| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "Quinn stepped carefully [carefully]" | | 1 | "she said carefully [carefully]" |
| | dialogueSentences | 50 | | tagDensity | 0.34 | | leniency | 0.68 | | rawRatio | 0.118 | | effectiveRatio | 0.08 | |
| 82.91% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1170 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "carefully" | | 1 | "lazily" | | 2 | "suddenly" |
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| 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) | |
| 44.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1170 | | totalAiIsms | 13 | | found | | | highlights | | 0 | "perfect" | | 1 | "depths" | | 2 | "glint" | | 3 | "etched" | | 4 | "magnetic" | | 5 | "standard" | | 6 | "methodical" | | 7 | "traced" | | 8 | "chill" | | 9 | "flickered" | | 10 | "footsteps" | | 11 | "echoing" |
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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 | 85 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 85 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 118 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1167 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 44.74% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 760 | | uniqueNames | 8 | | maxNameDensity | 2.11 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Victorian | 1 | | Town | 1 | | Quinn | 16 | | Davies | 8 | | Veil | 1 | | Market | 1 | | Morris | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Davies" | | 2 | "Morris" |
| | places | | | globalScore | 0.447 | | windowScore | 0.5 | |
| 53.85% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 2 | | matches | | 0 | "explorers and, apparently, murderers" | | 1 | "looked like the point of a knife" |
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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 | 1167 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 22.02 | | std | 16.31 | | cv | 0.741 | | sampleLengths | | 0 | 5 | | 1 | 57 | | 2 | 18 | | 3 | 42 | | 4 | 5 | | 5 | 45 | | 6 | 56 | | 7 | 8 | | 8 | 17 | | 9 | 2 | | 10 | 1 | | 11 | 34 | | 12 | 34 | | 13 | 14 | | 14 | 26 | | 15 | 8 | | 16 | 35 | | 17 | 37 | | 18 | 4 | | 19 | 32 | | 20 | 8 | | 21 | 47 | | 22 | 36 | | 23 | 6 | | 24 | 26 | | 25 | 2 | | 26 | 17 | | 27 | 46 | | 28 | 6 | | 29 | 8 | | 30 | 17 | | 31 | 2 | | 32 | 12 | | 33 | 49 | | 34 | 24 | | 35 | 5 | | 36 | 35 | | 37 | 9 | | 38 | 36 | | 39 | 1 | | 40 | 30 | | 41 | 38 | | 42 | 28 | | 43 | 2 | | 44 | 38 | | 45 | 38 | | 46 | 6 | | 47 | 29 | | 48 | 16 | | 49 | 38 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 85 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 119 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 118 | | ratio | 0 | | matches | (empty) | |
| 93.55% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 760 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 36 | | adverbRatio | 0.04736842105263158 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.011842105263157895 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 118 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 118 | | mean | 9.89 | | std | 7.04 | | cv | 0.712 | | sampleLengths | | 0 | 5 | | 1 | 18 | | 2 | 20 | | 3 | 4 | | 4 | 5 | | 5 | 5 | | 6 | 5 | | 7 | 8 | | 8 | 10 | | 9 | 4 | | 10 | 19 | | 11 | 19 | | 12 | 5 | | 13 | 29 | | 14 | 16 | | 15 | 13 | | 16 | 9 | | 17 | 26 | | 18 | 8 | | 19 | 5 | | 20 | 3 | | 21 | 17 | | 22 | 2 | | 23 | 1 | | 24 | 11 | | 25 | 23 | | 26 | 7 | | 27 | 10 | | 28 | 2 | | 29 | 7 | | 30 | 8 | | 31 | 6 | | 32 | 8 | | 33 | 19 | | 34 | 7 | | 35 | 8 | | 36 | 3 | | 37 | 19 | | 38 | 13 | | 39 | 2 | | 40 | 20 | | 41 | 4 | | 42 | 1 | | 43 | 10 | | 44 | 4 | | 45 | 9 | | 46 | 23 | | 47 | 6 | | 48 | 2 | | 49 | 12 |
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| 87.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.559322033898305 | | totalSentences | 118 | | uniqueOpeners | 66 | |
| 46.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 72 | | matches | | | ratio | 0.014 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 10 | | totalSentences | 72 | | matches | | 0 | "She didn't turn around." | | 1 | "She ignored him." | | 2 | "She turned back to the" | | 3 | "It wasn't even a fixed" | | 4 | "She'd heard rumours during the" | | 5 | "She'd dismissed it as supernatural" | | 6 | "she said carefully" | | 7 | "She pocketed the evidence bag" | | 8 | "She drew her torch back" | | 9 | "Its needle pointed directly into" |
| | ratio | 0.139 | |
| 29.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 72 | | matches | | 0 | "The chalk outline looked wrong." | | 1 | "Quinn crouched beside it, her" | | 2 | "The body had been removed" | | 3 | "Arms positioned too neatly." | | 4 | "Legs at perfect parallel angles." | | 5 | "Davies said from somewhere behind" | | 6 | "She didn't turn around." | | 7 | "The platform stretched into darkness" | | 8 | "Camden Town's forgotten sister station," | | 9 | "Davies consulted his notebook, the" | | 10 | "Quinn pulled a penlight from" | | 11 | "Dust particles hung in the" | | 12 | "The chalk outline sat at" | | 13 | "Symbols marked the outer ring" | | 14 | "Quinn stood, her knees protesting" | | 15 | "Davies moved closer, his torch" | | 16 | "Hesitation marks where the knife" | | 17 | "A genuine practitioner would have" | | 18 | "Quinn stepped carefully over the" | | 19 | "She ignored him." |
| | ratio | 0.861 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 72 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 1 | | matches | | 0 | "The official report that blamed everything on gas leaks and mass hysteria." |
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| 66.18% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 2 | | matches | | 0 | "Davies consulted, the pages rustling in the damp air" | | 1 | "Quinn crouched, her torch revealing something she'd missed on first inspection" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 1 | | fancyTags | | 0 | "Davies observed (observe)" |
| | dialogueSentences | 50 | | tagDensity | 0.16 | | leniency | 0.32 | | rawRatio | 0.125 | | effectiveRatio | 0.04 | |