| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 3 | | adverbTags | | 0 | "Aurora stepped back [back]" | | 1 | "Lucien said quietly [quietly]" | | 2 | "He spoke like [like]" |
| | dialogueSentences | 77 | | tagDensity | 0.234 | | leniency | 0.468 | | rawRatio | 0.167 | | effectiveRatio | 0.078 | |
| 92.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1389 | | 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) | |
| 67.60% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1389 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "stomach" | | 1 | "tension" | | 2 | "charm" | | 3 | "perfect" | | 4 | "ensuring" | | 5 | "flickered" | | 6 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 91 | | matches | (empty) | |
| 95.76% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 1 | | narrationSentences | 91 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 149 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 45 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1384 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 26 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 794 | | uniqueNames | 12 | | maxNameDensity | 0.76 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Edinburgh | 1 | | Ptolemy | 1 | | Moreau | 1 | | Books | 1 | | Good | 2 | | Evan | 2 | | Lucien | 6 | | Childish | 1 | | Mrs | 2 | | Mahler | 2 | | Aurora | 4 | | Four | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Books" | | 2 | "Evan" | | 3 | "Lucien" | | 4 | "Mrs" | | 5 | "Aurora" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | 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 | 1384 | | matches | (empty) | |
| 99.55% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 3 | | totalSentences | 149 | | matches | | 0 | "remembered that night" | | 1 | "was, that she" | | 2 | "pinky that she'd" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 76 | | mean | 18.21 | | std | 16.78 | | cv | 0.922 | | sampleLengths | | 0 | 21 | | 1 | 33 | | 2 | 8 | | 3 | 68 | | 4 | 1 | | 5 | 18 | | 6 | 37 | | 7 | 6 | | 8 | 4 | | 9 | 1 | | 10 | 18 | | 11 | 33 | | 12 | 13 | | 13 | 4 | | 14 | 54 | | 15 | 3 | | 16 | 12 | | 17 | 17 | | 18 | 5 | | 19 | 37 | | 20 | 15 | | 21 | 4 | | 22 | 2 | | 23 | 51 | | 24 | 18 | | 25 | 2 | | 26 | 10 | | 27 | 5 | | 28 | 37 | | 29 | 8 | | 30 | 62 | | 31 | 5 | | 32 | 6 | | 33 | 8 | | 34 | 60 | | 35 | 34 | | 36 | 27 | | 37 | 6 | | 38 | 4 | | 39 | 20 | | 40 | 38 | | 41 | 38 | | 42 | 2 | | 43 | 41 | | 44 | 8 | | 45 | 6 | | 46 | 40 | | 47 | 17 | | 48 | 14 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 91 | | matches | | |
| 25.71% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 153 | | matches | | 0 | "was staying" | | 1 | "was shaking" | | 2 | "was reciting" | | 3 | "was crying" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 149 | | ratio | 0.007 | | matches | | |
| 97.63% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 796 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 34 | | adverbRatio | 0.04271356783919598 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008793969849246231 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 149 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 149 | | mean | 9.29 | | std | 7.83 | | cv | 0.844 | | sampleLengths | | 0 | 15 | | 1 | 3 | | 2 | 3 | | 3 | 4 | | 4 | 26 | | 5 | 3 | | 6 | 8 | | 7 | 22 | | 8 | 1 | | 9 | 1 | | 10 | 28 | | 11 | 16 | | 12 | 1 | | 13 | 7 | | 14 | 6 | | 15 | 5 | | 16 | 13 | | 17 | 5 | | 18 | 6 | | 19 | 11 | | 20 | 2 | | 21 | 6 | | 22 | 4 | | 23 | 1 | | 24 | 3 | | 25 | 2 | | 26 | 13 | | 27 | 9 | | 28 | 1 | | 29 | 8 | | 30 | 11 | | 31 | 4 | | 32 | 13 | | 33 | 4 | | 34 | 6 | | 35 | 10 | | 36 | 18 | | 37 | 20 | | 38 | 3 | | 39 | 3 | | 40 | 9 | | 41 | 11 | | 42 | 6 | | 43 | 5 | | 44 | 9 | | 45 | 28 | | 46 | 10 | | 47 | 5 | | 48 | 4 | | 49 | 2 |
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| 54.14% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.38926174496644295 | | totalSentences | 149 | | uniqueOpeners | 58 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 77 | | matches | | 0 | "Then the first." | | 1 | "Already, music had started playing" | | 2 | "Then he reached into his" | | 3 | "Instead, he'd made calls that" |
| | ratio | 0.052 | |
| 64.16% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 77 | | matches | | 0 | "His platinum hair slicked back" | | 1 | "His heterochromatic eyes found hers" | | 2 | "Her stomach clenched at the" | | 3 | "She didn't move from the" | | 4 | "His gaze slid past her," | | 5 | "He didn't move." | | 6 | "She glanced at the thin" | | 7 | "Her hand stopped on the" | | 8 | "Her ex's face flashed behind" | | 9 | "She laughed, but there was" | | 10 | "She pressed her palm against" | | 11 | "She was shaking now" | | 12 | "He was quiet for a" | | 13 | "He stepped closer, close enough" | | 14 | "She'd thought he meant he'd" | | 15 | "Her voice came out small" | | 16 | "His expression shuttered." | | 17 | "He held out the envelope" | | 18 | "She stared at his hand." | | 19 | "She took the envelope" |
| | ratio | 0.39 | |
| 50.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 77 | | matches | | 0 | "The third deadbolt turned with" | | 1 | "The second followed." | | 2 | "Aurora hadn't expected visitors." | | 3 | "Eva was away at a" | | 4 | "The door swung inward, and" | | 5 | "Lucien Moreau looked exactly as" | | 6 | "His platinum hair slicked back" | | 7 | "His heterochromatic eyes found hers" | | 8 | "Her stomach clenched at the" | | 9 | "She didn't move from the" | | 10 | "His gaze slid past her," | | 11 | "Books stacked on every surface." | | 12 | "Scrolls unrolled on the kitchen" | | 13 | "Notes pinned to the wall" | | 14 | "He didn't move." | | 15 | "She glanced at the thin" | | 16 | "Okonkwo was eighty-three and sharp" | | 17 | "Aurora stepped back, about to" | | 18 | "Her hand stopped on the" | | 19 | "The name hit her like" |
| | ratio | 0.818 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 77 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 2 | | matches | | 0 | "His platinum hair slicked back with military precision, that ivory cane gripped in one manicured hand, charcoal suit hugging shoulders that had once held her in…" | | 1 | "Her ex's face flashed behind her eyes, that controlled mask that could switch to violence in a heartbeat." |
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| 69.44% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 2 | | matches | | 0 | "She changed, because the alternative was crying, and she refused to cry in front of him" | | 1 | "He straightened, that perfect posture returning, the mask sliding back into place" |
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| 98.05% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 4 | | fancyTags | | 0 | "She laughed (laugh)" | | 1 | "She pressed (press)" | | 2 | "He spoke like (speak)" | | 3 | "he continued (continue)" |
| | dialogueSentences | 77 | | tagDensity | 0.078 | | leniency | 0.156 | | rawRatio | 0.667 | | effectiveRatio | 0.104 | |