| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 54 | | tagDensity | 0.296 | | leniency | 0.593 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.37% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1376 | | 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) | |
| 85.47% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1376 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "silence" | | 1 | "solitary" | | 2 | "familiar" |
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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 | 52 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 52 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 59 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1384 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 90.08% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 751 | | uniqueNames | 8 | | maxNameDensity | 1.2 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Lucien | 9 | | Moreau | 3 | | Ptolemy | 3 | | Brick | 3 | | Lane | 3 | | Eva | 3 | | Rory | 9 | | French | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Ptolemy" | | 3 | "Eva" | | 4 | "Rory" |
| | places | | | globalScore | 0.901 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 43 | | 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 | 1384 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 89 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 25.63 | | std | 23.77 | | cv | 0.927 | | sampleLengths | | 0 | 22 | | 1 | 35 | | 2 | 11 | | 3 | 1 | | 4 | 27 | | 5 | 7 | | 6 | 10 | | 7 | 32 | | 8 | 13 | | 9 | 25 | | 10 | 7 | | 11 | 56 | | 12 | 1 | | 13 | 33 | | 14 | 6 | | 15 | 40 | | 16 | 11 | | 17 | 32 | | 18 | 35 | | 19 | 3 | | 20 | 44 | | 21 | 4 | | 22 | 1 | | 23 | 46 | | 24 | 40 | | 25 | 23 | | 26 | 16 | | 27 | 9 | | 28 | 6 | | 29 | 72 | | 30 | 4 | | 31 | 82 | | 32 | 61 | | 33 | 91 | | 34 | 27 | | 35 | 4 | | 36 | 1 | | 37 | 4 | | 38 | 2 | | 39 | 90 | | 40 | 10 | | 41 | 16 | | 42 | 10 | | 43 | 62 | | 44 | 13 | | 45 | 6 | | 46 | 48 | | 47 | 9 | | 48 | 27 | | 49 | 10 |
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| 98.52% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 52 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 122 | | matches | (empty) | |
| 14.45% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 89 | | ratio | 0.045 | | matches | | 0 | "Lucien stepped inside and took in the flat — Eva's books on every surface, scrolls weighed down with mugs, three days of Rory's solitary existence fermenting in the sink." | | 1 | "\"I'll let you know.\" She reached for two of Eva's chipped mugs, then caught him watching her — not her face." | | 2 | "He went still — the whole polished apparatus of him holding its breath — and she kissed him once, brief and deliberate, then let go of the lapel." | | 3 | "She made the tea strong, the way he took it, and put the mug into his hand, and he finally sat — uninvited, unobjected to — with the cat adjudicating from his folded coat." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 746 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.03351206434316354 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.006702412868632708 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 15.55 | | std | 12.81 | | cv | 0.824 | | sampleLengths | | 0 | 22 | | 1 | 8 | | 2 | 27 | | 3 | 5 | | 4 | 6 | | 5 | 1 | | 6 | 14 | | 7 | 13 | | 8 | 7 | | 9 | 10 | | 10 | 9 | | 11 | 6 | | 12 | 17 | | 13 | 9 | | 14 | 4 | | 15 | 25 | | 16 | 7 | | 17 | 29 | | 18 | 11 | | 19 | 16 | | 20 | 1 | | 21 | 33 | | 22 | 6 | | 23 | 26 | | 24 | 14 | | 25 | 4 | | 26 | 7 | | 27 | 32 | | 28 | 19 | | 29 | 16 | | 30 | 3 | | 31 | 44 | | 32 | 4 | | 33 | 1 | | 34 | 26 | | 35 | 20 | | 36 | 40 | | 37 | 10 | | 38 | 13 | | 39 | 3 | | 40 | 13 | | 41 | 9 | | 42 | 6 | | 43 | 18 | | 44 | 54 | | 45 | 4 | | 46 | 29 | | 47 | 53 | | 48 | 6 | | 49 | 15 |
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| 78.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.48314606741573035 | | totalSentences | 89 | | uniqueOpeners | 43 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 47 | | matches | | 0 | "Somewhere below, the curry house" | | 1 | "Once, months ago, he'd asked" |
| | ratio | 0.043 | |
| 49.79% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 47 | | matches | | 0 | "She swung the door shut." | | 1 | "Her hand stopped on the" | | 2 | "she said, and opened the" | | 3 | "He stood beside the only" | | 4 | "He'd never once sat in" | | 5 | "He reached inside his coat" | | 6 | "Her voice came out harder" | | 7 | "She jabbed a finger at" | | 8 | "He turned one hand over," | | 9 | "She crossed to the kitchenette," | | 10 | "She reached for two of" | | 11 | "Her left wrist, where the" | | 12 | "He hadn't believed her then" | | 13 | "She pushed the sleeve up" | | 14 | "he added, almost to himself," | | 15 | "He straightened from the chair," | | 16 | "She crossed the room before" | | 17 | "He went still — the" | | 18 | "He shrugged out of the" | | 19 | "She made the tea strong," |
| | ratio | 0.426 | |
| 2.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 47 | | matches | | 0 | "Rory slid the third deadbolt" | | 1 | "Platinum hair gone dark at" | | 2 | "She swung the door shut." | | 3 | "The cane's ferrule stopped it" | | 4 | "Marseille still lived under his" | | 5 | "Her hand stopped on the" | | 6 | "Rain ticked somewhere down the" | | 7 | "The curry house extractor hummed" | | 8 | "she said, and opened the" | | 9 | "Ptolemy uncoiled from a tower" | | 10 | "Rory told the cat" | | 11 | "Lucien stepped inside and took" | | 12 | "He stood beside the only" | | 13 | "He'd never once sat in" | | 14 | "The corner of his mouth" | | 15 | "Rory folded her arms." | | 16 | "The old heat came up" | | 17 | "Lucien said nothing." | | 18 | "He reached inside his coat" | | 19 | "Ptolemy claimed it at once," |
| | ratio | 0.915 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 47 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 1 | | matches | | 0 | "Lucien looked at her for a long moment, and then he did something she'd never seen him do: he leaned the cane against the arm of the chair, which was as close a…" |
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| 93.75% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 1 | | matches | | 0 | "He straightened, and the lamp caught the black eye, the amber one, both of them steady on her" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 54 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.111 | | effectiveRatio | 0.037 | |