| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 778 | | 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) | |
| 48.59% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 778 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "echoing" | | 1 | "measured" | | 2 | "etched" | | 3 | "magnetic" | | 4 | "calculate" | | 5 | "rhythmic" | | 6 | "quivered" |
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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 | 1 | | narrationSentences | 41 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 41 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 50 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 778 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 88.92% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 573 | | uniqueNames | 4 | | maxNameDensity | 1.22 | | worstName | "Reed" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Quinn" | | discoveredNames | | | persons | | 0 | "Quinn" | | 1 | "Kowalski" | | 2 | "Reed" | | 3 | "Eva" |
| | places | (empty) | | globalScore | 0.889 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 33 | | 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 | 778 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 50 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 16 | | mean | 48.63 | | std | 32.3 | | cv | 0.664 | | sampleLengths | | 0 | 101 | | 1 | 36 | | 2 | 105 | | 3 | 21 | | 4 | 28 | | 5 | 74 | | 6 | 32 | | 7 | 21 | | 8 | 85 | | 9 | 92 | | 10 | 30 | | 11 | 29 | | 12 | 71 | | 13 | 31 | | 14 | 20 | | 15 | 2 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 41 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 91 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 575 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.022608695652173914 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0017391304347826088 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 50 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 50 | | mean | 15.56 | | std | 7.64 | | cv | 0.491 | | sampleLengths | | 0 | 10 | | 1 | 19 | | 2 | 28 | | 3 | 31 | | 4 | 13 | | 5 | 11 | | 6 | 25 | | 7 | 15 | | 8 | 17 | | 9 | 16 | | 10 | 30 | | 11 | 27 | | 12 | 9 | | 13 | 12 | | 14 | 8 | | 15 | 20 | | 16 | 22 | | 17 | 16 | | 18 | 18 | | 19 | 18 | | 20 | 9 | | 21 | 23 | | 22 | 2 | | 23 | 19 | | 24 | 13 | | 25 | 18 | | 26 | 15 | | 27 | 26 | | 28 | 13 | | 29 | 8 | | 30 | 13 | | 31 | 11 | | 32 | 7 | | 33 | 31 | | 34 | 22 | | 35 | 8 | | 36 | 22 | | 37 | 4 | | 38 | 25 | | 39 | 10 | | 40 | 17 | | 41 | 2 | | 42 | 22 | | 43 | 11 | | 44 | 9 | | 45 | 11 | | 46 | 20 | | 47 | 5 | | 48 | 15 | | 49 | 2 |
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| 74.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.46 | | totalSentences | 50 | | uniqueOpeners | 23 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 36 | | matches | (empty) | | ratio | 0 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 36 | | matches | | 0 | "Her torch cut a steady" | | 1 | "She shifted on her haunches," | | 2 | "She counted the strides between" | | 3 | "She noted a faint scuff" | | 4 | "She stopped short of the" | | 5 | "She held it low, away" | | 6 | "It twitched once, then locked" | | 7 | "She crossed to the grate" | | 8 | "Its edge carried a carved" | | 9 | "She brushed it free with" | | 10 | "She straightened and pocketed both" | | 11 | "she said to Reed" |
| | ratio | 0.333 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 34 | | totalSentences | 36 | | matches | | 0 | "Quinn knelt beside the body" | | 1 | "Her torch cut a steady" | | 2 | "Dust coated the once-shiny shoes" | | 3 | "She shifted on her haunches," | | 4 | "The cut ran shallow near" | | 5 | "Reed said from farther along" | | 6 | "Quinn rose without replying and" | | 7 | "She counted the strides between" | | 8 | "The spatter pattern on the" | | 9 | "She noted a faint scuff" | | 10 | "Reed stepped closer, boots echoing" | | 11 | "A figure emerged from the" | | 12 | "Eva Kowalski approached at a" | | 13 | "She stopped short of the" | | 14 | "Quinn ignored the exchange and" | | 15 | "The patina of verdigris dulled" | | 16 | "She held it low, away" | | 17 | "It twitched once, then locked" | | 18 | "The needle refused to shift" | | 19 | "She crossed to the grate" |
| | ratio | 0.944 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 36 | | matches | (empty) | | ratio | 0 | |
| 37.04% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 4 | | matches | | 0 | "Her torch cut a steady beam over the gash that severed the victim's throat in a single clean arc." | | 1 | "Dust coated the once-shiny shoes and the edges of the expensive suit jacket, but no tracks marked the surrounding silt from anyone who might have dragged him he…" | | 2 | "The patina of verdigris dulled its surface, yet the face showed etched sigils that caught her torch light." | | 3 | "A faint scrape answered from the other side, low and rhythmic, as though someone adjusted crates or tables just beyond the barrier." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.308 | | leniency | 0.615 | | rawRatio | 0 | | effectiveRatio | 0 | |