| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 2 | | adverbTags | | 0 | "He gestured vaguely [vaguely]" | | 1 | "I pulled back [back]" |
| | dialogueSentences | 41 | | tagDensity | 0.341 | | leniency | 0.683 | | rawRatio | 0.143 | | effectiveRatio | 0.098 | |
| 87.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1184 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "perfectly" | | 1 | "softly" | | 2 | "carefully" |
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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) | |
| 53.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1184 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "familiar" | | 1 | "silk" | | 2 | "pulse" | | 3 | "flawless" | | 4 | "ensure" | | 5 | "rhythmic" | | 6 | "constructed" | | 7 | "fractured" | | 8 | "could feel" | | 9 | "pounding" | | 10 | "echoed" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 75 | | matches | (empty) | |
| 85.71% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 3 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 1179 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 804 | | uniqueNames | 11 | | maxNameDensity | 0.75 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Eva | 4 | | Moreau | 1 | | Ptolemy | 2 | | Cardiff | 1 | | Lucien | 6 | | Evan | 1 | | Tick-tock | 1 | | Brick | 1 | | Lane | 1 | | Piles | 1 | | London | 1 |
| | persons | | 0 | "Eva" | | 1 | "Moreau" | | 2 | "Ptolemy" | | 3 | "Lucien" | | 4 | "Evan" |
| | places | | 0 | "Cardiff" | | 1 | "Tick-tock" | | 2 | "Brick" | | 3 | "Lane" | | 4 | "London" |
| | globalScore | 1 | | windowScore | 1 | |
| 55.66% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 2 | | matches | | 0 | "sounded like a judgement from his lips" | | 1 | "something like amusement" |
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| 30.36% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.696 | | wordCount | 1179 | | matches | | 0 | "not to touch me, but to brush a stray strand of black hair from my face" | | 1 | "Not from the street, but from inside the building" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 26.2 | | std | 21.37 | | cv | 0.816 | | sampleLengths | | 0 | 32 | | 1 | 3 | | 2 | 86 | | 3 | 18 | | 4 | 1 | | 5 | 15 | | 6 | 7 | | 7 | 26 | | 8 | 1 | | 9 | 26 | | 10 | 55 | | 11 | 28 | | 12 | 10 | | 13 | 18 | | 14 | 63 | | 15 | 13 | | 16 | 43 | | 17 | 3 | | 18 | 9 | | 19 | 34 | | 20 | 62 | | 21 | 19 | | 22 | 4 | | 23 | 44 | | 24 | 60 | | 25 | 11 | | 26 | 43 | | 27 | 42 | | 28 | 11 | | 29 | 37 | | 30 | 9 | | 31 | 42 | | 32 | 60 | | 33 | 60 | | 34 | 17 | | 35 | 11 | | 36 | 23 | | 37 | 5 | | 38 | 4 | | 39 | 4 | | 40 | 43 | | 41 | 49 | | 42 | 4 | | 43 | 15 | | 44 | 9 |
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| 95.91% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 75 | | matches | | 0 | "was slicked" | | 1 | "was gone" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 130 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 101 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 809 | | adjectiveStacks | 1 | | stackExamples | | 0 | "cramped, book-choked interior" |
| | adverbCount | 27 | | adverbRatio | 0.03337453646477132 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.014833127317676144 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 11.67 | | std | 8.71 | | cv | 0.746 | | sampleLengths | | 0 | 20 | | 1 | 12 | | 2 | 3 | | 3 | 14 | | 4 | 42 | | 5 | 30 | | 6 | 10 | | 7 | 8 | | 8 | 1 | | 9 | 9 | | 10 | 6 | | 11 | 7 | | 12 | 24 | | 13 | 2 | | 14 | 1 | | 15 | 8 | | 16 | 7 | | 17 | 11 | | 18 | 33 | | 19 | 22 | | 20 | 15 | | 21 | 6 | | 22 | 7 | | 23 | 10 | | 24 | 18 | | 25 | 20 | | 26 | 10 | | 27 | 5 | | 28 | 7 | | 29 | 21 | | 30 | 13 | | 31 | 17 | | 32 | 3 | | 33 | 3 | | 34 | 20 | | 35 | 3 | | 36 | 9 | | 37 | 5 | | 38 | 5 | | 39 | 5 | | 40 | 12 | | 41 | 7 | | 42 | 16 | | 43 | 46 | | 44 | 10 | | 45 | 9 | | 46 | 4 | | 47 | 20 | | 48 | 1 | | 49 | 5 |
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| 62.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4158415841584158 | | totalSentences | 101 | | uniqueOpeners | 42 | |
| 46.95% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 71 | | matches | | 0 | "At least, that's what I" |
| | ratio | 0.014 | |
| 5.92% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 38 | | totalSentences | 71 | | matches | | 0 | "I swung the heavy door" | | 1 | "It wasn't Eva." | | 2 | "His platinum hair was slicked" | | 3 | "He offered a smile that" | | 4 | "My name sounded like a" | | 5 | "My hand tightened on the" | | 6 | "He gestured vaguely with his" | | 7 | "I kept my body blocking" | | 8 | "His focus was entirely on" | | 9 | "he asked, his voice smooth" | | 10 | "I felt the crescent-shaped scar" | | 11 | "I learned about men like" | | 12 | "It was easier than admitting" | | 13 | "He took a single, deliberate" | | 14 | "I didn’t move." | | 15 | "He knew she was gone." | | 16 | "He had come for me." | | 17 | "My heart hammered against my" | | 18 | "His gaze swept over me," | | 19 | "He leaned closer, his voice" |
| | ratio | 0.535 | |
| 2.25% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 71 | | matches | | 0 | "The third deadbolt slid back" | | 1 | "I swung the heavy door" | | 2 | "It wasn't Eva." | | 3 | "Lucien Moreau stood on the" | | 4 | "Rain hadn't dared to touch" | | 5 | "His platinum hair was slicked" | | 6 | "He offered a smile that" | | 7 | "An ivory-handled cane rested under" | | 8 | "My name sounded like a" | | 9 | "My hand tightened on the" | | 10 | "He gestured vaguely with his" | | 11 | "The amber eye glinted with" | | 12 | "The black one remained impassive," | | 13 | "I kept my body blocking" | | 14 | "A tabby cat, Ptolemy, wound" | | 15 | "Lucien didn't even glance down" | | 16 | "His focus was entirely on" | | 17 | "he asked, his voice smooth" | | 18 | "I felt the crescent-shaped scar" | | 19 | "I learned about men like" |
| | ratio | 0.915 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 1 | | matches | | 0 | "The smell of frying onions and turmeric wafted up the stairs, a ridiculously mundane scent for a moment that felt anything but." |
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| 17.86% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 3 | | matches | | 0 | "he asked, his voice smooth as silk sliding over a blade" | | 1 | "he said, his fingers lingering for a heartbeat near my temple" | | 2 | "I pulled back, the spell broken" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.073 | | leniency | 0.146 | | rawRatio | 0 | | effectiveRatio | 0 | |