| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 28 | | adverbTagCount | 3 | | adverbTags | | 0 | "His hand rested casually [casually]" | | 1 | "he said quietly [quietly]" | | 2 | "he said suddenly [suddenly]" |
| | dialogueSentences | 133 | | tagDensity | 0.211 | | leniency | 0.421 | | rawRatio | 0.107 | | effectiveRatio | 0.045 | |
| 87.42% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1988 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "truly" | | 1 | "suddenly" | | 2 | "slightly" |
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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) | |
| 39.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1988 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "tracing" | | 1 | "familiar" | | 2 | "sanctuary" | | 3 | "eyebrow" | | 4 | "flickered" | | 5 | "measured" | | 6 | "silk" | | 7 | "silence" | | 8 | "flicked" | | 9 | "chill" | | 10 | "tension" | | 11 | "traced" | | 12 | "fractured" | | 13 | "complex" | | 14 | "footsteps" | | 15 | "stomach" | | 16 | "intensity" | | 17 | "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 | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 107 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 107 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 211 | | 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 | 1972 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 28 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 995 | | uniqueNames | 9 | | maxNameDensity | 1.71 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 17 | | Raven | 3 | | Nest | 3 | | Friday | 3 | | Evan | 12 | | Silas | 9 | | Swiss | 1 | | London | 1 | | Five | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Evan" | | 4 | "Silas" |
| | places | | | globalScore | 0.646 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 2.028 | | wordCount | 1972 | | matches | | 0 | "not jealousy, exactly, but a complex emotion she couldn't immediately name" | | 1 | "Not to go back, but to go forward without the weight of unfinished business" | | 2 | "not forgiveness, not yet, but perhaps the first crack in a wall she hadn't realized was st" | | 3 | "not yet, but perhaps the first crack in a wall she hadn't realized was st" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 211 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 135 | | mean | 14.61 | | std | 9.84 | | cv | 0.674 | | sampleLengths | | 0 | 43 | | 1 | 37 | | 2 | 22 | | 3 | 24 | | 4 | 45 | | 5 | 28 | | 6 | 19 | | 7 | 15 | | 8 | 27 | | 9 | 15 | | 10 | 12 | | 11 | 25 | | 12 | 5 | | 13 | 30 | | 14 | 18 | | 15 | 5 | | 16 | 24 | | 17 | 13 | | 18 | 33 | | 19 | 24 | | 20 | 21 | | 21 | 37 | | 22 | 4 | | 23 | 5 | | 24 | 6 | | 25 | 8 | | 26 | 11 | | 27 | 7 | | 28 | 5 | | 29 | 14 | | 30 | 8 | | 31 | 22 | | 32 | 1 | | 33 | 4 | | 34 | 9 | | 35 | 5 | | 36 | 15 | | 37 | 12 | | 38 | 2 | | 39 | 28 | | 40 | 24 | | 41 | 11 | | 42 | 10 | | 43 | 8 | | 44 | 21 | | 45 | 22 | | 46 | 18 | | 47 | 12 | | 48 | 4 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 107 | | matches | | |
| 94.74% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 190 | | matches | | 0 | "was watching was reading" | | 1 | "was waiting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 211 | | ratio | 0.057 | | matches | | 0 | "Not the drink—her body had tensed first, muscles locking in that primal recognition that precedes conscious thought." | | 1 | "The Friday night crowd was thinner than usual—a blessing, Aurora thought, as it left fewer witnesses to whatever was about to unfold." | | 2 | "His eyes—still that same unsettling shade of green—flickered toward the bar, then back to her face." | | 3 | "Up close, she could see the subtle signs of wealth—the Swiss watch, the faint scent of cologne that probably cost more than her weekly rent above the bar." | | 4 | "A flash of something—anger?" | | 5 | "resignation?—crossed his face." | | 6 | "Their eyes met, and for a moment, she saw the boy she'd loved before everything fractured—before his insecurities curdled into control, before his ambition became a weapon." | | 7 | "Something tightened in Aurora's chest—not jealousy, exactly, but a complex emotion she couldn't immediately name." | | 8 | "Behind the bar, Silas was watching them more openly now, his hazel eyes narrowed with the intensity that suggested he was reading lips—an old habit from his intelligence days." | | 9 | "Aurora thought of the girl she'd been—ambitious, naive, believing she could fix someone broken." | | 10 | "Thought of who she was now—cautious, guarded, living a life nothing like what she'd planned." | | 11 | "Aurora felt something shift within her—not forgiveness, not yet, but perhaps the first crack in a wall she hadn't realized was still standing." |
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| 99.55% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 864 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.04050925925925926 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.017361111111111112 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 211 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 211 | | mean | 9.35 | | std | 6.02 | | cv | 0.645 | | sampleLengths | | 0 | 10 | | 1 | 17 | | 2 | 16 | | 3 | 18 | | 4 | 19 | | 5 | 6 | | 6 | 16 | | 7 | 14 | | 8 | 1 | | 9 | 4 | | 10 | 5 | | 11 | 23 | | 12 | 22 | | 13 | 15 | | 14 | 8 | | 15 | 5 | | 16 | 2 | | 17 | 12 | | 18 | 5 | | 19 | 15 | | 20 | 17 | | 21 | 10 | | 22 | 9 | | 23 | 6 | | 24 | 12 | | 25 | 16 | | 26 | 9 | | 27 | 5 | | 28 | 12 | | 29 | 18 | | 30 | 18 | | 31 | 5 | | 32 | 8 | | 33 | 14 | | 34 | 2 | | 35 | 6 | | 36 | 7 | | 37 | 21 | | 38 | 12 | | 39 | 24 | | 40 | 10 | | 41 | 11 | | 42 | 9 | | 43 | 28 | | 44 | 4 | | 45 | 5 | | 46 | 6 | | 47 | 4 | | 48 | 4 | | 49 | 6 |
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| 62.88% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.4028436018957346 | | totalSentences | 211 | | uniqueOpeners | 85 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 51.58% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 40 | | totalSentences | 95 | | matches | | 0 | "Her eyes had caught the" | | 1 | "she muttered, ducking to retrieve" | | 2 | "She knew the slope of" | | 3 | "Her fingers found the crescent-shaped" | | 4 | "She gave a small shake" | | 5 | "she said, the words falling" | | 6 | "His eyes—still that same unsettling" | | 7 | "His hazel eyes assessed Evan" | | 8 | "His hand rested casually on" | | 9 | "he said, the words flat" | | 10 | "She gestured toward the barstool" | | 11 | "His suit whispered expensively as" | | 12 | "His eyes traveled over her," | | 13 | "He turned his tumbler, watching" | | 14 | "he finally asked" | | 15 | "His eyes flicked toward the" | | 16 | "His eyebrows shot up." | | 17 | "he said, voice lower" | | 18 | "His knuckles whitened around his" | | 19 | "He nodded toward her left" |
| | ratio | 0.421 | |
| 33.68% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 81 | | totalSentences | 95 | | matches | | 0 | "The glass slipped from Aurora's" | | 1 | "Her eyes had caught the" | | 2 | "she muttered, ducking to retrieve" | | 3 | "She knew the slope of" | | 4 | "Her fingers found the crescent-shaped" | | 5 | "Here, of all places." | | 6 | "The neon green sign outside" | | 7 | "The Friday night crowd was" | | 8 | "Silas caught her eye from" | | 9 | "She gave a small shake" | | 10 | "This was hers to handle." | | 11 | "That's all it took to" | | 12 | "she said, the words falling" | | 13 | "Evan's head snapped up, recognition" | | 14 | "The boy had been carved" | | 15 | "The nickname felt wrong in" | | 16 | "His eyes—still that same unsettling" | | 17 | "Silas appeared at her elbow," | | 18 | "His hazel eyes assessed Evan" | | 19 | "His hand rested casually on" |
| | ratio | 0.853 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 95 | | matches | (empty) | | ratio | 0 | |
| 79.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 3 | | matches | | 0 | "Not the drink—her body had tensed first, muscles locking in that primal recognition that precedes conscious thought." | | 1 | "His hazel eyes assessed Evan with the practiced neutrality of someone who'd interrogated worse men in worse places." | | 2 | "She walked away, feeling his gaze on her back, feeling the years between them like a physical thing." |
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| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 28 | | uselessAdditionCount | 2 | | matches | | 0 | "she said, the words falling between them like stones" | | 1 | "he said, voice lower" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 4 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "Evan pressed (press)" | | 2 | "Evan observed (observe)" | | 3 | "he agreed (agree)" |
| | dialogueSentences | 133 | | tagDensity | 0.098 | | leniency | 0.195 | | rawRatio | 0.308 | | effectiveRatio | 0.06 | |