| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory’s hand closed around [around]" |
| | dialogueSentences | 55 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0.1 | | effectiveRatio | 0.036 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1544 | | 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) | |
| 67.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1544 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "trembled" | | 1 | "weight" | | 2 | "pulsed" | | 3 | "silence" | | 4 | "warmth" |
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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 | 107 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 107 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 152 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1544 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.61% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 973 | | uniqueNames | 7 | | maxNameDensity | 1.03 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Lucien | 5 | | Moreau | 1 | | Golden | 1 | | Empress | 1 | | Silas | 2 | | Avaros | 1 | | Rory | 10 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Silas" | | 3 | "Avaros" | | 4 | "Rory" |
| | places | (empty) | | globalScore | 0.986 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.648 | | wordCount | 1544 | | matches | | 0 | "not in flesh, but in the air above it, a small dark door no larger than a coin" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 152 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 23.75 | | std | 19.09 | | cv | 0.804 | | sampleLengths | | 0 | 49 | | 1 | 6 | | 2 | 26 | | 3 | 29 | | 4 | 44 | | 5 | 46 | | 6 | 3 | | 7 | 21 | | 8 | 20 | | 9 | 49 | | 10 | 28 | | 11 | 3 | | 12 | 48 | | 13 | 5 | | 14 | 24 | | 15 | 40 | | 16 | 7 | | 17 | 33 | | 18 | 7 | | 19 | 8 | | 20 | 48 | | 21 | 20 | | 22 | 52 | | 23 | 4 | | 24 | 42 | | 25 | 19 | | 26 | 21 | | 27 | 14 | | 28 | 29 | | 29 | 4 | | 30 | 46 | | 31 | 1 | | 32 | 4 | | 33 | 56 | | 34 | 5 | | 35 | 9 | | 36 | 26 | | 37 | 50 | | 38 | 48 | | 39 | 5 | | 40 | 27 | | 41 | 35 | | 42 | 3 | | 43 | 3 | | 44 | 33 | | 45 | 38 | | 46 | 6 | | 47 | 3 | | 48 | 32 | | 49 | 8 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 107 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 140 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 152 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 976 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.00819672131147541 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 152 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 152 | | mean | 10.16 | | std | 7.89 | | cv | 0.776 | | sampleLengths | | 0 | 18 | | 1 | 21 | | 2 | 6 | | 3 | 4 | | 4 | 6 | | 5 | 5 | | 6 | 10 | | 7 | 11 | | 8 | 6 | | 9 | 16 | | 10 | 7 | | 11 | 4 | | 12 | 23 | | 13 | 17 | | 14 | 4 | | 15 | 20 | | 16 | 5 | | 17 | 17 | | 18 | 3 | | 19 | 4 | | 20 | 4 | | 21 | 13 | | 22 | 5 | | 23 | 13 | | 24 | 2 | | 25 | 9 | | 26 | 19 | | 27 | 21 | | 28 | 5 | | 29 | 8 | | 30 | 9 | | 31 | 6 | | 32 | 3 | | 33 | 23 | | 34 | 25 | | 35 | 5 | | 36 | 4 | | 37 | 13 | | 38 | 7 | | 39 | 8 | | 40 | 6 | | 41 | 18 | | 42 | 5 | | 43 | 3 | | 44 | 7 | | 45 | 7 | | 46 | 11 | | 47 | 15 | | 48 | 7 | | 49 | 8 |
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| 34.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 24 | | diversityRatio | 0.17763157894736842 | | totalSentences | 152 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 106 | | matches | (empty) | | ratio | 0 | |
| 61.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 106 | | matches | | 0 | "He did not step inside." | | 1 | "His cuff dropped from his" | | 2 | "He opened his hand." | | 3 | "Her left wrist itched." | | 4 | "She rolled her sleeve back." | | 5 | "He met her eyes." | | 6 | "She pulled her arm back." | | 7 | "He lifted the cane" | | 8 | "She picked up the paring" | | 9 | "His voice dropped to the" | | 10 | "He stepped inside" | | 11 | "She crossed to the window" | | 12 | "He waved at the ceiling." | | 13 | "She turned from the window." | | 14 | "He stood near the door," | | 15 | "It hung between them, a" | | 16 | "He took the chair opposite." | | 17 | "His knees made a sound" | | 18 | "His thumb pressed the scar" | | 19 | "He held out the cane" |
| | ratio | 0.396 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 103 | | totalSentences | 106 | | matches | | 0 | "The door opened and Lucien" | | 1 | "Rain had cut a dark" | | 2 | "The other drank it." | | 3 | "He did not step inside." | | 4 | "His cuff dropped from his" | | 5 | "Rory kept the hallway between" | | 6 | "The bar below had gone" | | 7 | "He opened his hand." | | 8 | "A black thread lay across" | | 9 | "Her left wrist itched." | | 10 | "The crescent scar lay under" | | 11 | "She rolled her sleeve back." | | 12 | "The skin around the scar" | | 13 | "He met her eyes." | | 14 | "The amber one blinked." | | 15 | "She pulled her arm back." | | 16 | "The flat door swung wider," | | 17 | "He lifted the cane" | | 18 | "The ivory handle turned in" | | 19 | "Rory turned to the kitchen." |
| | ratio | 0.972 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 106 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 32 | | technicalSentenceCount | 1 | | matches | | 0 | "The lock turned warm, then hot, as if something outside pressed its palm against the metal." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "His thumb pressed (press)" |
| | dialogueSentences | 55 | | tagDensity | 0.018 | | leniency | 0.036 | | rawRatio | 1 | | effectiveRatio | 0.036 | |