| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 9 | | adverbTagCount | 1 | | adverbTags | | 0 | "The words landed like [like]" |
| | dialogueSentences | 47 | | tagDensity | 0.191 | | leniency | 0.383 | | rawRatio | 0.111 | | effectiveRatio | 0.043 | |
| 75.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1035 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "really" | | 1 | "slightly" | | 2 | "very" |
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| 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) | |
| 80.68% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1035 | | totalAiIsms | 4 | | found | | 0 | | | 1 | | word | "practiced ease" | | count | 1 |
| | 2 | | | 3 | |
| | highlights | | 0 | "stomach" | | 1 | "practiced ease" | | 2 | "silence" | | 3 | "weight" |
| |
| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "stomach dropped/sank" | | count | 1 |
|
| | highlights | | 0 | "blood went cold" | | 1 | "stomach dropped" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 43 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 43 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 81 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 50 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 1035 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 638 | | uniqueNames | 7 | | maxNameDensity | 0.47 | | worstName | "Eva" | | maxWindowNameDensity | 1 | | worstWindowName | "Eva" | | discoveredNames | | Moreau | 1 | | Eva | 3 | | Brick | 1 | | Lane | 1 | | Rory | 3 | | Ptolemy | 3 | | Lucien | 3 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Ptolemy" | | 4 | "Lucien" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 76.47% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 34 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed smaller for it, the way rooms always did when he filled them" |
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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 | 1035 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 81 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 18.82 | | std | 18.11 | | cv | 0.962 | | sampleLengths | | 0 | 20 | | 1 | 13 | | 2 | 4 | | 3 | 70 | | 4 | 3 | | 5 | 29 | | 6 | 20 | | 7 | 31 | | 8 | 9 | | 9 | 48 | | 10 | 4 | | 11 | 5 | | 12 | 48 | | 13 | 6 | | 14 | 11 | | 15 | 1 | | 16 | 36 | | 17 | 2 | | 18 | 3 | | 19 | 4 | | 20 | 23 | | 21 | 49 | | 22 | 5 | | 23 | 18 | | 24 | 7 | | 25 | 4 | | 26 | 8 | | 27 | 42 | | 28 | 13 | | 29 | 4 | | 30 | 12 | | 31 | 26 | | 32 | 2 | | 33 | 12 | | 34 | 28 | | 35 | 14 | | 36 | 1 | | 37 | 4 | | 38 | 31 | | 39 | 72 | | 40 | 4 | | 41 | 3 | | 42 | 2 | | 43 | 36 | | 44 | 44 | | 45 | 28 | | 46 | 2 | | 47 | 5 | | 48 | 25 | | 49 | 24 |
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| 97.10% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 43 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 115 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 81 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 638 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.034482758620689655 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.009404388714733543 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 81 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 81 | | mean | 12.78 | | std | 10.68 | | cv | 0.836 | | sampleLengths | | 0 | 5 | | 1 | 15 | | 2 | 13 | | 3 | 4 | | 4 | 33 | | 5 | 7 | | 6 | 6 | | 7 | 24 | | 8 | 3 | | 9 | 7 | | 10 | 21 | | 11 | 1 | | 12 | 13 | | 13 | 7 | | 14 | 31 | | 15 | 9 | | 16 | 7 | | 17 | 5 | | 18 | 36 | | 19 | 4 | | 20 | 5 | | 21 | 19 | | 22 | 29 | | 23 | 6 | | 24 | 11 | | 25 | 1 | | 26 | 36 | | 27 | 2 | | 28 | 3 | | 29 | 4 | | 30 | 20 | | 31 | 3 | | 32 | 18 | | 33 | 2 | | 34 | 29 | | 35 | 5 | | 36 | 18 | | 37 | 7 | | 38 | 4 | | 39 | 3 | | 40 | 5 | | 41 | 23 | | 42 | 19 | | 43 | 3 | | 44 | 10 | | 45 | 4 | | 46 | 12 | | 47 | 22 | | 48 | 4 | | 49 | 2 |
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| 85.19% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5185185185185185 | | totalSentences | 81 | | uniqueOpeners | 42 | |
| 81.30% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 41 | | matches | | 0 | "Instead, she turned the card" |
| | ratio | 0.024 | |
| 24.88% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 41 | | matches | | 0 | "She opened the door with" | | 1 | "His amber eye caught the" | | 2 | "She didn't move to unchain" | | 3 | "His voice dropped, losing its" | | 4 | "She hated how it did." | | 5 | "She slid the chain free." | | 6 | "He took in the chaos," | | 7 | "He set the cane against" | | 8 | "He looked up at her," | | 9 | "She said nothing." | | 10 | "He reached into his jacket," | | 11 | "She took it." | | 12 | "Her blood went cold." | | 13 | "His voice had gone quiet," | | 14 | "She sat down across from" | | 15 | "He studied her for a" | | 16 | "His fingers curled against the" | | 17 | "Her voice came out steadier" | | 18 | "He rose, testing his weight," | | 19 | "She hated that he was" |
| | ratio | 0.488 | |
| 20.98% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 36 | | totalSentences | 41 | | matches | | 0 | "The knock came in threes." | | 1 | "Rory recognised the rhythm before" | | 2 | "She opened the door with" | | 3 | "Lucien Moreau stood in the" | | 4 | "His amber eye caught the" | | 5 | "The black one gave nothing" | | 6 | "She didn't move to unchain" | | 7 | "Ptolemy the cat wound around" | | 8 | "His voice dropped, losing its" | | 9 | "That stopped her hand on" | | 10 | "She hated how it did." | | 11 | "She slid the chain free." | | 12 | "Lucien stepped inside, and the" | | 13 | "He took in the chaos," | | 14 | "He set the cane against" | | 15 | "He looked up at her," | | 16 | "Rory crossed her arms, staying" | | 17 | "She said nothing." | | 18 | "The silence answered for her." | | 19 | "He reached into his jacket," |
| | ratio | 0.878 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 41 | | matches | (empty) | | ratio | 0 | |
| 30.08% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 3 | | matches | | 0 | "Ptolemy the cat wound around her ankles, unbothered, purring at the stranger's scent like it belonged to somebody who visited often." | | 1 | "He set the cane against the sofa's arm, and she noticed, despite herself, the slight stiffness in how he lowered himself onto the cushion, as though something u…" | | 2 | "Rory crossed her arms, staying by the door, putting distance between them like it might do something useful." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 9 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 47 | | tagDensity | 0.021 | | leniency | 0.043 | | rawRatio | 1 | | effectiveRatio | 0.043 | |