| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 29 | | adverbTagCount | 3 | | adverbTags | | 0 | "She stepped back [back]" | | 1 | "His fingers flexed around [around]" | | 2 | "he said quietly [quietly]" |
| | dialogueSentences | 78 | | tagDensity | 0.372 | | leniency | 0.744 | | rawRatio | 0.103 | | effectiveRatio | 0.077 | |
| 93.22% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1475 | | 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) | |
| 76.27% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1475 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "throbbed" | | 1 | "pulse" | | 2 | "silence" | | 3 | "racing" | | 4 | "charm" |
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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 | 75 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 75 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 123 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 14 | | totalWords | 1475 | | ratio | 0.009 | | matches | | 0 | "Subject leaves the restaurant at 9:40. Subject takes the long way home." | | 1 | "home" | | 2 | "watched" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 89.84% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 18 | | wordCount | 748 | | uniqueNames | 7 | | maxNameDensity | 1.2 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 9 | | One | 1 | | Lucien | 3 | | Latin | 1 | | Eva | 1 | | Ptolemy | 2 | | Bengali | 1 |
| | persons | | 0 | "Rory" | | 1 | "One" | | 2 | "Lucien" | | 3 | "Eva" | | 4 | "Ptolemy" |
| | places | | | globalScore | 0.898 | | windowScore | 1 | |
| 90.48% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 42 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like it had been assaulted" |
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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 | 1475 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 123 | | matches | | 0 | "forget that smell" | | 1 | "hated that it" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 22.69 | | std | 20.88 | | cv | 0.92 | | sampleLengths | | 0 | 10 | | 1 | 65 | | 2 | 15 | | 3 | 20 | | 4 | 28 | | 5 | 5 | | 6 | 19 | | 7 | 23 | | 8 | 37 | | 9 | 3 | | 10 | 35 | | 11 | 37 | | 12 | 72 | | 13 | 5 | | 14 | 4 | | 15 | 34 | | 16 | 35 | | 17 | 26 | | 18 | 5 | | 19 | 6 | | 20 | 33 | | 21 | 47 | | 22 | 17 | | 23 | 2 | | 24 | 52 | | 25 | 2 | | 26 | 66 | | 27 | 2 | | 28 | 25 | | 29 | 10 | | 30 | 43 | | 31 | 3 | | 32 | 22 | | 33 | 35 | | 34 | 69 | | 35 | 2 | | 36 | 48 | | 37 | 3 | | 38 | 1 | | 39 | 45 | | 40 | 2 | | 41 | 8 | | 42 | 4 | | 43 | 79 | | 44 | 10 | | 45 | 9 | | 46 | 7 | | 47 | 5 | | 48 | 26 | | 49 | 47 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 75 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 139 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 123 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 751 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 21 | | adverbRatio | 0.02796271637816245 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.005326231691078562 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 123 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 123 | | mean | 11.99 | | std | 10.46 | | cv | 0.872 | | sampleLengths | | 0 | 10 | | 1 | 15 | | 2 | 10 | | 3 | 30 | | 4 | 10 | | 5 | 6 | | 6 | 9 | | 7 | 17 | | 8 | 3 | | 9 | 18 | | 10 | 6 | | 11 | 4 | | 12 | 5 | | 13 | 19 | | 14 | 18 | | 15 | 5 | | 16 | 5 | | 17 | 19 | | 18 | 5 | | 19 | 8 | | 20 | 3 | | 21 | 8 | | 22 | 27 | | 23 | 20 | | 24 | 3 | | 25 | 14 | | 26 | 13 | | 27 | 37 | | 28 | 22 | | 29 | 5 | | 30 | 4 | | 31 | 25 | | 32 | 9 | | 33 | 25 | | 34 | 10 | | 35 | 2 | | 36 | 4 | | 37 | 20 | | 38 | 5 | | 39 | 6 | | 40 | 23 | | 41 | 10 | | 42 | 4 | | 43 | 22 | | 44 | 21 | | 45 | 5 | | 46 | 12 | | 47 | 2 | | 48 | 34 | | 49 | 9 |
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| 57.99% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.3821138211382114 | | totalSentences | 123 | | uniqueOpeners | 47 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 63 | | matches | | 0 | "Then she looked at him." | | 1 | "Once in a fight." | | 2 | "Once in the rain." |
| | ratio | 0.048 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 63 | | matches | | 0 | "She had spent three weeks" | | 1 | "It didn't reach the amber" | | 2 | "She heard the edge in" | | 3 | "He tilted his head down." | | 4 | "She stepped back, and the" | | 5 | "She let it." | | 6 | "He crossed the threshold with" | | 7 | "His gaze went over the" | | 8 | "He nodded at the blanket" | | 9 | "She shut the door and" | | 10 | "She watched it land." | | 11 | "His jaw tightened, and he" | | 12 | "He looked at her then," | | 13 | "Her left wrist pressed against" | | 14 | "He almost laughed" | | 15 | "He shrugged out of his" | | 16 | "She hated that it worked." | | 17 | "He drew a breath" | | 18 | "His fingers flexed around the" | | 19 | "She flattened it." |
| | ratio | 0.603 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 63 | | matches | | 0 | "The third deadbolt slid back," | | 1 | "Lucien stood on the landing" | | 2 | "Both hands rested on the" | | 3 | "Cumin and frying onions drifted" | | 4 | "She had spent three weeks" | | 5 | "Rory kept her hand on" | | 6 | "It didn't reach the amber" | | 7 | "She heard the edge in" | | 8 | "Something soft brushed her ankle." | | 9 | "Ptolemy slid past her, all" | | 10 | "He tilted his head down." | | 11 | "The cat pushed his skull" | | 12 | "Lucien didn't move his foot" | | 13 | "She stepped back, and the" | | 14 | "She let it." | | 15 | "He crossed the threshold with" | | 16 | "His gaze went over the" | | 17 | "A kettle sat on the" | | 18 | "He nodded at the blanket" | | 19 | "She shut the door and" |
| | ratio | 0.921 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 20 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 73.28% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 29 | | uselessAdditionCount | 3 | | matches | | 0 | "She stepped back, and the door swung wider" | | 1 | "He stepped, and the floorboards creaked under him" | | 2 | "He held, and the silence stretched thin between them" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 2 | | fancyTags | | 0 | "Rory muttered (mutter)" | | 1 | "She unfolded (unfold)" |
| | dialogueSentences | 78 | | tagDensity | 0.141 | | leniency | 0.282 | | rawRatio | 0.182 | | effectiveRatio | 0.051 | |