| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "She walked around [around]" | | 1 | "Quinn said slowly [slowly]" |
| | dialogueSentences | 47 | | tagDensity | 0.362 | | leniency | 0.723 | | rawRatio | 0.118 | | effectiveRatio | 0.085 | |
| 66.71% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 751 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "slowly" | | 2 | "carefully" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 40.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 751 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "gloom" | | 1 | "traced" | | 2 | "scanned" | | 3 | "could feel" | | 4 | "flicker" | | 5 | "echoed" | | 6 | "footsteps" | | 7 | "standard" |
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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 | 63 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 63 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 753 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 42.01% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 463 | | uniqueNames | 9 | | maxNameDensity | 2.16 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 10 | | Veil | 4 | | Market | 3 | | Tube | 1 | | Camden | 1 | | Patel | 8 | | Shade | 1 | | Compass | 3 | | Slightly | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Market" | | 2 | "Camden" | | 3 | "Patel" |
| | places | (empty) | | globalScore | 0.42 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 27 | | glossingSentenceCount | 2 | | matches | | 0 | "quite touch his edges" | | 1 | "carvings that seemed to shift when you looked too long, and a small brass compass that caught Quinn's attention" |
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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 | 753 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 93 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 14.76 | | std | 12.52 | | cv | 0.848 | | sampleLengths | | 0 | 10 | | 1 | 51 | | 2 | 20 | | 3 | 12 | | 4 | 64 | | 5 | 18 | | 6 | 4 | | 7 | 22 | | 8 | 4 | | 9 | 17 | | 10 | 19 | | 11 | 3 | | 12 | 2 | | 13 | 18 | | 14 | 23 | | 15 | 20 | | 16 | 17 | | 17 | 5 | | 18 | 23 | | 19 | 1 | | 20 | 42 | | 21 | 10 | | 22 | 11 | | 23 | 13 | | 24 | 27 | | 25 | 4 | | 26 | 32 | | 27 | 2 | | 28 | 5 | | 29 | 28 | | 30 | 9 | | 31 | 26 | | 32 | 3 | | 33 | 13 | | 34 | 17 | | 35 | 6 | | 36 | 1 | | 37 | 19 | | 38 | 16 | | 39 | 16 | | 40 | 20 | | 41 | 8 | | 42 | 10 | | 43 | 1 | | 44 | 20 | | 45 | 9 | | 46 | 13 | | 47 | 4 | | 48 | 5 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 63 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 77 | | matches | | |
| 81.41% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 93 | | ratio | 0.022 | | matches | | 0 | "His stall displayed assorted wares — glass vials of shimmering liquid, bone carvings that seemed to shift when you looked too long, and a small brass compass that caught Quinn's attention." | | 1 | "She glanced at the victim's hands — unmarked, no defensive wounds." |
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| 95.31% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 463 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.04535637149028078 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.012958963282937365 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 8.1 | | std | 6.06 | | cv | 0.748 | | sampleLengths | | 0 | 2 | | 1 | 8 | | 2 | 16 | | 3 | 14 | | 4 | 21 | | 5 | 14 | | 6 | 6 | | 7 | 3 | | 8 | 9 | | 9 | 15 | | 10 | 18 | | 11 | 31 | | 12 | 4 | | 13 | 2 | | 14 | 12 | | 15 | 4 | | 16 | 9 | | 17 | 13 | | 18 | 4 | | 19 | 17 | | 20 | 5 | | 21 | 10 | | 22 | 2 | | 23 | 1 | | 24 | 1 | | 25 | 3 | | 26 | 2 | | 27 | 18 | | 28 | 4 | | 29 | 16 | | 30 | 3 | | 31 | 5 | | 32 | 2 | | 33 | 2 | | 34 | 11 | | 35 | 17 | | 36 | 5 | | 37 | 13 | | 38 | 10 | | 39 | 1 | | 40 | 17 | | 41 | 25 | | 42 | 3 | | 43 | 7 | | 44 | 6 | | 45 | 5 | | 46 | 8 | | 47 | 5 | | 48 | 11 | | 49 | 9 |
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| 84.59% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.5591397849462365 | | totalSentences | 93 | | uniqueOpeners | 52 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 49 | | matches | (empty) | | ratio | 0 | |
| 89.39% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 49 | | matches | | 0 | "They said three bodies, but" | | 1 | "She ducked under the police" | | 2 | "She believed it." | | 3 | "She'd been believing impossible things" | | 4 | "His stall displayed assorted wares" | | 5 | "She picked it up." | | 6 | "He pointed to the empty" | | 7 | "She glanced at the victim's" | | 8 | "She traced the wound pattern" | | 9 | "She pulled out her own" | | 10 | "She walked to the spot" | | 11 | "She held up her hand" | | 12 | "She walked around the body" | | 13 | "She pointed to the victim's" | | 14 | "His face went pale." | | 15 | "she said, her voice steady" |
| | ratio | 0.327 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 49 | | matches | | 0 | "They said three bodies, but" | | 1 | "The Veil Market stank of" | | 2 | "She ducked under the police" | | 3 | "The abandoned Tube station beneath" | | 4 | "DS Patel waved her over," | | 5 | "She believed it." | | 6 | "She'd been believing impossible things" | | 7 | "The first body lay sprawled" | | 8 | "A Shade trader, judging by" | | 9 | "His stall displayed assorted wares" | | 10 | "She picked it up." | | 11 | "The needle spun once, twice," | | 12 | "Patel clicked his pen" | | 13 | "Quinn crouched beside the body." | | 14 | "The stab wounds were precise," | | 15 | "Patel knelt beside her." | | 16 | "He pointed to the empty" | | 17 | "Quinn studied the blood pattern." | | 18 | "She glanced at the victim's" | | 19 | "She traced the wound pattern" |
| | ratio | 0.959 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 49 | | matches | | 0 | "Whoever it was had been" |
| | ratio | 0.02 | |
| 53.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 16 | | technicalSentenceCount | 2 | | matches | | 0 | "His stall displayed assorted wares — glass vials of shimmering liquid, bone carvings that seemed to shift when you looked too long, and a small brass compass th…" | | 1 | "Patel extracted a small bone token, carved with symbols that made Quinn's eyes water if she stared too long." |
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| 66.18% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 2 | | matches | | 0 | "DS Patel waved, his torch cutting a swath through the gloom" | | 1 | "she said, her voice steady" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 47 | | tagDensity | 0.128 | | leniency | 0.255 | | rawRatio | 0 | | effectiveRatio | 0 | |