| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 0 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 60.16% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 251 | | totalAiIsmAdverbs | 2 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 251 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "loomed" | | 1 | "etched" | | 2 | "whisper" | | 3 | "pulsed" | | 4 | "warmth" | | 5 | "calculating" | | 6 | "trembled" | | 7 | "perfect" |
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| 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 | 26 | | matches | (empty) | |
| 87.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 26 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 26 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 246 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 6 | | wordCount | 234 | | uniqueNames | 6 | | maxNameDensity | 0.43 | | worstName | "Carter" | | maxWindowNameDensity | 0 | | worstWindowName | (null) | | discoveredNames | | Carter | 1 | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Golden | 1 | | Empress | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Golden" |
| | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 13 | | glossingSentenceCount | 2 | | matches | | 0 | "reflections that seemed to move independently of her own shadow" | | 1 | "seemed subtly closer than moments before, their lichen-covered surfaces no longer forming a perfect circle but a fractionally tighter ring" |
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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 | 246 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 26 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 10 | | mean | 24.6 | | std | 16.62 | | cv | 0.676 | | sampleLengths | | 0 | 42 | | 1 | 50 | | 2 | 20 | | 3 | 50 | | 4 | 10 | | 5 | 17 | | 6 | 4 | | 7 | 32 | | 8 | 11 | | 9 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 26 | | matches | (empty) | |
| 3.92% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 34 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 26 | | ratio | 0.115 | | matches | | 0 | "The Heartstone pendant around her neck—a gift from someone she couldn't remember—pulsed with a warmth that felt more like a warning than comfort." | | 1 | "Instead, something had drawn her here—a compulsion she couldn't fully explain, a nagging certainty that answers waited among these ancient stones." | | 2 | "Her left hand—the one with the small crescent-shaped childhood scar—twitched involuntarily." |
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| 72.79% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 131 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.061068702290076333 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.030534351145038167 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 26 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 26 | | mean | 9.46 | | std | 7.76 | | cv | 0.82 | | sampleLengths | | 0 | 18 | | 1 | 24 | | 2 | 6 | | 3 | 23 | | 4 | 21 | | 5 | 4 | | 6 | 3 | | 7 | 12 | | 8 | 1 | | 9 | 10 | | 10 | 19 | | 11 | 21 | | 12 | 2 | | 13 | 4 | | 14 | 4 | | 15 | 8 | | 16 | 4 | | 17 | 5 | | 18 | 4 | | 19 | 23 | | 20 | 9 | | 21 | 11 | | 22 | 2 | | 23 | 3 | | 24 | 2 | | 25 | 3 |
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| 96.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.6153846153846154 | | totalSentences | 26 | | uniqueOpeners | 16 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 22 | | matches | | 0 | "Instead, something had drawn her" |
| | ratio | 0.045 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 5 | | totalSentences | 22 | | matches | | 0 | "She'd come here looking for" | | 1 | "Its crimson gemstone caught what" | | 2 | "She should be in her" | | 3 | "Her bright blue eyes darted" | | 4 | "Her left hand—the one with" |
| | ratio | 0.227 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 13 | | totalSentences | 22 | | matches | | 0 | "The oak standing stones loomed" | | 1 | "Aurora Carter's breath misted in" | | 2 | "She'd come here looking for" | | 3 | "The Heartstone pendant around her" | | 4 | "Its crimson gemstone caught what" | | 5 | "The grove felt wrong." | | 6 | "Something more unsettling: a sense" | | 7 | "Rory's delivery shift at Golden" | | 8 | "She should be in her" | | 9 | "Her bright blue eyes darted" | | 10 | "The wildflowers hadn't moved." | | 11 | "The standing stones seemed subtly" | | 12 | "Her left hand—the one with" |
| | ratio | 0.591 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 22 | | matches | | 0 | "As if they were slowly," |
| | ratio | 0.045 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 9 | | technicalSentenceCount | 3 | | matches | | 0 | "The Heartstone pendant around her neck—a gift from someone she couldn't remember—pulsed with a warmth that felt more like a warning than comfort." | | 1 | "Its crimson gemstone caught what little ambient light existed, casting strange reflections that seemed to move independently of her own shadow." | | 2 | "Instead, something had drawn her here—a compulsion she couldn't fully explain, a nagging certainty that answers waited among these ancient stones." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |