| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 156 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 97.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1850 | | 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) | |
| 81.08% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1850 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "silence" | | 1 | "could feel" | | 2 | "warmth" | | 3 | "familiar" | | 4 | "pulse" |
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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 | 117 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 117 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 261 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1849 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 36 | | unquotedAttributions | 0 | | matches | (empty) | |
| 53.65% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 986 | | uniqueNames | 5 | | maxNameDensity | 1.93 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Lucien | 14 | | Moreau | 1 | | Ptolemy | 3 | | Eva | 2 | | Rory | 19 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Ptolemy" | | 3 | "Eva" | | 4 | "Rory" |
| | places | (empty) | | globalScore | 0.537 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed smaller with him there; books crowded the windowsill, Ptolemy pushed his head against her ankle, and the kettle clicked as it cooled" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1849 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 261 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 184 | | mean | 10.05 | | std | 9.82 | | cv | 0.977 | | sampleLengths | | 0 | 14 | | 1 | 21 | | 2 | 16 | | 3 | 15 | | 4 | 6 | | 5 | 37 | | 6 | 9 | | 7 | 3 | | 8 | 9 | | 9 | 6 | | 10 | 6 | | 11 | 39 | | 12 | 32 | | 13 | 2 | | 14 | 1 | | 15 | 9 | | 16 | 21 | | 17 | 5 | | 18 | 3 | | 19 | 3 | | 20 | 7 | | 21 | 34 | | 22 | 2 | | 23 | 30 | | 24 | 8 | | 25 | 4 | | 26 | 5 | | 27 | 8 | | 28 | 24 | | 29 | 6 | | 30 | 12 | | 31 | 7 | | 32 | 4 | | 33 | 6 | | 34 | 16 | | 35 | 6 | | 36 | 1 | | 37 | 2 | | 38 | 2 | | 39 | 3 | | 40 | 20 | | 41 | 6 | | 42 | 2 | | 43 | 1 | | 44 | 3 | | 45 | 12 | | 46 | 3 | | 47 | 14 | | 48 | 6 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 168 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 261 | | ratio | 0.011 | | matches | | 0 | "One hand gripped his ivory-handled cane; the other hung at his side, fingers pressed to a dark stain spreading across his cuff." | | 1 | "His gaze swept the cramped flat—the stacks of books, the scrolls pinned beneath chipped mugs, the open notebook on the table." | | 2 | "The flat seemed smaller with him there; books crowded the windowsill, Ptolemy pushed his head against her ankle, and the kettle clicked as it cooled." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 991 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.026236125126135216 | | lyAdverbCount | 1 | | lyAdverbRatio | 0.0010090817356205853 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 261 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 261 | | mean | 7.08 | | std | 4.84 | | cv | 0.683 | | sampleLengths | | 0 | 14 | | 1 | 7 | | 2 | 14 | | 3 | 7 | | 4 | 9 | | 5 | 3 | | 6 | 12 | | 7 | 6 | | 8 | 3 | | 9 | 12 | | 10 | 22 | | 11 | 9 | | 12 | 3 | | 13 | 9 | | 14 | 6 | | 15 | 6 | | 16 | 4 | | 17 | 25 | | 18 | 10 | | 19 | 3 | | 20 | 21 | | 21 | 8 | | 22 | 2 | | 23 | 1 | | 24 | 9 | | 25 | 16 | | 26 | 5 | | 27 | 5 | | 28 | 3 | | 29 | 3 | | 30 | 5 | | 31 | 2 | | 32 | 10 | | 33 | 13 | | 34 | 4 | | 35 | 7 | | 36 | 2 | | 37 | 7 | | 38 | 19 | | 39 | 4 | | 40 | 8 | | 41 | 4 | | 42 | 5 | | 43 | 8 | | 44 | 5 | | 45 | 4 | | 46 | 15 | | 47 | 6 | | 48 | 6 | | 49 | 6 |
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| 48.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.22988505747126436 | | totalSentences | 261 | | uniqueOpeners | 60 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 108 | | matches | (empty) | | ratio | 0 | |
| 23.70% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 53 | | totalSentences | 108 | | matches | | 0 | "His mouth tightened." | | 1 | "She unhooked the chain." | | 2 | "He stepped in." | | 3 | "His gaze swept the cramped" | | 4 | "She held out her hand." | | 5 | "He glanced at her palm," | | 6 | "She took his wrist." | | 7 | "His skin felt cool beneath" | | 8 | "He watched her return." | | 9 | "His eyes lifted to hers." | | 10 | "She pulled a pair of" | | 11 | "His fingers flexed once under" | | 12 | "She wiped the wound with" | | 13 | "He looked at the damp" | | 14 | "She wrapped gauze around his" | | 15 | "Her fingers brushed his knuckles" | | 16 | "She let go." | | 17 | "His fingers closed around the" | | 18 | "His gaze met hers" | | 19 | "It didn’t mend anything." |
| | ratio | 0.491 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 100 | | totalSentences | 108 | | matches | | 0 | "The door opened on Lucien" | | 1 | "Rory kept one hand on" | | 2 | "The other curled against the" | | 3 | "His mouth tightened." | | 4 | "Water ran from his platinum" | | 5 | "Rory looked at the blood," | | 6 | "She unhooked the chain." | | 7 | "Rory opened the door wide" | | 8 | "He stepped in." | | 9 | "His gaze swept the cramped" | | 10 | "Ptolemy sat on the fallen" | | 11 | "Rory shut the door and" | | 12 | "She held out her hand." | | 13 | "He glanced at her palm," | | 14 | "The cut crossed the base" | | 15 | "She took his wrist." | | 16 | "His skin felt cool beneath" | | 17 | "Lucien chose the chair by" | | 18 | "Rory fetched the first-aid tin" | | 19 | "He watched her return." |
| | ratio | 0.926 | |
| 46.30% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 108 | | matches | | | ratio | 0.009 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 2 | | matches | | 0 | "She looked at him, searching for the polished evasion, the turn of phrase that would leave him with clean hands." | | 1 | "She remembered the quiet of his room and the way he’d watched her afterwards, as if he’d handed her something he couldn’t take back." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 156 | | tagDensity | 0.051 | | leniency | 0.103 | | rawRatio | 0 | | effectiveRatio | 0 | |