| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 43 | | tagDensity | 0.395 | | leniency | 0.791 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.31% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1032 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1032 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | word | "practiced ease" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | word | "carried the weight" | | count | 1 |
| | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "scanning" | | 1 | "practiced ease" | | 2 | "familiar" | | 3 | "sanctuary" | | 4 | "glint" | | 5 | "carried the weight" | | 6 | "tracing" | | 7 | "testament" | | 8 | "chill" | | 9 | "raced" | | 10 | "weight" | | 11 | "reminder" | | 12 | "unspoken" | | 13 | "comforting" | | 14 | "silence" | | 15 | "warmth" | | 16 | "sense of" | | 17 | "oppressive" |
| |
| 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 | 64 | | matches | (empty) | |
| 75.89% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 64 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1031 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 787 | | uniqueNames | 10 | | maxNameDensity | 1.65 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Carter | 1 | | Rory | 13 | | Golden | 1 | | Empress | 1 | | Silas | 7 | | Blackwood | 1 | | Evan | 8 | | Cardiff | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Rory" | | 4 | "Silas" | | 5 | "Blackwood" | | 6 | "Evan" |
| | places | | | globalScore | 0.674 | | windowScore | 0.667 | |
| 16.07% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 3 | | matches | | 0 | "rumble that seemed to resonate with the very walls of the bar" | | 1 | "quite place" | | 2 | "as if testing the waters" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.97 | | wordCount | 1031 | | matches | | 0 | "not easy, but I'm trying" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 22.41 | | std | 13.87 | | cv | 0.619 | | sampleLengths | | 0 | 80 | | 1 | 58 | | 2 | 24 | | 3 | 35 | | 4 | 25 | | 5 | 24 | | 6 | 49 | | 7 | 3 | | 8 | 53 | | 9 | 16 | | 10 | 27 | | 11 | 17 | | 12 | 10 | | 13 | 27 | | 14 | 10 | | 15 | 27 | | 16 | 17 | | 17 | 21 | | 18 | 13 | | 19 | 13 | | 20 | 16 | | 21 | 11 | | 22 | 20 | | 23 | 13 | | 24 | 13 | | 25 | 32 | | 26 | 14 | | 27 | 23 | | 28 | 15 | | 29 | 15 | | 30 | 23 | | 31 | 21 | | 32 | 18 | | 33 | 19 | | 34 | 19 | | 35 | 20 | | 36 | 13 | | 37 | 26 | | 38 | 14 | | 39 | 18 | | 40 | 11 | | 41 | 15 | | 42 | 8 | | 43 | 33 | | 44 | 22 | | 45 | 30 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 64 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 133 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 89 | | ratio | 0.011 | | matches | | 0 | "\"Rory,\" he said, his voice a mix of surprise and something else—something she couldn't quite place." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 788 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.021573604060913704 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005076142131979695 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 11.58 | | std | 5.76 | | cv | 0.497 | | sampleLengths | | 0 | 22 | | 1 | 19 | | 2 | 20 | | 3 | 19 | | 4 | 21 | | 5 | 21 | | 6 | 16 | | 7 | 24 | | 8 | 20 | | 9 | 15 | | 10 | 19 | | 11 | 6 | | 12 | 9 | | 13 | 10 | | 14 | 5 | | 15 | 18 | | 16 | 16 | | 17 | 15 | | 18 | 3 | | 19 | 4 | | 20 | 25 | | 21 | 9 | | 22 | 15 | | 23 | 16 | | 24 | 9 | | 25 | 18 | | 26 | 10 | | 27 | 7 | | 28 | 8 | | 29 | 2 | | 30 | 7 | | 31 | 20 | | 32 | 6 | | 33 | 4 | | 34 | 12 | | 35 | 15 | | 36 | 10 | | 37 | 7 | | 38 | 12 | | 39 | 9 | | 40 | 7 | | 41 | 6 | | 42 | 13 | | 43 | 8 | | 44 | 8 | | 45 | 11 | | 46 | 7 | | 47 | 13 | | 48 | 10 | | 49 | 3 |
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| 61.80% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.4044943820224719 | | totalSentences | 89 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 64 | | matches | (empty) | | ratio | 0 | |
| 32.50% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 64 | | matches | | 0 | "She had just finished her" | | 1 | "She nodded to Silas Blackwood," | | 2 | "His hazel eyes met hers" | | 3 | "His voice carried the weight" | | 4 | "She settled onto the stool," | | 5 | "It was Evan." | | 6 | "He looked different, older." | | 7 | "His hair, once a wild" | | 8 | "They locked onto hers, and" | | 9 | "he said, his voice a" | | 10 | "Her voice was steady, though" | | 11 | "She hadn't seen him since" | | 12 | "He approached, his movements cautious," | | 13 | "She gestured to the stool" | | 14 | "He hesitated, then nodded, taking" | | 15 | "He chuckled, a sound that" | | 16 | "she agreed, her gaze drifting" | | 17 | "she replied, her tone light" | | 18 | "He nodded, taking a sip" | | 19 | "he insisted, his voice earnest" |
| | ratio | 0.469 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 61 | | totalSentences | 64 | | matches | | 0 | "The Raven's Nest hummed with" | | 1 | "The green neon sign outside" | | 2 | "Aurora Carter, known to most" | | 3 | "She had just finished her" | | 4 | "The bar was a familiar" | | 5 | "She nodded to Silas Blackwood," | | 6 | "His hazel eyes met hers" | | 7 | "His voice carried the weight" | | 8 | "She settled onto the stool," | | 9 | "The wood was smooth and" | | 10 | "Silas poured her a glass" | | 11 | "Rory replied, taking a sip" | | 12 | "The liquid burned pleasantly, warming" | | 13 | "Rory glanced over her shoulder," | | 14 | "The man stepped inside, shaking" | | 15 | "It was Evan." | | 16 | "He looked different, older." | | 17 | "His hair, once a wild" | | 18 | "They locked onto hers, and" | | 19 | "he said, his voice a" |
| | ratio | 0.953 | |
| 78.13% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 64 | | matches | | 0 | "Before Silas could respond, the" |
| | ratio | 0.016 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 4 | | matches | | 0 | "She nodded to Silas Blackwood, who stood behind the bar, his presence as steady as the oak counter he leaned against." | | 1 | "His hair, once a wild mane of curls, was now neatly trimmed, and his face bore the lines of someone who had seen too much." | | 2 | "He approached, his movements cautious, as if testing the waters." | | 3 | "The bar continued to buzz around them, a cocoon of noise that made their conversation feel intimate, private." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 8 | | matches | | 0 | "She settled, her fingers tracing the edge of the bar" | | 1 | "she agreed, her gaze drifting to the scar on her wrist" | | 2 | "he insisted, his voice earnest" | | 3 | "Rory asked, her curiosity getting the better of her" | | 4 | "he admitted, his shoulders slumping" | | 5 | "he agreed, a hint of nostalgia in his voice" | | 6 | "she allowed, a small smile tugging at her lips" | | 7 | "Evan asked, his voice tentative" |
| |
| 56.98% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 4 | | fancyTags | | 0 | "she agreed (agree)" | | 1 | "he insisted (insist)" | | 2 | "he admitted (admit)" | | 3 | "he agreed (agree)" |
| | dialogueSentences | 43 | | tagDensity | 0.233 | | leniency | 0.465 | | rawRatio | 0.4 | | effectiveRatio | 0.186 | |