| 43.14% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 4 | | adverbTags | | 0 | "she said finally [finally]" | | 1 | "Silas said quietly [quietly]" | | 2 | "she said finally [finally]" | | 3 | "Just said [Just]" |
| | dialogueSentences | 51 | | tagDensity | 0.196 | | leniency | 0.392 | | rawRatio | 0.4 | | effectiveRatio | 0.157 | |
| 78.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1180 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "really" | | 2 | "carefully" |
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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) | |
| 57.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1180 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "flickered" | | 1 | "unreadable" | | 2 | "unspoken" | | 3 | "pulse" | | 4 | "silence" | | 5 | "raced" | | 6 | "could feel" | | 7 | "weight" |
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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 | 118 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 118 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 156 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 6 | | totalWords | 1171 | | ratio | 0.005 | | matches | | 0 | "The Raven’s Nest" | | 1 | "you" | | 2 | "him" | | 3 | "Evan." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 940 | | uniqueNames | 8 | | maxNameDensity | 1.81 | | worstName | "Silas" | | maxWindowNameDensity | 4 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 2 | | Blackwood | 1 | | Like | 1 | | Silas | 17 | | Rory | 7 | | Evan | 3 | | Nest | 2 | | Didn | 4 |
| | persons | | 0 | "Raven" | | 1 | "Blackwood" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Evan" | | 5 | "Nest" |
| | places | (empty) | | globalScore | 0.596 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 1 | | matches | | 0 | "symbols that seemed to pulse under her fingers" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.854 | | wordCount | 1171 | | matches | | 0 | "Not just because of the words, but because of the way he said them" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 156 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 72 | | mean | 16.26 | | std | 13.79 | | cv | 0.848 | | sampleLengths | | 0 | 1 | | 1 | 65 | | 2 | 4 | | 3 | 1 | | 4 | 46 | | 5 | 46 | | 6 | 4 | | 7 | 14 | | 8 | 2 | | 9 | 2 | | 10 | 54 | | 11 | 4 | | 12 | 11 | | 13 | 12 | | 14 | 21 | | 15 | 28 | | 16 | 31 | | 17 | 13 | | 18 | 16 | | 19 | 9 | | 20 | 18 | | 21 | 10 | | 22 | 39 | | 23 | 2 | | 24 | 24 | | 25 | 11 | | 26 | 10 | | 27 | 10 | | 28 | 33 | | 29 | 9 | | 30 | 11 | | 31 | 30 | | 32 | 7 | | 33 | 13 | | 34 | 27 | | 35 | 10 | | 36 | 17 | | 37 | 11 | | 38 | 35 | | 39 | 8 | | 40 | 6 | | 41 | 10 | | 42 | 9 | | 43 | 44 | | 44 | 17 | | 45 | 13 | | 46 | 50 | | 47 | 4 | | 48 | 13 | | 49 | 30 |
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| 96.34% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 118 | | matches | | 0 | "were lined" | | 1 | "was streaked" | | 2 | "been, locked" |
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| 28.18% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 194 | | matches | | 0 | "was bracing" | | 1 | "was polishing" | | 2 | "was running" | | 3 | "wasn’t running" | | 4 | "was running" |
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| 51.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 156 | | ratio | 0.032 | | matches | | 0 | "The door to *The Raven’s Nest* swung open with a groan, and the scent of aged whiskey and something sharper—like copper and old parchment—hit the air." | | 1 | "The hidden door—always hidden—creaked open before she could reach it." | | 2 | "She crossed her arms, her fingers brushing the scar on her wrist—old, faded, but still there." | | 3 | "Not just because of the words, but because of the way he said them—the way his voice dropped, just slightly, like he was bracing for something." | | 4 | "The ink was faded, but the symbols were clear—circles, lines, the kind of markings that made her skin crawl." |
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| 94.47% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 950 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 44 | | adverbRatio | 0.04631578947368421 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010526315789473684 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 156 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 156 | | mean | 7.5 | | std | 5.53 | | cv | 0.738 | | sampleLengths | | 0 | 26 | | 1 | 17 | | 2 | 22 | | 3 | 4 | | 4 | 1 | | 5 | 3 | | 6 | 2 | | 7 | 31 | | 8 | 10 | | 9 | 13 | | 10 | 22 | | 11 | 11 | | 12 | 4 | | 13 | 11 | | 14 | 3 | | 15 | 2 | | 16 | 2 | | 17 | 2 | | 18 | 8 | | 19 | 16 | | 20 | 18 | | 21 | 10 | | 22 | 4 | | 23 | 3 | | 24 | 8 | | 25 | 5 | | 26 | 7 | | 27 | 16 | | 28 | 5 | | 29 | 10 | | 30 | 12 | | 31 | 6 | | 32 | 5 | | 33 | 26 | | 34 | 3 | | 35 | 2 | | 36 | 8 | | 37 | 5 | | 38 | 2 | | 39 | 9 | | 40 | 5 | | 41 | 4 | | 42 | 3 | | 43 | 4 | | 44 | 6 | | 45 | 5 | | 46 | 10 | | 47 | 2 | | 48 | 9 | | 49 | 14 |
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| 45.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.2564102564102564 | | totalSentences | 156 | | uniqueOpeners | 40 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 14 | | totalSentences | 107 | | matches | | 0 | "Then he saw her." | | 1 | "Just kept walking toward the" | | 2 | "Then he pushed off the" | | 3 | "Just watched her, his gaze" | | 4 | "Then he reached into his" | | 5 | "Just a single sheet, yellowed" | | 6 | "Just stared at the way" | | 7 | "Instead, she said," | | 8 | "Just unfolded the paper and" | | 9 | "Then she looked back at" | | 10 | "Then she folded it carefully," | | 11 | "Then she walked out, the" | | 12 | "Just pulled out her wallet" | | 13 | "Then she walked out into" |
| | ratio | 0.131 | |
| 92.90% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 34 | | totalSentences | 107 | | matches | | 0 | "She didn’t turn." | | 1 | "His auburn hair was streaked" | | 2 | "His hazel eyes, sharp as" | | 3 | "She exhaled through her nose," | | 4 | "She didn’t flinch." | | 5 | "She crossed her arms, her" | | 6 | "He said it like it" | | 7 | "His voice was steady" | | 8 | "She laughed, sharp and bitter." | | 9 | "She didn’t take it." | | 10 | "she said finally" | | 11 | "Her breath caught." | | 12 | "She wanted to ask how" | | 13 | "She wanted to tear the" | | 14 | "She looked up at him," | | 15 | "His beard was trimmed, but" | | 16 | "He leaned forward, just slightly." | | 17 | "She could run." | | 18 | "She could walk out that" | | 19 | "She picked it up." |
| | ratio | 0.318 | |
| 90.84% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 79 | | totalSentences | 107 | | matches | | 0 | "The door to *The Raven’s" | | 1 | "A woman in a black" | | 2 | "The bartender, a gaunt man" | | 3 | "She didn’t turn." | | 4 | "The hidden door—always hidden—creaked open" | | 5 | "Silas Blackwood leaned against the" | | 6 | "His auburn hair was streaked" | | 7 | "His hazel eyes, sharp as" | | 8 | "She exhaled through her nose," | | 9 | "The kind where the air" | | 10 | "The space was smaller than" | | 11 | "A single lamp flickered, casting" | | 12 | "She didn’t flinch." | | 13 | "Silas chuckled, low and rough." | | 14 | "She crossed her arms, her" | | 15 | "He said it like it" | | 16 | "The air between them shifted." | | 17 | "Rory’s throat tightened." | | 18 | "His voice was steady" | | 19 | "She laughed, sharp and bitter." |
| | ratio | 0.738 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 107 | | matches | (empty) | | ratio | 0 | |
| 79.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 3 | | matches | | 0 | "Just kept walking toward the back, where the walls were lined with yellowed maps and the air smelled of stale cigarette smoke and something older, something tha…" | | 1 | "She exhaled through her nose, a sound that was half-laugh, half-irritation." | | 2 | "The bartender was polishing a glass, his scar pulling tight as he watched her." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "Silas continued, his voice low" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 1 | | fancyTags | | 0 | "Silas continued (continue)" |
| | dialogueSentences | 51 | | tagDensity | 0.196 | | leniency | 0.392 | | rawRatio | 0.1 | | effectiveRatio | 0.039 | |