| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 178 | | tagDensity | 0.006 | | leniency | 0.011 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 98.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2626 | | 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) | |
| 63.82% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2626 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "footsteps" | | 1 | "pulse" | | 2 | "weight" | | 3 | "could feel" | | 4 | "velvet" | | 5 | "chilled" | | 6 | "oppression" | | 7 | "ensuring" | | 8 | "traced" | | 9 | "eyebrow" | | 10 | "magnetic" | | 11 | "throbbed" | | 12 | "lurched" |
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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 | 189 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 189 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 366 | | 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 | 2626 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 54.13% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 74 | | wordCount | 1669 | | uniqueNames | 7 | | maxNameDensity | 1.92 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 26 | | Moreau | 1 | | Aurora | 32 | | Eva | 6 | | Ptolemy | 5 | | Bengali | 1 | | One | 3 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Aurora" | | 3 | "Eva" | | 4 | "Ptolemy" | | 5 | "One" |
| | places | | | globalScore | 0.541 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 135 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 2626 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 366 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 287 | | mean | 9.15 | | std | 9.31 | | cv | 1.017 | | sampleLengths | | 0 | 16 | | 1 | 36 | | 2 | 7 | | 3 | 1 | | 4 | 3 | | 5 | 5 | | 6 | 17 | | 7 | 1 | | 8 | 4 | | 9 | 16 | | 10 | 7 | | 11 | 33 | | 12 | 20 | | 13 | 6 | | 14 | 1 | | 15 | 5 | | 16 | 6 | | 17 | 3 | | 18 | 3 | | 19 | 15 | | 20 | 4 | | 21 | 1 | | 22 | 3 | | 23 | 7 | | 24 | 16 | | 25 | 3 | | 26 | 12 | | 27 | 5 | | 28 | 23 | | 29 | 3 | | 30 | 2 | | 31 | 9 | | 32 | 3 | | 33 | 22 | | 34 | 5 | | 35 | 22 | | 36 | 30 | | 37 | 10 | | 38 | 30 | | 39 | 4 | | 40 | 7 | | 41 | 9 | | 42 | 5 | | 43 | 14 | | 44 | 4 | | 45 | 5 | | 46 | 4 | | 47 | 9 | | 48 | 3 | | 49 | 3 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 189 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 284 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 2 | | flaggedSentences | 2 | | totalSentences | 366 | | ratio | 0.005 | | matches | | 0 | "The amber eye caught the jaundiced stairwell light; the black one seemed to swallow it." | | 1 | "The touch pulled at the binding; pain sparked between their palms, followed by a rush of his fear so naked it stripped the room of air." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1676 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.017303102625298328 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0005966587112171838 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 366 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 366 | | mean | 7.17 | | std | 5.04 | | cv | 0.702 | | sampleLengths | | 0 | 16 | | 1 | 13 | | 2 | 8 | | 3 | 15 | | 4 | 7 | | 5 | 1 | | 6 | 3 | | 7 | 5 | | 8 | 2 | | 9 | 15 | | 10 | 1 | | 11 | 4 | | 12 | 16 | | 13 | 7 | | 14 | 17 | | 15 | 9 | | 16 | 7 | | 17 | 5 | | 18 | 15 | | 19 | 6 | | 20 | 1 | | 21 | 5 | | 22 | 6 | | 23 | 3 | | 24 | 3 | | 25 | 6 | | 26 | 9 | | 27 | 4 | | 28 | 1 | | 29 | 3 | | 30 | 7 | | 31 | 5 | | 32 | 4 | | 33 | 7 | | 34 | 3 | | 35 | 12 | | 36 | 5 | | 37 | 7 | | 38 | 16 | | 39 | 3 | | 40 | 2 | | 41 | 9 | | 42 | 3 | | 43 | 22 | | 44 | 5 | | 45 | 4 | | 46 | 11 | | 47 | 7 | | 48 | 16 | | 49 | 4 |
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| 47.81% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.2814207650273224 | | totalSentences | 366 | | uniqueOpeners | 103 | |
| 18.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 182 | | matches | | | ratio | 0.005 | |
| 92.53% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 58 | | totalSentences | 182 | | matches | | 0 | "His ivory-handled cane rested against" | | 1 | "His palm met the other" | | 2 | "It had collected under his" | | 3 | "Her gaze returned to his" | | 4 | "His expression shifted by a" | | 5 | "She checked the landing." | | 6 | "She shut the door and" | | 7 | "He peeled his hand from" | | 8 | "His knees buckled." | | 9 | "She caught him by the" | | 10 | "His weight drove her back" | | 11 | "He pushed against the cane" | | 12 | "She could feel the heat" | | 13 | "She steered him past leaning" | | 14 | "Her stare pinned him to" | | 15 | "His amber eye held hers." | | 16 | "She stripped it off and" | | 17 | "Her hands stilled over the" | | 18 | "She threw the packet of" | | 19 | "He caught it, then winced" |
| | ratio | 0.319 | |
| 12.20% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 163 | | totalSentences | 182 | | matches | | 0 | "The door opened as far" | | 1 | "Rain glazed his platinum hair" | | 2 | "His ivory-handled cane rested against" | | 3 | "The amber eye caught the" | | 4 | "Aurora kept her hand around" | | 5 | "His palm met the other" | | 6 | "A crash came from the" | | 7 | "Cumin, hot oil and wet" | | 8 | "Lucien glanced towards the sound," | | 9 | "Aurora noticed the blood then." | | 10 | "It had collected under his" | | 11 | "Her gaze returned to his" | | 12 | "His expression shifted by a" | | 13 | "Footsteps struck the pavement outside." | | 14 | "Lucien looked past her into" | | 15 | "The number hit harder than" | | 16 | "Aurora tightened her grip on" | | 17 | "Another footstep sounded below, inside" | | 18 | "Lucien’s voice dropped." | | 19 | "The landing light blinked out." |
| | ratio | 0.896 | |
| 27.47% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 182 | | matches | | 0 | "Even Ptolemy went quiet." |
| | ratio | 0.005 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 68 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 178 | | tagDensity | 0.006 | | leniency | 0.011 | | rawRatio | 1 | | effectiveRatio | 0.011 | |