 36 | 38 | | 37 | 9 | | 38 | 25 | | 39 | 22 | | 40 | 11 | | 41 | 19 | | 42 | 20 | | 43 | 17 | | 44 | 20 | | 45 | 16 | | 46 | 3 | | 47 | 16 | | 48 | 6 | | 49 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 116 | | matches | | |
| 91.30% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 184 | | matches | | 0 | "was bracing" | | 1 | "was looking" | | 2 | "was looking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 153 | | ratio | 0.059 | | matches | | 0 | "The door to *The Raven’s Nest* swung open with a *ting* of glass against metal, and the sudden gust of cold air carried the scent of rain-slicked pavement and something sharper—like old books and the faintest hint of gunpowder." | | 1 | "Then the woman—tall, sharp-angled in a coat that had seen better decades—turned." | | 2 | "The black dress she wore was expensive, the kind that whispered *I’ve made it*—or at least, *I’m pretending*." | | 3 | "The way she adjusted her grip on her clutch purse—fingers tightening just enough to make the leather creak—said everything." | | 4 | "A young woman—her—standing in front of a brick wall, her arm slung around a man with a smirk too wide for his face." | | 5 | "The way he looked at her—really looked at her—said everything." | | 6 | "The man who had once been her hero, her mentor, her friend—wasn’t the same." | | 7 | "He looked at her, really looked at her, and for a moment, she thought she saw something in his eyes—something like regret." | | 8 | "And then—" |
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| 91.07% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 976 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 49 | | adverbRatio | 0.050204918032786885 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.007172131147540984 | |
| 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 | 8.62 | | std | 6.84 | | cv | 0.793 | | sampleLengths | | 0 | 39 | | 1 | 26 | | 2 | 19 | | 3 | 4 | | 4 | 5 | | 5 | 13 | | 6 | 17 | | 7 | 8 | | 8 | 8 | | 9 | 7 | | 10 | 2 | | 11 | 8 | | 12 | 12 | | 13 | 19 | | 14 | 18 | | 15 | 6 | | 16 | 6 | | 17 | 3 | | 18 | 23 | | 19 | 18 | | 20 | 10 | | 21 | 5 | | 22 | 4 | | 23 | 4 | | 24 | 14 | | 25 | 9 | | 26 | 15 | | 27 | 14 | | 28 | 6 | | 29 | 14 | | 30 | 19 | | 31 | 10 | | 32 | 3 | | 33 | 4 | | 34 | 19 | | 35 | 11 | | 36 | 29 | | 37 | 15 | | 38 | 1 | | 39 | 18 | | 40 | 5 | | 41 | 9 | | 42 | 1 | | 43 | 3 | | 44 | 7 | | 45 | 1 | | 46 | 6 | | 47 | 3 | | 48 | 3 | | 49 | 10 |
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| 47.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.32679738562091504 | | totalSentences | 153 | | uniqueOpeners | 50 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 6 | | totalSentences | 100 | | matches | | 0 | "Then the door swung back." | | 1 | "Then the woman—tall, sharp-angled in" | | 2 | "Bright blue, unguarded, like a" | | 3 | "Just stared at the glass" | | 4 | "Really studied her." | | 5 | "Really looked at her." |
| | ratio | 0.06 | |
| 28.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 100 | | matches | | 0 | "He knew her type." | | 1 | "His fingers, gnarled with age" | | 2 | "he said, his voice rough" | | 3 | "Her hair was shorter now," | | 4 | "Her eyes, though, were the" | | 5 | "He exhaled through his nose," | | 6 | "His signet ring caught the" | | 7 | "She laughed, but it was" | | 8 | "He gestured toward the back," | | 9 | "She didn’t answer." | | 10 | "She didn’t have to." | | 11 | "He poured two fingers of" | | 12 | "She perched on the edge" | | 13 | "He slid one glass toward" | | 14 | "She took it." | | 15 | "He raised his own glass" | | 16 | "She didn’t drink." | | 17 | "He swirled his drink, the" | | 18 | "She laughed, but it was" | | 19 | "He leaned back, his beard" |
| | ratio | 0.48 | |
| 45.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 83 | | totalSentences | 100 | | matches | | 0 | "The door to *The Raven’s" | | 1 | "The bartender, a wiry man" | | 2 | "He knew her type." | | 3 | "Silas Blackwood’s hand shot out," | | 4 | "His fingers, gnarled with age" | | 5 | "The air in the bar" | | 6 | "he said, his voice rough" | | 7 | "The kind that stretches longer" | | 8 | "Her hair was shorter now," | | 9 | "The black dress she wore" | | 10 | "Her eyes, though, were the" | | 11 | "He exhaled through his nose," | | 12 | "The bar erupted into laughter." | | 13 | "Some of it genuine." | | 14 | "Some of it nervous." | | 15 | "Silas let go of the" | | 16 | "His signet ring caught the" | | 17 | "She laughed, but it was" | | 18 | "He gestured toward the back," | | 19 | "The words hung between them," |
| | ratio | 0.83 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 100 | | matches | | 0 | "Because for the first time" | | 1 | "Because for the first time" |
| | ratio | 0.02 | |
| 16.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 6 | | matches | | 0 | "Then the woman—tall, sharp-angled in a coat that had seen better decades—turned." | | 1 | "Her hair was shorter now, cropped in a way that made her jawline look sharper, her cheekbones more pronounced." | | 2 | "The black dress she wore was expensive, the kind that whispered *I’ve made it*—or at least, *I’m pretending*." | | 3 | "He exhaled through his nose, a sound like a man who’s just been told his favorite dog died." | | 4 | "The back room was just as she remembered it: shelves of books that weren’t books, a table scarred from too many elbows, a single lamp that burned too bright." | | 5 | "The man who had once been her hero, her mentor, her friend—wasn’t the same." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 6 | | matches | | 0 | "he said, his voice rough as gravel" | | 1 | "He swirled, the ice clinking" | | 2 | "He leaned back, his beard catching the lamplight" | | 3 | "she said, her voice barely above a whisper" | | 4 | "He stepped, his voice dropping to a growl" | | 5 | "she said finally, her voice raw," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 61 | | tagDensity | 0.131 | | leniency | 0.262 | | rawRatio | 0 | | effectiveRatio | 0 | |