| 91.89% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 2 | | adverbTags | | 0 | "Lucien’s fingers tightened around [around]" | | 1 | "he said softly [softly]" |
| | dialogueSentences | 37 | | tagDensity | 0.351 | | leniency | 0.703 | | rawRatio | 0.154 | | effectiveRatio | 0.108 | |
| 79.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 749 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "lazily" | | 1 | "slowly" | | 2 | "softly" |
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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) | |
| 59.95% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 749 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "flicked" | | 1 | "desire" | | 2 | "pulse" | | 3 | "silence" | | 4 | "stomach" | | 5 | "could feel" |
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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 | 49 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 49 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 72 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 11 | | markdownWords | 11 | | totalWords | 744 | | ratio | 0.015 | | matches | | 0 | "clink" | | 1 | "us" | | 2 | "us" | | 3 | "thump" | | 4 | "months" | | 5 | "did" | | 6 | "left" | | 7 | "ghosted" | | 8 | "him" | | 9 | "me" | | 10 | "should" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 59.09% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 495 | | uniqueNames | 5 | | maxNameDensity | 1.82 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 9 | | Ptolemy | 2 | | French | 1 | | Lucien | 7 | | Drakos | 1 |
| | persons | | 0 | "Rory" | | 1 | "Ptolemy" | | 2 | "Lucien" | | 3 | "Drakos" |
| | places | (empty) | | globalScore | 0.591 | | windowScore | 0.833 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 32 | | glossingSentenceCount | 1 | | matches | | 0 | "quite pulled from the lock" |
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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 | 744 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 72 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 24 | | std | 14.27 | | cv | 0.594 | | sampleLengths | | 0 | 59 | | 1 | 47 | | 2 | 4 | | 3 | 33 | | 4 | 35 | | 5 | 27 | | 6 | 27 | | 7 | 7 | | 8 | 13 | | 9 | 39 | | 10 | 13 | | 11 | 50 | | 12 | 6 | | 13 | 23 | | 14 | 44 | | 15 | 15 | | 16 | 24 | | 17 | 33 | | 18 | 33 | | 19 | 35 | | 20 | 6 | | 21 | 3 | | 22 | 9 | | 23 | 20 | | 24 | 23 | | 25 | 14 | | 26 | 13 | | 27 | 21 | | 28 | 20 | | 29 | 33 | | 30 | 15 |
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| 90.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 49 | | matches | | 0 | "being drawn" | | 1 | "was draped" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 99 | | matches | | |
| 63.49% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 72 | | ratio | 0.028 | | matches | | 0 | "The scent of turmeric and old paper rushed out to meet her, but beneath it—faint, insistent—was the warm, spiced cologne she’d spent three years trying to forget." | | 1 | "She cared about the way his hands had felt on her skin, the way his voice dropped when he spoke her name, the way he’d looked at her like she was something precious—right before he’d walked away." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 499 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.03206412825651302 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.008016032064128256 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 72 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 72 | | mean | 10.33 | | std | 7.38 | | cv | 0.714 | | sampleLengths | | 0 | 12 | | 1 | 20 | | 2 | 27 | | 3 | 19 | | 4 | 20 | | 5 | 8 | | 6 | 4 | | 7 | 3 | | 8 | 22 | | 9 | 6 | | 10 | 2 | | 11 | 14 | | 12 | 20 | | 13 | 1 | | 14 | 12 | | 15 | 9 | | 16 | 6 | | 17 | 19 | | 18 | 8 | | 19 | 7 | | 20 | 6 | | 21 | 7 | | 22 | 8 | | 23 | 13 | | 24 | 18 | | 25 | 7 | | 26 | 6 | | 27 | 18 | | 28 | 13 | | 29 | 19 | | 30 | 3 | | 31 | 3 | | 32 | 14 | | 33 | 9 | | 34 | 4 | | 35 | 3 | | 36 | 37 | | 37 | 14 | | 38 | 1 | | 39 | 6 | | 40 | 18 | | 41 | 20 | | 42 | 13 | | 43 | 14 | | 44 | 19 | | 45 | 3 | | 46 | 11 | | 47 | 15 | | 48 | 6 | | 49 | 4 |
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| 66.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4166666666666667 | | totalSentences | 72 | | uniqueOpeners | 30 | |
| 70.92% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 47 | | matches | | 0 | "Then, slowly, he reached into" |
| | ratio | 0.021 | |
| 58.30% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 47 | | matches | | 0 | "She wiped it on her" | | 1 | "He set the teacup down" | | 2 | "His heterochromatic gaze flicked up," | | 3 | "He pushed off the counter," | | 4 | "His mouth twisted" | | 5 | "He laughed, a dry, humorless" | | 6 | "She bent to scratch behind" | | 7 | "She straightened, meeting his gaze" | | 8 | "She *did* care." | | 9 | "She cared about the way" | | 10 | "His fingers twitched at his" | | 11 | "She held up a hand" | | 12 | "His voice rose, the French" | | 13 | "He held it out to" | | 14 | "He unfolded the paper, revealing" | | 15 | "She recognized the face instantly." | | 16 | "She wanted to say no." | | 17 | "She *should* say no." | | 18 | "he said softly" |
| | ratio | 0.404 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 44 | | totalSentences | 47 | | matches | | 0 | "The deadbolt scraped back with" | | 1 | "Rory stood frozen in the" | | 2 | "The scent of turmeric and" | | 3 | "Lucien leaned against the kitchen" | | 4 | "Ptolemy was draped over his" | | 5 | "The cat’s amber eyes locked" | | 6 | "Rory looked down." | | 7 | "A thin red line snaked" | | 8 | "She wiped it on her" | | 9 | "He set the teacup down" | | 10 | "His heterochromatic gaze flicked up," | | 11 | "The word hung between them," | | 12 | "Rory’s pulse jumped, but she" | | 13 | "He pushed off the counter," | | 14 | "His mouth twisted" | | 15 | "Rory stepped inside and kicked" | | 16 | "The lock clicked into place," | | 17 | "He laughed, a dry, humorless" | | 18 | "Ptolemy chose that moment to" | | 19 | "She bent to scratch behind" |
| | ratio | 0.936 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 16 | | technicalSentenceCount | 1 | | matches | | 0 | "His fingers twitched at his side, as if he wanted to reach for her." |
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| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 1 | | matches | | 0 | "heterochromatic gaze flicked up, the black eye swallowing the light" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 37 | | tagDensity | 0.081 | | leniency | 0.162 | | rawRatio | 0.333 | | effectiveRatio | 0.054 | |