| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 29 | | adverbTagCount | 2 | | adverbTags | | 0 | "She stepped back [back]" | | 1 | "Its voice grated like [like]" |
| | dialogueSentences | 57 | | tagDensity | 0.509 | | leniency | 1 | | rawRatio | 0.069 | | effectiveRatio | 0.069 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 928 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 56.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 928 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "reverberated" | | 1 | "raced" | | 2 | "pulse" | | 3 | "familiar" | | 4 | "silence" | | 5 | "weight" | | 6 | "dance" | | 7 | "flicked" |
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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 | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 928 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 8 | | wordCount | 581 | | uniqueNames | 6 | | maxNameDensity | 0.52 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 3 | | Debate | 1 | | Ice | 1 | | Despite | 1 | | Ptolemy | 1 | | Rory | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Debate" | | 2 | "Ice" | | 3 | "Ptolemy" | | 4 | "Rory" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 92.24% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.078 | | wordCount | 928 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 85.61% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 18.56 | | std | 8.35 | | cv | 0.45 | | sampleLengths | | 0 | 27 | | 1 | 18 | | 2 | 14 | | 3 | 30 | | 4 | 21 | | 5 | 9 | | 6 | 18 | | 7 | 16 | | 8 | 24 | | 9 | 15 | | 10 | 19 | | 11 | 34 | | 12 | 9 | | 13 | 5 | | 14 | 10 | | 15 | 26 | | 16 | 15 | | 17 | 35 | | 18 | 10 | | 19 | 32 | | 20 | 15 | | 21 | 21 | | 22 | 16 | | 23 | 8 | | 24 | 10 | | 25 | 39 | | 26 | 17 | | 27 | 7 | | 28 | 23 | | 29 | 15 | | 30 | 27 | | 31 | 29 | | 32 | 14 | | 33 | 11 | | 34 | 15 | | 35 | 26 | | 36 | 33 | | 37 | 30 | | 38 | 21 | | 39 | 13 | | 40 | 21 | | 41 | 15 | | 42 | 17 | | 43 | 14 | | 44 | 7 | | 45 | 23 | | 46 | 17 | | 47 | 21 | | 48 | 10 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 105 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 93 | | ratio | 0.011 | | matches | | 0 | "He watched the battle play out across her face — the need to know, the fear of what knowing might cost." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 581 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.022375215146299483 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 9.98 | | std | 5.18 | | cv | 0.519 | | sampleLengths | | 0 | 10 | | 1 | 10 | | 2 | 7 | | 3 | 6 | | 4 | 12 | | 5 | 7 | | 6 | 7 | | 7 | 23 | | 8 | 7 | | 9 | 21 | | 10 | 6 | | 11 | 3 | | 12 | 5 | | 13 | 6 | | 14 | 7 | | 15 | 11 | | 16 | 5 | | 17 | 20 | | 18 | 4 | | 19 | 12 | | 20 | 3 | | 21 | 6 | | 22 | 13 | | 23 | 15 | | 24 | 19 | | 25 | 3 | | 26 | 6 | | 27 | 5 | | 28 | 6 | | 29 | 4 | | 30 | 7 | | 31 | 19 | | 32 | 10 | | 33 | 5 | | 34 | 16 | | 35 | 19 | | 36 | 10 | | 37 | 15 | | 38 | 17 | | 39 | 8 | | 40 | 2 | | 41 | 5 | | 42 | 7 | | 43 | 14 | | 44 | 16 | | 45 | 8 | | 46 | 10 | | 47 | 12 | | 48 | 6 | | 49 | 21 |
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| 82.80% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.5161290322580645 | | totalSentences | 93 | | uniqueOpeners | 48 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 20.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 66 | | matches | | 0 | "She crossed the room in" | | 1 | "Her grip tightened on the" | | 2 | "She started to shut the" | | 3 | "He stepped inside, his gaze" | | 4 | "She folded her arms, but" | | 5 | "He stepped closer, pitching his" | | 6 | "Her sharp laugh sliced the" | | 7 | "He reached for her, thought" | | 8 | "Her face shuttered." | | 9 | "He nodded to the books" | | 10 | "She shook her head, but" | | 11 | "He stepped closer, close enough" | | 12 | "His fingers itched to trace" | | 13 | "Her eyes searched his, looking" | | 14 | "He wondered what she saw." | | 15 | "She stepped back, breaking the" | | 16 | "His lips quirked before he" | | 17 | "They were the last honest" | | 18 | "He watched the battle play" | | 19 | "She broke the standoff, her" |
| | ratio | 0.5 | |
| 13.03% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 66 | | matches | | 0 | "The knock at the door" | | 1 | "Aurora froze, hand hovering over" | | 2 | "The knock came again, more" | | 3 | "She crossed the room in" | | 4 | "Her grip tightened on the" | | 5 | "Lucien's smirk didn't reach his" | | 6 | "She started to shut the" | | 7 | "The smirk fell" | | 8 | "Debate raced across her face." | | 9 | "He stepped inside, his gaze" | | 10 | "She folded her arms, but" | | 11 | "He stepped closer, pitching his" | | 12 | "Her sharp laugh sliced the" | | 13 | "He reached for her, thought" | | 14 | "Her face shuttered." | | 15 | "The color drained from her" | | 16 | "He nodded to the books" | | 17 | "She shook her head, but" | | 18 | "He stepped closer, close enough" | | 19 | "His fingers itched to trace" |
| | ratio | 0.894 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 66 | | matches | (empty) | | ratio | 0 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 3 | | matches | | 0 | "Here, the spot behind her ear that made her gasp." | | 1 | "Release came in a rush, a white-hot flare that left them gasping, foreheads pressed together, sweat slicked skin humming with aftershocks." | | 2 | "Ptolemy's yowl cut through the flat, a siren's call that made them both freeze." |
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| 56.03% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 29 | | uselessAdditionCount | 4 | | matches | | 0 | "She started, but his cane blocked it" | | 1 | "He stepped, his gaze sweeping the cluttered space" | | 2 | "She broke, her voice husky" | | 3 | "His lips brushed, her cheek, the corner of her mouth" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "The words hissed (hiss)" | | 1 | "He breathed (breathe)" |
| | dialogueSentences | 57 | | tagDensity | 0.035 | | leniency | 0.07 | | rawRatio | 1 | | effectiveRatio | 0.07 | |