| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 1 | | adverbTags | | 0 | "Aurora steps back [back]" |
| | dialogueSentences | 34 | | tagDensity | 0.588 | | leniency | 1 | | rawRatio | 0.05 | | effectiveRatio | 0.05 | |
| 96.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1643 | | totalAiIsmAdverbs | 1 | | 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) | |
| 8.70% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1643 | | totalAiIsms | 30 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "gloom" | | 1 | "predictable" | | 2 | "chill" | | 3 | "warmth" | | 4 | "stark" | | 5 | "crystal" | | 6 | "velvet" | | 7 | "oppressive" | | 8 | "stomach" | | 9 | "echoing" | | 10 | "dances" | | 11 | "mosaic" | | 12 | "shattered" | | 13 | "porcelain" | | 14 | "rhythmic" | | 15 | "footsteps" | | 16 | "dance" | | 17 | "silence" | | 18 | "searing" | | 19 | "structure" | | 20 | "hulking" |
| |
| 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 | 154 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 154 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 165 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1632 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 57.74% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 69 | | wordCount | 1409 | | uniqueNames | 13 | | maxNameDensity | 1.85 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 26 | | Heartstone | 4 | | Veil | 2 | | London | 1 | | Earth | 1 | | Fae-Forged | 1 | | Nyx | 12 | | Shade | 6 | | Fae-forged | 2 | | Isolde | 11 | | Dymas | 1 | | Gluttony | 1 | | Massive | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Heartstone" | | 2 | "Veil" | | 3 | "Earth" | | 4 | "Nyx" | | 5 | "Shade" | | 6 | "Isolde" |
| | places | | | globalScore | 0.577 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 124 | | 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 | 1632 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 165 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 28.14 | | std | 14.26 | | cv | 0.507 | | sampleLengths | | 0 | 34 | | 1 | 18 | | 2 | 35 | | 3 | 25 | | 4 | 23 | | 5 | 53 | | 6 | 8 | | 7 | 43 | | 8 | 41 | | 9 | 31 | | 10 | 50 | | 11 | 16 | | 12 | 35 | | 13 | 20 | | 14 | 58 | | 15 | 35 | | 16 | 27 | | 17 | 26 | | 18 | 75 | | 19 | 29 | | 20 | 31 | | 21 | 28 | | 22 | 3 | | 23 | 50 | | 24 | 45 | | 25 | 20 | | 26 | 26 | | 27 | 30 | | 28 | 24 | | 29 | 30 | | 30 | 40 | | 31 | 33 | | 32 | 13 | | 33 | 11 | | 34 | 14 | | 35 | 23 | | 36 | 3 | | 37 | 32 | | 38 | 25 | | 39 | 22 | | 40 | 18 | | 41 | 14 | | 42 | 13 | | 43 | 18 | | 44 | 39 | | 45 | 28 | | 46 | 25 | | 47 | 16 | | 48 | 31 | | 49 | 13 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 154 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 212 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 165 | | ratio | 0 | | matches | (empty) | |
| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1420 | | adjectiveStacks | 3 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "slender, leaf-shaped dagger" | | 2 | "against massive, pale tree" |
| | adverbCount | 16 | | adverbRatio | 0.011267605633802818 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 165 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 165 | | mean | 9.89 | | std | 4.75 | | cv | 0.48 | | sampleLengths | | 0 | 11 | | 1 | 9 | | 2 | 14 | | 3 | 18 | | 4 | 10 | | 5 | 5 | | 6 | 6 | | 7 | 11 | | 8 | 3 | | 9 | 7 | | 10 | 10 | | 11 | 8 | | 12 | 23 | | 13 | 3 | | 14 | 11 | | 15 | 6 | | 16 | 7 | | 17 | 10 | | 18 | 3 | | 19 | 13 | | 20 | 8 | | 21 | 5 | | 22 | 12 | | 23 | 6 | | 24 | 8 | | 25 | 12 | | 26 | 8 | | 27 | 7 | | 28 | 16 | | 29 | 10 | | 30 | 7 | | 31 | 11 | | 32 | 13 | | 33 | 8 | | 34 | 8 | | 35 | 17 | | 36 | 6 | | 37 | 11 | | 38 | 16 | | 39 | 19 | | 40 | 16 | | 41 | 20 | | 42 | 3 | | 43 | 13 | | 44 | 6 | | 45 | 13 | | 46 | 6 | | 47 | 9 | | 48 | 8 | | 49 | 19 |
| |
| 36.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 22 | | diversityRatio | 0.2727272727272727 | | totalSentences | 165 | | uniqueOpeners | 45 | |
| 44.74% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 149 | | matches | | 0 | "Instead, a warm, bruised amber" | | 1 | "Dark green tendrils uncoil, slithering" |
| | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 149 | | matches | | 0 | "She moves with ethereal grace," | | 1 | "She reaches into her coat" | | 2 | "Their incorporeal form condenses into" | | 3 | "She pushes her hand through" | | 4 | "Her boots leave the predictable" | | 5 | "They bloom and wilt in" | | 6 | "Her pale lavender eyes reflect" | | 7 | "She advances through the thick" | | 8 | "They serve as banquet tables," | | 9 | "She ignores the food." | | 10 | "She taps a massive glass-like" | | 11 | "It turns its blind head" | | 12 | "She holds the moonsilver dagger" | | 13 | "She slashes downward." | | 14 | "They shrink away from her" | | 15 | "She studies the archway of" | | 16 | "She analyzes the movement of" | | 17 | "They follow a sensory trigger." | | 18 | "It holds a mountain of" | | 19 | "They drag their massive barbed" |
| | ratio | 0.174 | |
| 10.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 134 | | totalSentences | 149 | | matches | | 0 | "Isolde glides past the ancient" | | 1 | "She moves with ethereal grace," | | 2 | "Isolde gestures toward the black" | | 3 | "Aurora traces the small crescent-shaped" | | 4 | "The gesture grounds her mind." | | 5 | "She reaches into her coat" | | 6 | "The Heartstone throbs against her" | | 7 | "The Veil approaches." | | 8 | "Nyx flows over the manicured" | | 9 | "Their incorporeal form condenses into" | | 10 | "Violet eyes pierce the gloom" | | 11 | "Nyx's voice breezes past Aurora," | | 12 | "Aurora steps forward." | | 13 | "The space between the oaks" | | 14 | "A shimmering distortion ripples the" | | 15 | "She pushes her hand through" | | 16 | "The atmosphere bites at her" | | 17 | "The world twists." | | 18 | "Her boots leave the predictable" | | 19 | "The transition rips the quiet" |
| | ratio | 0.899 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 149 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 61 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |