| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 24 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 45 | | tagDensity | 0.533 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 70.39% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1182 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "really" | | 1 | "gently" | | 2 | "precisely" | | 3 | "truly" | | 4 | "carefully" | | 5 | "very" | | 6 | "slightly" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 6.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1182 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | word | "down her spine" | | count | 1 |
| | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "reminder" | | 1 | "fractured" | | 2 | "stomach" | | 3 | "flicker" | | 4 | "unreadable" | | 5 | "eyebrow" | | 6 | "silence" | | 7 | "unspoken" | | 8 | "echoing" | | 9 | "chill" | | 10 | "down her spine" | | 11 | "warmth" | | 12 | "sense of" | | 13 | "whisper" | | 14 | "navigate" | | 15 | "glint" | | 16 | "facade" | | 17 | "unwavering" |
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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 | 79 | | matches | | |
| 88.61% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 79 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "started to" | | 2 | "tried to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1182 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 1 | | matches | | 0 | "Finally, he spoke, his voice low and sincere." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 822 | | uniqueNames | 8 | | maxNameDensity | 0.61 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Marseille | 1 | | Earl | 1 | | Grey | 1 | | Ptolemy | 2 | | Eva | 2 | | Aurora | 5 | | Veil | 1 | | Lucien | 4 |
| | persons | | 0 | "Earl" | | 1 | "Grey" | | 2 | "Eva" | | 3 | "Aurora" | | 4 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 62.28% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 2 | | matches | | 0 | "tasted like dust and regret, she released" | | 1 | "suit that seemed to absorb the light" |
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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 | 1182 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 30.31 | | std | 15.16 | | cv | 0.5 | | sampleLengths | | 0 | 48 | | 1 | 50 | | 2 | 28 | | 3 | 62 | | 4 | 20 | | 5 | 31 | | 6 | 20 | | 7 | 17 | | 8 | 31 | | 9 | 42 | | 10 | 39 | | 11 | 11 | | 12 | 25 | | 13 | 55 | | 14 | 37 | | 15 | 12 | | 16 | 23 | | 17 | 23 | | 18 | 23 | | 19 | 18 | | 20 | 37 | | 21 | 16 | | 22 | 19 | | 23 | 34 | | 24 | 62 | | 25 | 6 | | 26 | 27 | | 27 | 11 | | 28 | 10 | | 29 | 25 | | 30 | 29 | | 31 | 35 | | 32 | 12 | | 33 | 45 | | 34 | 32 | | 35 | 38 | | 36 | 44 | | 37 | 20 | | 38 | 65 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 79 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 154 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 100 | | ratio | 0.01 | | matches | | 0 | "His platinum blond hair was, as always, slicked back, revealing the sharp angles of his face and the unsettlingly mismatched color of his eyes – amber and black, a constant visual reminder of his fractured heritage." |
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| 98.24% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 822 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.0413625304136253 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.02068126520681265 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 11.82 | | std | 7.17 | | cv | 0.607 | | sampleLengths | | 0 | 13 | | 1 | 11 | | 2 | 1 | | 3 | 4 | | 4 | 9 | | 5 | 10 | | 6 | 8 | | 7 | 14 | | 8 | 18 | | 9 | 10 | | 10 | 20 | | 11 | 8 | | 12 | 26 | | 13 | 36 | | 14 | 16 | | 15 | 4 | | 16 | 13 | | 17 | 18 | | 18 | 12 | | 19 | 8 | | 20 | 17 | | 21 | 15 | | 22 | 11 | | 23 | 5 | | 24 | 10 | | 25 | 17 | | 26 | 5 | | 27 | 5 | | 28 | 5 | | 29 | 8 | | 30 | 31 | | 31 | 11 | | 32 | 13 | | 33 | 12 | | 34 | 11 | | 35 | 34 | | 36 | 10 | | 37 | 7 | | 38 | 17 | | 39 | 13 | | 40 | 6 | | 41 | 6 | | 42 | 16 | | 43 | 7 | | 44 | 11 | | 45 | 12 | | 46 | 16 | | 47 | 7 | | 48 | 11 | | 49 | 7 |
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| 65.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.41 | | totalSentences | 100 | | uniqueOpeners | 41 | |
| 92.59% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 72 | | matches | | 0 | "Perhaps she’d been right." | | 1 | "Finally, he spoke, his voice" |
| | ratio | 0.028 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 72 | | matches | | 0 | "She hadn’t seen him in" | | 1 | "She hesitated, her hand hovering" | | 2 | "she said, the name a" | | 3 | "He stood there, bathed in" | | 4 | "His platinum blond hair was," | | 5 | "he replied, his voice a" | | 6 | "She didn't offer an invitation," | | 7 | "She kept her voice even," | | 8 | "He tilted his head, a" | | 9 | "She started to close the" | | 10 | "His hand, long-fingered and impeccably" | | 11 | "She looked at his hand," | | 12 | "She opened the door wider." | | 13 | "she said, stepping back" | | 14 | "He stepped inside, his movements" | | 15 | "He raised an eyebrow, a" | | 16 | "He surveyed the cluttered space," | | 17 | "She busied herself with the" | | 18 | "He leaned against the bookshelf," | | 19 | "She slid two chipped mugs" |
| | ratio | 0.639 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 72 | | matches | | 0 | "The deadbolts clicked, a surprisingly" | | 1 | "Aurora peered through the small" | | 2 | "She hadn’t seen him in" | | 3 | "She hesitated, her hand hovering" | | 4 | "Part of her wanted to" | | 5 | "she said, the name a" | | 6 | "He stood there, bathed in" | | 7 | "His platinum blond hair was," | | 8 | "he replied, his voice a" | | 9 | "She didn't offer an invitation," | | 10 | "She kept her voice even," | | 11 | "He tilted his head, a" | | 12 | "She started to close the" | | 13 | "His hand, long-fingered and impeccably" | | 14 | "The ivory handle of his" | | 15 | "She looked at his hand," | | 16 | "She opened the door wider." | | 17 | "she said, stepping back" | | 18 | "He stepped inside, his movements" | | 19 | "The flat smelled of old" |
| | ratio | 0.875 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 79.83% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 3 | | matches | | 0 | "He stood there, bathed in the orange glow of the curry house below, looking impossibly elegant in a charcoal suit that seemed to absorb the light." | | 1 | "It was a reminder of the strange, unsettling power that simmered beneath her skin." | | 2 | "She looked away, focusing on Ptolemy, who was now attempting to knead Lucien’s expensive trousers." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 24 | | uselessAdditionCount | 10 | | matches | | 0 | "she said, the name a brittle sound" | | 1 | "Aurora agreed, her voice clipped" | | 2 | "he said, his voice low" | | 3 | "she asked, hoping to deflect" | | 4 | "he paused, his gaze locking with hers," | | 5 | "she said, her voice barely a whisper" | | 6 | "He leaned, his gaze intense" | | 7 | "she repeated, her voice strained" | | 8 | "she asked, her voice cold" | | 9 | "He straightened, his gaze unwavering" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 7 | | fancyTags | | 0 | "Lucien observed (observe)" | | 1 | "Aurora agreed (agree)" | | 2 | "she pressed (press)" | | 3 | "he explained (explain)" | | 4 | "he confirmed (confirm)" | | 5 | "she repeated (repeat)" | | 6 | "he added (add)" |
| | dialogueSentences | 45 | | tagDensity | 0.378 | | leniency | 0.756 | | rawRatio | 0.412 | | effectiveRatio | 0.311 | |