| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.474 | | leniency | 0.947 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 838 | | 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) | |
| 46.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 838 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "pulse" | | 1 | "etched" | | 2 | "weight" | | 3 | "scanning" | | 4 | "traced" | | 5 | "flicked" | | 6 | "glinting" |
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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 | 39 | | matches | (empty) | |
| 32.97% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 3 | | hedgeCount | 0 | | narrationSentences | 39 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 49 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 836 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 71.88% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 576 | | uniqueNames | 7 | | maxNameDensity | 1.56 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 1 | | Veil | 1 | | Compass | 1 | | Quinn | 9 | | Eva | 9 | | British | 1 | | Museum | 1 |
| | persons | | 0 | "Compass" | | 1 | "Quinn" | | 2 | "Eva" | | 3 | "Museum" |
| | places | | | globalScore | 0.719 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 38 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 80.38% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.196 | | wordCount | 836 | | matches | | 0 | "not at the body but toward the far wall" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 49 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 16 | | mean | 52.25 | | std | 27.27 | | cv | 0.522 | | sampleLengths | | 0 | 78 | | 1 | 75 | | 2 | 22 | | 3 | 72 | | 4 | 16 | | 5 | 65 | | 6 | 52 | | 7 | 58 | | 8 | 30 | | 9 | 81 | | 10 | 10 | | 11 | 84 | | 12 | 23 | | 13 | 91 | | 14 | 16 | | 15 | 63 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 39 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 98 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 3 | | flaggedSentences | 5 | | totalSentences | 49 | | ratio | 0.102 | | matches | | 0 | "“What about the symbols?” She pointed to the charcoal drawings etched into the stone near the niche—a series of interlocking circles, each filled with a tiny sigil of moon and star." | | 1 | "Eva’s nervous habit flared; she tucked a strand of hair behind her ear, then pressed her palm to the satchel." | | 2 | "A sliver of metal gleamed from behind the brick—a thin blade, its edge nicked." | | 3 | "She gave it a gentle shake; the needle steadied, pointing directly at the blade in her hand." | | 4 | "“The bone token was never required for entry here. The killer used the market’s reputation to mask a workshop. The Veil Compass didn’t malfunction; it worked exactly as designed, guiding us to the real evidence.” She slipped the blade into her evidence bag, the leather satchel of Eva rustling as she shifted weight." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 578 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 10 | | adverbRatio | 0.01730103806228374 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006920415224913495 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 49 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 49 | | mean | 17.06 | | std | 9.42 | | cv | 0.552 | | sampleLengths | | 0 | 18 | | 1 | 9 | | 2 | 14 | | 3 | 19 | | 4 | 18 | | 5 | 16 | | 6 | 23 | | 7 | 13 | | 8 | 23 | | 9 | 8 | | 10 | 14 | | 11 | 14 | | 12 | 24 | | 13 | 34 | | 14 | 8 | | 15 | 8 | | 16 | 10 | | 17 | 28 | | 18 | 20 | | 19 | 7 | | 20 | 21 | | 21 | 31 | | 22 | 12 | | 23 | 22 | | 24 | 20 | | 25 | 4 | | 26 | 20 | | 27 | 10 | | 28 | 6 | | 29 | 14 | | 30 | 19 | | 31 | 24 | | 32 | 18 | | 33 | 6 | | 34 | 4 | | 35 | 10 | | 36 | 17 | | 37 | 33 | | 38 | 24 | | 39 | 9 | | 40 | 14 | | 41 | 9 | | 42 | 53 | | 43 | 29 | | 44 | 10 | | 45 | 6 | | 46 | 11 | | 47 | 30 | | 48 | 22 |
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| 60.54% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.3877551020408163 | | totalSentences | 49 | | uniqueOpeners | 19 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 39 | | matches | (empty) | | ratio | 0 | |
| 76.41% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 39 | | matches | | 0 | "Her brown eyes swept the" | | 1 | "She adjusted her round glasses," | | 2 | "She ran a gloved finger" | | 3 | "She lifted the victim’s hand," | | 4 | "She rose, eyes scanning the" | | 5 | "She pointed to the charcoal" | | 6 | "She traced the edge of" | | 7 | "She turned her head, the" | | 8 | "She pulled it free, the" | | 9 | "She held it up, the" | | 10 | "She gave it a gentle" | | 11 | "She tapped the casing, feeling" | | 12 | "She slipped the blade into" | | 13 | "She turned toward the dark" |
| | ratio | 0.359 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 39 | | matches | | 0 | "Quinn stepped through the rusted" | | 1 | "The air tasted of damp" | | 2 | "Her brown eyes swept the" | | 3 | "A body lay curled near" | | 4 | "The worn leather watch on" | | 5 | "Eva knelt beside the corpse," | | 6 | "She adjusted her round glasses," | | 7 | "The compass casing bore a" | | 8 | "The needle spun lazily, pointing" | | 9 | "Eva said, voice low" | | 10 | "Quinn crouched, her military precision" | | 11 | "She ran a gloved finger" | | 12 | "She lifted the victim’s hand," | | 13 | "Eva frowned, freckles tightening around" | | 14 | "Quinn shook her head, the" | | 15 | "She rose, eyes scanning the" | | 16 | "A thin line of dust" | | 17 | "Eva glanced at the satchel" | | 18 | "She pointed to the charcoal" | | 19 | "Quinn stepped closer, her boots" |
| | ratio | 0.974 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 39 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 2 | | matches | | 0 | "Eva said, voice low" | | 1 | "She turned, the sharp jaw catching the dim light" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.053 | | leniency | 0.105 | | rawRatio | 0 | | effectiveRatio | 0 | |