| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 70.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1355 | | totalAiIsmAdverbs | 8 | | found | | | highlights | | 0 | "sharply" | | 1 | "slightly" | | 2 | "quickly" | | 3 | "completely" | | 4 | "gently" | | 5 | "tightly" |
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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) | |
| 29.89% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1355 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "flickered" | | 1 | "traced" | | 2 | "velvet" | | 3 | "weight" | | 4 | "scanned" | | 5 | "dancing" | | 6 | "stark" | | 7 | "chill" | | 8 | "perfect" | | 9 | "firmly" | | 10 | "pulse" | | 11 | "grave" | | 12 | "tracing" | | 13 | "silence" | | 14 | "intensity" | | 15 | "echoing" | | 16 | "oppressive" | | 17 | "rhythmic" |
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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 | 42 | | matches | (empty) | |
| 40.82% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 42 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 75 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1354 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 717 | | uniqueNames | 4 | | maxNameDensity | 0.7 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | 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 | 1354 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 27.08 | | std | 15.12 | | cv | 0.558 | | sampleLengths | | 0 | 68 | | 1 | 16 | | 2 | 42 | | 3 | 24 | | 4 | 55 | | 5 | 39 | | 6 | 13 | | 7 | 15 | | 8 | 49 | | 9 | 36 | | 10 | 26 | | 11 | 12 | | 12 | 44 | | 13 | 25 | | 14 | 22 | | 15 | 15 | | 16 | 28 | | 17 | 8 | | 18 | 29 | | 19 | 26 | | 20 | 19 | | 21 | 45 | | 22 | 16 | | 23 | 30 | | 24 | 30 | | 25 | 13 | | 26 | 9 | | 27 | 13 | | 28 | 45 | | 29 | 2 | | 30 | 10 | | 31 | 1 | | 32 | 42 | | 33 | 32 | | 34 | 25 | | 35 | 36 | | 36 | 22 | | 37 | 24 | | 38 | 25 | | 39 | 11 | | 40 | 34 | | 41 | 36 | | 42 | 34 | | 43 | 15 | | 44 | 25 | | 45 | 19 | | 46 | 18 | | 47 | 46 | | 48 | 16 | | 49 | 69 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 42 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 113 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 75 | | ratio | 0.013 | | matches | | 0 | "She pulled at the sleeves of her sweater, her fingers brushing the crescent scar on her left wrist—a nervous habit she couldn't break whenever the room grew too small." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 722 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 14 | | adverbRatio | 0.019390581717451522 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0110803324099723 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 75 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 75 | | mean | 18.05 | | std | 7.9 | | cv | 0.437 | | sampleLengths | | 0 | 13 | | 1 | 31 | | 2 | 24 | | 3 | 16 | | 4 | 25 | | 5 | 17 | | 6 | 24 | | 7 | 15 | | 8 | 15 | | 9 | 25 | | 10 | 21 | | 11 | 18 | | 12 | 13 | | 13 | 15 | | 14 | 13 | | 15 | 29 | | 16 | 7 | | 17 | 36 | | 18 | 26 | | 19 | 12 | | 20 | 18 | | 21 | 6 | | 22 | 20 | | 23 | 3 | | 24 | 22 | | 25 | 22 | | 26 | 15 | | 27 | 12 | | 28 | 16 | | 29 | 8 | | 30 | 29 | | 31 | 26 | | 32 | 19 | | 33 | 22 | | 34 | 23 | | 35 | 16 | | 36 | 30 | | 37 | 15 | | 38 | 15 | | 39 | 13 | | 40 | 9 | | 41 | 13 | | 42 | 11 | | 43 | 12 | | 44 | 22 | | 45 | 2 | | 46 | 10 | | 47 | 1 | | 48 | 4 | | 49 | 19 |
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| 51.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.38666666666666666 | | totalSentences | 75 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 42 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 42 | | matches | | 0 | "He adjusted his grip on" | | 1 | "He scanned the stacks of" | | 2 | "She dropped her helmet onto" | | 3 | "She pulled at the sleeves" | | 4 | "He stepped closer, closing the" | | 5 | "He reached out, his hand" | | 6 | "She set her jaw, leaning" | | 7 | "He moved to the small" | | 8 | "He flipped through it with" | | 9 | "He stepped toward her, invading" | | 10 | "He leaned down, his face" | | 11 | "She pushed off the counter," | | 12 | "Her heart hammered against her" | | 13 | "He laughed, a dry, humorless" | | 14 | "He reached out and caught" | | 15 | "His thumb brushed over the" | | 16 | "He didn't let go." | | 17 | "He pulled her a half-step" | | 18 | "She felt a cold sweat" | | 19 | "He leaned in further, his" |
| | ratio | 0.595 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 42 | | totalSentences | 42 | | matches | | 0 | "The door groaned against its" | | 1 | "Rory stood behind the threshold," | | 2 | "The light from the stairwell" | | 3 | "Lucien traced the wood grain" | | 4 | "He adjusted his grip on" | | 5 | "Rory pivoted, leaving the door" | | 6 | "Piles of research notes teetered" | | 7 | "Ptolemy, the tabby cat, uncurled" | | 8 | "Lucien stepped inside, his presence" | | 9 | "He scanned the stacks of" | | 10 | "She dropped her helmet onto" | | 11 | "She pulled at the sleeves" | | 12 | "Lucien watched the movement, his" | | 13 | "He stepped closer, closing the" | | 14 | "The temperature in the room" | | 15 | "He reached out, his hand" | | 16 | "Rory didn't flinch." | | 17 | "She set her jaw, leaning" | | 18 | "He moved to the small" | | 19 | "He flipped through it with" |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 42 | | matches | (empty) | | ratio | 0 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 3 | | matches | | 0 | "He reached out, his hand hovering near her waist before he pulled it back, grounding himself with the cane instead." | | 1 | "He laughed, a dry, humorless sound that lacked his usual vanity." | | 2 | "He stopped at the threshold, looking back at her over his shoulder, his eyes catching the moonlight filtering through the window." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |