| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 1 | | adverbTags | | 0 | "His thumb moved once [once]" |
| | dialogueSentences | 118 | | tagDensity | 0.127 | | leniency | 0.254 | | rawRatio | 0.067 | | effectiveRatio | 0.017 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1887 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 89.40% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1887 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "weight" | | 1 | "oppressive" | | 2 | "treacherous" | | 3 | "familiar" |
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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 | 118 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 118 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 221 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 66 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1886 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 35 | | unquotedAttributions | 0 | | matches | (empty) | |
| 52.44% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 1025 | | uniqueNames | 5 | | maxNameDensity | 1.95 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Moreau | 1 | | Eva | 6 | | Rory | 20 | | Lucien | 16 | | Ptolemy | 6 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Lucien" | | 4 | "Ptolemy" |
| | places | (empty) | | globalScore | 0.524 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 76 | | glossingSentenceCount | 1 | | matches | | 0 | "as though conducting an inspection" |
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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 | 1886 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 221 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 154 | | mean | 12.25 | | std | 11.73 | | cv | 0.958 | | sampleLengths | | 0 | 4 | | 1 | 34 | | 2 | 23 | | 3 | 8 | | 4 | 2 | | 5 | 5 | | 6 | 6 | | 7 | 13 | | 8 | 27 | | 9 | 3 | | 10 | 3 | | 11 | 6 | | 12 | 10 | | 13 | 4 | | 14 | 7 | | 15 | 19 | | 16 | 7 | | 17 | 8 | | 18 | 11 | | 19 | 21 | | 20 | 3 | | 21 | 6 | | 22 | 11 | | 23 | 17 | | 24 | 26 | | 25 | 9 | | 26 | 54 | | 27 | 6 | | 28 | 11 | | 29 | 8 | | 30 | 7 | | 31 | 9 | | 32 | 9 | | 33 | 8 | | 34 | 21 | | 35 | 19 | | 36 | 1 | | 37 | 6 | | 38 | 20 | | 39 | 44 | | 40 | 21 | | 41 | 21 | | 42 | 5 | | 43 | 10 | | 44 | 13 | | 45 | 2 | | 46 | 3 | | 47 | 10 | | 48 | 9 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 196 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 221 | | ratio | 0.014 | | matches | | 0 | "Scrolls lay beneath mugs on Eva’s desk; research notes had swallowed the sofa and most of the floor." | | 1 | "Heat came through his skin; his breath stirred the black hair at her temple." | | 2 | "His hand covered hers—not holding it there, just resting over her fingers." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1030 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.03300970873786408 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003883495145631068 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 221 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 221 | | mean | 8.53 | | std | 7.36 | | cv | 0.862 | | sampleLengths | | 0 | 4 | | 1 | 19 | | 2 | 10 | | 3 | 5 | | 4 | 23 | | 5 | 8 | | 6 | 2 | | 7 | 5 | | 8 | 6 | | 9 | 8 | | 10 | 5 | | 11 | 7 | | 12 | 9 | | 13 | 11 | | 14 | 3 | | 15 | 3 | | 16 | 6 | | 17 | 9 | | 18 | 1 | | 19 | 4 | | 20 | 7 | | 21 | 10 | | 22 | 9 | | 23 | 7 | | 24 | 3 | | 25 | 5 | | 26 | 8 | | 27 | 3 | | 28 | 21 | | 29 | 3 | | 30 | 6 | | 31 | 11 | | 32 | 5 | | 33 | 12 | | 34 | 6 | | 35 | 20 | | 36 | 9 | | 37 | 8 | | 38 | 18 | | 39 | 28 | | 40 | 6 | | 41 | 11 | | 42 | 8 | | 43 | 7 | | 44 | 7 | | 45 | 2 | | 46 | 9 | | 47 | 8 | | 48 | 11 | | 49 | 10 |
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| 44.57% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.25339366515837103 | | totalSentences | 221 | | uniqueOpeners | 56 | |
| 66.01% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 101 | | matches | | 0 | "Then she pulled." | | 1 | "Then she put the tweezers" |
| | ratio | 0.02 | |
| 57.62% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 41 | | totalSentences | 101 | | matches | | 0 | "His platinum hair had slipped" | | 1 | "She stopped with the door" | | 2 | "His ivory-handled cane bore most" | | 3 | "His mismatched eyes held hers," | | 4 | "She looked past him into" | | 5 | "He stepped inside without touching" | | 6 | "He lowered himself onto a" | | 7 | "She fetched Eva’s first-aid tin" | | 8 | "His jaw tightened, but not" | | 9 | "She helped him out of" | | 10 | "His waistcoat followed." | | 11 | "He unbuttoned it far enough" | | 12 | "Her hands stopped." | | 13 | "He looked at the table." | | 14 | "She took hold of the" | | 15 | "She braced her free hand" | | 16 | "He folded forwards with a" | | 17 | "She caught his shoulder before" | | 18 | "She dropped the metal into" | | 19 | "His hand covered hers—not holding" |
| | ratio | 0.406 | |
| 14.46% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 101 | | matches | | 0 | "Rory opened the door." | | 1 | "Lucien Moreau stood on Eva’s" | | 2 | "His platinum hair had slipped" | | 3 | "Blood shone on his fingers." | | 4 | "Rory began to close the" | | 5 | "She stopped with the door" | | 6 | "His ivory-handled cane bore most" | | 7 | "The hand wrapped around it" | | 8 | "His mismatched eyes held hers," | | 9 | "Ptolemy pushed between Rory’s ankles" | | 10 | "The tabby surveyed Lucien, then" | | 11 | "Rory told the cat" | | 12 | "Lucien’s mouth twitched." | | 13 | "She looked past him into" | | 14 | "A drop of blood slid" | | 15 | "Rory opened the door wider." | | 16 | "He stepped inside without touching" | | 17 | "Ptolemy twined around his ankles" | | 18 | "Rory shut the door and" | | 19 | "Books covered the sitting room" |
| | ratio | 0.891 | |
| 49.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 101 | | matches | | | ratio | 0.01 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 1 | | matches | | 0 | "Ptolemy twined around his ankles until Lucien nearly stumbled, then led him into the flat as though conducting an inspection." |
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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 | 14 | | fancyCount | 1 | | fancyTags | | 0 | "he continued (continue)" |
| | dialogueSentences | 118 | | tagDensity | 0.119 | | leniency | 0.237 | | rawRatio | 0.071 | | effectiveRatio | 0.017 | |