| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 28 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.125 | | effectiveRatio | 0.071 | |
| 89.78% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 978 | | 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) | |
| 79.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 978 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "flicked" | | 1 | "glinting" | | 2 | "abyssal" | | 3 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 59 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 59 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 79 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 53 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 979 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 722 | | uniqueNames | 11 | | maxNameDensity | 0.83 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Ptolemy" | | discoveredNames | | Brick | 1 | | Lane | 1 | | Moreau | 1 | | Ptolemy | 3 | | Lucien | 6 | | Rory | 5 | | Eva | 1 | | Paris | 1 | | Eucalyptus | 1 | | Avaros | 1 | | Bengali | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Ptolemy" | | 2 | "Lucien" | | 3 | "Rory" | | 4 | "Eva" | | 5 | "Avaros" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Paris" | | 3 | "Bengali" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 97.85% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.021 | | wordCount | 979 | | matches | | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 23.88 | | std | 19.44 | | cv | 0.814 | | sampleLengths | | 0 | 32 | | 1 | 32 | | 2 | 57 | | 3 | 27 | | 4 | 13 | | 5 | 4 | | 6 | 39 | | 7 | 4 | | 8 | 6 | | 9 | 1 | | 10 | 25 | | 11 | 12 | | 12 | 12 | | 13 | 7 | | 14 | 62 | | 15 | 7 | | 16 | 56 | | 17 | 54 | | 18 | 19 | | 19 | 3 | | 20 | 2 | | 21 | 54 | | 22 | 9 | | 23 | 5 | | 24 | 18 | | 25 | 18 | | 26 | 56 | | 27 | 8 | | 28 | 35 | | 29 | 31 | | 30 | 7 | | 31 | 65 | | 32 | 59 | | 33 | 24 | | 34 | 13 | | 35 | 16 | | 36 | 13 | | 37 | 35 | | 38 | 16 | | 39 | 18 | | 40 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 80.95% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 112 | | matches | | 0 | "was not always going" | | 1 | "was asking" |
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| 34.36% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 79 | | ratio | 0.038 | | matches | | 0 | "Rory remembered once, one time of his hand—gloved, warm, the palm a cold solid—closing over her left wrist, exactly in the crescent scar." | | 1 | "He set his jaw he made not careful — he was asking a bridge’s hand to his chest and gripping something." | | 2 | "His coat soaked at the touch, and a star - Eucalyptus - something abyssal and cool came off him, wet wool and cologne." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 725 | | adjectiveStacks | 1 | | stackExamples | | 0 | "cold solid—closing over her" |
| | adverbCount | 25 | | adverbRatio | 0.034482758620689655 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006896551724137931 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 79 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 79 | | mean | 12.39 | | std | 8.71 | | cv | 0.703 | | sampleLengths | | 0 | 8 | | 1 | 24 | | 2 | 22 | | 3 | 10 | | 4 | 21 | | 5 | 23 | | 6 | 13 | | 7 | 27 | | 8 | 13 | | 9 | 4 | | 10 | 6 | | 11 | 12 | | 12 | 7 | | 13 | 14 | | 14 | 4 | | 15 | 6 | | 16 | 1 | | 17 | 2 | | 18 | 4 | | 19 | 19 | | 20 | 12 | | 21 | 7 | | 22 | 5 | | 23 | 7 | | 24 | 52 | | 25 | 10 | | 26 | 7 | | 27 | 4 | | 28 | 12 | | 29 | 30 | | 30 | 10 | | 31 | 17 | | 32 | 12 | | 33 | 25 | | 34 | 6 | | 35 | 13 | | 36 | 3 | | 37 | 2 | | 38 | 6 | | 39 | 8 | | 40 | 23 | | 41 | 4 | | 42 | 13 | | 43 | 7 | | 44 | 2 | | 45 | 5 | | 46 | 4 | | 47 | 14 | | 48 | 18 | | 49 | 14 |
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| 59.49% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.379746835443038 | | totalSentences | 79 | | uniqueOpeners | 30 | |
| 62.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 53 | | matches | | 0 | "Even the curry house below" |
| | ratio | 0.019 | |
| 46.42% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 53 | | matches | | 0 | "She blinked against the yellow" | | 1 | "His hair was still slicked" | | 2 | "He held the ivory-handled cane" | | 3 | "She knew a long beat" | | 4 | "His accent flicked through the" | | 5 | "he said, using the not" | | 6 | "She let the door swing" | | 7 | "He lifted his chin." | | 8 | "His voice turned the flat" | | 9 | "Her laugh came out a" | | 10 | "I didn’t picture Paris as" | | 11 | "Her thigh ached from the" | | 12 | "It was the unsaid thing" | | 13 | "His gloved fingers closed around" | | 14 | "He set his jaw he" | | 15 | "He lowered his hand." | | 16 | "He stepped one foot into" | | 17 | "His coat soaked at the" | | 18 | "She studied the part of" | | 19 | "He stood there exactly three" |
| | ratio | 0.434 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 50 | | totalSentences | 53 | | matches | | 0 | "The third deadbolt scraped like" | | 1 | "Rory had her hand flat" | | 2 | "She blinked against the yellow" | | 3 | "Lucien Moreau stood on the" | | 4 | "His hair was still slicked" | | 5 | "He held the ivory-handled cane" | | 6 | "She knew a long beat" | | 7 | "His accent flicked through the" | | 8 | "Lucien allowed himself the smallest" | | 9 | "The amber one caught the" | | 10 | "The black eye gathered the" | | 11 | "The rain kept time." | | 12 | "A motorcycle gunned past at" | | 13 | "he said, using the not" | | 14 | "Rory’s knuckles went white on" | | 15 | "She let the door swing" | | 16 | "A witness had seen her" | | 17 | "He lifted his chin." | | 18 | "Raindrops ran along the stitching" | | 19 | "His voice turned the flat" |
| | ratio | 0.943 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 53 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "he said quietly, not speaking to her" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.214 | | leniency | 0.429 | | rawRatio | 0 | | effectiveRatio | 0 | |