| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 52 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1307 | | 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) | |
| 73.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1307 | | totalAiIsms | 7 | | found | | | highlights | | 0 | "silence" | | 1 | "pulse" | | 2 | "weight" | | 3 | "velvet" | | 4 | "stomach" | | 5 | "silk" |
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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 | 74 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 74 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 124 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 5 | | totalWords | 1307 | | ratio | 0.004 | | matches | | 0 | "ma petite" | | 1 | "accountants" | | 2 | "chérie" | | 3 | "Malphora." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 23 | | wordCount | 947 | | uniqueNames | 14 | | maxNameDensity | 0.63 | | worstName | "Lucien" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Moreau | 1 | | Brick | 1 | | Lane | 1 | | East | 1 | | London | 2 | | Welsh | 1 | | Eva | 4 | | November | 1 | | Lucien | 6 | | Polish | 1 | | Latin | 1 | | Mayfair | 1 | | October | 1 | | Scrawled | 1 |
| | persons | | | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "East" | | 3 | "London" | | 4 | "Welsh" | | 5 | "November" | | 6 | "October" | | 7 | "Scrawled" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 59 | | 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 | 1307 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 124 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 78 | | mean | 16.76 | | std | 18.88 | | cv | 1.127 | | sampleLengths | | 0 | 17 | | 1 | 21 | | 2 | 34 | | 3 | 5 | | 4 | 3 | | 5 | 9 | | 6 | 3 | | 7 | 17 | | 8 | 73 | | 9 | 2 | | 10 | 9 | | 11 | 4 | | 12 | 4 | | 13 | 45 | | 14 | 7 | | 15 | 75 | | 16 | 21 | | 17 | 4 | | 18 | 8 | | 19 | 2 | | 20 | 6 | | 21 | 6 | | 22 | 17 | | 23 | 46 | | 24 | 26 | | 25 | 1 | | 26 | 68 | | 27 | 35 | | 28 | 1 | | 29 | 5 | | 30 | 3 | | 31 | 3 | | 32 | 8 | | 33 | 3 | | 34 | 3 | | 35 | 9 | | 36 | 37 | | 37 | 2 | | 38 | 9 | | 39 | 7 | | 40 | 4 | | 41 | 22 | | 42 | 3 | | 43 | 52 | | 44 | 5 | | 45 | 5 | | 46 | 13 | | 47 | 35 | | 48 | 6 | | 49 | 6 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 153 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 124 | | ratio | 0 | | matches | (empty) | |
| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 788 | | adjectiveStacks | 3 | | stackExamples | | 0 | "ancient leather-bound grimoires" | | 1 | "weeping black-red ichor," | | 2 | "small crescent-shaped scar." |
| | adverbCount | 17 | | adverbRatio | 0.021573604060913704 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.0038071065989847717 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 124 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 124 | | mean | 10.54 | | std | 8.48 | | cv | 0.805 | | sampleLengths | | 0 | 4 | | 1 | 13 | | 2 | 21 | | 3 | 6 | | 4 | 6 | | 5 | 22 | | 6 | 5 | | 7 | 3 | | 8 | 9 | | 9 | 3 | | 10 | 17 | | 11 | 6 | | 12 | 26 | | 13 | 21 | | 14 | 8 | | 15 | 12 | | 16 | 2 | | 17 | 9 | | 18 | 4 | | 19 | 4 | | 20 | 4 | | 21 | 14 | | 22 | 13 | | 23 | 7 | | 24 | 2 | | 25 | 5 | | 26 | 7 | | 27 | 4 | | 28 | 10 | | 29 | 5 | | 30 | 30 | | 31 | 26 | | 32 | 20 | | 33 | 1 | | 34 | 4 | | 35 | 8 | | 36 | 2 | | 37 | 6 | | 38 | 6 | | 39 | 17 | | 40 | 7 | | 41 | 16 | | 42 | 23 | | 43 | 26 | | 44 | 1 | | 45 | 18 | | 46 | 9 | | 47 | 8 | | 48 | 33 | | 49 | 4 |
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| 68.28% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4435483870967742 | | totalSentences | 124 | | uniqueOpeners | 55 | |
| 46.95% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 71 | | matches | | 0 | "Instead, his thumb stroked the" |
| | ratio | 0.014 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 44 | | totalSentences | 71 | | matches | | 0 | "I yanked the door open," | | 1 | "I lowered the pan an" | | 2 | "My knuckles ached from the" | | 3 | "I stepped back, blocking the" | | 4 | "He didn't move, his mismatched" | | 5 | "He looked immaculate, his platinum" | | 6 | "He shifted his weight." | | 7 | "His left hand gripped the" | | 8 | "I cursed in Welsh and" | | 9 | "He set the cane against" | | 10 | "His fingers worked the buttons" | | 11 | "I tossed the skillet onto" | | 12 | "He lowered himself onto the" | | 13 | "I knelt on the threadbare" | | 14 | "I unbuttoned his shirt." | | 15 | "My fingers brushed the firm" | | 16 | "His skin burned." | | 17 | "I uncapped the vodka and" | | 18 | "I pressed the soaked fabric" | | 19 | "His hand shot out, wrapping" |
| | ratio | 0.62 | |
| 16.34% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 71 | | matches | | 0 | "The third deadbolt clicked." | | 1 | "I yanked the door open," | | 2 | "Lucien Moreau leaned against the" | | 3 | "I lowered the pan an" | | 4 | "My knuckles ached from the" | | 5 | "I stepped back, blocking the" | | 6 | "He didn't move, his mismatched" | | 7 | "He looked immaculate, his platinum" | | 8 | "A thin crimson line marred" | | 9 | "Demon blood dried dark, almost" | | 10 | "He shifted his weight." | | 11 | "A wince, microscopic and gone" | | 12 | "His left hand gripped the" | | 13 | "Something under the wool jacket." | | 14 | "I cursed in Welsh and" | | 15 | "Lucien glided past me." | | 16 | "The cramped one-bedroom flat shrank" | | 17 | "Every surface held Eva's clutter." | | 18 | "Towers of yellowing scrolls leaned" | | 19 | "The scent of cumin and" |
| | ratio | 0.887 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 71 | | matches | (empty) | | ratio | 0 | |
| 46.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 5 | | matches | | 0 | "He looked immaculate, his platinum hair slicked back, untouched by the East London grime that coated everything else on this street." | | 1 | "His hand shot out, wrapping around my left wrist, his thumb pressing directly over my small crescent-shaped scar." | | 2 | "Instead, his thumb stroked the raised tissue of my scar, back and forth, a slow, hypnotic rhythm that made my stomach drop." | | 3 | "His free hand came up, his long, cool fingers tangling in the straight black hair at the nape of my neck, tilting my head back." | | 4 | "He groaned against my lips, his hands spanning my waist, hitching me closer against the hard ridge of his arousal." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "he rasped, his lips brushing my collarbone" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 52 | | tagDensity | 0.019 | | leniency | 0.038 | | rawRatio | 1 | | effectiveRatio | 0.038 | |