| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 35 | | tagDensity | 0.314 | | leniency | 0.629 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1219 | | totalAiIsmAdverbs | 4 | | 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 | 1219 | | totalAiIsms | 27 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | word | "carried the weight" | | count | 1 |
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| | highlights | | 0 | "familiar" | | 1 | "warmth" | | 2 | "comforting" | | 3 | "racing" | | 4 | "clandestine" | | 5 | "sense of" | | 6 | "scanning" | | 7 | "reminder" | | 8 | "whisper" | | 9 | "flicker" | | 10 | "weight" | | 11 | "unspoken" | | 12 | "tracing" | | 13 | "flickered" | | 14 | "eyebrow" | | 15 | "etched" | | 16 | "silence" | | 17 | "symphony" | | 18 | "carried the weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 75.25% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 4 | | narrationSentences | 67 | | matches | | 0 | "the sense of belonging" | | 1 | "d in surprise" | | 2 | "filled with determination" | | 3 | "d with determination" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 90 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1218 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 57 | | wordCount | 943 | | uniqueNames | 8 | | maxNameDensity | 2.44 | | worstName | "Eva" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Eva" | | discoveredNames | | Carter | 1 | | Raven | 1 | | Nest | 2 | | Soho | 1 | | Silas | 7 | | Aurora | 21 | | Eva | 23 | | London | 1 |
| | persons | | 0 | "Carter" | | 1 | "Raven" | | 2 | "Silas" | | 3 | "Aurora" | | 4 | "Eva" |
| | places | | | globalScore | 0.28 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1218 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 90 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 30.45 | | std | 16.9 | | cv | 0.555 | | sampleLengths | | 0 | 70 | | 1 | 57 | | 2 | 16 | | 3 | 54 | | 4 | 55 | | 5 | 24 | | 6 | 38 | | 7 | 80 | | 8 | 15 | | 9 | 26 | | 10 | 41 | | 11 | 15 | | 12 | 20 | | 13 | 27 | | 14 | 26 | | 15 | 30 | | 16 | 13 | | 17 | 28 | | 18 | 12 | | 19 | 40 | | 20 | 20 | | 21 | 25 | | 22 | 25 | | 23 | 33 | | 24 | 12 | | 25 | 19 | | 26 | 21 | | 27 | 43 | | 28 | 10 | | 29 | 52 | | 30 | 37 | | 31 | 25 | | 32 | 20 | | 33 | 23 | | 34 | 22 | | 35 | 56 | | 36 | 13 | | 37 | 12 | | 38 | 45 | | 39 | 18 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 67 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 156 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 90 | | ratio | 0.011 | | matches | | 0 | "Eva's eyes flickered with something—regret, perhaps?" |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 948 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 29 | | adverbRatio | 0.03059071729957806 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010548523206751054 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 90 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 90 | | mean | 13.53 | | std | 6.06 | | cv | 0.448 | | sampleLengths | | 0 | 28 | | 1 | 24 | | 2 | 18 | | 3 | 21 | | 4 | 21 | | 5 | 15 | | 6 | 14 | | 7 | 2 | | 8 | 11 | | 9 | 27 | | 10 | 16 | | 11 | 10 | | 12 | 11 | | 13 | 15 | | 14 | 19 | | 15 | 13 | | 16 | 11 | | 17 | 15 | | 18 | 23 | | 19 | 13 | | 20 | 15 | | 21 | 20 | | 22 | 8 | | 23 | 24 | | 24 | 15 | | 25 | 21 | | 26 | 5 | | 27 | 7 | | 28 | 16 | | 29 | 18 | | 30 | 12 | | 31 | 3 | | 32 | 16 | | 33 | 4 | | 34 | 17 | | 35 | 10 | | 36 | 18 | | 37 | 8 | | 38 | 16 | | 39 | 14 | | 40 | 13 | | 41 | 11 | | 42 | 17 | | 43 | 6 | | 44 | 6 | | 45 | 19 | | 46 | 12 | | 47 | 9 | | 48 | 8 | | 49 | 12 |
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| 50.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.32222222222222224 | | totalSentences | 90 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 76.72% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 67 | | matches | | 0 | "She stepped inside, the warmth" | | 1 | "She spotted Silas behind the" | | 2 | "He was polishing a glass," | | 3 | "he greeted her with a" | | 4 | "she replied, her voice steady" | | 5 | "She hadn't been back to" | | 6 | "She slid onto a barstool," | | 7 | "It was still early, and" | | 8 | "he said, sliding it across" | | 9 | "she murmured, taking a sip" | | 10 | "She glanced at the small" | | 11 | "Her breath caught in her" | | 12 | "It was Eva, her childhood" | | 13 | "Her once vibrant red hair" | | 14 | "he said with a nod" | | 15 | "She set it down and" | | 16 | "she said, her voice firmer" | | 17 | "They moved to a corner" | | 18 | "They sat across from each" | | 19 | "She could see the pain" |
| | ratio | 0.358 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 67 | | matches | | 0 | "Aurora Carter pushed open the" | | 1 | "The green neon sign above" | | 2 | "She stepped inside, the warmth" | | 3 | "The walls were adorned with" | | 4 | "She spotted Silas behind the" | | 5 | "He was polishing a glass," | | 6 | "he greeted her with a" | | 7 | "she replied, her voice steady" | | 8 | "She hadn't been back to" | | 9 | "She slid onto a barstool," | | 10 | "It was still early, and" | | 11 | "The hidden back room, accessible" | | 12 | "Silas set the polished glass" | | 13 | "he said, sliding it across" | | 14 | "she murmured, taking a sip" | | 15 | "She glanced at the small" | | 16 | "The door creaked open again," | | 17 | "Her breath caught in her" | | 18 | "It was Eva, her childhood" | | 19 | "Her once vibrant red hair" |
| | ratio | 0.94 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 67 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 5 | | matches | | 0 | "The walls were adorned with old maps and black-and-white photographs, relics of a world that seemed both distant and intimately familiar." | | 1 | "She glanced at the small crescent-shaped scar on her left wrist, a reminder of a childhood accident that seemed like a lifetime ago." | | 2 | "Her once vibrant red hair was now streaked with grey, and there was a hardness in her green eyes that hadn't been there before." | | 3 | "Eva glanced around the bar, her gaze lingering on Silas for a moment before returning to Aurora." | | 4 | "Silas, who had been quietly observing their reunion, cleared his throat." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 5 | | matches | | 0 | "he greeted, his hazel eyes crinkling at the corners" | | 1 | "she replied, her voice steady but her heart racing" | | 2 | "Eva asked, her voice softer now, almost hesitant" | | 3 | "she said, her voice firmer than she felt" | | 4 | "Aurora began, her voice softer now," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 35 | | tagDensity | 0.257 | | leniency | 0.514 | | rawRatio | 0.111 | | effectiveRatio | 0.057 | |