| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "she finally said [finally]" |
| | dialogueSentences | 56 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0.05 | | effectiveRatio | 0.036 | |
| 94.72% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 947 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 947 | | totalAiIsms | 23 | | found | | | highlights | | 0 | "shattered" | | 1 | "furrowing" | | 2 | "racing" | | 3 | "encounter" | | 4 | "pulse" | | 5 | "glinting" | | 6 | "reminder" | | 7 | "eyebrow" | | 8 | "dancing" | | 9 | "unspoken" | | 10 | "tension" | | 11 | "flickered" | | 12 | "familiar" | | 13 | "weight" | | 14 | "silence" | | 15 | "delved" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "weight of words/silence" | | count | 2 |
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| | highlights | | 0 | "the weight of his words" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 57 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 57 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 940 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 8 | | wordCount | 638 | | uniqueNames | 4 | | maxNameDensity | 0.63 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Lucien" | | discoveredNames | | Eva | 1 | | Ptolemy | 2 | | Lucien | 4 | | Moreau | 1 |
| | persons | | | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | 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 | 940 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 15.41 | | std | 10.2 | | cv | 0.662 | | sampleLengths | | 0 | 51 | | 1 | 18 | | 2 | 8 | | 3 | 39 | | 4 | 12 | | 5 | 8 | | 6 | 1 | | 7 | 21 | | 8 | 31 | | 9 | 10 | | 10 | 21 | | 11 | 27 | | 12 | 4 | | 13 | 17 | | 14 | 9 | | 15 | 16 | | 16 | 10 | | 17 | 28 | | 18 | 6 | | 19 | 13 | | 20 | 17 | | 21 | 4 | | 22 | 12 | | 23 | 17 | | 24 | 3 | | 25 | 20 | | 26 | 17 | | 27 | 31 | | 28 | 3 | | 29 | 24 | | 30 | 16 | | 31 | 25 | | 32 | 3 | | 33 | 12 | | 34 | 15 | | 35 | 36 | | 36 | 6 | | 37 | 3 | | 38 | 16 | | 39 | 31 | | 40 | 12 | | 41 | 2 | | 42 | 6 | | 43 | 24 | | 44 | 15 | | 45 | 8 | | 46 | 5 | | 47 | 18 | | 48 | 17 | | 49 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 57 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 115 | | matches | (empty) | |
| 49.69% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 92 | | ratio | 0.033 | | matches | | 0 | "His platinum blond hair gleamed under the dim light, and his heterochromatic eyes—one amber, one black—locked onto hers." | | 1 | "She hesitated, memories flooding back—his laughter, their late-night conversations, the way he made her feel alive." | | 2 | "The sharp lines of his face, the way his eyes flickered with emotion—it all felt familiar yet distant." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 644 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.024844720496894408 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004658385093167702 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 10.22 | | std | 4.93 | | cv | 0.482 | | sampleLengths | | 0 | 18 | | 1 | 19 | | 2 | 14 | | 3 | 6 | | 4 | 12 | | 5 | 8 | | 6 | 6 | | 7 | 5 | | 8 | 10 | | 9 | 18 | | 10 | 12 | | 11 | 8 | | 12 | 1 | | 13 | 13 | | 14 | 8 | | 15 | 13 | | 16 | 18 | | 17 | 10 | | 18 | 21 | | 19 | 16 | | 20 | 11 | | 21 | 4 | | 22 | 17 | | 23 | 9 | | 24 | 12 | | 25 | 4 | | 26 | 10 | | 27 | 12 | | 28 | 16 | | 29 | 6 | | 30 | 13 | | 31 | 9 | | 32 | 8 | | 33 | 4 | | 34 | 8 | | 35 | 4 | | 36 | 9 | | 37 | 8 | | 38 | 3 | | 39 | 12 | | 40 | 8 | | 41 | 10 | | 42 | 7 | | 43 | 13 | | 44 | 18 | | 45 | 3 | | 46 | 11 | | 47 | 13 | | 48 | 9 | | 49 | 7 |
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| 76.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.45652173913043476 | | totalSentences | 92 | | uniqueOpeners | 42 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 57 | | matches | | 0 | "She stirred a pot of" | | 1 | "She wiped her hands on" | | 2 | "she muttered, her brow furrowing" | | 3 | "She hesitated, her heart racing." | | 4 | "They hadn’t parted on good" | | 5 | "His voice, smooth and commanding," | | 6 | "She froze, the spoon clattering" | | 7 | "She reached for the deadbolt," | | 8 | "His platinum blond hair gleamed" | | 9 | "she breathed, the name tasting" | | 10 | "He leaned against the doorframe," | | 11 | "She hesitated, memories flooding back—his" | | 12 | "He raised an eyebrow, a" | | 13 | "He gestured with a flick" | | 14 | "He surveyed the clutter, his" | | 15 | "She crossed her arms, trying" | | 16 | "He turned, his expression shifting" | | 17 | "She scoffed, the word bitter" | | 18 | "She rolled her eyes, the" | | 19 | "His voice dropped, sincerity threading" |
| | ratio | 0.667 | |
| 12.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 57 | | matches | | 0 | "Aurora stood in the cramped" | | 1 | "She stirred a pot of" | | 2 | "The tabby cat, Ptolemy, lounged" | | 3 | "A sudden knock shattered the" | | 4 | "She wiped her hands on" | | 5 | "she muttered, her brow furrowing" | | 6 | "Another knock, more insistent this" | | 7 | "She hesitated, her heart racing." | | 8 | "The last person she expected" | | 9 | "They hadn’t parted on good" | | 10 | "His voice, smooth and commanding," | | 11 | "She froze, the spoon clattering" | | 12 | "She reached for the deadbolt," | | 13 | "The door swung open, revealing" | | 14 | "His platinum blond hair gleamed" | | 15 | "she breathed, the name tasting" | | 16 | "He leaned against the doorframe," | | 17 | "She hesitated, memories flooding back—his" | | 18 | "He raised an eyebrow, a" | | 19 | "The word felt heavy, laden" |
| | ratio | 0.895 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 57 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 13 | | matches | | 0 | "she muttered, her brow furrowing" | | 1 | "she breathed, the name tasting foreign on her tongue" | | 2 | "He raised, a hint of mischief dancing in his eyes" | | 3 | "He gestured, his voice softening" | | 4 | "She crossed, trying to maintain her composure" | | 5 | "She rolled, the memories of their last fight surfacing" | | 6 | "His voice dropped, sincerity threading through his words" | | 7 | "His voice softened, the edges of his confidence fraying" | | 8 | "she finally said, her voice steady" | | 9 | "he said, his tone serious" | | 10 | "she suggested, trying to steer the conversation away from the past" | | 11 | "He straightened, his demeanor shifting back to business" | | 12 | "He leaned, his cane resting beside him" |
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| 96.43% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she breathed (breathe)" | | 2 | "she suggested (suggest)" |
| | dialogueSentences | 56 | | tagDensity | 0.089 | | leniency | 0.179 | | rawRatio | 0.6 | | effectiveRatio | 0.107 | |