| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "She crouched once [once]" |
| | dialogueSentences | 32 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.083 | | effectiveRatio | 0.063 | |
| 95.16% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1034 | | totalAiIsmAdverbs | 1 | | 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) | |
| 80.66% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1034 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "weight" | | 1 | "standard" | | 2 | "churn" | | 3 | "churning" |
| |
| 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 | 95 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 95 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1034 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 82.27% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 812 | | uniqueNames | 5 | | maxNameDensity | 1.35 | | worstName | "Quinn" | | maxWindowNameDensity | 2 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Davies | 5 | | Quinn | 11 | | Leather | 1 | | Morris | 3 |
| | persons | | 0 | "Davies" | | 1 | "Quinn" | | 2 | "Leather" | | 3 | "Morris" |
| | places | (empty) | | globalScore | 0.823 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | 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 | 1034 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 115 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 46 | | mean | 22.48 | | std | 19.81 | | cv | 0.881 | | sampleLengths | | 0 | 11 | | 1 | 46 | | 2 | 28 | | 3 | 3 | | 4 | 31 | | 5 | 52 | | 6 | 9 | | 7 | 25 | | 8 | 3 | | 9 | 10 | | 10 | 58 | | 11 | 30 | | 12 | 7 | | 13 | 57 | | 14 | 9 | | 15 | 41 | | 16 | 3 | | 17 | 5 | | 18 | 10 | | 19 | 57 | | 20 | 13 | | 21 | 54 | | 22 | 6 | | 23 | 17 | | 24 | 18 | | 25 | 64 | | 26 | 13 | | 27 | 38 | | 28 | 3 | | 29 | 56 | | 30 | 8 | | 31 | 47 | | 32 | 4 | | 33 | 5 | | 34 | 1 | | 35 | 6 | | 36 | 32 | | 37 | 5 | | 38 | 1 | | 39 | 55 | | 40 | 9 | | 41 | 37 | | 42 | 11 | | 43 | 7 | | 44 | 18 | | 45 | 11 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 95 | | matches | (empty) | |
| 65.77% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 149 | | matches | | 0 | "was lying" | | 1 | "was, crawling" | | 2 | "was dying" |
| |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 115 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 815 | | adjectiveStacks | 1 | | stackExamples | | 0 | "sweet burnt-sugar smell" |
| | adverbCount | 16 | | adverbRatio | 0.0196319018404908 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0036809815950920245 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 8.99 | | std | 6.9 | | cv | 0.768 | | sampleLengths | | 0 | 11 | | 1 | 7 | | 2 | 20 | | 3 | 2 | | 4 | 2 | | 5 | 15 | | 6 | 15 | | 7 | 13 | | 8 | 3 | | 9 | 17 | | 10 | 14 | | 11 | 2 | | 12 | 12 | | 13 | 14 | | 14 | 6 | | 15 | 18 | | 16 | 9 | | 17 | 3 | | 18 | 1 | | 19 | 6 | | 20 | 15 | | 21 | 3 | | 22 | 10 | | 23 | 21 | | 24 | 8 | | 25 | 2 | | 26 | 23 | | 27 | 4 | | 28 | 4 | | 29 | 15 | | 30 | 11 | | 31 | 7 | | 32 | 17 | | 33 | 12 | | 34 | 4 | | 35 | 24 | | 36 | 5 | | 37 | 4 | | 38 | 5 | | 39 | 1 | | 40 | 6 | | 41 | 21 | | 42 | 3 | | 43 | 5 | | 44 | 3 | | 45 | 5 | | 46 | 6 | | 47 | 4 | | 48 | 6 | | 49 | 17 |
| |
| 72.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.46956521739130436 | | totalSentences | 115 | | uniqueOpeners | 54 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 81 | | matches | | 0 | "He tilted his head at" | | 1 | "Her knees protested, eighteen years" | | 2 | "She nodded at the woman's" | | 3 | "She'd learned a long time" | | 4 | "She understood the urge." | | 5 | "She studied the woman's face." | | 6 | "She breathed it in, cataloguing" | | 7 | "She had smelled it once" | | 8 | "She'd never forgotten it." | | 9 | "She didn't bag it" | | 10 | "He pointed up the platform," | | 11 | "Her torch raked the floor." | | 12 | "Her own prints, Davies's prints," | | 13 | "She stopped beside the corpse" | | 14 | "She crouched once more, this" | | 15 | "She angled the torch into" | | 16 | "It had a grain to" | | 17 | "He came, grumbling, and his" | | 18 | "He went quiet." | | 19 | "She watched his face change," |
| | ratio | 0.284 | |
| 77.28% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 62 | | totalSentences | 81 | | matches | | 0 | "The body lay where the" | | 1 | "Quinn ducked under the tape" | | 2 | "Camden's abandoned Tube station breathed" | | 3 | "Sergeant Davies crouched by the" | | 4 | "He tilted his head at" | | 5 | "Her knees protested, eighteen years" | | 6 | "The dead woman wore a" | | 7 | "Quinn lifted the sleeve with" | | 8 | "A single puncture." | | 9 | "The skin around it pale," | | 10 | "She nodded at the woman's" | | 11 | "Leather boots, low-heeled, but the" | | 12 | "The platform floor wore a" | | 13 | "Davies shifted his weight." | | 14 | "The torch beam wobbled across" | | 15 | "Quinn stayed where she was" | | 16 | "She'd learned a long time" | | 17 | "Davies wanted a story that" | | 18 | "She understood the urge." | | 19 | "The scene was lying." |
| | ratio | 0.765 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 81 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 83.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn stood, joints cracking, and walked the line of the platform" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "She breathed (breathe)" |
| | dialogueSentences | 32 | | tagDensity | 0.094 | | leniency | 0.188 | | rawRatio | 0.333 | | effectiveRatio | 0.063 | |