| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 43 | | tagDensity | 0.395 | | leniency | 0.791 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1090 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "precisely" | | 1 | "truly" | | 2 | "very" |
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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) | |
| 77.06% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1090 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "silence" | | 1 | "whisper" | | 2 | "traced" | | 3 | "warmth" |
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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 | 53 | | matches | (empty) | |
| 88.95% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 53 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 47 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1093 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 606 | | uniqueNames | 7 | | maxNameDensity | 0.83 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Eva | 2 | | Ptolemy | 4 | | Moreau | 1 | | Marseille | 1 | | Rory | 5 | | Lucien | 3 | | Heat | 1 |
| | persons | | 0 | "Eva" | | 1 | "Ptolemy" | | 2 | "Moreau" | | 3 | "Rory" | | 4 | "Lucien" | | 5 | "Heat" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 34 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.915 | | wordCount | 1093 | | matches | | 0 | "not the same wish, but in Marseille they could not both be granted" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 77 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 44 | | mean | 24.84 | | std | 20.81 | | cv | 0.838 | | sampleLengths | | 0 | 37 | | 1 | 17 | | 2 | 4 | | 3 | 32 | | 4 | 8 | | 5 | 37 | | 6 | 9 | | 7 | 29 | | 8 | 5 | | 9 | 27 | | 10 | 33 | | 11 | 21 | | 12 | 2 | | 13 | 47 | | 14 | 5 | | 15 | 26 | | 16 | 3 | | 17 | 66 | | 18 | 5 | | 19 | 9 | | 20 | 43 | | 21 | 56 | | 22 | 6 | | 23 | 7 | | 24 | 17 | | 25 | 24 | | 26 | 10 | | 27 | 40 | | 28 | 7 | | 29 | 6 | | 30 | 23 | | 31 | 18 | | 32 | 54 | | 33 | 7 | | 34 | 94 | | 35 | 23 | | 36 | 44 | | 37 | 70 | | 38 | 31 | | 39 | 10 | | 40 | 7 | | 41 | 45 | | 42 | 24 | | 43 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 53 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 106 | | matches | (empty) | |
| 68.65% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 77 | | ratio | 0.026 | | matches | | 0 | "He'd always done that — filled rooms he had no right to fill, made cramped spaces feel like antechambers to somewhere grander." | | 1 | "Something shifted in his expression — the practised calm slipping, just for a breath." |
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| 92.96% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 607 | | adjectiveStacks | 1 | | stackExamples | | 0 | "careful, cool-headed instinct" |
| | adverbCount | 25 | | adverbRatio | 0.04118616144975288 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.006589785831960461 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 14.19 | | std | 10.75 | | cv | 0.757 | | sampleLengths | | 0 | 16 | | 1 | 21 | | 2 | 17 | | 3 | 4 | | 4 | 7 | | 5 | 2 | | 6 | 23 | | 7 | 8 | | 8 | 30 | | 9 | 7 | | 10 | 4 | | 11 | 5 | | 12 | 17 | | 13 | 12 | | 14 | 5 | | 15 | 6 | | 16 | 21 | | 17 | 4 | | 18 | 8 | | 19 | 21 | | 20 | 10 | | 21 | 11 | | 22 | 2 | | 23 | 10 | | 24 | 22 | | 25 | 15 | | 26 | 5 | | 27 | 21 | | 28 | 5 | | 29 | 3 | | 30 | 22 | | 31 | 44 | | 32 | 5 | | 33 | 9 | | 34 | 16 | | 35 | 27 | | 36 | 37 | | 37 | 19 | | 38 | 6 | | 39 | 7 | | 40 | 17 | | 41 | 14 | | 42 | 10 | | 43 | 10 | | 44 | 16 | | 45 | 1 | | 46 | 23 | | 47 | 7 | | 48 | 6 | | 49 | 4 |
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| 58.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.4155844155844156 | | totalSentences | 77 | | uniqueOpeners | 32 | |
| 75.76% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 44 | | matches | | 0 | "Instead she leaned into his" |
| | ratio | 0.023 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 44 | | matches | | 0 | "She gripped the edge of" | | 1 | "His mismatched gaze moved past" | | 2 | "She started to close the" | | 3 | "His cane wedged into the" | | 4 | "Her full name" | | 5 | "He only used it when" | | 6 | "He crossed the threshold, and" | | 7 | "He'd always done that —" | | 8 | "He set his cane against" | | 9 | "She folded her arms" | | 10 | "Her voice cracked on the" | | 11 | "He moved further into the" | | 12 | "He shook his head" | | 13 | "She said it without hesitation," | | 14 | "He looked away, toward the" | | 15 | "She turned away, busied her" | | 16 | "He straightened, slow, one hand" | | 17 | "She set down the book." | | 18 | "His amber eye found hers," | | 19 | "she said, softer now, less" |
| | ratio | 0.568 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 44 | | matches | | 0 | "The three deadbolts gave way" | | 1 | "Rory pulled the door back," | | 2 | "Lucien Moreau stood on the" | | 3 | "She gripped the edge of" | | 4 | "His mismatched gaze moved past" | | 5 | "Rory didn't move" | | 6 | "The corner of his mouth" | | 7 | "She started to close the" | | 8 | "His cane wedged into the" | | 9 | "Her full name" | | 10 | "He only used it when" | | 11 | "Ptolemy lifted his head, ears" | | 12 | "Rory held Lucien's stare for" | | 13 | "He crossed the threshold, and" | | 14 | "He'd always done that —" | | 15 | "He set his cane against" | | 16 | "She folded her arms" | | 17 | "Her voice cracked on the" | | 18 | "He moved further into the" | | 19 | "The light from the window" |
| | ratio | 0.932 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 1 | | matches | | 0 | "She turned away, busied her hands with a stack of Eva's books, squaring their edges that didn't need squaring." |
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| 95.59% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 1 | | matches | | 0 | "She said, and the word hung between them, raw as an open palm" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 2 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "she whispered (whisper)" |
| | dialogueSentences | 43 | | tagDensity | 0.163 | | leniency | 0.326 | | rawRatio | 0.286 | | effectiveRatio | 0.093 | |