| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 30 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 59 | | tagDensity | 0.508 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.40% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1163 | | totalAiIsmAdverbs | 2 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "quickly" | | 1 | "barely above a whisper" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1163 | | totalAiIsms | 37 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | |
| | highlights | | 0 | "scanning" | | 1 | "familiar" | | 2 | "flickered" | | 3 | "traced" | | 4 | "stomach" | | 5 | "weight" | | 6 | "chill" | | 7 | "warmth" | | 8 | "unspoken" | | 9 | "palpable" | | 10 | "pang" | | 11 | "comforting" | | 12 | "racing" | | 13 | "tension" | | 14 | "implication" | | 15 | "echoed" | | 16 | "pulse" | | 17 | "flicker" | | 18 | "reminder" | | 19 | "silence" | | 20 | "whisper" | | 21 | "trepidation" | | 22 | "resonated" | | 23 | "sanctuary" | | 24 | "navigate" | | 25 | "echoes" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "flicker of emotion" | | count | 1 |
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| | highlights | | |
| 92.95% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 52 | | matches | | 0 | "d in surprise" | | 1 | "a flicker of hope" |
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| 87.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 52 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 81 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1161 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 47 | | wordCount | 786 | | uniqueNames | 7 | | maxNameDensity | 2.42 | | worstName | "Aurora" | | maxWindowNameDensity | 6 | | worstWindowName | "Aurora" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Carter | 1 | | Silas | 6 | | Blackwood | 1 | | Aurora | 19 | | Eva | 16 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Silas" | | 4 | "Blackwood" | | 5 | "Aurora" | | 6 | "Eva" |
| | places | (empty) | | globalScore | 0.291 | | windowScore | 0 | |
| 45.83% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a refuge, a place where she c" | | 1 | "felt like a sanctuary, a place where th" |
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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 | 1161 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 32.25 | | std | 19.04 | | cv | 0.591 | | sampleLengths | | 0 | 95 | | 1 | 42 | | 2 | 50 | | 3 | 56 | | 4 | 12 | | 5 | 80 | | 6 | 28 | | 7 | 45 | | 8 | 30 | | 9 | 26 | | 10 | 16 | | 11 | 41 | | 12 | 15 | | 13 | 24 | | 14 | 22 | | 15 | 26 | | 16 | 32 | | 17 | 18 | | 18 | 27 | | 19 | 36 | | 20 | 27 | | 21 | 29 | | 22 | 19 | | 23 | 32 | | 24 | 26 | | 25 | 19 | | 26 | 32 | | 27 | 27 | | 28 | 19 | | 29 | 14 | | 30 | 19 | | 31 | 15 | | 32 | 28 | | 33 | 28 | | 34 | 23 | | 35 | 83 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 52 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 126 | | matches | (empty) | |
| 37.04% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 1 | | flaggedSentences | 3 | | totalSentences | 81 | | ratio | 0.037 | | matches | | 0 | "“Rory,” Eva replied, her voice a mixture of surprise and something else—something unspoken that hung between them like a fragile thread." | | 1 | "“And what about you? You left too, didn’t you? But you didn’t just run; you reinvented yourself.”" | | 2 | "Aurora felt a spark of something—possibility, perhaps." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 792 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 14 | | adverbRatio | 0.017676767676767676 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005050505050505051 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 81 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 81 | | mean | 14.33 | | std | 7 | | cv | 0.488 | | sampleLengths | | 0 | 20 | | 1 | 24 | | 2 | 25 | | 3 | 26 | | 4 | 16 | | 5 | 22 | | 6 | 4 | | 7 | 19 | | 8 | 31 | | 9 | 26 | | 10 | 16 | | 11 | 14 | | 12 | 12 | | 13 | 13 | | 14 | 23 | | 15 | 17 | | 16 | 27 | | 17 | 21 | | 18 | 7 | | 19 | 22 | | 20 | 19 | | 21 | 4 | | 22 | 18 | | 23 | 12 | | 24 | 18 | | 25 | 8 | | 26 | 16 | | 27 | 16 | | 28 | 19 | | 29 | 6 | | 30 | 8 | | 31 | 7 | | 32 | 19 | | 33 | 5 | | 34 | 13 | | 35 | 9 | | 36 | 6 | | 37 | 15 | | 38 | 5 | | 39 | 22 | | 40 | 10 | | 41 | 6 | | 42 | 12 | | 43 | 7 | | 44 | 20 | | 45 | 19 | | 46 | 17 | | 47 | 21 | | 48 | 6 | | 49 | 22 |
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| 69.55% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.43209876543209874 | | totalSentences | 81 | | uniqueOpeners | 35 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 52 | | matches | | 0 | "She absently traced the small" | | 1 | "He emerged from behind the" | | 2 | "she replied, her voice steady" | | 3 | "It had been a long" | | 4 | "Her hair was sleek and" | | 5 | "she said, forcing a smile" | | 6 | "She glanced at Silas, who" | | 7 | "she said, her voice sharper" | | 8 | "she said, her heart swelling" |
| | ratio | 0.173 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 52 | | matches | | 0 | "The Raven's Nest hummed with" | | 1 | "Aurora Carter leaned against the" | | 2 | "The walls, adorned with old" | | 3 | "She absently traced the small" | | 4 | "Silas called, his voice a" | | 5 | "He emerged from behind the" | | 6 | "she replied, her voice steady" | | 7 | "It had been a long" | | 8 | "The newcomer stepped inside, shaking" | | 9 | "Aurora’s breath caught in her" | | 10 | "The name slipped from her" | | 11 | "The woman turned, her features" | | 12 | "Eva, once a vibrant spirit" | | 13 | "Her hair was sleek and" | | 14 | "The years had sculpted her" | | 15 | "Eva replied, her voice a" | | 16 | "Aurora felt the weight of" | | 17 | "she said, forcing a smile" | | 18 | "Eva replied, her gaze flickering" | | 19 | "Aurora said, her voice steady" |
| | ratio | 0.942 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 4 | | matches | | 0 | "The walls, adorned with old maps and black-and-white photographs, whispered stories of a time long past, much like the memories that flickered in her mind." | | 1 | "Eva, once a vibrant spirit with wild curls and an infectious laugh, now stood before her with a polished elegance that felt foreign." | | 2 | "Her hair was sleek and straight, framing a face that had matured into something striking, yet distant." | | 3 | "She glanced at Silas, who was now polishing a glass, his attention divided but his presence a comforting anchor." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 30 | | uselessAdditionCount | 13 | | matches | | 0 | "Eva asked, her tone casual, but Aurora could sense the underlying curiosity" | | 1 | "she said, her voice sharper than intended" | | 2 | "Aurora echoed, her pulse quickening" | | 3 | "Aurora shot back, the words escaping before she could rein them in" | | 4 | "Eva said, her voice softening" | | 5 | "Aurora said, the sincerity breaking through the tension" | | 6 | "Eva admitted, her voice barely above a whisper" | | 7 | "Aurora said, her heart aching with the weight of unspoken regrets" | | 8 | "Eva smiled, a genuine warmth returning to her expression" | | 9 | "Aurora mused, the words hanging in the air" | | 10 | "Eva said, her voice steady" | | 11 | "she said, her heart swelling with a mix of hope and trepidation" | | 12 | "Eva replied, her smile brightening the shadows of the bar" |
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| 99.15% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 20 | | fancyCount | 3 | | fancyTags | | 0 | "Aurora laughed (laugh)" | | 1 | "Eva admitted (admit)" | | 2 | "Eva suggested (suggest)" |
| | dialogueSentences | 59 | | tagDensity | 0.339 | | leniency | 0.678 | | rawRatio | 0.15 | | effectiveRatio | 0.102 | |