| 7.69% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 5 | | adverbTags | | 0 | "he asked finally [finally]" | | 1 | "he asked quietly [quietly]" | | 2 | "she said softly [softly]" | | 3 | "he remarked dryly [dryly]" | | 4 | "Evan said quietly [quietly]" |
| | dialogueSentences | 52 | | tagDensity | 0.442 | | leniency | 0.885 | | rawRatio | 0.217 | | effectiveRatio | 0.192 | |
| 74.64% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1183 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "softly" | | 1 | "slowly" | | 2 | "carefully" | | 3 | "lightly" | | 4 | "sharply" |
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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) | |
| 2.79% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1183 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "familiar" | | 1 | "scanned" | | 2 | "echoing" | | 3 | "footsteps" | | 4 | "flicked" | | 5 | "warmth" | | 6 | "echoed" | | 7 | "silence" | | 8 | "traced" | | 9 | "weight" | | 10 | "raced" | | 11 | "tension" | | 12 | "could feel" | | 13 | "pounding" | | 14 | "etched" | | 15 | "unreadable" | | 16 | "racing" | | 17 | "firmly" | | 18 | "encounter" |
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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 | 1 | | narrationSentences | 85 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 85 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 114 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1175 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 1 | | matches | | 0 | "But she would, she told herself, because she had no other choice." |
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| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 987 | | uniqueNames | 8 | | maxNameDensity | 1.22 | | worstName | "Evan" | | maxWindowNameDensity | 3 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Thursday | 1 | | Silas | 7 | | Cardiff | 2 | | London | 1 | | Rory | 11 | | Evan | 12 |
| | persons | | 0 | "Nest" | | 1 | "Silas" | | 2 | "Rory" | | 3 | "Evan" |
| | places | | 0 | "Raven" | | 1 | "Cardiff" | | 2 | "London" |
| | globalScore | 0.892 | | windowScore | 0.667 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 3 | | matches | | 0 | "as if testing the name on his tongue" | | 1 | "quite shaken" | | 2 | "as if trying to piece together the person she’d become" |
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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 | 1175 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 114 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 22.17 | | std | 19.67 | | cv | 0.887 | | sampleLengths | | 0 | 113 | | 1 | 30 | | 2 | 14 | | 3 | 12 | | 4 | 47 | | 5 | 5 | | 6 | 82 | | 7 | 24 | | 8 | 12 | | 9 | 40 | | 10 | 24 | | 11 | 23 | | 12 | 18 | | 13 | 42 | | 14 | 14 | | 15 | 13 | | 16 | 7 | | 17 | 50 | | 18 | 9 | | 19 | 8 | | 20 | 2 | | 21 | 13 | | 22 | 11 | | 23 | 9 | | 24 | 38 | | 25 | 6 | | 26 | 8 | | 27 | 13 | | 28 | 8 | | 29 | 11 | | 30 | 17 | | 31 | 13 | | 32 | 25 | | 33 | 19 | | 34 | 5 | | 35 | 24 | | 36 | 13 | | 37 | 12 | | 38 | 22 | | 39 | 33 | | 40 | 9 | | 41 | 42 | | 42 | 20 | | 43 | 12 | | 44 | 15 | | 45 | 15 | | 46 | 13 | | 47 | 6 | | 48 | 23 | | 49 | 35 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 85 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 194 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 114 | | ratio | 0.061 | | matches | | 0 | "She didn’t turn—until a voice she hadn’t heard in years froze her in place." | | 1 | "Slowly, she turned her head, and there he was—Evan." | | 2 | "But his eyes—those piercing grey eyes—were the same." | | 3 | "She hadn’t been called that in years—not since she’d left Cardiff, not since she’d left him." | | 4 | "Rory’s mind raced with memories—long nights spent laughing, whispered promises, and the bitter, broken end of it all." | | 5 | "For the first time in years, he felt the full weight of his choices—and the impossible task of trying to undo them." | | 6 | "And tonight, it had come knocking at her door—bringing with it ghosts she wasn’t sure she could face." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 997 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.028084252758274825 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.012036108324974924 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 114 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 114 | | mean | 10.31 | | std | 6.1 | | cv | 0.592 | | sampleLengths | | 0 | 21 | | 1 | 21 | | 2 | 29 | | 3 | 25 | | 4 | 17 | | 5 | 15 | | 6 | 15 | | 7 | 10 | | 8 | 4 | | 9 | 5 | | 10 | 7 | | 11 | 18 | | 12 | 15 | | 13 | 14 | | 14 | 5 | | 15 | 3 | | 16 | 13 | | 17 | 9 | | 18 | 20 | | 19 | 17 | | 20 | 8 | | 21 | 12 | | 22 | 7 | | 23 | 15 | | 24 | 2 | | 25 | 11 | | 26 | 1 | | 27 | 10 | | 28 | 16 | | 29 | 14 | | 30 | 11 | | 31 | 10 | | 32 | 3 | | 33 | 18 | | 34 | 5 | | 35 | 9 | | 36 | 4 | | 37 | 5 | | 38 | 13 | | 39 | 17 | | 40 | 12 | | 41 | 14 | | 42 | 13 | | 43 | 6 | | 44 | 1 | | 45 | 13 | | 46 | 18 | | 47 | 19 | | 48 | 9 | | 49 | 6 |
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| 75.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.45614035087719296 | | totalSentences | 114 | | uniqueOpeners | 52 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 84 | | matches | | 0 | "Slowly, she turned her head," | | 1 | "Instead, she finished her drink" | | 2 | "Meanwhile, Rory climbed the stairs" |
| | ratio | 0.036 | |
| 5.71% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 84 | | matches | | 0 | "She scanned the room, her" | | 1 | "His silver signet ring caught" | | 2 | "She slid onto a stool" | | 3 | "she said, her Cardiff accent" | | 4 | "she replied, shrugging" | | 5 | "He nodded, setting a glass" | | 6 | "She didn’t turn—until a voice" | | 7 | "She knew that voice, though" | | 8 | "His hair was shorter, darker," | | 9 | "They flicked to her, and" | | 10 | "He set a glass down" | | 11 | "She hadn’t been called that" | | 12 | "she said, her voice steady" | | 13 | "he repeated, as if testing" | | 14 | "He slid onto the stool" | | 15 | "She took a sip of" | | 16 | "he said, a shadow of" | | 17 | "she shot back, her tone" | | 18 | "He chuckled, a low, humorless" | | 19 | "They lapsed into silence again," |
| | ratio | 0.536 | |
| 25.48% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 84 | | matches | | 0 | "The green neon sign buzzed" | | 1 | "Rory pushed open the heavy" | | 2 | "The bar was quiet for" | | 3 | "She scanned the room, her" | | 4 | "His silver signet ring caught" | | 5 | "She slid onto a stool" | | 6 | "she said, her Cardiff accent" | | 7 | "Silas glanced up, his hazel" | | 8 | "she replied, shrugging" | | 9 | "He nodded, setting a glass" | | 10 | "She didn’t turn—until a voice" | | 11 | "Rory’s breath caught." | | 12 | "She knew that voice, though" | | 13 | "The years had carved new" | | 14 | "His hair was shorter, darker," | | 15 | "They flicked to her, and" | | 16 | "Silas said, his tone carefully" | | 17 | "He set a glass down" | | 18 | "Evan replied, though his gaze" | | 19 | "The name hit her like" |
| | ratio | 0.869 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 84 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 1 | | matches | | 0 | "She could feel him watching her, studying her, as if trying to piece together the person she’d become." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 11 | | matches | | 0 | "Silas said, his tone carefully neutral" | | 1 | "Evan replied, though his gaze remained fixed on Rory" | | 2 | "she said, her voice steady despite the storm raging inside her" | | 3 | "he repeated, as if testing the name on his tongue" | | 4 | "She took, the warmth doing little to settle her nerves" | | 5 | "he said, a shadow of a smile playing on his lips" | | 6 | "she shot back, her tone sharper than she intended" | | 7 | "she replied, her voice clipped" | | 8 | "he murmured, more to himself than to her" | | 9 | "she snapped, her cool demeanor cracking" | | 10 | "he said, his voice raw with emotion" |
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| 53.85% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 18 | | fancyCount | 5 | | fancyTags | | 0 | "he repeated (repeat)" | | 1 | "he murmured (murmur)" | | 2 | "she snapped (snap)" | | 3 | "she interrupted (interrupt)" | | 4 | "Evan muttered (mutter)" |
| | dialogueSentences | 52 | | tagDensity | 0.346 | | leniency | 0.692 | | rawRatio | 0.278 | | effectiveRatio | 0.192 | |