| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 1 | | adverbTags | | 0 | "His accent curled around [around]" |
| | dialogueSentences | 52 | | tagDensity | 0.346 | | leniency | 0.692 | | rawRatio | 0.056 | | effectiveRatio | 0.038 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1153 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 47.96% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1153 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "warmth" | | 1 | "footsteps" | | 2 | "silence" | | 3 | "flicked" | | 4 | "etched" | | 5 | "flicker" | | 6 | "unspoken" | | 7 | "weight" | | 8 | "shattered" |
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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 | 87 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 87 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 6 | | markdownWords | 11 | | totalWords | 1140 | | ratio | 0.01 | | matches | | 0 | "k" | | 1 | "kismet" | | 2 | "She’s waking. They called her Malphora." | | 3 | "you" | | 4 | "you" | | 5 | "shink" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 61.76% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 680 | | uniqueNames | 9 | | maxNameDensity | 1.76 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Lucien | 6 | | Rory | 12 | | Footsteps | 1 | | Ptolemy | 2 | | Eva | 5 | | Avaros | 1 | | Marseille | 1 | | Smoke | 1 | | Rolled | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Rory" | | 2 | "Footsteps" | | 3 | "Ptolemy" | | 4 | "Eva" | | 5 | "Smoke" | | 6 | "Rolled" |
| | places | | | globalScore | 0.618 | | windowScore | 0.667 | |
| 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 | 1140 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 119 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 59 | | mean | 19.32 | | std | 15.43 | | cv | 0.798 | | sampleLengths | | 0 | 22 | | 1 | 21 | | 2 | 61 | | 3 | 12 | | 4 | 21 | | 5 | 14 | | 6 | 8 | | 7 | 22 | | 8 | 44 | | 9 | 17 | | 10 | 33 | | 11 | 31 | | 12 | 1 | | 13 | 15 | | 14 | 6 | | 15 | 21 | | 16 | 27 | | 17 | 10 | | 18 | 48 | | 19 | 29 | | 20 | 3 | | 21 | 2 | | 22 | 1 | | 23 | 46 | | 24 | 7 | | 25 | 32 | | 26 | 5 | | 27 | 38 | | 28 | 7 | | 29 | 13 | | 30 | 54 | | 31 | 6 | | 32 | 14 | | 33 | 21 | | 34 | 42 | | 35 | 19 | | 36 | 44 | | 37 | 4 | | 38 | 5 | | 39 | 29 | | 40 | 5 | | 41 | 39 | | 42 | 42 | | 43 | 11 | | 44 | 46 | | 45 | 13 | | 46 | 7 | | 47 | 31 | | 48 | 18 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 87 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 128 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 13 | | semicolonCount | 0 | | flaggedSentences | 9 | | totalSentences | 119 | | ratio | 0.076 | | matches | | 0 | "His mismatched eyes—one amber, one black—held hers with the quiet precision of someone who’d rehearsed this moment too many times." | | 1 | "\"I know what lives here.\" His gaze flicked past her—to the stack of grimoires on the coffee table, the dried sprigs of monkshood taped to the window frame, the sigil scratched into the floorboards near the threshold." | | 2 | "Inside: vials of powdered bone, a silver dagger wrapped in linen, and a blood-stained journal—Eva’s handwriting, Rory recognised the looping *k* in *kismet*." | | 3 | "The name they’d given her the night in Marseille—the night Lucien pulled her bleeding from the ritual pit, the night her scar had burned black for twelve hours straight." | | 4 | "Then—a flicker." | | 5 | "The face shifted—Eva’s nose, Eva’s eyes—but the mouth was wrong." | | 6 | "Reveal thin, faded scars along his forearms—parallel lines, like claw marks." | | 7 | "But she didn’t miss how he didn’t mention the kiss—rain-slicked pavement, his hands cradling her face, her blood still warm on his lips." | | 8 | "Then a voice—Eva’s voice—called up from below." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 696 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.027298850574712645 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.004310344827586207 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 9.58 | | std | 7.81 | | cv | 0.815 | | sampleLengths | | 0 | 22 | | 1 | 21 | | 2 | 32 | | 3 | 9 | | 4 | 20 | | 5 | 12 | | 6 | 3 | | 7 | 18 | | 8 | 14 | | 9 | 4 | | 10 | 2 | | 11 | 2 | | 12 | 10 | | 13 | 12 | | 14 | 37 | | 15 | 7 | | 16 | 5 | | 17 | 2 | | 18 | 4 | | 19 | 6 | | 20 | 5 | | 21 | 23 | | 22 | 2 | | 23 | 3 | | 24 | 23 | | 25 | 8 | | 26 | 1 | | 27 | 15 | | 28 | 3 | | 29 | 3 | | 30 | 11 | | 31 | 10 | | 32 | 3 | | 33 | 8 | | 34 | 16 | | 35 | 6 | | 36 | 4 | | 37 | 13 | | 38 | 23 | | 39 | 12 | | 40 | 4 | | 41 | 3 | | 42 | 9 | | 43 | 9 | | 44 | 4 | | 45 | 3 | | 46 | 2 | | 47 | 1 | | 48 | 8 | | 49 | 9 |
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| 73.39% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.47058823529411764 | | totalSentences | 119 | | uniqueOpeners | 56 | |
| 90.09% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 74 | | matches | | 0 | "Too many teeth." | | 1 | "Then a voice—Eva’s voice—called up" |
| | ratio | 0.027 | |
| 84.86% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 25 | | totalSentences | 74 | | matches | | 0 | "His mismatched eyes—one amber, one" | | 1 | "His accent curled around the" | | 2 | "he said, glancing down the" | | 3 | "She didn’t flinch, but her" | | 4 | "His gaze flicked past her—to" | | 5 | "She opened it fully this" | | 6 | "He leaned his cane against" | | 7 | "He ran a gloved hand" | | 8 | "He pulled off his gloves," | | 9 | "They called her Malphora.*" | | 10 | "Her breath caught." | | 11 | "she said, voice flat" | | 12 | "He stepped closer" | | 13 | "He tilted his head" | | 14 | "She slammed the journal shut." | | 15 | "She moved to the cupboard," | | 16 | "He crouched, pulling a vial" | | 17 | "She glanced at her wrist." | | 18 | "He lit a match, dropped" | | 19 | "He stood, shrugging off his" |
| | ratio | 0.338 | |
| 61.35% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 74 | | matches | | 0 | "The door cracked open just" | | 1 | "Rory’s voice was low, edged" | | 2 | "Lucien stood in the dim" | | 3 | "Rain slicked his platinum hair" | | 4 | "His mismatched eyes—one amber, one" | | 5 | "His accent curled around the" | | 6 | "Rory didn’t move." | | 7 | "he said, glancing down the" | | 8 | "Footsteps thudded above them." | | 9 | "She didn’t flinch, but her" | | 10 | "His gaze flicked past her—to" | | 11 | "Rory pulled the door shut." | | 12 | "The chain rattled free." | | 13 | "She opened it fully this" | | 14 | "Lucien stepped in without invitation." | | 15 | "He leaned his cane against" | | 16 | "The wood groaned." | | 17 | "He ran a gloved hand" | | 18 | "Rory went still." | | 19 | "He pulled off his gloves," |
| | ratio | 0.797 | |
| 67.57% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 74 | | matches | | 0 | "Even Ptolemy, curled on a" |
| | ratio | 0.014 | |
| 98.21% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 16 | | technicalSentenceCount | 1 | | matches | | 0 | "His mismatched eyes—one amber, one black—held hers with the quiet precision of someone who’d rehearsed this moment too many times." |
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| 97.22% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 1 | | matches | | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 52 | | tagDensity | 0.096 | | leniency | 0.192 | | rawRatio | 0 | | effectiveRatio | 0 | |