| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 15 | | tagDensity | 0.533 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 611 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 1.80% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 611 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "pulsed" | | 1 | "whisper" | | 2 | "chill" | | 3 | "glistening" | | 4 | "trembled" | | 5 | "rhythmic" | | 6 | "echoing" | | 7 | "stomach" | | 8 | "weight" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "The air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 52 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 52 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 60 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 605 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 68.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 551 | | uniqueNames | 6 | | maxNameDensity | 1.63 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 2 | | Aurora | 9 | | Nyx | 5 | | Fae-forged | 1 | | Belphegor | 2 | | Prince | 2 |
| | persons | | 0 | "Heartstone" | | 1 | "Aurora" | | 2 | "Nyx" | | 3 | "Belphegor" | | 4 | "Prince" |
| | places | (empty) | | globalScore | 0.683 | | windowScore | 1 | |
| 82.43% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 1 | | matches | | 0 | "something like wheat, but the grains were fa" |
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| 34.71% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.653 | | wordCount | 605 | | matches | | 0 | "not hers, but the land’s" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 21.61 | | std | 14.91 | | cv | 0.69 | | sampleLengths | | 0 | 37 | | 1 | 27 | | 2 | 53 | | 3 | 25 | | 4 | 52 | | 5 | 17 | | 6 | 12 | | 7 | 49 | | 8 | 34 | | 9 | 3 | | 10 | 6 | | 11 | 36 | | 12 | 26 | | 13 | 12 | | 14 | 38 | | 15 | 30 | | 16 | 9 | | 17 | 17 | | 18 | 14 | | 19 | 28 | | 20 | 20 | | 21 | 3 | | 22 | 7 | | 23 | 5 | | 24 | 16 | | 25 | 21 | | 26 | 4 | | 27 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 52 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 92 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 60 | | ratio | 0.1 | | matches | | 0 | "The air smelled thick with something sweet and cloying—honey, maybe, or overripe fruit." | | 1 | "No sun, no clouds—just light bleeding from everywhere at once." | | 2 | "The sound was faint at first—a low, rhythmic thrumming, like a heartbeat echoing through the earth." | | 3 | "And at the head of the table, a figure lounged—tall, elegant, his skin the color of aged parchment, his fingers long and tipped with nails like polished bone." | | 4 | "The feast, the clearing, the impossible sky—all of it waited, watching." | | 5 | "And for the first time since stepping through the rift, Aurora felt the weight of true hunger—not hers, but the land’s." |
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| 91.08% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 259 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.05019305019305019 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.011583011583011582 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 60 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 60 | | mean | 10.08 | | std | 7.3 | | cv | 0.724 | | sampleLengths | | 0 | 18 | | 1 | 13 | | 2 | 6 | | 3 | 13 | | 4 | 11 | | 5 | 3 | | 6 | 2 | | 7 | 19 | | 8 | 10 | | 9 | 22 | | 10 | 10 | | 11 | 15 | | 12 | 22 | | 13 | 17 | | 14 | 13 | | 15 | 8 | | 16 | 7 | | 17 | 2 | | 18 | 7 | | 19 | 5 | | 20 | 7 | | 21 | 23 | | 22 | 19 | | 23 | 25 | | 24 | 9 | | 25 | 3 | | 26 | 5 | | 27 | 1 | | 28 | 16 | | 29 | 20 | | 30 | 6 | | 31 | 16 | | 32 | 4 | | 33 | 12 | | 34 | 31 | | 35 | 7 | | 36 | 28 | | 37 | 2 | | 38 | 5 | | 39 | 3 | | 40 | 1 | | 41 | 8 | | 42 | 9 | | 43 | 10 | | 44 | 4 | | 45 | 6 | | 46 | 13 | | 47 | 9 | | 48 | 14 | | 49 | 6 |
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| 68.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.43333333333333335 | | totalSentences | 60 | | uniqueOpeners | 26 | |
| 72.46% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 46 | | matches | | 0 | "Then, the scent hit her:" |
| | ratio | 0.022 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 46 | | matches | | 0 | "She swallowed, her mouth suddenly" | | 1 | "they murmured, the whisper curling" | | 2 | "she muttered, adjusting the strap" | | 3 | "Their trunks were smooth, almost" | | 4 | "It reminded her of" | | 5 | "It burned against her skin" | | 6 | "His smile was slow, indulgent." | | 7 | "He lifted a goblet, the" | | 8 | "She tightened her grip." |
| | ratio | 0.196 | |
| 25.22% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 46 | | matches | | 0 | "The Heartstone pendant pulsed against" | | 1 | "The air smelled thick with" | | 2 | "She swallowed, her mouth suddenly" | | 3 | "they murmured, the whisper curling" | | 4 | "The sky above them was" | | 5 | "The ground beneath her boots" | | 6 | "she muttered, adjusting the strap" | | 7 | "The Fae-forged blade at her" | | 8 | "Nyx glided forward, their silhouette" | | 9 | "Their trunks were smooth, almost" | | 10 | "Some were swollen and split," | | 11 | "Aurora reached out, brushing her" | | 12 | "The skin was warm, yielding" | | 13 | "Nyx said, though they didn’t" | | 14 | "Aurora wiped her hand against" | | 15 | "The air was thick with" | | 16 | "It reminded her of" | | 17 | "A path unfolded before them," | | 18 | "Aurora swore she saw them" | | 19 | "Nyx paused, their head tilting." |
| | ratio | 0.87 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 46 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 2 | | matches | | 0 | "Nyx glided forward, their silhouette flickering between solid and incorporeal as they passed beneath the twisted boughs of trees that shouldn’t exist." | | 1 | "A path unfolded before them, lined with towering stalks of something like wheat, but the grains were fat, glistening beads that trembled as they passed." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "It reminded, if the patrons were all half-drunk and whispering secrets" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "they murmured (murmur)" | | 1 | "she muttered (mutter)" | | 2 | "she muttered (mutter)" |
| | dialogueSentences | 15 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.6 | | effectiveRatio | 0.4 | |