| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 2 | | adverbTags | | 0 | "Her fingers tightened around [around]" | | 1 | "he started then [then]" |
| | dialogueSentences | 79 | | tagDensity | 0.241 | | leniency | 0.481 | | rawRatio | 0.105 | | effectiveRatio | 0.051 | |
| 92.52% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1337 | | totalAiIsmAdverbs | 2 | | 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) | |
| 55.12% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1337 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "flickered" | | 1 | "weight" | | 2 | "methodical" | | 3 | "flicked" | | 4 | "stomach" | | 5 | "wavered" | | 6 | "silence" | | 7 | "warmth" |
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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 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 105 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 105 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 166 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 8 | | markdownWords | 13 | | totalWords | 1327 | | ratio | 0.01 | | matches | | 0 | "The Raven’s Nest" | | 1 | "The Raven’s Nest" | | 2 | "do" | | 3 | "dare" | | 4 | "don’t" | | 5 | "could’ve been" | | 6 | "suffocated" | | 7 | "known" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.27% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 873 | | uniqueNames | 8 | | maxNameDensity | 1.37 | | worstName | "Evan" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 2 | | London | 1 | | Yu-Fei | 1 | | Rory | 11 | | Evan | 12 | | Silas | 3 | | Rough | 1 | | Cleared | 1 |
| | persons | | 0 | "Raven" | | 1 | "Rory" | | 2 | "Evan" | | 3 | "Silas" |
| | places | | | globalScore | 0.813 | | windowScore | 0.833 | |
| 57.41% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 2 | | matches | | 0 | "quite steady" | | 1 | "looked like a stranger" |
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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 | 1327 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 166 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 83 | | mean | 15.99 | | std | 18.02 | | cv | 1.127 | | sampleLengths | | 0 | 90 | | 1 | 40 | | 2 | 2 | | 3 | 14 | | 4 | 9 | | 5 | 1 | | 6 | 35 | | 7 | 30 | | 8 | 10 | | 9 | 5 | | 10 | 93 | | 11 | 3 | | 12 | 10 | | 13 | 13 | | 14 | 46 | | 15 | 5 | | 16 | 11 | | 17 | 2 | | 18 | 3 | | 19 | 16 | | 20 | 8 | | 21 | 23 | | 22 | 1 | | 23 | 44 | | 24 | 10 | | 25 | 1 | | 26 | 1 | | 27 | 1 | | 28 | 21 | | 29 | 3 | | 30 | 11 | | 31 | 2 | | 32 | 3 | | 33 | 8 | | 34 | 22 | | 35 | 11 | | 36 | 37 | | 37 | 4 | | 38 | 10 | | 39 | 16 | | 40 | 52 | | 41 | 57 | | 42 | 9 | | 43 | 11 | | 44 | 11 | | 45 | 20 | | 46 | 41 | | 47 | 10 | | 48 | 1 | | 49 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 105 | | matches | (empty) | |
| 35.39% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 162 | | matches | | 0 | "was polishing" | | 1 | "was trying" | | 2 | "was bracing" | | 3 | "was telling" |
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| 91.22% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 166 | | ratio | 0.018 | | matches | | 0 | "Inside, the hum of conversation wrapped around the clink of glasses, the air thick with the scent of aged whiskey and something older—leather, tobacco, secrets." | | 1 | "He stopped just short of the bar, close enough that she caught the scent of his cologne—something expensive, citrus and spice, undercut with the faint metallic tang of sweat." | | 2 | "The scar on her left wrist—old, faded—ached in memory." |
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| 89.52% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 481 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.05197505197505198 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.008316008316008316 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 166 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 166 | | mean | 7.99 | | std | 7.61 | | cv | 0.953 | | sampleLengths | | 0 | 21 | | 1 | 25 | | 2 | 20 | | 3 | 24 | | 4 | 17 | | 5 | 19 | | 6 | 4 | | 7 | 2 | | 8 | 14 | | 9 | 2 | | 10 | 6 | | 11 | 1 | | 12 | 1 | | 13 | 13 | | 14 | 15 | | 15 | 7 | | 16 | 20 | | 17 | 3 | | 18 | 7 | | 19 | 10 | | 20 | 5 | | 21 | 24 | | 22 | 27 | | 23 | 28 | | 24 | 14 | | 25 | 3 | | 26 | 9 | | 27 | 1 | | 28 | 4 | | 29 | 6 | | 30 | 3 | | 31 | 3 | | 32 | 1 | | 33 | 13 | | 34 | 29 | | 35 | 5 | | 36 | 8 | | 37 | 3 | | 38 | 2 | | 39 | 3 | | 40 | 6 | | 41 | 8 | | 42 | 2 | | 43 | 4 | | 44 | 4 | | 45 | 8 | | 46 | 11 | | 47 | 4 | | 48 | 13 | | 49 | 8 |
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| 68.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.43373493975903615 | | totalSentences | 166 | | uniqueOpeners | 72 | |
| 83.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 80 | | matches | | 0 | "Actually flinched, like she’d struck" | | 1 | "Then she remembered the way" |
| | ratio | 0.025 | |
| 75.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 80 | | matches | | 0 | "She’d just dropped off the" | | 1 | "She slid onto a stool" | | 2 | "He didn’t look up." | | 3 | "He poured two fingers of" | | 4 | "She took a sip, let" | | 5 | "His jaw was sharper now," | | 6 | "He wore a tailored overcoat," | | 7 | "His voice dropped, low and" | | 8 | "She didn’t answer." | | 9 | "He stopped just short of" | | 10 | "Her fingers tightened around the" | | 11 | "He glanced at Silas, then" | | 12 | "He exhaled smoke into the" | | 13 | "He took another drag" | | 14 | "He flicked ash onto the" | | 15 | "She pushed off the wall." | | 16 | "His voice was quiet" | | 17 | "His hands clenched into fists," | | 18 | "She cut him off" | | 19 | "He looked at her, really" |
| | ratio | 0.363 | |
| 41.25% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 80 | | matches | | 0 | "The green neon sign of" | | 1 | "Rory wiped the back of" | | 2 | "She’d just dropped off the" | | 3 | "She slid onto a stool" | | 4 | "Silas was polishing a glass" | | 5 | "He didn’t look up." | | 6 | "The glass clinked onto the" | | 7 | "He poured two fingers of" | | 8 | "Rory wrapped her fingers around" | | 9 | "She took a sip, let" | | 10 | "The door swung open behind" | | 11 | "Rory didn’t turn." | | 12 | "Rory twisted on her stool." | | 13 | "The man in the doorway" | | 14 | "His jaw was sharper now," | | 15 | "He wore a tailored overcoat," | | 16 | "Evan exhaled, a sound that" | | 17 | "His voice dropped, low and" | | 18 | "She didn’t answer." | | 19 | "Evan stepped forward, the soles" |
| | ratio | 0.838 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "The man in the doorway had lost the boyish roundness of his cheeks, the easy grin that used to split his face in half." | | 1 | "Rory leaned against the wall, arms crossed, watching Evan light a cigarette with hands that didn’t quite steady." |
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| 98.68% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, not looking at her," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 79 | | tagDensity | 0.114 | | leniency | 0.228 | | rawRatio | 0 | | effectiveRatio | 0 | |