| 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 | 1727 | | 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) | |
| 71.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1727 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "pulsed" | | 1 | "pulse" | | 2 | "wavering" | | 3 | "warmth" | | 4 | "stomach" | | 5 | "shimmered" | | 6 | "trembled" | | 7 | "footfall" |
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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 | 169 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 169 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 195 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1727 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 71.19% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 68 | | wordCount | 1586 | | uniqueNames | 13 | | maxNameDensity | 1.58 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Richmond | 2 | | Park | 2 | | Carter | 2 | | Veil | 1 | | Heartstone | 3 | | Fae-forged | 1 | | Rory | 25 | | Dymas | 1 | | Fae | 4 | | Nyx | 11 | | Isolde | 10 | | One | 3 | | Three | 3 |
| | persons | | 0 | "Carter" | | 1 | "Rory" | | 2 | "Nyx" | | 3 | "Isolde" | | 4 | "One" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Dymas" | | 3 | "Three" |
| | globalScore | 0.712 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 124 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 84.19% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.158 | | wordCount | 1727 | | matches | | 0 | "not a simple emptiness but a demand" | | 1 | "not water but wine, deep" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 195 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 89 | | mean | 19.4 | | std | 18.34 | | cv | 0.945 | | sampleLengths | | 0 | 66 | | 1 | 8 | | 2 | 4 | | 3 | 31 | | 4 | 4 | | 5 | 37 | | 6 | 9 | | 7 | 35 | | 8 | 7 | | 9 | 13 | | 10 | 6 | | 11 | 39 | | 12 | 8 | | 13 | 56 | | 14 | 10 | | 15 | 30 | | 16 | 19 | | 17 | 22 | | 18 | 6 | | 19 | 10 | | 20 | 5 | | 21 | 5 | | 22 | 10 | | 23 | 36 | | 24 | 61 | | 25 | 44 | | 26 | 6 | | 27 | 43 | | 28 | 3 | | 29 | 6 | | 30 | 6 | | 31 | 10 | | 32 | 6 | | 33 | 18 | | 34 | 64 | | 35 | 27 | | 36 | 16 | | 37 | 9 | | 38 | 15 | | 39 | 7 | | 40 | 32 | | 41 | 4 | | 42 | 4 | | 43 | 3 | | 44 | 65 | | 45 | 25 | | 46 | 33 | | 47 | 4 | | 48 | 7 | | 49 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 169 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 261 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 195 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1590 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 34 | | adverbRatio | 0.021383647798742137 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 195 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 195 | | mean | 8.86 | | std | 5.57 | | cv | 0.628 | | sampleLengths | | 0 | 19 | | 1 | 13 | | 2 | 13 | | 3 | 10 | | 4 | 11 | | 5 | 8 | | 6 | 4 | | 7 | 8 | | 8 | 17 | | 9 | 6 | | 10 | 4 | | 11 | 17 | | 12 | 10 | | 13 | 10 | | 14 | 9 | | 15 | 5 | | 16 | 12 | | 17 | 10 | | 18 | 8 | | 19 | 7 | | 20 | 5 | | 21 | 8 | | 22 | 6 | | 23 | 8 | | 24 | 9 | | 25 | 5 | | 26 | 17 | | 27 | 8 | | 28 | 10 | | 29 | 15 | | 30 | 25 | | 31 | 6 | | 32 | 4 | | 33 | 6 | | 34 | 7 | | 35 | 15 | | 36 | 8 | | 37 | 3 | | 38 | 16 | | 39 | 2 | | 40 | 20 | | 41 | 6 | | 42 | 5 | | 43 | 5 | | 44 | 5 | | 45 | 5 | | 46 | 10 | | 47 | 4 | | 48 | 13 | | 49 | 14 |
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| 46.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 15 | | diversityRatio | 0.3230769230769231 | | totalSentences | 195 | | uniqueOpeners | 63 | |
| 60.98% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 164 | | matches | | 0 | "Further down, the vineyard gave" | | 1 | "Instead, the surface showed a" | | 2 | "Instead, a table of black" |
| | ratio | 0.018 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 164 | | matches | | 0 | "Their silhouette sharpened until the" | | 1 | "Her silver hair lay over" | | 2 | "It held a pale line" | | 3 | "Their voice came from the" | | 4 | "She stepped over the boundary" | | 5 | "She lifted the dagger." | | 6 | "She put the device away." | | 7 | "It glowed pale underfoot and" | | 8 | "Its bark was translucent, and" | | 9 | "They grasped, vanished, and returned." | | 10 | "Her stomach clenched." | | 11 | "She had not eaten since" | | 12 | "She pressed the flat of" | | 13 | "Their reflection did not appear" | | 14 | "Her fingers tightened on the" | | 15 | "She raised the dagger." | | 16 | "They ran beneath vaults, through" | | 17 | "Their flames bent toward each" | | 18 | "Their eyes held the flat" | | 19 | "He was human, or had" |
| | ratio | 0.152 | |
| 57.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 132 | | totalSentences | 164 | | matches | | 0 | "Frost rimed the ancient oak" | | 1 | "Aurora Carter stopped where the" | | 2 | "The winter solstice had worn" | | 3 | "The Heartstone pendant beneath her" | | 4 | "Rory cupped the crimson gem" | | 5 | "Nyx stood at the edge" | | 6 | "Their silhouette sharpened until the" | | 7 | "Violet light gathered in their" | | 8 | "Isolde passed between them and" | | 9 | "Her silver hair lay over" | | 10 | "Rory drew the Fae-forged blade." | | 11 | "The leaf-shaped moonsilver took no" | | 12 | "It held a pale line" | | 13 | "Nyx's mouth did not move." | | 14 | "Their voice came from the" | | 15 | "The pendant pulsed again, warm" | | 16 | "She stepped over the boundary" | | 17 | "The air split without sound." | | 18 | "Rory crossed into Dymas for" | | 19 | "The sky hung low and" |
| | ratio | 0.805 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 164 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 1 | | matches | | 0 | "Every surface bore dishes: towers of glazed birds with feathers made of gold leaf, wheels of cheese sweating amber drops, bowls of fruit that opened and closed …" |
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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 | |