| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 25 | | adverbTagCount | 1 | | adverbTags | | 0 | "Eva said softly [softly]" |
| | dialogueSentences | 78 | | tagDensity | 0.321 | | leniency | 0.641 | | rawRatio | 0.04 | | effectiveRatio | 0.026 | |
| 97.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1982 | | 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) | |
| 84.86% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1982 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "chill" | | 1 | "pulse" | | 2 | "etched" | | 3 | "pristine" | | 4 | "churned" |
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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 | 160 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 160 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 213 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1979 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 30 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 78 | | wordCount | 1421 | | uniqueNames | 11 | | maxNameDensity | 2.25 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 32 | | Veil | 1 | | Market | 2 | | Camden | 1 | | Calder | 17 | | Kowalski | 1 | | Sore | 9 | | Eva | 12 | | Morris | 1 | | Nessa | 1 | | Pell | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Veil" | | 2 | "Market" | | 3 | "Calder" | | 4 | "Kowalski" | | 5 | "Sore" | | 6 | "Eva" | | 7 | "Morris" | | 8 | "Pell" |
| | places | (empty) | | globalScore | 0.374 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 112 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like a ritual sign, if you did not" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.505 | | wordCount | 1979 | | matches | | 0 | "Not pristine, but clean enough to show their scuffed leather clearly" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 213 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 105 | | mean | 18.85 | | std | 15.28 | | cv | 0.811 | | sampleLengths | | 0 | 15 | | 1 | 56 | | 2 | 57 | | 3 | 24 | | 4 | 1 | | 5 | 38 | | 6 | 52 | | 7 | 25 | | 8 | 3 | | 9 | 32 | | 10 | 6 | | 11 | 9 | | 12 | 43 | | 13 | 6 | | 14 | 10 | | 15 | 14 | | 16 | 12 | | 17 | 25 | | 18 | 9 | | 19 | 4 | | 20 | 9 | | 21 | 43 | | 22 | 29 | | 23 | 3 | | 24 | 21 | | 25 | 3 | | 26 | 14 | | 27 | 4 | | 28 | 7 | | 29 | 9 | | 30 | 40 | | 31 | 23 | | 32 | 10 | | 33 | 11 | | 34 | 38 | | 35 | 6 | | 36 | 3 | | 37 | 5 | | 38 | 6 | | 39 | 9 | | 40 | 9 | | 41 | 42 | | 42 | 9 | | 43 | 7 | | 44 | 30 | | 45 | 14 | | 46 | 12 | | 47 | 1 | | 48 | 16 | | 49 | 41 |
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| 85.53% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 9 | | totalSentences | 160 | | matches | | 0 | "was bricked" | | 1 | "been killed" | | 2 | "was unbuttoned" | | 3 | "was filmed" | | 4 | "been drawn" | | 5 | "been etched" | | 6 | "been wiped" | | 7 | "was arranged" | | 8 | "were folded" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 245 | | matches | | |
| 75.79% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 3 | | flaggedSentences | 5 | | totalSentences | 213 | | ratio | 0.023 | | matches | | 0 | "One hand lay open on the platform; the other rested in his lap, curled around a small brass compass." | | 1 | "His attention shifted to the compass, to the wall, to the knife—the objects the scene had arranged for him." | | 2 | "For a moment she was somewhere else: a service tunnel, three years earlier; Morris’s radio hissing; a dark shape where the map promised solid brick." | | 3 | "But the chalk circle, the compass, the knife—all of it was arranged to make the opposite story feel obvious." | | 4 | "The passage behind the wall smelled faintly of wet stone—and something sharper beneath it." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1428 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.029411764705882353 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.004901960784313725 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 213 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 213 | | mean | 9.29 | | std | 5.39 | | cv | 0.58 | | sampleLengths | | 0 | 15 | | 1 | 19 | | 2 | 18 | | 3 | 19 | | 4 | 20 | | 5 | 4 | | 6 | 14 | | 7 | 19 | | 8 | 10 | | 9 | 8 | | 10 | 6 | | 11 | 1 | | 12 | 12 | | 13 | 15 | | 14 | 11 | | 15 | 8 | | 16 | 9 | | 17 | 19 | | 18 | 9 | | 19 | 7 | | 20 | 7 | | 21 | 3 | | 22 | 15 | | 23 | 3 | | 24 | 19 | | 25 | 13 | | 26 | 6 | | 27 | 3 | | 28 | 6 | | 29 | 15 | | 30 | 18 | | 31 | 10 | | 32 | 6 | | 33 | 10 | | 34 | 10 | | 35 | 4 | | 36 | 5 | | 37 | 7 | | 38 | 5 | | 39 | 20 | | 40 | 3 | | 41 | 6 | | 42 | 4 | | 43 | 9 | | 44 | 9 | | 45 | 8 | | 46 | 9 | | 47 | 11 | | 48 | 6 | | 49 | 7 |
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| 57.12% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3568075117370892 | | totalSentences | 213 | | uniqueOpeners | 76 | |
| 74.63% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 134 | | matches | | 0 | "Somewhere farther down, a man" | | 1 | "Then she saw the clean" | | 2 | "Then the matching crescent on" |
| | ratio | 0.022 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 134 | | matches | | 0 | "It had been cold at" | | 1 | "He had the careful, blank" | | 2 | "His coat was dark with" | | 3 | "Her curls had escaped their" | | 4 | "She glanced at the compass" | | 5 | "His face had gone waxy," | | 6 | "His clothes were otherwise surprisingly" | | 7 | "His left cuff was unbuttoned," | | 8 | "It looked like a ritual" | | 9 | "She stepped over the line." | | 10 | "She crouched without touching anything." | | 11 | "He looked down." | | 12 | "She could see the calculation" | | 13 | "His attention shifted to the" | | 14 | "She had only failed to" | | 15 | "She focused on the body." | | 16 | "His coat was wet across" | | 17 | "They ran toward the shuttered" | | 18 | "She glanced at Sore’s body" | | 19 | "Its canvas curtain hung straight," |
| | ratio | 0.187 | |
| 57.01% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 108 | | totalSentences | 134 | | matches | | 0 | "The bone token was warm" | | 1 | "It had been cold at" | | 2 | "The uniform at the top" | | 3 | "Lanterns burned without smoke." | | 4 | "A woman in a blue" | | 5 | "The market had moved beneath" | | 6 | "Aboveground, the station was bricked" | | 7 | "DS Calder stood beside the" | | 8 | "He had the careful, blank" | | 9 | "Quinn stopped outside the chalk" | | 10 | "A man sat slumped against" | | 11 | "His coat was dark with" | | 12 | "Blood spread in a neat" | | 13 | "A narrow knife protruded from" | | 14 | "The crowd watched from behind" | | 15 | "Nobody looked frightened." | | 16 | "Calder nodded toward a shuttered" | | 17 | "Calder’s mouth twitched." | | 18 | "Eva Kowalski stood just beyond" | | 19 | "Her curls had escaped their" |
| | ratio | 0.806 | |
| 74.63% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 134 | | matches | | 0 | "Now the token held the" | | 1 | "Whoever had brought Sore here" |
| | ratio | 0.015 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 62 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 25 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 21 | | fancyCount | 1 | | fancyTags | | 0 | "Quinn repeated (repeat)" |
| | dialogueSentences | 78 | | tagDensity | 0.269 | | leniency | 0.538 | | rawRatio | 0.048 | | effectiveRatio | 0.026 | |