| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 82.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 585 | | 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) | |
| 65.81% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 585 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "gloom" | | 1 | "flickered" | | 2 | "etched" | | 3 | "flicked" |
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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 | 51 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 51 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 66 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 580 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 32.08% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 424 | | uniqueNames | 4 | | maxNameDensity | 2.36 | | worstName | "Cole" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Cole" | | discoveredNames | | Tube | 1 | | Sergeant | 1 | | Cole | 10 | | Quinn | 6 |
| | persons | | 0 | "Sergeant" | | 1 | "Cole" | | 2 | "Quinn" |
| | places | (empty) | | globalScore | 0.321 | | windowScore | 0.5 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 31 | | glossingSentenceCount | 3 | | matches | | 0 | "as if reaching for something just beyond his fingertips" | | 1 | "quite fear, wasn’t quite surprise" | | 2 | "quite surprise" | | 3 | "something like burnt copper" |
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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 | 580 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 66 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 24.17 | | std | 14.29 | | cv | 0.591 | | sampleLengths | | 0 | 48 | | 1 | 3 | | 2 | 50 | | 3 | 21 | | 4 | 23 | | 5 | 49 | | 6 | 3 | | 7 | 15 | | 8 | 30 | | 9 | 21 | | 10 | 43 | | 11 | 4 | | 12 | 27 | | 13 | 38 | | 14 | 26 | | 15 | 16 | | 16 | 14 | | 17 | 5 | | 18 | 24 | | 19 | 17 | | 20 | 34 | | 21 | 27 | | 22 | 8 | | 23 | 34 |
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| 91.50% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 51 | | matches | | 0 | "was matted" | | 1 | "were polished" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 82 | | matches | (empty) | |
| 56.28% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 66 | | ratio | 0.03 | | matches | | 0 | "The beam of her torch cut through the gloom, illuminating the graffiti-scrawled walls—tags that looked too deliberate, too precise, like symbols rather than vandalism." | | 1 | "The sigils etched into its face were worn but unmistakable—wards, protection marks." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 428 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.035046728971962614 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.002336448598130841 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 66 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 66 | | mean | 8.79 | | std | 5.9 | | cv | 0.672 | | sampleLengths | | 0 | 11 | | 1 | 13 | | 2 | 24 | | 3 | 3 | | 4 | 17 | | 5 | 9 | | 6 | 24 | | 7 | 5 | | 8 | 10 | | 9 | 3 | | 10 | 3 | | 11 | 16 | | 12 | 7 | | 13 | 7 | | 14 | 15 | | 15 | 3 | | 16 | 10 | | 17 | 14 | | 18 | 3 | | 19 | 5 | | 20 | 10 | | 21 | 13 | | 22 | 4 | | 23 | 3 | | 24 | 3 | | 25 | 7 | | 26 | 3 | | 27 | 18 | | 28 | 3 | | 29 | 12 | | 30 | 13 | | 31 | 8 | | 32 | 7 | | 33 | 2 | | 34 | 2 | | 35 | 4 | | 36 | 23 | | 37 | 3 | | 38 | 6 | | 39 | 9 | | 40 | 12 | | 41 | 8 | | 42 | 9 | | 43 | 8 | | 44 | 9 | | 45 | 3 | | 46 | 13 | | 47 | 7 | | 48 | 7 | | 49 | 2 |
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| 64.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.3939393939393939 | | totalSentences | 66 | | uniqueOpeners | 26 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 47 | | matches | | 0 | "More like recognition." | | 1 | "Just the empty tunnel, the" |
| | ratio | 0.043 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 47 | | matches | | 0 | "He nodded toward the body" | | 1 | "She crouched, her knees popping." | | 2 | "His eyes were open, fixed" | | 3 | "She reached out, tilting his" | | 4 | "She stood, sweeping the beam" | | 5 | "Her torch caught on something" | | 6 | "She stepped down, careful not" | | 7 | "She pocketed it" | | 8 | "He turned away, muttering into" | | 9 | "She turned, torch raised, but" | | 10 | "She snapped the compass shut" | | 11 | "She didn’t answer." | | 12 | "It pointed straight at the" |
| | ratio | 0.277 | |
| 34.47% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 47 | | matches | | 0 | "The abandoned Tube station smelled" | | 1 | "Quinn stepped over the police" | | 2 | "The beam of her torch" | | 3 | "Detective Sergeant Cole stood near" | | 4 | "He nodded toward the body" | | 5 | "A man in a cheap" | | 6 | "She crouched, her knees popping." | | 7 | "The victim’s fingers were clean," | | 8 | "Quinn’s torch flickered over the" | | 9 | "His eyes were open, fixed" | | 10 | "She reached out, tilting his" | | 11 | "The skin at his temple" | | 12 | "Cole exhaled through his nose." | | 13 | "She stood, sweeping the beam" | | 14 | "The tiles were dry." | | 15 | "Cole’s jaw tightened." | | 16 | "Quinn didn’t answer." | | 17 | "Her torch caught on something" | | 18 | "She stepped down, careful not" | | 19 | "A small brass compass, its" |
| | ratio | 0.851 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 15 | | technicalSentenceCount | 1 | | matches | | 0 | "A man in a cheap suit, his tie still knotted tight, one arm flung out as if reaching for something just beyond his fingertips." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 20 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0.5 | | effectiveRatio | 0.1 | |