| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 70 | | tagDensity | 0.171 | | leniency | 0.343 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1853 | | 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) | |
| 62.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1853 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "throbbed" | | 1 | "pulse" | | 2 | "tracing" | | 3 | "flickered" | | 4 | "crystal" | | 5 | "silk" | | 6 | "weight" | | 7 | "racing" | | 8 | "lurch" | | 9 | "silence" | | 10 | "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 | 170 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 170 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 228 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1851 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 44.88% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 72 | | wordCount | 1427 | | uniqueNames | 12 | | maxNameDensity | 2.1 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Heartstone | 3 | | Isolde | 10 | | Aurora | 30 | | November | 1 | | Nyx | 15 | | Fae-forged | 1 | | Seer | 1 | | Fae | 2 | | Dymas | 1 | | One | 4 |
| | persons | | 0 | "Heartstone" | | 1 | "Isolde" | | 2 | "Aurora" | | 3 | "Nyx" | | 4 | "Seer" | | 5 | "Dymas" | | 6 | "One" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "November" |
| | globalScore | 0.449 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 116 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.54 | | wordCount | 1851 | | matches | | 0 | "not flowing downhill but climbing, gathering into the shape of a doorway" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 228 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 145 | | mean | 12.77 | | std | 12.36 | | cv | 0.968 | | sampleLengths | | 0 | 41 | | 1 | 9 | | 2 | 25 | | 3 | 26 | | 4 | 4 | | 5 | 14 | | 6 | 9 | | 7 | 32 | | 8 | 21 | | 9 | 27 | | 10 | 6 | | 11 | 2 | | 12 | 3 | | 13 | 3 | | 14 | 20 | | 15 | 38 | | 16 | 5 | | 17 | 6 | | 18 | 13 | | 19 | 14 | | 20 | 38 | | 21 | 21 | | 22 | 6 | | 23 | 9 | | 24 | 7 | | 25 | 5 | | 26 | 30 | | 27 | 24 | | 28 | 22 | | 29 | 5 | | 30 | 3 | | 31 | 40 | | 32 | 18 | | 33 | 8 | | 34 | 37 | | 35 | 12 | | 36 | 1 | | 37 | 22 | | 38 | 8 | | 39 | 6 | | 40 | 7 | | 41 | 14 | | 42 | 6 | | 43 | 10 | | 44 | 19 | | 45 | 1 | | 46 | 26 | | 47 | 3 | | 48 | 4 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 170 | | matches | | 0 | "being rubbed" | | 1 | "been made" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 229 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 228 | | ratio | 0.004 | | matches | | 0 | "Moonlight—though no moonlight reached that far—ran along its leaf-shaped edge." |
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| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1438 | | adjectiveStacks | 3 | | stackExamples | | 0 | "lay warm against her" | | 1 | "vast dusk-coloured ceiling," | | 2 | "tiny hand-shaped leaves" |
| | adverbCount | 29 | | adverbRatio | 0.020166898470097356 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.002086230876216968 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 228 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 228 | | mean | 8.12 | | std | 4.84 | | cv | 0.597 | | sampleLengths | | 0 | 22 | | 1 | 19 | | 2 | 9 | | 3 | 8 | | 4 | 5 | | 5 | 12 | | 6 | 18 | | 7 | 8 | | 8 | 4 | | 9 | 4 | | 10 | 10 | | 11 | 9 | | 12 | 13 | | 13 | 19 | | 14 | 12 | | 15 | 9 | | 16 | 6 | | 17 | 21 | | 18 | 6 | | 19 | 2 | | 20 | 3 | | 21 | 3 | | 22 | 5 | | 23 | 15 | | 24 | 12 | | 25 | 13 | | 26 | 13 | | 27 | 5 | | 28 | 6 | | 29 | 6 | | 30 | 7 | | 31 | 5 | | 32 | 9 | | 33 | 10 | | 34 | 28 | | 35 | 15 | | 36 | 6 | | 37 | 6 | | 38 | 9 | | 39 | 7 | | 40 | 5 | | 41 | 18 | | 42 | 12 | | 43 | 5 | | 44 | 11 | | 45 | 8 | | 46 | 7 | | 47 | 15 | | 48 | 5 | | 49 | 3 |
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| 52.34% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.33771929824561403 | | totalSentences | 228 | | uniqueOpeners | 77 | |
| 43.57% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 153 | | matches | | 0 | "Then came a rustle, too" | | 1 | "Then the view shifted." |
| | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 153 | | matches | | 0 | "They rose from the wet" | | 1 | "It throbbed through the fabric" | | 2 | "Their violet eyes opened halfway" | | 3 | "Her silver hair hung loose" | | 4 | "They wore no clothes, though" | | 5 | "Her fingers hovered over the" | | 6 | "Its moonsilver hilt bit cold" | | 7 | "She stepped through the stones." | | 8 | "They curled around the sole" | | 9 | "Their trunks grew pale and" | | 10 | "She glanced at them." | | 11 | "It had no proper sky." | | 12 | "Their outline sharpened, edges pulled" | | 13 | "It had grown hot enough" | | 14 | "Their bodies had been made" | | 15 | "They jutted from the earth" | | 16 | "Her grip felt cool and" | | 17 | "Their notes climbed into a" | | 18 | "They wrapped around the rising" | | 19 | "Her fingers sank into cold," |
| | ratio | 0.196 | |
| 38.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 129 | | totalSentences | 153 | | matches | | 0 | "The ancient oak stones had" | | 1 | "They rose from the wet" | | 2 | "Aurora stopped before the narrow" | | 3 | "The Heartstone pendant lay warm" | | 4 | "It throbbed through the fabric" | | 5 | "Nyx stretched across the grass" | | 6 | "Their violet eyes opened halfway" | | 7 | "Aurora folded her arms." | | 8 | "Her silver hair hung loose" | | 9 | "Aurora looked at the gap" | | 10 | "Nothing waited beyond it except" | | 11 | "The pendant gave another pulse." | | 12 | "The crimson stone brightened beneath" | | 13 | "Nyx slid down the stone" | | 14 | "They wore no clothes, though" | | 15 | "Rain passed through their shoulders" | | 16 | "Isolde lifted one pale hand." | | 17 | "Her fingers hovered over the" | | 18 | "Aurora touched the small crescent" | | 19 | "Isolde’s lavender eyes settled on" |
| | ratio | 0.843 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 153 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 3 | | matches | | 0 | "Her silver hair hung loose over a dark green gown, untouched by the rain that pearled on Aurora’s coat." | | 1 | "The path wound between trees that bore no resemblance to oak, yew, or anything Aurora had seen in a park." | | 2 | "Above the valley hung a vast dusk-coloured ceiling, violet near the horizon and black at its height, strewn with lights that moved like fish under ice." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 12 | | fancyCount | 5 | | fancyTags | | 0 | "Isolde murmured (murmur)" | | 1 | "Nyx whispered (whisper)" | | 2 | "Aurora snapped (snap)" | | 3 | "Nyx breathed (breathe)" | | 4 | "he whispered (whisper)" |
| | dialogueSentences | 70 | | tagDensity | 0.171 | | leniency | 0.343 | | rawRatio | 0.417 | | effectiveRatio | 0.143 | |