| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said finally [finally]" |
| | dialogueSentences | 49 | | tagDensity | 0.143 | | leniency | 0.286 | | rawRatio | 0.143 | | effectiveRatio | 0.041 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1274 | | 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) | |
| 68.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1274 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "familiar" | | 1 | "traced" | | 2 | "measured" | | 3 | "etched" | | 4 | "standard" | | 5 | "footsteps" | | 6 | "tracing" | | 7 | "weight" |
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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 | 81 | | matches | (empty) | |
| 89.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 81 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 121 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1274 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 81.43% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 875 | | uniqueNames | 6 | | maxNameDensity | 1.37 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Foster" | | discoveredNames | | Quinn | 12 | | Foster | 11 | | Tube | 1 | | Limehouse | 1 | | Morris | 1 | | Thames | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Foster" | | 2 | "Morris" |
| | places | | | globalScore | 0.814 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed thicker near the ticket barrier, resistant, like pushing through water" |
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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 | 1274 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 121 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 61 | | mean | 20.89 | | std | 17.53 | | cv | 0.839 | | sampleLengths | | 0 | 22 | | 1 | 29 | | 2 | 24 | | 3 | 18 | | 4 | 3 | | 5 | 10 | | 6 | 52 | | 7 | 55 | | 8 | 4 | | 9 | 5 | | 10 | 12 | | 11 | 6 | | 12 | 39 | | 13 | 8 | | 14 | 5 | | 15 | 5 | | 16 | 44 | | 17 | 6 | | 18 | 5 | | 19 | 55 | | 20 | 3 | | 21 | 36 | | 22 | 5 | | 23 | 36 | | 24 | 5 | | 25 | 21 | | 26 | 51 | | 27 | 4 | | 28 | 20 | | 29 | 41 | | 30 | 4 | | 31 | 15 | | 32 | 30 | | 33 | 8 | | 34 | 4 | | 35 | 2 | | 36 | 26 | | 37 | 4 | | 38 | 17 | | 39 | 32 | | 40 | 17 | | 41 | 7 | | 42 | 65 | | 43 | 4 | | 44 | 53 | | 45 | 4 | | 46 | 9 | | 47 | 52 | | 48 | 29 | | 49 | 9 |
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| 74.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 81 | | matches | | 0 | "been gutted" | | 1 | "been modified" | | 2 | "been disturbed" | | 3 | "was etched" | | 4 | "been positioned" | | 5 | "been looped" | | 6 | "being made" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 155 | | matches | | 0 | "was already walking" | | 1 | "weren't holding" | | 2 | "was spinning" | | 3 | "were still being" | | 4 | "was falling" | | 5 | "was pushing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 121 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 877 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.03534777651083238 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.010262257696693273 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 121 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 121 | | mean | 10.53 | | std | 7.03 | | cv | 0.668 | | sampleLengths | | 0 | 22 | | 1 | 6 | | 2 | 6 | | 3 | 17 | | 4 | 9 | | 5 | 15 | | 6 | 9 | | 7 | 9 | | 8 | 3 | | 9 | 10 | | 10 | 16 | | 11 | 17 | | 12 | 7 | | 13 | 2 | | 14 | 2 | | 15 | 8 | | 16 | 12 | | 17 | 15 | | 18 | 15 | | 19 | 13 | | 20 | 4 | | 21 | 2 | | 22 | 3 | | 23 | 12 | | 24 | 6 | | 25 | 16 | | 26 | 6 | | 27 | 17 | | 28 | 8 | | 29 | 5 | | 30 | 5 | | 31 | 4 | | 32 | 12 | | 33 | 11 | | 34 | 17 | | 35 | 6 | | 36 | 5 | | 37 | 10 | | 38 | 12 | | 39 | 10 | | 40 | 3 | | 41 | 12 | | 42 | 8 | | 43 | 3 | | 44 | 5 | | 45 | 19 | | 46 | 12 | | 47 | 5 | | 48 | 28 | | 49 | 8 |
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| 78.24% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.5041322314049587 | | totalSentences | 121 | | uniqueOpeners | 61 | |
| 44.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 75 | | matches | | 0 | "Too dark, too thick, and" |
| | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 75 | | matches | | 0 | "She shifted her torch beam" | | 1 | "She crouched, her knees finding" | | 2 | "Their torches carved pale paths" | | 3 | "He followed her torch to" | | 4 | "His jaw worked for a" | | 5 | "She ignored him and moved" | | 6 | "She stood, brushing dust from" | | 7 | "She stopped short of the" | | 8 | "She pointed her torch to" | | 9 | "She used a pen to" | | 10 | "She sealed the bag and" | | 11 | "She pulled out her phone" | | 12 | "he said finally, and climbed" | | 13 | "She hadn't touched it." |
| | ratio | 0.187 | |
| 60.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 75 | | matches | | 0 | "The cable bit into the" | | 1 | "She shifted her torch beam" | | 2 | "The pooling beneath him was" | | 3 | "DC Foster consulted his notepad," | | 4 | "Quinn followed his gesture to" | | 5 | "Rows of punctures dotted the" | | 6 | "She crouched, her knees finding" | | 7 | "The worn leather watch on" | | 8 | "The abandoned Tube station stretched" | | 9 | "The old platforms had been" | | 10 | "Their torches carved pale paths" | | 11 | "Quinn traced the light along" | | 12 | "The barrier itself had been" | | 13 | "Someone had welded hooks into" | | 14 | "Foster's pencil stopped moving." | | 15 | "He followed her torch to" | | 16 | "His jaw worked for a" | | 17 | "She ignored him and moved" | | 18 | "The dust had been disturbed" | | 19 | "The second set belonged to" |
| | ratio | 0.8 | |
| 66.67% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 75 | | matches | | 0 | "Whoever brought him here had" |
| | ratio | 0.013 | |
| 89.29% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 40 | | technicalSentenceCount | 3 | | matches | | 0 | "And something else, half-hidden beneath a cloth that might once have been white." | | 1 | "The compass was small, brass, with a patina of verdigris that spoke of genuine age rather than artificial distressing." | | 2 | "But the needle was spinning now, slow and deliberate, pointing away from the platforms, away from the exit, toward a section of wall that looked exactly like ev…" |
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| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 1 | | matches | | 0 | "Foster took, his breathing quickening" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 49 | | tagDensity | 0.02 | | leniency | 0.041 | | rawRatio | 0 | | effectiveRatio | 0 | |