| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.8 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 407 | | 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) | |
| 26.29% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 407 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "velvet" | | 1 | "pulse" | | 2 | "warmth" | | 3 | "shimmered" | | 4 | "intricate" | | 5 | "scanning" |
| |
| 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 | 17 | | matches | (empty) | |
| 58.82% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 17 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 18 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 406 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 69.35% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 372 | | uniqueNames | 8 | | maxNameDensity | 1.61 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | London | 2 | | Aurora | 6 | | Heartstone | 1 | | Pendant | 1 | | Nyx | 3 | | Further | 1 | | Veil | 1 | | Fae-forged | 1 |
| | persons | | | places | | | globalScore | 0.694 | | windowScore | 1 | |
| 2.94% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 17 | | glossingSentenceCount | 1 | | matches | | |
| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 2.463 | | wordCount | 406 | | matches | | 0 | "not by human hands but grown straight from the bedrock, spiraling upward in intrica" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 18 | | matches | (empty) | |
| 95.56% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 9 | | mean | 45.11 | | std | 21.86 | | cv | 0.484 | | sampleLengths | | 0 | 52 | | 1 | 34 | | 2 | 47 | | 3 | 23 | | 4 | 33 | | 5 | 93 | | 6 | 17 | | 7 | 65 | | 8 | 42 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 17 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 56 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 18 | | ratio | 0.056 | | matches | | 0 | "Between them, the air rippled with a faint shimmering distortion—the Veil, whispering against the mortal boundary." |
| |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 379 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 11 | | adverbRatio | 0.029023746701846966 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.013192612137203167 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 18 | | echoCount | 0 | | echoWords | (empty) | |
| 82.51% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 18 | | mean | 22.56 | | std | 8.04 | | cv | 0.356 | | sampleLengths | | 0 | 24 | | 1 | 28 | | 2 | 34 | | 3 | 24 | | 4 | 23 | | 5 | 23 | | 6 | 17 | | 7 | 16 | | 8 | 23 | | 9 | 6 | | 10 | 24 | | 11 | 11 | | 12 | 29 | | 13 | 17 | | 14 | 27 | | 15 | 16 | | 16 | 22 | | 17 | 42 |
| |
| 100.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.7777777777777778 | | totalSentences | 18 | | uniqueOpeners | 14 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 17 | | matches | | 0 | "Further ahead, a ring of" |
| | ratio | 0.059 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 2 | | totalSentences | 17 | | matches | | 0 | "Her straight shoulder-length black hair" | | 1 | "They pressed deeper into the" |
| | ratio | 0.118 | |
| 18.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 15 | | totalSentences | 17 | | matches | | 0 | "Aurora pushed past the perimeter" | | 1 | "The air shifted instantly, growing" | | 2 | "Nyx murmured, their humanoid silhouette" | | 3 | "Aurora adjusted the silver chain" | | 4 | "Her straight shoulder-length black hair" | | 5 | "Aurora noted, watching a dragonfly" | | 6 | "Nyx phased through the trunk" | | 7 | "They pressed deeper into the" | | 8 | "Every surface hummed with dormant" | | 9 | "A small brook babbled nearby," | | 10 | "Aurora knelt beside the bank," | | 11 | "The water felt freezing, biting" | | 12 | "Nyx whispered, emerging from the" | | 13 | "Aurora stepped closer, the Fae-forged" | | 14 | "Aurora said, her bright blue" |
| | ratio | 0.882 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 17 | | matches | (empty) | | ratio | 0 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 12 | | technicalSentenceCount | 2 | | matches | | 0 | "Aurora pushed past the perimeter of ancient oak standing stones, boots sinking into soil that felt less like earth and more like sun-warmed velvet." | | 1 | "A small brook babbled nearby, its water running the bright, unnatural color of liquid amethyst, carrying fallen petals that glowed in the dim undergrowth." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "Nyx murmured (murmur)" | | 1 | "Aurora noted (note)" | | 2 | "Nyx whispered (whisper)" |
| | dialogueSentences | 5 | | tagDensity | 0.8 | | leniency | 1 | | rawRatio | 0.75 | | effectiveRatio | 0.75 | |