| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 227 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 227 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "loomed" | | 1 | "stark" | | 2 | "echoed" | | 3 | "reminder" | | 4 | "pulsed" | | 5 | "warmth" |
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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 | 25 | | matches | (empty) | |
| 85.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 25 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 25 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 221 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 9 | | wordCount | 221 | | uniqueNames | 7 | | maxNameDensity | 0.9 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Fae | 1 | | Grove | 1 | | Aurora | 2 | | Heartstone | 2 | | Golden | 1 | | Empress | 1 | | Eva | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Empress" | | 2 | "Eva" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Heartstone" | | 3 | "Golden" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 13 | | 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 | 221 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 25 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 9 | | mean | 24.56 | | std | 17.59 | | cv | 0.717 | | sampleLengths | | |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 25 | | matches | (empty) | |
| 29.06% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 39 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 25 | | ratio | 0.12 | | matches | | 0 | "Whispers skittered just beyond hearing—soft rustlings that weren't wind, breath-like sounds that couldn't be explained by any natural source." | | 1 | "Her small crescent-shaped scar tingled on her left wrist—a childhood reminder that often preceded something strange." | | 2 | "Not just watching—studying her." |
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| 86.60% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 227 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 11 | | adverbRatio | 0.048458149779735685 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.013215859030837005 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 25 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 25 | | mean | 8.84 | | std | 6.49 | | cv | 0.734 | | sampleLengths | | 0 | 13 | | 1 | 16 | | 2 | 17 | | 3 | 3 | | 4 | 2 | | 5 | 9 | | 6 | 19 | | 7 | 22 | | 8 | 3 | | 9 | 17 | | 10 | 16 | | 11 | 5 | | 12 | 16 | | 13 | 11 | | 14 | 3 | | 15 | 4 | | 16 | 5 | | 17 | 6 | | 18 | 3 | | 19 | 2 | | 20 | 1 | | 21 | 1 | | 22 | 12 | | 23 | 12 | | 24 | 3 |
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| 100.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.64 | | totalSentences | 25 | | uniqueOpeners | 16 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 21 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 5 | | totalSentences | 21 | | matches | | 0 | "She clutched the Heartstone pendant" | | 1 | "Her delivery shift at Golden" | | 2 | "Her small crescent-shaped scar tingled" | | 3 | "Her bright blue eyes darted" | | 4 | "She didn't turn." |
| | ratio | 0.238 | |
| 79.05% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 16 | | totalSentences | 21 | | matches | | 0 | "The Fae Grove loomed before" | | 1 | "She clutched the Heartstone pendant" | | 2 | "Something felt wrong." | | 3 | "The park should have been" | | 4 | "Whispers skittered just beyond hearing—soft" | | 5 | "Her delivery shift at Golden" | | 6 | "Aurora stepped forward." | | 7 | "The ground seemed to shift" | | 8 | "Her small crescent-shaped scar tingled" | | 9 | "The standing stones grew closer." | | 10 | "Each step took longer, as" | | 11 | "Her bright blue eyes darted" | | 12 | "Something was watching." | | 13 | "A branch snapped behind her." | | 14 | "She didn't turn." | | 15 | "The pendant pulsed with a" |
| | ratio | 0.762 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 21 | | matches | (empty) | | ratio | 0 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 12 | | technicalSentenceCount | 2 | | matches | | 0 | "Whispers skittered just beyond hearing—soft rustlings that weren't wind, breath-like sounds that couldn't be explained by any natural source." | | 1 | "Each step took longer, as if the space between them stretched and contracted like breathing muscle." |
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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 | |