| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 1 | | adverbTags | | 0 | "the voice said again [again]" |
| | dialogueSentences | 83 | | tagDensity | 0.133 | | leniency | 0.265 | | rawRatio | 0.091 | | effectiveRatio | 0.024 | |
| 96.51% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1431 | | 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) | |
| 75.54% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1431 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "weight" | | 1 | "traced" | | 2 | "measured" | | 3 | "quivered" | | 4 | "aligned" | | 5 | "trembled" | | 6 | "flickered" |
| |
| 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 | 128 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 128 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 200 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1431 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 31.07% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1009 | | uniqueNames | 6 | | maxNameDensity | 2.38 | | worstName | "Mercer" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Mercer" | | discoveredNames | | Mercer | 24 | | Camden | 1 | | Veil | 1 | | Market | 1 | | Quinn | 18 | | Pell | 4 |
| | persons | | 0 | "Mercer" | | 1 | "Veil" | | 2 | "Market" | | 3 | "Quinn" | | 4 | "Pell" |
| | places | (empty) | | globalScore | 0.311 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 88 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a man had struck the wall har" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1431 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 200 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 109 | | mean | 13.13 | | std | 13.7 | | cv | 1.044 | | sampleLengths | | 0 | 6 | | 1 | 36 | | 2 | 4 | | 3 | 4 | | 4 | 19 | | 5 | 66 | | 6 | 10 | | 7 | 64 | | 8 | 6 | | 9 | 30 | | 10 | 2 | | 11 | 6 | | 12 | 13 | | 13 | 4 | | 14 | 41 | | 15 | 3 | | 16 | 8 | | 17 | 42 | | 18 | 16 | | 19 | 8 | | 20 | 6 | | 21 | 39 | | 22 | 4 | | 23 | 7 | | 24 | 10 | | 25 | 26 | | 26 | 10 | | 27 | 3 | | 28 | 4 | | 29 | 7 | | 30 | 33 | | 31 | 5 | | 32 | 5 | | 33 | 4 | | 34 | 18 | | 35 | 7 | | 36 | 9 | | 37 | 4 | | 38 | 10 | | 39 | 4 | | 40 | 2 | | 41 | 43 | | 42 | 4 | | 43 | 9 | | 44 | 1 | | 45 | 6 | | 46 | 5 | | 47 | 7 | | 48 | 23 | | 49 | 7 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 128 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 173 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 200 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1011 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 31 | | adverbRatio | 0.03066271018793274 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003956478733926805 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 200 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 200 | | mean | 7.16 | | std | 4.44 | | cv | 0.621 | | sampleLengths | | 0 | 6 | | 1 | 12 | | 2 | 24 | | 3 | 4 | | 4 | 4 | | 5 | 4 | | 6 | 15 | | 7 | 12 | | 8 | 16 | | 9 | 24 | | 10 | 8 | | 11 | 3 | | 12 | 3 | | 13 | 10 | | 14 | 7 | | 15 | 10 | | 16 | 15 | | 17 | 13 | | 18 | 19 | | 19 | 6 | | 20 | 13 | | 21 | 17 | | 22 | 2 | | 23 | 6 | | 24 | 9 | | 25 | 4 | | 26 | 4 | | 27 | 5 | | 28 | 10 | | 29 | 18 | | 30 | 8 | | 31 | 3 | | 32 | 7 | | 33 | 1 | | 34 | 8 | | 35 | 12 | | 36 | 7 | | 37 | 15 | | 38 | 5 | | 39 | 11 | | 40 | 8 | | 41 | 6 | | 42 | 3 | | 43 | 7 | | 44 | 9 | | 45 | 4 | | 46 | 16 | | 47 | 4 | | 48 | 2 | | 49 | 5 |
| |
| 50.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.315 | | totalSentences | 200 | | uniqueOpeners | 63 | |
| 29.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 112 | | matches | | 0 | "Then a hand reached through" |
| | ratio | 0.009 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 112 | | matches | | 0 | "Their owners had drawn back" | | 1 | "Her worn leather watch sat" | | 2 | "She checked the hands, then" | | 3 | "She crouched by the chair." | | 4 | "It started at shoulder height" | | 5 | "Its centre still shone wet" | | 6 | "She didn’t touch it." | | 7 | "His left fist clutched something" | | 8 | "She crouched again, careful not" | | 9 | "She pulled a pair of" | | 10 | "He’d marked the impressions with" | | 11 | "They travelled towards the wall," | | 12 | "She traced the line without" | | 13 | "She measured the distance with" | | 14 | "It was narrow, no wider" | | 15 | "She looked at Pell’s hands" | | 16 | "His nails held pale grit," | | 17 | "His gaze stayed on the" | | 18 | "Its tip aligned with a" | | 19 | "She moved close." |
| | ratio | 0.223 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 104 | | totalSentences | 112 | | matches | | 0 | "DC Mercer froze with one" | | 1 | "Mercer lowered his hand." | | 2 | "Quinn stepped over the cordon" | | 3 | "The air smelled of damp" | | 4 | "Stalls crowded the platform behind" | | 5 | "Their owners had drawn back" | | 6 | "The Veil Market had shut" | | 7 | "Quinn adjusted the cuff of" | | 8 | "Her worn leather watch sat" | | 9 | "She checked the hands, then" | | 10 | "Military precision in every movement," | | 11 | "The old roundel above the" | | 12 | "Mercer held out a tablet" | | 13 | "Quinn glanced at the three" | | 14 | "She crouched by the chair." | | 15 | "The body’s skin had gone" | | 16 | "A thin line of blood" | | 17 | "The platform tiles around Pell’s" | | 18 | "Mercer gestured to the wall" | | 19 | "A broad red smear climbed" |
| | ratio | 0.929 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 112 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 1 | | matches | | 0 | "Stalls crowded the platform behind the forensic tents: black awnings, locked cabinets, a row of glass jars that held things with too many joints." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 83 | | tagDensity | 0.12 | | leniency | 0.241 | | rawRatio | 0 | | effectiveRatio | 0 | |