| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 20 | | adverbTagCount | 2 | | adverbTags | | 0 | "His fingers tightened once [once]" | | 1 | "Lucien said again [again]" |
| | dialogueSentences | 105 | | tagDensity | 0.19 | | leniency | 0.381 | | rawRatio | 0.1 | | effectiveRatio | 0.038 | |
| 97.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1875 | | 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) | |
| 86.67% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1875 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "stomach" | | 1 | "familiar" | | 2 | "tracing" | | 3 | "could feel" | | 4 | "weight" |
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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 | 122 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 122 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 207 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 48 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1875 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 35 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 1145 | | uniqueNames | 11 | | maxNameDensity | 1.75 | | worstName | "Lucien" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Lucien" | | discoveredNames | | Rory | 17 | | Lucien | 20 | | Moreau | 1 | | Golden | 1 | | Empress | 1 | | Silas | 4 | | Evan | 3 | | Eva | 1 | | Ptolemy | 1 | | French | 1 | | Three | 4 |
| | persons | | 0 | "Rory" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Silas" | | 4 | "Evan" | | 5 | "Eva" | | 6 | "Ptolemy" | | 7 | "French" |
| | places | | | globalScore | 0.627 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 80 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1875 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 207 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 119 | | mean | 15.76 | | std | 17.12 | | cv | 1.087 | | sampleLengths | | 0 | 28 | | 1 | 37 | | 2 | 3 | | 3 | 4 | | 4 | 5 | | 5 | 56 | | 6 | 9 | | 7 | 2 | | 8 | 10 | | 9 | 31 | | 10 | 12 | | 11 | 15 | | 12 | 2 | | 13 | 10 | | 14 | 10 | | 15 | 14 | | 16 | 12 | | 17 | 2 | | 18 | 5 | | 19 | 1 | | 20 | 12 | | 21 | 44 | | 22 | 7 | | 23 | 7 | | 24 | 4 | | 25 | 8 | | 26 | 32 | | 27 | 9 | | 28 | 11 | | 29 | 25 | | 30 | 2 | | 31 | 26 | | 32 | 50 | | 33 | 68 | | 34 | 8 | | 35 | 1 | | 36 | 9 | | 37 | 1 | | 38 | 1 | | 39 | 23 | | 40 | 5 | | 41 | 4 | | 42 | 19 | | 43 | 4 | | 44 | 53 | | 45 | 36 | | 46 | 2 | | 47 | 3 | | 48 | 30 | | 49 | 82 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 122 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 218 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 207 | | ratio | 0.014 | | matches | | 0 | "If she’d gone down for a drink—" | | 1 | "Silas owned the bar and the flat above it; nobody got past him without an explanation." | | 2 | "She had not put away the second one in the three weeks since he’d last been there; it sat where she always left it, near the front of the shelf." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1148 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.036585365853658534 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.008710801393728223 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 207 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 207 | | mean | 9.06 | | std | 7.39 | | cv | 0.816 | | sampleLengths | | 0 | 15 | | 1 | 13 | | 2 | 9 | | 3 | 28 | | 4 | 3 | | 5 | 4 | | 6 | 5 | | 7 | 15 | | 8 | 5 | | 9 | 5 | | 10 | 24 | | 11 | 7 | | 12 | 9 | | 13 | 2 | | 14 | 8 | | 15 | 2 | | 16 | 7 | | 17 | 24 | | 18 | 5 | | 19 | 7 | | 20 | 8 | | 21 | 7 | | 22 | 2 | | 23 | 2 | | 24 | 8 | | 25 | 10 | | 26 | 9 | | 27 | 5 | | 28 | 12 | | 29 | 2 | | 30 | 5 | | 31 | 1 | | 32 | 12 | | 33 | 7 | | 34 | 8 | | 35 | 22 | | 36 | 7 | | 37 | 7 | | 38 | 7 | | 39 | 4 | | 40 | 8 | | 41 | 4 | | 42 | 16 | | 43 | 5 | | 44 | 7 | | 45 | 9 | | 46 | 11 | | 47 | 4 | | 48 | 2 | | 49 | 15 |
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| 38.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 23 | | diversityRatio | 0.2560386473429952 | | totalSentences | 207 | | uniqueOpeners | 53 | |
| 62.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 107 | | matches | | 0 | "Instead she kept hold of" | | 1 | "Of course he did." |
| | ratio | 0.019 | |
| 55.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 107 | | matches | | 0 | "She had imagined him turning" | | 1 | "His fingers tightened once around" | | 2 | "She stiffened before she could" | | 3 | "He saw it and withdrew" | | 4 | "She looked past Lucien at" | | 5 | "She’d been sitting on her" | | 6 | "His face changed then." | | 7 | "She let go, then folded" | | 8 | "She believed he was." | | 9 | "He had wanted her safe." | | 10 | "He had wanted it badly" | | 11 | "He was wet, tired, and" | | 12 | "His cane stood planted beside" | | 13 | "She knew the way he" | | 14 | "He’d thought them through." | | 15 | "He glanced down at the" | | 16 | "He crossed the threshold." | | 17 | "Her flat was too small" | | 18 | "His mouth softened." | | 19 | "She took down two mugs." |
| | ratio | 0.411 | |
| 39.44% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 90 | | totalSentences | 107 | | matches | | 0 | "The man on Rory’s landing" | | 1 | "Water ran from the tip" | | 2 | "Lucien glanced toward the sound." | | 3 | "Rory almost shut the door." | | 4 | "She had imagined him turning" | | 5 | "His fingers tightened once around" | | 6 | "Rory had expected a defense," | | 7 | "Lucien reached into his coat." | | 8 | "She stiffened before she could" | | 9 | "He saw it and withdrew" | | 10 | "Rain ticked against the stairwell" | | 11 | "Rory felt the muscles in" | | 12 | "She looked past Lucien at" | | 13 | "Evan had been here, one" | | 14 | "She’d been sitting on her" | | 15 | "Silas owned the bar and" | | 16 | "Rory looked back at Lucien." | | 17 | "His face changed then." | | 18 | "A faint pull at the" | | 19 | "Rory’s hand had begun to" |
| | ratio | 0.841 | |
| 46.73% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 107 | | matches | | 0 | "If she’d gone down for" |
| | ratio | 0.009 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 1 | | matches | | 0 | "That had been one of the worst parts of it, sitting at Eva’s kitchen table after Silas told her, Ptolemy winding between her ankles while she tried to find a re…" |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 20 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 105 | | tagDensity | 0.124 | | leniency | 0.248 | | rawRatio | 0 | | effectiveRatio | 0 | |