| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 1 | | adverbTags | | 0 | "Rory stepped back [back]" |
| | dialogueSentences | 49 | | tagDensity | 0.204 | | leniency | 0.408 | | rawRatio | 0.1 | | effectiveRatio | 0.041 | |
| 90.03% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1003 | | 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) | |
| 60.12% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1003 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "stomach" | | 1 | "intensity" | | 2 | "pulse" | | 3 | "weight" | | 4 | "flickered" | | 5 | "stark" | | 6 | "familiar" | | 7 | "racing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 55 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 55 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 92 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 997 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 89.97% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 583 | | uniqueNames | 9 | | maxNameDensity | 1.2 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Prague | 2 | | Lucien | 7 | | Moreau | 1 | | Eva | 5 | | French | 1 | | Ptolemy | 2 | | British | 1 | | Library | 1 | | Rory | 7 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Eva" | | 3 | "Ptolemy" | | 4 | "Rory" |
| | places | | 0 | "Prague" | | 1 | "British" | | 2 | "Library" |
| | globalScore | 0.9 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 45 | | 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 | 997 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 92 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 17.8 | | std | 13.44 | | cv | 0.755 | | sampleLengths | | 0 | 21 | | 1 | 2 | | 2 | 45 | | 3 | 59 | | 4 | 2 | | 5 | 25 | | 6 | 13 | | 7 | 27 | | 8 | 4 | | 9 | 19 | | 10 | 17 | | 11 | 6 | | 12 | 31 | | 13 | 49 | | 14 | 14 | | 15 | 13 | | 16 | 14 | | 17 | 5 | | 18 | 32 | | 19 | 6 | | 20 | 20 | | 21 | 1 | | 22 | 14 | | 23 | 30 | | 24 | 29 | | 25 | 33 | | 26 | 7 | | 27 | 6 | | 28 | 36 | | 29 | 6 | | 30 | 30 | | 31 | 27 | | 32 | 17 | | 33 | 3 | | 34 | 4 | | 35 | 21 | | 36 | 1 | | 37 | 17 | | 38 | 42 | | 39 | 16 | | 40 | 15 | | 41 | 6 | | 42 | 9 | | 43 | 4 | | 44 | 6 | | 45 | 23 | | 46 | 3 | | 47 | 30 | | 48 | 4 | | 49 | 18 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 55 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 99 | | matches | (empty) | |
| 18.63% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 92 | | ratio | 0.043 | | matches | | 0 | "His platinum hair caught the flickering light from the corridor's single bulb, and those mismatched eyes—amber and black—fixed on her with an intensity that made her pulse quicken." | | 1 | "Something flickered across his face—regret, perhaps, or pain." | | 2 | "He stepped closer, close enough that she could smell his cologne—cedar and smoke, expensive and distinctly him." | | 3 | "The kettle sat cold on the hob—Eva was probably at the British Library again, pulling another all-nighter with her research." |
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| 99.35% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 589 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.04074702886247878 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.008488964346349746 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 92 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 92 | | mean | 10.84 | | std | 6.77 | | cv | 0.624 | | sampleLengths | | 0 | 15 | | 1 | 6 | | 2 | 2 | | 3 | 12 | | 4 | 2 | | 5 | 31 | | 6 | 4 | | 7 | 27 | | 8 | 28 | | 9 | 2 | | 10 | 19 | | 11 | 6 | | 12 | 5 | | 13 | 8 | | 14 | 13 | | 15 | 14 | | 16 | 4 | | 17 | 19 | | 18 | 8 | | 19 | 9 | | 20 | 6 | | 21 | 7 | | 22 | 24 | | 23 | 17 | | 24 | 16 | | 25 | 16 | | 26 | 14 | | 27 | 13 | | 28 | 4 | | 29 | 10 | | 30 | 5 | | 31 | 8 | | 32 | 24 | | 33 | 6 | | 34 | 8 | | 35 | 12 | | 36 | 1 | | 37 | 14 | | 38 | 17 | | 39 | 13 | | 40 | 9 | | 41 | 20 | | 42 | 6 | | 43 | 9 | | 44 | 18 | | 45 | 7 | | 46 | 6 | | 47 | 15 | | 48 | 21 | | 49 | 6 |
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| 79.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5108695652173914 | | totalSentences | 92 | | uniqueOpeners | 47 | |
| 64.10% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 52 | | matches | | | ratio | 0.019 | |
| 81.54% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 52 | | matches | | 0 | "She fumbled with the chain," | | 1 | "She pulled the door wide," | | 2 | "His platinum hair caught the" | | 3 | "His voice still carried that" | | 4 | "She gripped the doorframe" | | 5 | "It vanished so quickly she" | | 6 | "He moved past her into" | | 7 | "His jaw tightened, and he" | | 8 | "He stepped closer, close enough" | | 9 | "Her voice cracked despite her" | | 10 | "His accent thickened, the way" | | 11 | "He moved away from her," | | 12 | "She held up a hand" | | 13 | "She moved to the kitchenette," | | 14 | "She spun around, kettle forgotten." | | 15 | "She gripped the counter for" | | 16 | "She stared at him, searching" | | 17 | "He stepped closer, his voice" |
| | ratio | 0.346 | |
| 27.31% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 52 | | matches | | 0 | "The door opened a crack," | | 1 | "Rory's stomach dropped to her" | | 2 | "She fumbled with the chain," | | 3 | "The chain clattered free." | | 4 | "She pulled the door wide," | | 5 | "His platinum hair caught the" | | 6 | "His voice still carried that" | | 7 | "She gripped the doorframe" | | 8 | "Lucien's ivory cane tapped against" | | 9 | "A habit she remembered from" | | 10 | "Something flickered across his face—regret," | | 11 | "It vanished so quickly she" | | 12 | "Rory stepped back, letting him" | | 13 | "He moved past her into" | | 14 | "Books and scrolls covered every" | | 15 | "Ptolemy, the tabby cat, watched" | | 16 | "Lucien gestured at the controlled" | | 17 | "The barb hit home." | | 18 | "His jaw tightened, and he" | | 19 | "Rory crossed her arms" |
| | ratio | 0.865 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 52 | | matches | | 0 | "Now it just made her" | | 1 | "Even Eva's familiar had always" |
| | ratio | 0.038 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 2 | | matches | | 0 | "His platinum hair caught the flickering light from the corridor's single bulb, and those mismatched eyes—amber and black—fixed on her with an intensity that mad…" | | 1 | "His voice still carried that smoky French accent that had once made her knees weak in a Prague safehouse." |
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| 75.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 1 | | matches | | 0 | "He stepped, his voice dropping low" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |