| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 57 | | tagDensity | 0.263 | | leniency | 0.526 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1837 | | 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) | |
| 75.50% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1837 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "pulsed" | | 1 | "trembled" | | 2 | "stomach" | | 3 | "chilled" | | 4 | "shimmered" | | 5 | "gleaming" | | 6 | "pulse" | | 7 | "footsteps" |
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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 | 197 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 197 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 239 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1836 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 13 | | unquotedAttributions | 0 | | matches | (empty) | |
| 38.46% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 72 | | wordCount | 1569 | | uniqueNames | 9 | | maxNameDensity | 2.23 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Aurora" | | discoveredNames | | Fae-forged | 2 | | Heartstone | 2 | | Pendant | 1 | | Aurora | 35 | | Nyx | 10 | | Isolde | 13 | | Dymas | 1 | | One | 5 | | Fae | 3 |
| | persons | | 0 | "Heartstone" | | 1 | "Aurora" | | 2 | "Nyx" | | 3 | "Isolde" | | 4 | "Dymas" | | 5 | "One" |
| | places | (empty) | | globalScore | 0.385 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 131 | | 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 | 1836 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 239 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 140 | | mean | 13.11 | | std | 13.87 | | cv | 1.058 | | sampleLengths | | 0 | 14 | | 1 | 47 | | 2 | 23 | | 3 | 20 | | 4 | 14 | | 5 | 7 | | 6 | 16 | | 7 | 2 | | 8 | 8 | | 9 | 8 | | 10 | 5 | | 11 | 42 | | 12 | 15 | | 13 | 19 | | 14 | 7 | | 15 | 2 | | 16 | 5 | | 17 | 4 | | 18 | 5 | | 19 | 4 | | 20 | 1 | | 21 | 50 | | 22 | 5 | | 23 | 3 | | 24 | 34 | | 25 | 5 | | 26 | 4 | | 27 | 41 | | 28 | 18 | | 29 | 12 | | 30 | 4 | | 31 | 7 | | 32 | 2 | | 33 | 59 | | 34 | 5 | | 35 | 26 | | 36 | 8 | | 37 | 6 | | 38 | 38 | | 39 | 3 | | 40 | 4 | | 41 | 7 | | 42 | 5 | | 43 | 2 | | 44 | 26 | | 45 | 15 | | 46 | 17 | | 47 | 3 | | 48 | 5 | | 49 | 40 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 197 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 281 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 239 | | ratio | 0.004 | | matches | | 0 | "Shapes moved behind the shimmering surface—long branches, perhaps, or fingers." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1574 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 33 | | adverbRatio | 0.02096569250317662 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0012706480304955528 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 239 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 239 | | mean | 7.68 | | std | 4.54 | | cv | 0.59 | | sampleLengths | | 0 | 14 | | 1 | 22 | | 2 | 13 | | 3 | 12 | | 4 | 9 | | 5 | 7 | | 6 | 7 | | 7 | 8 | | 8 | 12 | | 9 | 14 | | 10 | 4 | | 11 | 3 | | 12 | 16 | | 13 | 2 | | 14 | 8 | | 15 | 8 | | 16 | 5 | | 17 | 6 | | 18 | 9 | | 19 | 10 | | 20 | 17 | | 21 | 5 | | 22 | 10 | | 23 | 6 | | 24 | 8 | | 25 | 5 | | 26 | 7 | | 27 | 2 | | 28 | 5 | | 29 | 4 | | 30 | 5 | | 31 | 4 | | 32 | 1 | | 33 | 4 | | 34 | 14 | | 35 | 6 | | 36 | 11 | | 37 | 15 | | 38 | 5 | | 39 | 3 | | 40 | 14 | | 41 | 6 | | 42 | 3 | | 43 | 11 | | 44 | 5 | | 45 | 4 | | 46 | 18 | | 47 | 11 | | 48 | 12 | | 49 | 5 |
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| 56.62% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3598326359832636 | | totalSentences | 239 | | uniqueOpeners | 86 | |
| 37.45% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 178 | | matches | | 0 | "Then her boots struck stone." | | 1 | "Then one bent to cut" |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 178 | | matches | | 0 | "Their tall silhouette had no" | | 1 | "Their shadow stretched across the" | | 2 | "Their voice moved like air" | | 3 | "Its moonsilver hilt chilled her" | | 4 | "She stepped between the stones." | | 5 | "Her bones stretched into silver" | | 6 | "Her teeth rang." | | 7 | "It floated in open air," | | 8 | "Their shadow poured out of" | | 9 | "Her boots touched the glass" | | 10 | "They stood on a causeway" | | 11 | "They twisted around pale stone" | | 12 | "Their wings flashed silver." | | 13 | "Their bodies had the round," | | 14 | "They moved along the causeway." | | 15 | "They pulsed in a pattern" | | 16 | "They fought without a sound." | | 17 | "Their bodies struck the earth," | | 18 | "Its hood slipped back." | | 19 | "His mouth opened wider than" |
| | ratio | 0.185 | |
| 38.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 150 | | totalSentences | 178 | | matches | | 0 | "The rift hung between two" | | 1 | "Aurora stood before it with" | | 2 | "The pendant pulsed against her" | | 3 | "Nyx occupied the shadow beneath" | | 4 | "Their tall silhouette had no" | | 5 | "Violet eyes watched the rift" | | 6 | "Isolde combed her silver hair" | | 7 | "Moonlight caught in the strands," | | 8 | "Aurora glanced at her." | | 9 | "Isolde smiled with one corner" | | 10 | "Aurora looked at the rift." | | 11 | "The distortion trembled between the" | | 12 | "Shapes moved behind the shimmering" | | 13 | "A smell seeped through: ripe" | | 14 | "Nyx slid from the stone." | | 15 | "Their shadow stretched across the" | | 16 | "Their voice moved like air" | | 17 | "Nyx’s violet eyes narrowed." | | 18 | "The answer landed cleanly." | | 19 | "Aurora tucked the pendant beneath" |
| | ratio | 0.843 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 178 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 61 | | technicalSentenceCount | 1 | | matches | | 0 | "From deeper inside came the clatter of knives, the crash of heavy pots, and hundreds of voices reciting the same words in a rhythm that made Aurora’s teeth ache…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 15 | | fancyCount | 10 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "they whispered (whisper)" | | 2 | "they murmured (murmur)" | | 3 | "he croaked (croak)" | | 4 | "Nyx whispered (whisper)" | | 5 | "Aurora muttered (mutter)" | | 6 | "Isolde warned (warn)" | | 7 | "she whispered (whisper)" | | 8 | "it breathed (breathe)" | | 9 | "the cleaver bearer hissed (hiss)" |
| | dialogueSentences | 57 | | tagDensity | 0.263 | | leniency | 0.526 | | rawRatio | 0.667 | | effectiveRatio | 0.351 | |