| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 18 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 494 | | 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) | |
| 19.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 494 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "whisper" | | 1 | "chill" | | 2 | "pulsed" | | 3 | "shimmered" | | 4 | "traced" | | 5 | "gleaming" | | 6 | "trembled" |
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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) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 42 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 52 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 9 | | totalWords | 488 | | ratio | 0.018 | | matches | | 0 | "Heartstone" | | 1 | "Fae-Forged Blade" | | 2 | "breathed" | | 3 | "Grove of Whispers" | | 4 | "tear" | | 5 | "Heartstone" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 35.20% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 392 | | uniqueNames | 6 | | maxNameDensity | 2.3 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Aurora | 9 | | Isolde | 3 | | Nyx | 4 | | Veil | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Isolde" | | 2 | "Nyx" | | 3 | "Veil" |
| | places | | | globalScore | 0.352 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 30 | | 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 | 488 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 52 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 17 | | mean | 28.71 | | std | 17.58 | | cv | 0.612 | | sampleLengths | | 0 | 52 | | 1 | 58 | | 2 | 14 | | 3 | 54 | | 4 | 51 | | 5 | 9 | | 6 | 39 | | 7 | 30 | | 8 | 36 | | 9 | 9 | | 10 | 8 | | 11 | 35 | | 12 | 7 | | 13 | 17 | | 14 | 30 | | 15 | 7 | | 16 | 32 |
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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 | 66 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 52 | | ratio | 0.115 | | matches | | 0 | "The air smelled of damp earth and something older—something that clung to the walls like a whisper." | | 1 | "The shadows here weren’t just dark—they *breathed*, shifting between solid and translucent, pooling around the edges of the grove’s boundary." | | 2 | "The ground beneath her feet was uneven—roots twisted into knots, vines coiled like serpents." | | 3 | "She lifted it—small, blackened, and jagged." | | 4 | "A figure stepped from the shadows—a tall, gaunt man with hollow cheeks and eyes like polished obsidian." | | 5 | "A chorus of voices erupted from the trees—laughter, screams, the distant clatter of metal." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 398 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.02763819095477387 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.005025125628140704 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 52 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 52 | | mean | 9.38 | | std | 5.37 | | cv | 0.572 | | sampleLengths | | 0 | 17 | | 1 | 16 | | 2 | 19 | | 3 | 14 | | 4 | 20 | | 5 | 3 | | 6 | 5 | | 7 | 4 | | 8 | 12 | | 9 | 8 | | 10 | 6 | | 11 | 19 | | 12 | 9 | | 13 | 17 | | 14 | 9 | | 15 | 16 | | 16 | 9 | | 17 | 14 | | 18 | 7 | | 19 | 5 | | 20 | 9 | | 21 | 8 | | 22 | 12 | | 23 | 6 | | 24 | 4 | | 25 | 9 | | 26 | 9 | | 27 | 15 | | 28 | 6 | | 29 | 17 | | 30 | 11 | | 31 | 5 | | 32 | 3 | | 33 | 6 | | 34 | 3 | | 35 | 6 | | 36 | 2 | | 37 | 10 | | 38 | 19 | | 39 | 6 | | 40 | 3 | | 41 | 4 | | 42 | 4 | | 43 | 13 | | 44 | 14 | | 45 | 12 | | 46 | 4 | | 47 | 6 | | 48 | 1 | | 49 | 3 |
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| 69.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.4423076923076923 | | totalSentences | 52 | | uniqueOpeners | 23 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 40 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 40 | | matches | | 0 | "It was something else." | | 1 | "she said, her voice like" | | 2 | "She crouched, brushing dirt from" | | 3 | "She lifted it—small, blackened, and" | | 4 | "She turned, her pale eyes" | | 5 | "He wore a tattered cloak," | | 6 | "His gaze locked onto the" | | 7 | "She lunged for Nyx, her" |
| | ratio | 0.2 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 39 | | totalSentences | 40 | | matches | | 0 | "The air smelled of damp" | | 1 | "Aurora stepped forward, the **Heartstone**" | | 2 | "The **Fae-Forged Blade** in her" | | 3 | "Nyx moved like smoke, their" | | 4 | "The shadows here weren’t just" | | 5 | "Aurora’s breath caught." | | 6 | "This wasn’t just Richmond Park." | | 7 | "It was something else." | | 8 | "Something that pulsed beneath the" | | 9 | "Aurora asked, her voice low" | | 10 | "The words hung between them," | | 11 | "Isolde stood at the center" | | 12 | "The air around her shimmered," | | 13 | "she said, her voice like" | | 14 | "A gust of wind howled" | | 15 | "Aurora’s fingers tightened around the" | | 16 | "The ground beneath her feet" | | 17 | "She crouched, brushing dirt from" | | 18 | "Nyx asked, their voice a" | | 19 | "Aurora knelt, pressing her palm" |
| | ratio | 0.975 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 40 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 17 | | technicalSentenceCount | 1 | | matches | | 0 | "The air smelled of damp earth and something older—something that clung to the walls like a whisper." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 4 | | matches | | 0 | "Aurora asked, her voice low" | | 1 | "Nyx asked, their voice a whisper" | | 2 | "She turned, her pale eyes gleaming" | | 3 | "Nyx said, their voice sharp" |
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| 94.44% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 18 | | tagDensity | 0.278 | | leniency | 0.556 | | rawRatio | 0.2 | | effectiveRatio | 0.111 | |