| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "She crouched again [again]" |
| | dialogueSentences | 38 | | tagDensity | 0.395 | | leniency | 0.789 | | rawRatio | 0.067 | | effectiveRatio | 0.053 | |
| 91.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1141 | | 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) | |
| 78.09% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1141 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "chill" | | 1 | "etched" | | 2 | "trembled" | | 3 | "mechanical" |
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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) | |
| 97.51% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 63 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 86 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1141 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 759 | | uniqueNames | 6 | | maxNameDensity | 1.19 | | worstName | "Pryce" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Pryce" | | discoveredNames | | Camden | 1 | | Road | 1 | | Harlow | 1 | | Quinn | 6 | | Pryce | 9 | | Tiny | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Pryce" | | 3 | "Tiny" |
| | places | | | globalScore | 0.907 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1141 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 86 | | matches | | 0 | "understood that somebody" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 32.6 | | std | 23.42 | | cv | 0.718 | | sampleLengths | | 0 | 71 | | 1 | 28 | | 2 | 8 | | 3 | 5 | | 4 | 52 | | 5 | 43 | | 6 | 12 | | 7 | 66 | | 8 | 37 | | 9 | 21 | | 10 | 7 | | 11 | 56 | | 12 | 14 | | 13 | 73 | | 14 | 3 | | 15 | 44 | | 16 | 19 | | 17 | 12 | | 18 | 43 | | 19 | 15 | | 20 | 74 | | 21 | 17 | | 22 | 32 | | 23 | 22 | | 24 | 45 | | 25 | 8 | | 26 | 2 | | 27 | 30 | | 28 | 15 | | 29 | 87 | | 30 | 27 | | 31 | 27 | | 32 | 14 | | 33 | 70 | | 34 | 42 |
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| 82.99% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 63 | | matches | | 0 | "been painted" | | 1 | "been pressed" | | 2 | "been wiped" | | 3 | "been sealed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 120 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 86 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 759 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.034255599472990776 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007905138339920948 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 86 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 86 | | mean | 13.27 | | std | 8.9 | | cv | 0.67 | | sampleLengths | | 0 | 19 | | 1 | 18 | | 2 | 10 | | 3 | 8 | | 4 | 16 | | 5 | 17 | | 6 | 11 | | 7 | 8 | | 8 | 5 | | 9 | 12 | | 10 | 15 | | 11 | 16 | | 12 | 9 | | 13 | 24 | | 14 | 6 | | 15 | 13 | | 16 | 12 | | 17 | 32 | | 18 | 2 | | 19 | 11 | | 20 | 4 | | 21 | 17 | | 22 | 5 | | 23 | 32 | | 24 | 5 | | 25 | 6 | | 26 | 10 | | 27 | 7 | | 28 | 9 | | 29 | 9 | | 30 | 19 | | 31 | 7 | | 32 | 12 | | 33 | 8 | | 34 | 6 | | 35 | 45 | | 36 | 24 | | 37 | 4 | | 38 | 3 | | 39 | 44 | | 40 | 10 | | 41 | 9 | | 42 | 9 | | 43 | 3 | | 44 | 7 | | 45 | 10 | | 46 | 8 | | 47 | 18 | | 48 | 3 | | 49 | 12 |
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| 82.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5348837209302325 | | totalSentences | 86 | | uniqueOpeners | 46 | |
| 59.52% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 56 | | matches | | 0 | "Just cracked tiles and a" |
| | ratio | 0.018 | |
| 91.43% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 56 | | matches | | 0 | "It wasn't the damp chill" | | 1 | "It was dry and metallic," | | 2 | "He lifted the cup at" | | 3 | "She stepped past him and" | | 4 | "His eyes were open." | | 5 | "His mouth was slightly open" | | 6 | "She did not touch it" | | 7 | "She tilted her torch across" | | 8 | "They stopped a metre short" | | 9 | "She ran her light along" | | 10 | "She leaned closer, careful of" | | 11 | "She turned the casing so" | | 12 | "She let the compass rest" | | 13 | "She glanced at her own" | | 14 | "She pointed with her pen" | | 15 | "She didn't answer straight away." | | 16 | "She stood and walked the" | | 17 | "She crouched again beside the" |
| | ratio | 0.321 | |
| 22.50% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 56 | | matches | | 0 | "The hoarding behind Camden Road" | | 1 | "Someone had prised one plank" | | 2 | "The air changed before her" | | 3 | "It wasn't the damp chill" | | 4 | "It was dry and metallic," | | 5 | "The constable at the foot" | | 6 | "The station had died sometime" | | 7 | "Cream and terracotta, a name" | | 8 | "Water dripped somewhere in the" | | 9 | "Quinn counted four before she" | | 10 | "Gareth Pryce stood with his" | | 11 | "He lifted the cup at" | | 12 | "She stepped past him and" | | 13 | "The man sat against the" | | 14 | "His eyes were open." | | 15 | "His mouth was slightly open" | | 16 | "Quinn crouched beside the body." | | 17 | "She did not touch it" | | 18 | "She tilted her torch across" | | 19 | "The grime lay thick enough" |
| | ratio | 0.875 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 95.24% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 2 | | matches | | 0 | "Gareth Pryce stood with his back to the rails, a paper cup of coffee in one hand, as though the whole thing bored him." | | 1 | "Grey suit, good cut, a wedding band that caught her torch." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 38 | | tagDensity | 0.184 | | leniency | 0.368 | | rawRatio | 0 | | effectiveRatio | 0 | |