| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory pushed hard [hard]" |
| | dialogueSentences | 24 | | tagDensity | 0.833 | | leniency | 1 | | rawRatio | 0.05 | | effectiveRatio | 0.05 | |
| 86.07% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 718 | | totalAiIsmAdverbs | 2 | | 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) | |
| 37.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 718 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "stark" | | 1 | "weight" | | 2 | "chill" | | 3 | "firmly" | | 4 | "pulse" | | 5 | "warmth" |
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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 | 0 | | narrationSentences | 29 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 29 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 33 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 39 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 715 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 22.05% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 508 | | uniqueNames | 7 | | maxNameDensity | 2.56 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Brick | 1 | | Lane | 1 | | Eva | 1 | | Rory | 13 | | Lucien | 12 | | London | 1 | | Ptolemy | 1 |
| | persons | | | places | | | globalScore | 0.22 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 29 | | 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 | 715 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 33 | | matches | (empty) | |
| 47.59% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 27.5 | | std | 8.71 | | cv | 0.317 | | sampleLengths | | 0 | 39 | | 1 | 44 | | 2 | 20 | | 3 | 23 | | 4 | 32 | | 5 | 24 | | 6 | 27 | | 7 | 31 | | 8 | 46 | | 9 | 38 | | 10 | 29 | | 11 | 23 | | 12 | 22 | | 13 | 29 | | 14 | 29 | | 15 | 22 | | 16 | 22 | | 17 | 15 | | 18 | 39 | | 19 | 37 | | 20 | 23 | | 21 | 16 | | 22 | 20 | | 23 | 32 | | 24 | 20 | | 25 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 29 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 85 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 33 | | ratio | 0.061 | | matches | | 0 | "His heterochromatic eyes locked onto hers—one amber, one stark black." | | 1 | "\"I handle my own ribs,\" Rory said, tilting her chin up to meet his mismatched gaze, refusing to step back even as his cologne—smoke and crushed mint—overwhelmed her senses." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 514 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.0311284046692607 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.009727626459143969 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 33 | | echoCount | 0 | | echoWords | (empty) | |
| 79.54% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 33 | | mean | 21.67 | | std | 7.56 | | cv | 0.349 | | sampleLengths | | 0 | 15 | | 1 | 24 | | 2 | 12 | | 3 | 22 | | 4 | 10 | | 5 | 20 | | 6 | 23 | | 7 | 32 | | 8 | 24 | | 9 | 27 | | 10 | 31 | | 11 | 20 | | 12 | 26 | | 13 | 31 | | 14 | 7 | | 15 | 29 | | 16 | 23 | | 17 | 22 | | 18 | 29 | | 19 | 29 | | 20 | 17 | | 21 | 5 | | 22 | 22 | | 23 | 15 | | 24 | 39 | | 25 | 18 | | 26 | 19 | | 27 | 23 | | 28 | 16 | | 29 | 20 | | 30 | 32 | | 31 | 20 | | 32 | 13 |
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| 90.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5454545454545454 | | totalSentences | 33 | | uniqueOpeners | 18 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 29 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 1 | | totalSentences | 29 | | matches | | 0 | "His heterochromatic eyes locked onto" |
| | ratio | 0.034 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 28 | | totalSentences | 29 | | matches | | 0 | "Rory pulled the steel bolt" | | 1 | "Platinum blond hair caught the" | | 2 | "Lucien stood on the threshold," | | 3 | "His heterochromatic eyes locked onto" | | 4 | "Lucien said, his thumb hooking" | | 5 | "Rory retorted, her fingers tightening" | | 6 | "Lucien stepped past her shoulder" | | 7 | "Ptolemy the tabby bolted from" | | 8 | "Rory said, slamming the heavy" | | 9 | "Lucien set his cane against" | | 10 | "Rory said, crossing her arms" | | 11 | "Lucien said, closing the distance" | | 12 | "Rory said, tilting her chin" | | 13 | "Lucien murmured, his gaze dropping" | | 14 | "Rory pushed hard against his" | | 15 | "Lucien caught her wrists mid-shove," | | 16 | "Rory strained against his grip," | | 17 | "Lucien said, his voice dropping" | | 18 | "Rory snapped, though she stopped" | | 19 | "Lucien said, the admission falling" |
| | ratio | 0.966 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 29 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 9 | | technicalSentenceCount | 2 | | matches | | 0 | "Lucien stood on the threshold, filling the cramped landing in a tailored charcoal suit that smelled faintly of rain and expensive tobacco." | | 1 | "Rory let out a shaky breath, her fingers sliding up the wool of his lapel to rest against the side of his neck, feeling the warmth of his skin beneath her palm." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 7 | | matches | | 0 | "Lucien set, his platinum hair catching the light as he turned" | | 1 | "Rory pushed hard, her palms flat against the dark wool of his suit" | | 2 | "Lucien said, his voice dropping an octave, losing its polished edge" | | 3 | "Lucien said, the admission falling between them with the weight of lead" | | 4 | "Lucien said, his jaw tightening as the mask slipped entirely" | | 5 | "Rory whispered, the fight draining out of her limbs" | | 6 | "Lucien said, his gaze searching her face with raw desperation" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 5 | | fancyTags | | 0 | "Rory retorted (retort)" | | 1 | "Lucien murmured (murmur)" | | 2 | "Rory snapped (snap)" | | 3 | "Rory whispered (whisper)" | | 4 | "Lucien murmured (murmur)" |
| | dialogueSentences | 24 | | tagDensity | 0.625 | | leniency | 1 | | rawRatio | 0.333 | | effectiveRatio | 0.333 | |