| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 1 | | adverbTags | | 0 | "Silas countered softly [softly]" |
| | dialogueSentences | 57 | | tagDensity | 0.368 | | leniency | 0.737 | | rawRatio | 0.048 | | effectiveRatio | 0.035 | |
| 80.59% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1288 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "softly" | | 2 | "slightly" | | 3 | "very" |
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| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 49.53% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1288 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "perfect" | | 1 | "whisper" | | 2 | "weight" | | 3 | "velvet" | | 4 | "tension" | | 5 | "tracing" | | 6 | "throbbed" | | 7 | "shattered" | | 8 | "charm" | | 9 | "flickered" | | 10 | "warmth" |
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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 | 64 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 64 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1288 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 757 | | uniqueNames | 10 | | maxNameDensity | 2.25 | | worstName | "Silas" | | maxWindowNameDensity | 4 | | worstWindowName | "Silas" | | discoveredNames | | Irish | 2 | | Soho | 1 | | Raven | 1 | | Nest | 1 | | Europe | 1 | | Silas | 17 | | Evan | 1 | | Prague | 1 | | Vauxhall | 1 | | Cross | 1 |
| | persons | | | places | | 0 | "Soho" | | 1 | "Europe" | | 2 | "Prague" | | 3 | "Vauxhall" |
| | globalScore | 0.377 | | windowScore | 0.333 | |
| 98.98% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like the future I was running towa" |
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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 | 1288 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 49 | | mean | 26.29 | | std | 20.06 | | cv | 0.763 | | sampleLengths | | 0 | 7 | | 1 | 40 | | 2 | 28 | | 3 | 68 | | 4 | 32 | | 5 | 60 | | 6 | 42 | | 7 | 5 | | 8 | 49 | | 9 | 45 | | 10 | 2 | | 11 | 2 | | 12 | 33 | | 13 | 2 | | 14 | 29 | | 15 | 8 | | 16 | 71 | | 17 | 32 | | 18 | 3 | | 19 | 39 | | 20 | 6 | | 21 | 38 | | 22 | 7 | | 23 | 11 | | 24 | 48 | | 25 | 32 | | 26 | 9 | | 27 | 41 | | 28 | 2 | | 29 | 9 | | 30 | 5 | | 31 | 56 | | 32 | 6 | | 33 | 13 | | 34 | 20 | | 35 | 38 | | 36 | 29 | | 37 | 2 | | 38 | 22 | | 39 | 58 | | 40 | 14 | | 41 | 28 | | 42 | 5 | | 43 | 22 | | 44 | 32 | | 45 | 73 | | 46 | 18 | | 47 | 30 | | 48 | 17 |
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| 94.30% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 64 | | matches | | 0 | "was buried" | | 1 | "was forgotten" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 124 | | matches | | 0 | "was drumming" | | 1 | "was whispering" | | 2 | "was running" | | 3 | "was sitting" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 100 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 760 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 12 | | adverbRatio | 0.015789473684210527 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.009210526315789473 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 12.88 | | std | 7.85 | | cv | 0.609 | | sampleLengths | | 0 | 7 | | 1 | 22 | | 2 | 10 | | 3 | 8 | | 4 | 6 | | 5 | 22 | | 6 | 9 | | 7 | 10 | | 8 | 30 | | 9 | 19 | | 10 | 6 | | 11 | 21 | | 12 | 5 | | 13 | 22 | | 14 | 18 | | 15 | 20 | | 16 | 16 | | 17 | 17 | | 18 | 9 | | 19 | 5 | | 20 | 22 | | 21 | 27 | | 22 | 12 | | 23 | 8 | | 24 | 25 | | 25 | 2 | | 26 | 2 | | 27 | 14 | | 28 | 19 | | 29 | 2 | | 30 | 12 | | 31 | 17 | | 32 | 8 | | 33 | 20 | | 34 | 18 | | 35 | 25 | | 36 | 8 | | 37 | 27 | | 38 | 5 | | 39 | 3 | | 40 | 17 | | 41 | 22 | | 42 | 6 | | 43 | 13 | | 44 | 25 | | 45 | 3 | | 46 | 4 | | 47 | 11 | | 48 | 16 | | 49 | 14 |
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| 34.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.31 | | totalSentences | 100 | | uniqueOpeners | 31 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 48.57% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 24 | | totalSentences | 56 | | matches | | 0 | "He slowly set the pint" | | 1 | "His voice was a dry" | | 2 | "I pulled the wet hood" | | 3 | "His hazel eyes, sharp as" | | 4 | "I reached for the pint" | | 5 | "He picked up a rag" | | 6 | "I said, taking a long" | | 7 | "He stopped wiping and looked" | | 8 | "It was a reflex he" | | 9 | "I said, gesturing to the" | | 10 | "I leaned in closer, my" | | 11 | "I looked toward the bookshelf" | | 12 | "He poured a finger into" | | 13 | "He raised his glass slightly." | | 14 | "He drank it in one" | | 15 | "I said, the confession slipping" | | 16 | "I stared at him." | | 17 | "He was a merchant now," | | 18 | "He looked ancient." | | 19 | "He looked like the future" |
| | ratio | 0.429 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 56 | | matches | | 0 | "Silas didn't stop the stream" | | 1 | "He slowly set the pint" | | 2 | "The foam settled into a" | | 3 | "His voice was a dry" | | 4 | "I pulled the wet hood" | | 5 | "Strands of straight shoulder-length black" | | 6 | "The distinctive green neon sign" | | 7 | "His hazel eyes, sharp as" | | 8 | "I reached for the pint" | | 9 | "The movement tugged my sleeve" | | 10 | "Silas leaned his weight onto" | | 11 | "The limp was more pronounced" | | 12 | "He picked up a rag" | | 13 | "I said, taking a long" | | 14 | "The bitterness coated my tongue," | | 15 | "Silas said, his hand dragging" | | 16 | "He stopped wiping and looked" | | 17 | "A couple in the corner" | | 18 | "A man in a tailored" | | 19 | "Silas watched them for a" |
| | ratio | 0.964 | |
| 89.29% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 56 | | matches | | 0 | "Before I could answer, the" |
| | ratio | 0.018 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 3 | | matches | | 0 | "A man in a tailored suit was whispering into a woman's ear, his hand sliding up her thigh." | | 1 | "This version of Silas was colder, stripped of the charm that made him a legend in the corridors of Vauxhall Cross." | | 2 | "The green neon light flickered, casting a sickly chartreuse glow across his face, highlighting the deep lines around his eyes." |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 3 | | matches | | 0 | "Silas said, his hand dragging the rag in slow, precise circles" | | 1 | "I leaned, my fingers tracing the silver rim of the pint glass" | | 2 | "I said, the confession slipping out before I could find the brakes" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 57 | | tagDensity | 0.246 | | leniency | 0.491 | | rawRatio | 0.071 | | effectiveRatio | 0.035 | |