| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 42 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.41% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1317 | | 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) | |
| 46.85% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1317 | | totalAiIsms | 14 | | found | | 0 | | | 1 | | | 2 | | | 3 | | word | "down her spine" | | count | 1 |
| | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | |
| | highlights | | 0 | "silk" | | 1 | "rhythmic" | | 2 | "comforting" | | 3 | "down her spine" | | 4 | "stomach" | | 5 | "pulsed" | | 6 | "throb" | | 7 | "could feel" | | 8 | "unwavering" | | 9 | "stark" | | 10 | "pulse" | | 11 | "long shadow" | | 12 | "tangible" | | 13 | "silence" |
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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 | 100 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 100 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 122 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 9 | | totalWords | 1317 | | ratio | 0.007 | | matches | | 0 | "A Theoretical Approach to Liminal Veils." | | 1 | "I left you." |
| |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 44 | | wordCount | 921 | | uniqueNames | 17 | | maxNameDensity | 1.63 | | worstName | "Lucien" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 15 | | Moreau | 3 | | Rory | 5 | | London | 2 | | Cardiff | 1 | | Evan | 3 | | Eva | 3 | | Theoretical | 1 | | Approach | 1 | | Liminal | 1 | | Alchemist | 1 | | Flask | 1 | | Ice | 1 | | Oxford | 1 | | Marseille | 1 | | Possession | 1 | | Five | 3 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Rory" | | 3 | "Evan" | | 4 | "Eva" | | 5 | "Ice" |
| | places | | 0 | "London" | | 1 | "Cardiff" | | 2 | "Liminal" | | 3 | "Alchemist" | | 4 | "Oxford" | | 5 | "Marseille" |
| | globalScore | 0.686 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.759 | | wordCount | 1317 | | matches | | 0 | "not for a weapon, but for a slim, black phone" |
| |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 122 | | matches | | 0 | "seen that face" | | 1 | "chose that moment" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 42 | | mean | 31.36 | | std | 19.3 | | cv | 0.616 | | sampleLengths | | 0 | 48 | | 1 | 21 | | 2 | 59 | | 3 | 6 | | 4 | 33 | | 5 | 73 | | 6 | 56 | | 7 | 21 | | 8 | 30 | | 9 | 34 | | 10 | 45 | | 11 | 4 | | 12 | 31 | | 13 | 12 | | 14 | 29 | | 15 | 20 | | 16 | 17 | | 17 | 2 | | 18 | 32 | | 19 | 12 | | 20 | 41 | | 21 | 45 | | 22 | 22 | | 23 | 33 | | 24 | 64 | | 25 | 5 | | 26 | 44 | | 27 | 19 | | 28 | 50 | | 29 | 49 | | 30 | 27 | | 31 | 4 | | 32 | 61 | | 33 | 5 | | 34 | 57 | | 35 | 25 | | 36 | 19 | | 37 | 37 | | 38 | 4 | | 39 | 13 | | 40 | 48 | | 41 | 60 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 59.15% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 142 | | matches | | 0 | "was unwavering" | | 1 | "was stealing" | | 2 | "was sniffing" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 122 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 925 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.024864864864864864 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010810810810810811 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 122 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 122 | | mean | 10.8 | | std | 7.6 | | cv | 0.704 | | sampleLengths | | 0 | 9 | | 1 | 14 | | 2 | 3 | | 3 | 22 | | 4 | 12 | | 5 | 9 | | 6 | 3 | | 7 | 13 | | 8 | 12 | | 9 | 2 | | 10 | 29 | | 11 | 6 | | 12 | 16 | | 13 | 17 | | 14 | 10 | | 15 | 11 | | 16 | 8 | | 17 | 4 | | 18 | 7 | | 19 | 15 | | 20 | 18 | | 21 | 4 | | 22 | 24 | | 23 | 1 | | 24 | 1 | | 25 | 16 | | 26 | 10 | | 27 | 13 | | 28 | 8 | | 29 | 20 | | 30 | 6 | | 31 | 4 | | 32 | 20 | | 33 | 14 | | 34 | 1 | | 35 | 2 | | 36 | 9 | | 37 | 10 | | 38 | 16 | | 39 | 7 | | 40 | 4 | | 41 | 11 | | 42 | 20 | | 43 | 5 | | 44 | 7 | | 45 | 8 | | 46 | 5 | | 47 | 3 | | 48 | 13 | | 49 | 20 |
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| 55.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.39344262295081966 | | totalSentences | 122 | | uniqueOpeners | 48 | |
| 74.07% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 90 | | matches | | 0 | "Instead, it sent a traitorous," | | 1 | "Then at the door." |
| | ratio | 0.022 | |
| 64.44% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 35 | | totalSentences | 90 | | matches | | 0 | "He hadn’t changed." | | 1 | "His voice was a low" | | 2 | "It scraped over her name" | | 3 | "She didn’t move." | | 4 | "Her heart hammered against her" | | 5 | "He stepped over the threshold," | | 6 | "He moved like smoke, silent" | | 7 | "He surveyed the room." | | 8 | "He ran a gloved finger" | | 9 | "She didn’t offer him a" | | 10 | "He turned, the black eye" | | 11 | "Her boss at The Alchemist’s" | | 12 | "It wasn’t a question" | | 13 | "He took a step closer" | | 14 | "I left you.* The words" | | 15 | "His voice dropped, losing its" | | 16 | "She was stronger now." | | 17 | "She knew the games, the" | | 18 | "He finally sank into the" | | 19 | "He laid his cane across" |
| | ratio | 0.389 | |
| 37.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 76 | | totalSentences | 90 | | matches | | 0 | "The chain caught three inches" | | 1 | "He hadn’t changed." | | 2 | "The same tailored charcoal suit," | | 3 | "His voice was a low" | | 4 | "It scraped over her name" | | 5 | "She didn’t move." | | 6 | "The crescent-shaped scar on her" | | 7 | "Her heart hammered against her" | | 8 | "A ghost of a smile" | | 9 | "A curse from the curry" | | 10 | "The smell of frying onions" | | 11 | "Rory’s fingers, numb on the" | | 12 | "The lock scraped open." | | 13 | "Lucien didn’t wait for a" | | 14 | "He stepped over the threshold," | | 15 | "He moved like smoke, silent" | | 16 | "He surveyed the room." | | 17 | "The narrow single bed against" | | 18 | "He ran a gloved finger" | | 19 | "*A Theoretical Approach to Liminal" |
| | ratio | 0.844 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 90 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 2 | | matches | | 0 | "The same tailored charcoal suit, the same scent of bergamot and something darker, like burnt sugar, that clung to his ivory-handled cane." | | 1 | "The boy from Marseille with demon’s eyes and a human heart, who’d taught her card games in three languages and kissed like he was stealing her soul." |
| |
| 58.33% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 2 | | matches | | 0 | "Lucien observed, his gaze lingering on the cat" | | 1 | "He moved, his cane resuming its soft tap-tap-tap" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "Lucien observed (observe)" | | 1 | "she telling (she telling)" |
| | dialogueSentences | 42 | | tagDensity | 0.048 | | leniency | 0.095 | | rawRatio | 1 | | effectiveRatio | 0.095 | |