| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.529 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 71.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 702 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "suddenly" | | 1 | "really" | | 2 | "truly" | | 3 | "slowly" |
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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) | |
| 85.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 702 | | totalAiIsms | 2 | | found | | | highlights | | |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "flicker of emotion" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 49 | | matches | | |
| 55.39% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 49 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 54 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 67 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 703 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 1 | | matches | | 0 | "On all that I am, I promise." |
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| 75.74% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 606 | | uniqueNames | 6 | | maxNameDensity | 1.49 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 6 | | Rory | 9 | | Forgive | 1 | | God | 1 | | Evi | 1 | | Slowly | 1 |
| | persons | | | places | | | globalScore | 0.757 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | 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 | 703 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 54 | | matches | | |
| 60.50% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 15 | | mean | 46.87 | | std | 16.95 | | cv | 0.362 | | sampleLengths | | 0 | 36 | | 1 | 8 | | 2 | 40 | | 3 | 40 | | 4 | 26 | | 5 | 57 | | 6 | 57 | | 7 | 56 | | 8 | 83 | | 9 | 45 | | 10 | 44 | | 11 | 56 | | 12 | 37 | | 13 | 53 | | 14 | 65 |
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| 98.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 49 | | matches | | |
| 18.18% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 110 | | matches | | 0 | "was like stepping" | | 1 | "wasn't lying" | | 2 | "was listening" |
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| 37.04% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 54 | | ratio | 0.037 | | matches | | 0 | "So little had changed — the faded turquoise walls, the tattered oriental rug, the hundreds of books and scrolls piled haphazardly on every available surface." | | 1 | "Eva's eyes crinkled at the corners as a tentative smile formed on her lips. She withered under Rory's loving gaze, letting the truth of her own heart spill loose. Already, she knew she would relent, would take that leap of faith and wrap her arms around her girl. Strictly for EVI's sake. Because her heart wouldn't—not couldnt — endure another day without Rory in it." |
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| 84.06% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 481 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.058212058212058215 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.016632016632016633 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 54 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 54 | | mean | 13.02 | | std | 11.07 | | cv | 0.85 | | sampleLengths | | 0 | 15 | | 1 | 10 | | 2 | 11 | | 3 | 8 | | 4 | 4 | | 5 | 11 | | 6 | 25 | | 7 | 3 | | 8 | 26 | | 9 | 7 | | 10 | 4 | | 11 | 12 | | 12 | 14 | | 13 | 12 | | 14 | 25 | | 15 | 20 | | 16 | 14 | | 17 | 6 | | 18 | 18 | | 19 | 19 | | 20 | 39 | | 21 | 9 | | 22 | 8 | | 23 | 8 | | 24 | 13 | | 25 | 4 | | 26 | 14 | | 27 | 4 | | 28 | 4 | | 29 | 12 | | 30 | 24 | | 31 | 45 | | 32 | 20 | | 33 | 6 | | 34 | 18 | | 35 | 7 | | 36 | 7 | | 37 | 4 | | 38 | 3 | | 39 | 9 | | 40 | 16 | | 41 | 10 | | 42 | 12 | | 43 | 10 | | 44 | 15 | | 45 | 3 | | 46 | 7 | | 47 | 6 | | 48 | 8 | | 49 | 11 |
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| 83.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5555555555555556 | | totalSentences | 54 | | uniqueOpeners | 30 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 46 | | matches | | 0 | "So little had changed —" | | 1 | "Just vanished off the face" | | 2 | "Slowly, Eva reached out, her" |
| | ratio | 0.065 | |
| 54.78% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 46 | | matches | | 0 | "It took a moment for" | | 1 | "Her fingers picked at the" | | 2 | "She backed away, allowing Rory" | | 3 | "It was like stepping back" | | 4 | "I know I screwed everything" | | 5 | "I was stupid and afraid," | | 6 | "It's up to you." | | 7 | "I wasn't lying before." | | 8 | "I miss you desperately." | | 9 | "My heart feels like it's" | | 10 | "It tore me apart, and" | | 11 | "I don't think I can" | | 12 | "I swear to God, Evi," | | 13 | "I need you." | | 14 | "You are the only person" | | 15 | "I'm just a empty, broken" | | 16 | "I won't let you down" | | 17 | "I want to start over," | | 18 | "I know it won't be" |
| | ratio | 0.413 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 31 | | totalSentences | 46 | | matches | | 0 | "The front door creaked open," | | 1 | "Azure blue eyes scanned the" | | 2 | "It took a moment for" | | 3 | "Aurora lowered her gaze." | | 4 | "Her fingers picked at the" | | 5 | "Eva's shoulders stiffened." | | 6 | "She backed away, allowing Rory" | | 7 | "Ptolemy meowed from his perch" | | 8 | "Aurora took in the space," | | 9 | "It was like stepping back" | | 10 | "I know I screwed everything" | | 11 | "I was stupid and afraid," | | 12 | "Eva's emerald eyes shimmered with" | | 13 | "It's up to you." | | 14 | "I-I don't know what I" | | 15 | "I wasn't lying before." | | 16 | "I miss you desperately." | | 17 | "My heart feels like it's" | | 18 | "Eva found herself drawn into" | | 19 | "It tore me apart, and" |
| | ratio | 0.674 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 3 | | totalSentences | 46 | | matches | | 0 | "If you gave me the" | | 1 | "Because I want you." | | 2 | "If you'll have me, I" |
| | ratio | 0.065 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 91.18% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 17 | | tagDensity | 0.059 | | leniency | 0.118 | | rawRatio | 1 | | effectiveRatio | 0.118 | |