| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 1 | | adverbTags | | 0 | "She spun around [around]" |
| | dialogueSentences | 46 | | tagDensity | 0.565 | | leniency | 1 | | rawRatio | 0.038 | | effectiveRatio | 0.038 | |
| 91.20% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1136 | | 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) | |
| 29.58% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1136 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "familiar" | | 1 | "stark" | | 2 | "lilt" | | 3 | "whisper" | | 4 | "tinged" | | 5 | "dancing" | | 6 | "fleeting" | | 7 | "etched" | | 8 | "furrowed" | | 9 | "weight" | | 10 | "tension" | | 11 | "unspoken" | | 12 | "silence" | | 13 | "unreadable" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "weight of words/silence" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "the weight of her words" |
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| 75.98% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 3 | | narrationSentences | 51 | | matches | | 0 | "looked surprised" | | 1 | "d with disbelief" | | 2 | "was bitter" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 51 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 70 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1133 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.22% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 676 | | uniqueNames | 5 | | maxNameDensity | 1.04 | | worstName | "Silas" | | maxWindowNameDensity | 2 | | worstWindowName | "Silas" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Welsh | 1 | | Silas | 7 | | Rory | 4 |
| | persons | | | places | | | globalScore | 0.982 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 3 | | matches | | 0 | "as if searching for something" | | 1 | "quite make out" | | 2 | "off, his mind seemingly scrambling to proce" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.883 | | wordCount | 1133 | | matches | | 0 | "not with them anymore, but I can put a word in if you need any" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 97.81% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 30 | | mean | 37.77 | | std | 18.59 | | cv | 0.492 | | sampleLengths | | 0 | 100 | | 1 | 62 | | 2 | 31 | | 3 | 22 | | 4 | 37 | | 5 | 46 | | 6 | 55 | | 7 | 52 | | 8 | 20 | | 9 | 10 | | 10 | 9 | | 11 | 39 | | 12 | 59 | | 13 | 28 | | 14 | 16 | | 15 | 34 | | 16 | 28 | | 17 | 43 | | 18 | 48 | | 19 | 35 | | 20 | 32 | | 21 | 33 | | 22 | 36 | | 23 | 59 | | 24 | 26 | | 25 | 53 | | 26 | 35 | | 27 | 16 | | 28 | 19 | | 29 | 50 |
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| 98.38% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 51 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 111 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 70 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 679 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.029455081001472753 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.014727540500736377 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 70 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 70 | | mean | 16.19 | | std | 9.13 | | cv | 0.564 | | sampleLengths | | 0 | 34 | | 1 | 21 | | 2 | 26 | | 3 | 19 | | 4 | 13 | | 5 | 19 | | 6 | 13 | | 7 | 17 | | 8 | 16 | | 9 | 15 | | 10 | 9 | | 11 | 12 | | 12 | 1 | | 13 | 11 | | 14 | 26 | | 15 | 12 | | 16 | 26 | | 17 | 8 | | 18 | 13 | | 19 | 42 | | 20 | 11 | | 21 | 26 | | 22 | 15 | | 23 | 20 | | 24 | 4 | | 25 | 6 | | 26 | 8 | | 27 | 1 | | 28 | 39 | | 29 | 12 | | 30 | 14 | | 31 | 23 | | 32 | 10 | | 33 | 12 | | 34 | 16 | | 35 | 14 | | 36 | 2 | | 37 | 11 | | 38 | 10 | | 39 | 13 | | 40 | 12 | | 41 | 16 | | 42 | 24 | | 43 | 19 | | 44 | 10 | | 45 | 38 | | 46 | 15 | | 47 | 20 | | 48 | 7 | | 49 | 18 |
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| 87.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5428571428571428 | | totalSentences | 70 | | uniqueOpeners | 38 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 51 | | matches | | 0 | "Her straight black hair, a" | | 1 | "Her Welsh lilt added a" | | 2 | "He squinted, studying her like" | | 3 | "She asked, her voice almost" | | 4 | "He nodded, his eyes widening" | | 5 | "His voice trailed off, his" | | 6 | "She chuckled, a soft, musical" | | 7 | "She gave him a cheeky" | | 8 | "he said with a hint" | | 9 | "His voice trailed off as" | | 10 | "she said, her voice matter-of-fact" | | 11 | "She waved a hand around" | | 12 | "She hid a bitter smile" | | 13 | "His eyes narrowed, curiosity etched" | | 14 | "His brows furrowed, the weight" | | 15 | "He paused, his gaze flicking" | | 16 | "She shrugged, turning to dry" | | 17 | "He cleared his throat, his" | | 18 | "she said, placing the glass" | | 19 | "He took a long sip," |
| | ratio | 0.588 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 51 | | matches | | 0 | "The door to The Raven's" | | 1 | "A tall, familiar figure stepped" | | 2 | "Silas, perched on a stool" | | 3 | "Years of training didn't fade" | | 4 | "A young woman emerged from" | | 5 | "Her straight black hair, a" | | 6 | "Her Welsh lilt added a" | | 7 | "The man, tall and slender," | | 8 | "He squinted, studying her like" | | 9 | "The woman's smile softened, revealing" | | 10 | "She asked, her voice almost" | | 11 | "He nodded, his eyes widening" | | 12 | "His voice trailed off, his" | | 13 | "She chuckled, a soft, musical" | | 14 | "She gave him a cheeky" | | 15 | "he said with a hint" | | 16 | "His voice trailed off as" | | 17 | "she said, her voice matter-of-fact" | | 18 | "She waved a hand around" | | 19 | "She hid a bitter smile" |
| | ratio | 0.98 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 1 | | matches | | 0 | "A tall, familiar figure stepped into the dimly lit bar, his gaze darting around the room as if searching for something." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 8 | | matches | | 0 | "She asked, her voice almost a whisper, tinged with disbelief" | | 1 | "His voice trailed, his mind seemingly scrambling to process the transformation" | | 2 | "She waved, her fingers dancing briefly in the neon light" | | 3 | "Silas took, his eyes softening for a fleeting moment" | | 4 | "He cleared, his voice a little hoarse" | | 5 | "Silas admitted, his voice low and gravelly" | | 6 | "her voice had, a hint of sympathy seeping through" | | 7 | "She spun around, her eyes challenging him" |
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| 41.30% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 5 | | fancyTags | | 0 | "Her Welsh lilt added (add)" | | 1 | "She chuckled (chuckle)" | | 2 | "His voice trailed (trail)" | | 3 | "She put (put)" | | 4 | "Silas admitted (admit)" |
| | dialogueSentences | 46 | | tagDensity | 0.217 | | leniency | 0.435 | | rawRatio | 0.5 | | effectiveRatio | 0.217 | |