| 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 | 1079 | | 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 | 1079 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "pulse" | | 1 | "traced" | | 2 | "oppressive" | | 3 | "flickered" | | 4 | "crystalline" | | 5 | "weight" | | 6 | "velvet" | | 7 | "rhythmic" | | 8 | "throb" | | 9 | "stomach" | | 10 | "vibrated" | | 11 | "warmth" | | 12 | "structure" | | 13 | "marble" | | 14 | "porcelain" | | 15 | "mechanical" | | 16 | "synchronized" | | 17 | "glistening" | | 18 | "crystal" | | 19 | "echoed" | | 20 | "whisper" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 70 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 70 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 87 | | 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 | 1079 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.92% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 960 | | uniqueNames | 8 | | maxNameDensity | 1.04 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 3 | | Pendant | 3 | | Nyx | 5 | | Fae-Forged | 2 | | Blade | 2 | | Shade | 1 | | Aurora | 10 | | Isolde | 6 |
| | persons | | 0 | "Pendant" | | 1 | "Nyx" | | 2 | "Blade" | | 3 | "Shade" | | 4 | "Aurora" | | 5 | "Isolde" |
| | places | (empty) | | globalScore | 0.979 | | windowScore | 1 | |
| 73.08% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 65 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like packed sugar" | | 1 | "appeared beside her, a sudden void in the amber light" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.927 | | wordCount | 1079 | | matches | | 0 | "not with a weapon, but with a desperate, starving grip, his fingers clawing for Iso" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 87 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 25.09 | | std | 20.81 | | cv | 0.829 | | sampleLengths | | 0 | 67 | | 1 | 4 | | 2 | 62 | | 3 | 8 | | 4 | 23 | | 5 | 29 | | 6 | 3 | | 7 | 41 | | 8 | 9 | | 9 | 55 | | 10 | 51 | | 11 | 10 | | 12 | 34 | | 13 | 2 | | 14 | 12 | | 15 | 60 | | 16 | 1 | | 17 | 15 | | 18 | 14 | | 19 | 33 | | 20 | 81 | | 21 | 7 | | 22 | 31 | | 23 | 2 | | 24 | 31 | | 25 | 4 | | 26 | 20 | | 27 | 10 | | 28 | 50 | | 29 | 40 | | 30 | 40 | | 31 | 4 | | 32 | 12 | | 33 | 13 | | 34 | 42 | | 35 | 10 | | 36 | 35 | | 37 | 8 | | 38 | 48 | | 39 | 35 | | 40 | 4 | | 41 | 14 | | 42 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 146 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 87 | | ratio | 0.011 | | matches | | 0 | "She didn't plunge the metal into the creature; she swept the flat of the blade across the servant's chest." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 965 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 9 | | adverbRatio | 0.00932642487046632 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002072538860103627 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 87 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 87 | | mean | 12.4 | | std | 5.97 | | cv | 0.482 | | sampleLengths | | 0 | 17 | | 1 | 14 | | 2 | 19 | | 3 | 17 | | 4 | 4 | | 5 | 17 | | 6 | 24 | | 7 | 21 | | 8 | 8 | | 9 | 11 | | 10 | 12 | | 11 | 8 | | 12 | 21 | | 13 | 3 | | 14 | 9 | | 15 | 13 | | 16 | 19 | | 17 | 9 | | 18 | 9 | | 19 | 20 | | 20 | 10 | | 21 | 16 | | 22 | 6 | | 23 | 8 | | 24 | 19 | | 25 | 18 | | 26 | 10 | | 27 | 12 | | 28 | 22 | | 29 | 2 | | 30 | 12 | | 31 | 6 | | 32 | 15 | | 33 | 11 | | 34 | 10 | | 35 | 18 | | 36 | 1 | | 37 | 11 | | 38 | 4 | | 39 | 14 | | 40 | 10 | | 41 | 6 | | 42 | 17 | | 43 | 13 | | 44 | 28 | | 45 | 16 | | 46 | 24 | | 47 | 4 | | 48 | 3 | | 49 | 11 |
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| 60.92% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.3793103448275862 | | totalSentences | 87 | | uniqueOpeners | 33 | |
| 47.62% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 70 | | matches | | | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 70 | | matches | | 0 | "Their form flickered, expanding and" | | 1 | "She stepped forward, her boots" | | 2 | "They moved deeper into the" | | 3 | "She didn't look at Aurora," | | 4 | "Her stomach twisted into a" | | 5 | "She glanced at the oversized" | | 6 | "They looked succulent, their skins" | | 7 | "She felt a pull, an" | | 8 | "Their violet eyes narrowed." | | 9 | "She focused on the Heartstone" | | 10 | "It vibrated against her chest," | | 11 | "Their eyes were vacant, milky" | | 12 | "They carried silver trays of" | | 13 | "She watched a servant lean" | | 14 | "She reached out to touch" | | 15 | "He turned his head, the" | | 16 | "His jaw dropped open, releasing" | | 17 | "He lunged, not with a" | | 18 | "She didn't plunge the metal" | | 19 | "He hit the brass pavement" |
| | ratio | 0.3 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 70 | | matches | | 0 | "The Heartstone Pendant flared, a" | | 1 | "Aurora stepped through the rift," | | 2 | "Isolde followed, her silver hair" | | 3 | "The rift snapped shut." | | 4 | "An amber haze choked the" | | 5 | "Isolde traced the edge of" | | 6 | "The plant shivered, emitting a" | | 7 | "Aurora gripped the hilt of" | | 8 | "The moonsilver pommel remained ice-cold" | | 9 | "Nyx’s voice drifted like a" | | 10 | "The Shade drifted toward a" | | 11 | "Their form flickered, expanding and" | | 12 | "Aurora wiped a bead of" | | 13 | "The scent of cinnamon and" | | 14 | "She stepped forward, her boots" | | 15 | "Every breath felt heavy, as" | | 16 | "They moved deeper into the" | | 17 | "The vegetation grew denser, the" | | 18 | "Flowers with petals like raw" | | 19 | "Isolde stopped by the bank," |
| | ratio | 0.857 | |
| 71.43% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 70 | | matches | | | ratio | 0.014 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 6 | | matches | | 0 | "Aurora stepped through the rift, her boots hitting ground that felt like packed sugar." | | 1 | "Great clusters of violet grapes, each the size of a human head, wept heavy, iridescent syrup that pooled in gold-rimmed basins." | | 2 | "The moonsilver pommel remained ice-cold against her palm, a sharp contrast to the oppressive, humid heat that clung to her skin." | | 3 | "Long tables stretched for miles under the canopy, laden with platters of food that defied nature." | | 4 | "Roasted birds with feathers of sapphire, cakes that floated an inch above the porcelain, and fruits that changed color in a slow, rhythmic cycle." | | 5 | "He hit the brass pavement with a hollow thud, his body dissolving into a heap of grey soot that smelled of burnt sugar." |
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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 | |