| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 68.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 625 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "suddenly" | | 1 | "quickly" | | 2 | "slowly" | | 3 | "slightly" |
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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) | |
| 28.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 625 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "silence" | | 1 | "fractured" | | 2 | "looming" | | 3 | "chill" | | 4 | "loomed" | | 5 | "vibrated" | | 6 | "rhythmic" | | 7 | "pulsed" | | 8 | "echoing" |
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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 | 51 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 51 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 51 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 625 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 11 | | wordCount | 623 | | uniqueNames | 7 | | maxNameDensity | 0.48 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Fae | 1 | | Grove | 1 | | Heartstone | 2 | | Pendant | 2 | | Aurora | 3 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | 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 | 625 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 51 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 24.04 | | std | 12.5 | | cv | 0.52 | | sampleLengths | | 0 | 46 | | 1 | 26 | | 2 | 15 | | 3 | 40 | | 4 | 15 | | 5 | 5 | | 6 | 29 | | 7 | 40 | | 8 | 6 | | 9 | 32 | | 10 | 42 | | 11 | 20 | | 12 | 8 | | 13 | 43 | | 14 | 37 | | 15 | 16 | | 16 | 16 | | 17 | 11 | | 18 | 20 | | 19 | 26 | | 20 | 27 | | 21 | 10 | | 22 | 32 | | 23 | 14 | | 24 | 12 | | 25 | 37 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 51 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 90 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 51 | | ratio | 0 | | matches | (empty) | |
| 92.72% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 627 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 26 | | adverbRatio | 0.04146730462519936 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.017543859649122806 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 51 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 51 | | mean | 12.25 | | std | 5.85 | | cv | 0.477 | | sampleLengths | | 0 | 9 | | 1 | 14 | | 2 | 4 | | 3 | 19 | | 4 | 4 | | 5 | 22 | | 6 | 15 | | 7 | 6 | | 8 | 11 | | 9 | 9 | | 10 | 14 | | 11 | 15 | | 12 | 5 | | 13 | 2 | | 14 | 14 | | 15 | 3 | | 16 | 10 | | 17 | 15 | | 18 | 25 | | 19 | 6 | | 20 | 11 | | 21 | 21 | | 22 | 13 | | 23 | 11 | | 24 | 5 | | 25 | 13 | | 26 | 10 | | 27 | 3 | | 28 | 7 | | 29 | 8 | | 30 | 12 | | 31 | 13 | | 32 | 18 | | 33 | 17 | | 34 | 20 | | 35 | 16 | | 36 | 16 | | 37 | 11 | | 38 | 20 | | 39 | 6 | | 40 | 7 | | 41 | 13 | | 42 | 10 | | 43 | 17 | | 44 | 10 | | 45 | 13 | | 46 | 19 | | 47 | 14 | | 48 | 12 | | 49 | 8 |
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| 47.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.3333333333333333 | | totalSentences | 51 | | uniqueOpeners | 17 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 60.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 50 | | matches | | 0 | "She unclipped her helmet." | | 1 | "Her breath plumed white against" | | 2 | "She turned toward the tree" | | 3 | "Her boots crunched on the" | | 4 | "Her shoulder-length black hair whipped" | | 5 | "She spun around." | | 6 | "She rubbed her left wrist," | | 7 | "She took three deliberate steps" | | 8 | "They stretched impossibly long, slithering" | | 9 | "She turned her head quickly." | | 10 | "She pushed past the perimeter" | | 11 | "It wore the silhouette of" | | 12 | "Her voice lacked volume, swallowed" | | 13 | "Her heel caught on an" | | 14 | "She stumbled, catching herself against" | | 15 | "Its face remained featureless, a" | | 16 | "She scrambled backward through the" | | 17 | "She pulled herself up, her" | | 18 | "She did not look back" | | 19 | "She jammed the key into" |
| | ratio | 0.4 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 50 | | matches | | 0 | "The moped engine cut with" | | 1 | "Silence rushed back to fill" | | 2 | "Aurora killed the headlight." | | 3 | "Darkness swallowed the damp asphalt," | | 4 | "She unclipped her helmet." | | 5 | "Her breath plumed white against" | | 6 | "The brass key for the" | | 7 | "She turned toward the tree" | | 8 | "The ancient oaks loomed like" | | 9 | "Year-round wildflowers blurred into bruised" | | 10 | "The boundary stones waited inside," | | 11 | "Her boots crunched on the" | | 12 | "A twig snapped behind her." | | 13 | "Her shoulder-length black hair whipped" | | 14 | "She spun around." | | 15 | "Nothing occupied the path except" | | 16 | "She rubbed her left wrist," | | 17 | "The silver chain of the" | | 18 | "She took three deliberate steps" | | 19 | "The air grew dense, tasting" |
| | ratio | 0.98 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 81.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 3 | | matches | | 0 | "A low hum vibrated through the soil, rising from beneath the roots of the trees, a frequency that rattled her teeth." | | 1 | "The hum stopped, replaced by a wet, heavy breathing that did not belong to any animal she knew." | | 2 | "The breathing grew louder, wet and rattling, echoing from multiple directions at once as if the clearing itself possessed lungs." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |