| 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 | 192 | | 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 | 192 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "glinting" | | 1 | "scanned" | | 2 | "silence" | | 3 | "perfect" | | 4 | "chill" | | 5 | "traced" | | 6 | "flicker" | | 7 | "whisper" | | 8 | "pulse" | | 9 | "warmth" |
| |
| 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 | 25 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 25 | | filterMatches | (empty) | | hedgeMatches | | 0 | "tended to" | | 1 | "seemed to" | | 2 | "began to" |
| |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 25 | | 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 | 195 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 73.08% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 11 | | wordCount | 195 | | uniqueNames | 7 | | maxNameDensity | 1.54 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Grove | 2 | | Heartstone | 2 | | Golden | 1 | | Empress | 1 | | Richmond | 1 | | Park | 1 | | Aurora | 3 |
| | persons | | 0 | "Grove" | | 1 | "Empress" | | 2 | "Aurora" |
| | places | | 0 | "Golden" | | 1 | "Richmond" | | 2 | "Park" |
| | globalScore | 0.731 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 12 | | glossingSentenceCount | 1 | | matches | | 0 | "quite match the moonlight's angle" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 195 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 25 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 9 | | mean | 21.67 | | std | 15.46 | | cv | 0.713 | | sampleLengths | | 0 | 30 | | 1 | 48 | | 2 | 14 | | 3 | 36 | | 4 | 11 | | 5 | 37 | | 6 | 4 | | 7 | 2 | | 8 | 13 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 25 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 32 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 25 | | ratio | 0.08 | | matches | | 0 | "The delivery shift at Golden Empress had run long, and something — a restlessness, a strange pull — had drawn her to Richmond Park after midnight." | | 1 | "Aurora's fingers traced the small crescent scar on her left wrist — a nervous habit from childhood." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 192 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.026041666666666668 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 25 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 25 | | mean | 7.8 | | std | 6.34 | | cv | 0.812 | | sampleLengths | | 0 | 13 | | 1 | 17 | | 2 | 8 | | 3 | 26 | | 4 | 14 | | 5 | 5 | | 6 | 3 | | 7 | 3 | | 8 | 3 | | 9 | 7 | | 10 | 12 | | 11 | 17 | | 12 | 5 | | 13 | 2 | | 14 | 4 | | 15 | 13 | | 16 | 14 | | 17 | 10 | | 18 | 2 | | 19 | 1 | | 20 | 1 | | 21 | 2 | | 22 | 8 | | 23 | 3 | | 24 | 2 |
| |
| 78.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.52 | | totalSentences | 25 | | uniqueOpeners | 13 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 19 | | matches | | 0 | "Just absolute stillness." |
| | ratio | 0.053 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 5 | | totalSentences | 19 | | matches | | 0 | "She hadn't intended to be" | | 1 | "Her bright blue eyes scanned" | | 2 | "Their petals looked painted, frozen" | | 3 | "Her breath clouded in the" | | 4 | "Their surfaces looked polished, almost" |
| | ratio | 0.263 | |
| 91.58% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 14 | | totalSentences | 19 | | matches | | 0 | "The moonlight filtered through skeletal" | | 1 | "Aurora pulled her jacket tighter," | | 2 | "She hadn't intended to be" | | 3 | "The delivery shift at Golden" | | 4 | "Her bright blue eyes scanned" | | 5 | "The wildflowers surrounding her seemed" | | 6 | "Their petals looked painted, frozen" | | 7 | "Aurora's fingers traced the small" | | 8 | "Something moved at her peripheral." | | 9 | "Her breath clouded in the" | | 10 | "The standing stones cast strange," | | 11 | "Their surfaces looked polished, almost" | | 12 | "The Heartstone against her chest" | | 13 | "A faint warmth." |
| | ratio | 0.737 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 19 | | matches | (empty) | | ratio | 0 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 9 | | technicalSentenceCount | 1 | | matches | | 0 | "The standing stones cast strange, elongated shadows that didn't quite match the moonlight's angle." |
| |
| 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 | |