| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 56 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.25% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1332 | | 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) | |
| 47.45% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1332 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "unreadable" | | 1 | "chaotic" | | 2 | "weight" | | 3 | "echoed" | | 4 | "tracing" | | 5 | "silence" | | 6 | "stomach" | | 7 | "tension" | | 8 | "perfect" | | 9 | "measured" | | 10 | "normalcy" | | 11 | "mechanical" |
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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 | 89 | | matches | (empty) | |
| 78.65% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 3 | | narrationSentences | 89 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "managed to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 125 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1334 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 887 | | uniqueNames | 8 | | maxNameDensity | 0.79 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Moreau | 2 | | Brick | 1 | | Lane | 1 | | Eva | 4 | | Rory | 7 | | Lucien | 5 | | Silas | 1 | | London | 1 |
| | persons | | 0 | "Moreau" | | 1 | "Eva" | | 2 | "Rory" | | 3 | "Lucien" | | 4 | "Silas" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 68.03% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a piece of the city’s night h" | | 1 | "felt like it should belong to a jazz si" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.75 | | wordCount | 1334 | | matches | | 0 | "not to grab her, but to hover near her arm" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 125 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 24.7 | | std | 17.48 | | cv | 0.708 | | sampleLengths | | 0 | 27 | | 1 | 64 | | 2 | 24 | | 3 | 14 | | 4 | 32 | | 5 | 1 | | 6 | 50 | | 7 | 35 | | 8 | 20 | | 9 | 28 | | 10 | 17 | | 11 | 60 | | 12 | 26 | | 13 | 35 | | 14 | 5 | | 15 | 10 | | 16 | 65 | | 17 | 10 | | 18 | 41 | | 19 | 6 | | 20 | 32 | | 21 | 7 | | 22 | 49 | | 23 | 3 | | 24 | 11 | | 25 | 25 | | 26 | 65 | | 27 | 6 | | 28 | 4 | | 29 | 11 | | 30 | 42 | | 31 | 8 | | 32 | 7 | | 33 | 4 | | 34 | 41 | | 35 | 4 | | 36 | 36 | | 37 | 15 | | 38 | 21 | | 39 | 15 | | 40 | 35 | | 41 | 20 | | 42 | 1 | | 43 | 32 | | 44 | 15 | | 45 | 31 | | 46 | 20 | | 47 | 40 | | 48 | 16 | | 49 | 29 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 89 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 149 | | matches | | 0 | "wasn’t looking" | | 1 | "was hunting" |
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| 51.43% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 125 | | ratio | 0.032 | | matches | | 0 | "He looked like a piece of the city’s night had broken off and climbed the stairs — charcoal suit immaculate, platinum hair slicked back, one hand resting on the ivory head of his cane." | | 1 | "“Aurora.” His voice was the same — a low, smooth baritone that felt like it should belong to a jazz singer, not a half-demon fixer." | | 2 | "His gaze moved past her, taking in the chaotic interior of Eva’s flat — the towers of books threatening to topple, the scrolls weighted down by mugs, the single tabby cat observing from the top of a filing cabinet." | | 3 | "All the old defences — the anger, the coldness she’d practiced in the mirror after leaving him — crumbled." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 570 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.02982456140350877 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.010526315789473684 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 125 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 125 | | mean | 10.67 | | std | 7.91 | | cv | 0.741 | | sampleLengths | | 0 | 9 | | 1 | 15 | | 2 | 3 | | 3 | 19 | | 4 | 34 | | 5 | 11 | | 6 | 5 | | 7 | 19 | | 8 | 4 | | 9 | 10 | | 10 | 25 | | 11 | 3 | | 12 | 4 | | 13 | 1 | | 14 | 6 | | 15 | 39 | | 16 | 5 | | 17 | 11 | | 18 | 17 | | 19 | 7 | | 20 | 16 | | 21 | 4 | | 22 | 5 | | 23 | 19 | | 24 | 4 | | 25 | 16 | | 26 | 1 | | 27 | 4 | | 28 | 4 | | 29 | 17 | | 30 | 16 | | 31 | 6 | | 32 | 13 | | 33 | 11 | | 34 | 6 | | 35 | 8 | | 36 | 1 | | 37 | 17 | | 38 | 5 | | 39 | 13 | | 40 | 5 | | 41 | 5 | | 42 | 5 | | 43 | 14 | | 44 | 13 | | 45 | 16 | | 46 | 4 | | 47 | 10 | | 48 | 5 | | 49 | 3 |
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| 51.73% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.344 | | totalSentences | 125 | | uniqueOpeners | 43 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 86 | | matches | | 0 | "It died there." | | 1 | "He looked like a piece" | | 2 | "she finally said" | | 3 | "His voice was the same" | | 4 | "He didn’t smile." | | 5 | "He didn’t react to the" | | 6 | "His gaze moved past her," | | 7 | "She made no move to" | | 8 | "Her left hand, the one" | | 9 | "He shifted his weight, a" | | 10 | "His heterochromatic eyes held hers" | | 11 | "He never said please." | | 12 | "She stepped back, letting the" | | 13 | "He seemed too large for" | | 14 | "He didn’t take off his" | | 15 | "She turned, crossing her arms" | | 16 | "He wasn’t looking at her." | | 17 | "His mouth on hers, his" | | 18 | "Her questions about his father," | | 19 | "His stone wall of silence." |
| | ratio | 0.57 | |
| 29.77% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 86 | | matches | | 0 | "The third deadbolt slid back" | | 1 | "Rory pulled the door open," | | 2 | "It died there." | | 3 | "Lucien Moreau stood on the" | | 4 | "He looked like a piece" | | 5 | "The amber and black of" | | 6 | "The distant honk of Brick" | | 7 | "she finally said" | | 8 | "The word was flat, a" | | 9 | "His voice was the same" | | 10 | "He didn’t smile." | | 11 | "He didn’t react to the" | | 12 | "His gaze moved past her," | | 13 | "She made no move to" | | 14 | "Her left hand, the one" | | 15 | "He shifted his weight, a" | | 16 | "The air left Rory’s lungs." | | 17 | "His heterochromatic eyes held hers" | | 18 | "He never said please." | | 19 | "She stepped back, letting the" |
| | ratio | 0.86 | |
| 58.14% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 86 | | matches | | | ratio | 0.012 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 29 | | technicalSentenceCount | 1 | | matches | | 0 | "She leaned against it, pressing her scarred wrist to her forehead, listening to the silence of the other room." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 2 | | matches | | 0 | "Rory said, her voice quiet" | | 1 | "he agreed, his voice a low murmur" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 2 | | fancyTags | | 0 | "Rory muttered (mutter)" | | 1 | "he agreed (agree)" |
| | dialogueSentences | 56 | | tagDensity | 0.107 | | leniency | 0.214 | | rawRatio | 0.333 | | effectiveRatio | 0.071 | |