| 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 | 1449 | | 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 | 1449 | | totalAiIsms | 29 | | found | | | highlights | | 0 | "weight" | | 1 | "scanning" | | 2 | "silence" | | 3 | "pulse" | | 4 | "whisper" | | 5 | "stomach" | | 6 | "crystal" | | 7 | "calculating" | | 8 | "pulsed" | | 9 | "unreadable" | | 10 | "oppressive" | | 11 | "mechanical" | | 12 | "vibrated" | | 13 | "flickered" | | 14 | "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 | 191 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 191 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 191 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1449 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 63.73% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 83 | | wordCount | 1449 | | uniqueNames | 12 | | maxNameDensity | 1.73 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 25 | | Isolde | 16 | | Fae | 8 | | Grove | 2 | | Fae-Forged | 2 | | Blade | 7 | | Veil | 4 | | Heartstone | 2 | | Shade | 2 | | Dymas | 3 | | Nyx | 11 | | Hilt | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Isolde" | | 2 | "Blade" | | 3 | "Veil" | | 4 | "Shade" | | 5 | "Nyx" |
| | places | | | globalScore | 0.637 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 111 | | glossingSentenceCount | 2 | | matches | | 0 | "seemed uncertain for the first time" | | 1 | "appeared beside her, solid now, their form flickering with violet static" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1449 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 191 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 82 | | mean | 17.67 | | std | 14.55 | | cv | 0.823 | | sampleLengths | | 0 | 62 | | 1 | 36 | | 2 | 7 | | 3 | 8 | | 4 | 41 | | 5 | 24 | | 6 | 10 | | 7 | 32 | | 8 | 3 | | 9 | 44 | | 10 | 21 | | 11 | 14 | | 12 | 9 | | 13 | 46 | | 14 | 9 | | 15 | 22 | | 16 | 2 | | 17 | 42 | | 18 | 7 | | 19 | 54 | | 20 | 10 | | 21 | 8 | | 22 | 32 | | 23 | 19 | | 24 | 12 | | 25 | 36 | | 26 | 6 | | 27 | 18 | | 28 | 1 | | 29 | 45 | | 30 | 5 | | 31 | 11 | | 32 | 6 | | 33 | 27 | | 34 | 4 | | 35 | 3 | | 36 | 35 | | 37 | 6 | | 38 | 37 | | 39 | 12 | | 40 | 9 | | 41 | 4 | | 42 | 21 | | 43 | 4 | | 44 | 32 | | 45 | 17 | | 46 | 4 | | 47 | 27 | | 48 | 3 | | 49 | 28 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 191 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 264 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 191 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1453 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 40 | | adverbRatio | 0.02752924982794219 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.0055058499655884375 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 191 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 191 | | mean | 7.59 | | std | 4.67 | | cv | 0.615 | | sampleLengths | | 0 | 20 | | 1 | 20 | | 2 | 3 | | 3 | 19 | | 4 | 18 | | 5 | 18 | | 6 | 7 | | 7 | 8 | | 8 | 5 | | 9 | 20 | | 10 | 16 | | 11 | 10 | | 12 | 14 | | 13 | 3 | | 14 | 7 | | 15 | 4 | | 16 | 5 | | 17 | 6 | | 18 | 17 | | 19 | 3 | | 20 | 3 | | 21 | 14 | | 22 | 13 | | 23 | 6 | | 24 | 8 | | 25 | 13 | | 26 | 8 | | 27 | 3 | | 28 | 11 | | 29 | 2 | | 30 | 4 | | 31 | 3 | | 32 | 16 | | 33 | 19 | | 34 | 11 | | 35 | 5 | | 36 | 4 | | 37 | 4 | | 38 | 4 | | 39 | 14 | | 40 | 2 | | 41 | 8 | | 42 | 14 | | 43 | 5 | | 44 | 7 | | 45 | 8 | | 46 | 7 | | 47 | 2 | | 48 | 6 | | 49 | 4 |
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| 37.43% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 24 | | diversityRatio | 0.19895287958115182 | | totalSentences | 191 | | uniqueOpeners | 38 | |
| 19.38% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 172 | | matches | | 0 | "Then you hold the weight." |
| | ratio | 0.006 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 172 | | matches | | 0 | "We step where light forgets" | | 1 | "She stepped into the shimmering" | | 2 | "I see you." | | 3 | "She reached for her wrist," | | 4 | "Her heart hammered against her" | | 5 | "It feels hot." | | 6 | "They were solid now, the" | | 7 | "We are closer than before." | | 8 | "They touched the air." | | 9 | "Their hand passed through." | | 10 | "She pointed to the distortion." | | 11 | "It rippled like water disturbed" | | 12 | "It was a surface." | | 13 | "She saw glimpses of something" | | 14 | "I’m not scared." | | 15 | "I’m calculating risk." | | 16 | "She kept her eyes on" | | 17 | "It was a door." | | 18 | "It opens for what you" | | 19 | "We carry the stone." |
| | ratio | 0.262 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 163 | | totalSentences | 172 | | matches | | 0 | "The moss under Aurora’s boots" | | 1 | "The silver-haired woman walked without" | | 2 | "Aurora glanced back." | | 3 | "The oak boundary stones stood" | | 4 | "Nyx drifted beside her, the" | | 5 | "Violet eyes glowed in the" | | 6 | "We step where light forgets" | | 7 | "Isolde didn’t turn around, her" | | 8 | "Aurora adjusted the strap of" | | 9 | "The moonsilver dagger hummed against" | | 10 | "A shadow thickened across the" | | 11 | "Nyx’s hand reached out, fingers" | | 12 | "The Veil breathes." | | 13 | "Isolde extended a hand." | | 14 | "She stepped into the shimmering" | | 15 | "The light bent around her" | | 16 | "I see you." | | 17 | "Aurora stepped forward." | | 18 | "The glass-like grass crunched under" | | 19 | "She reached for her wrist," |
| | ratio | 0.948 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 172 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 1 | | matches | | 0 | "The sound was a groan, a low mechanical protest that vibrated in Aurora’s teeth." |
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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 | |