| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 47 | | tagDensity | 0.277 | | leniency | 0.553 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.10% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1124 | | totalAiIsmAdverbs | 2 | | 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) | |
| 46.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1124 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "velvet" | | 1 | "silence" | | 2 | "vibrated" | | 3 | "fluttered" | | 4 | "tension" | | 5 | "profound" | | 6 | "stomach" | | 7 | "rhythmic" | | 8 | "echoed" | | 9 | "synchronized" | | 10 | "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 | 55 | | matches | (empty) | |
| 90.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 55 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1122 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 21 | | wordCount | 748 | | uniqueNames | 11 | | maxNameDensity | 0.94 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Golden | 1 | | Empress | 1 | | Brick | 2 | | Lane | 2 | | Moreau | 1 | | Eva | 3 | | Cardiff | 1 | | Lucien | 7 | | French | 1 | | Parisian | 1 | | Marseille | 1 |
| | persons | | | places | | 0 | "Golden" | | 1 | "Brick" | | 2 | "Lane" | | 3 | "Cardiff" | | 4 | "Marseille" |
| | globalScore | 1 | | windowScore | 1 | |
| 98.98% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like a violent disruption of the f" |
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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 | 1122 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 20.4 | | std | 17.82 | | cv | 0.874 | | sampleLengths | | 0 | 41 | | 1 | 8 | | 2 | 35 | | 3 | 33 | | 4 | 17 | | 5 | 6 | | 6 | 9 | | 7 | 16 | | 8 | 23 | | 9 | 53 | | 10 | 23 | | 11 | 34 | | 12 | 22 | | 13 | 6 | | 14 | 42 | | 15 | 37 | | 16 | 10 | | 17 | 4 | | 18 | 11 | | 19 | 4 | | 20 | 2 | | 21 | 63 | | 22 | 4 | | 23 | 2 | | 24 | 24 | | 25 | 45 | | 26 | 2 | | 27 | 4 | | 28 | 43 | | 29 | 50 | | 30 | 11 | | 31 | 14 | | 32 | 3 | | 33 | 46 | | 34 | 5 | | 35 | 5 | | 36 | 67 | | 37 | 7 | | 38 | 34 | | 39 | 13 | | 40 | 16 | | 41 | 30 | | 42 | 37 | | 43 | 3 | | 44 | 5 | | 45 | 7 | | 46 | 38 | | 47 | 4 | | 48 | 1 | | 49 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 55 | | matches | (empty) | |
| 87.96% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 119 | | matches | | 0 | "were looking" | | 1 | "was burning" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 89 | | ratio | 0.011 | | matches | | 0 | "He held his ivory-handled cane across his knees, those heterochromatic eyes—one amber, one black—tracking my movement with the slow precision of a cat stalking a sparrow." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 756 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.03042328042328042 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.018518518518518517 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 12.61 | | std | 7.81 | | cv | 0.619 | | sampleLengths | | 0 | 17 | | 1 | 24 | | 2 | 8 | | 3 | 6 | | 4 | 29 | | 5 | 7 | | 6 | 26 | | 7 | 17 | | 8 | 6 | | 9 | 9 | | 10 | 16 | | 11 | 18 | | 12 | 5 | | 13 | 22 | | 14 | 8 | | 15 | 23 | | 16 | 9 | | 17 | 14 | | 18 | 20 | | 19 | 14 | | 20 | 6 | | 21 | 16 | | 22 | 6 | | 23 | 22 | | 24 | 20 | | 25 | 15 | | 26 | 22 | | 27 | 10 | | 28 | 4 | | 29 | 11 | | 30 | 4 | | 31 | 2 | | 32 | 11 | | 33 | 7 | | 34 | 19 | | 35 | 26 | | 36 | 4 | | 37 | 2 | | 38 | 19 | | 39 | 5 | | 40 | 18 | | 41 | 27 | | 42 | 2 | | 43 | 4 | | 44 | 20 | | 45 | 23 | | 46 | 3 | | 47 | 12 | | 48 | 15 | | 49 | 20 |
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| 62.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.42696629213483145 | | totalSentences | 89 | | uniqueOpeners | 38 | |
| 64.10% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 52 | | matches | | 0 | "Suddenly, his posture stiffened." |
| | ratio | 0.019 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 52 | | matches | | 0 | "I shoved the heavy oak" | | 1 | "He held his ivory-handled cane" | | 2 | "He adjusted the cuffs of" | | 3 | "I dropped the greasy takeaway" | | 4 | "My skin prickled with a" | | 5 | "I said, pointing a finger" | | 6 | "My left wrist began to" | | 7 | "I rubbed the small crescent-shaped" | | 8 | "I stepped closer, my boots" | | 9 | "He stood up, his five-foot-eleven" | | 10 | "I could see the subtle" | | 11 | "He smelled of rain and" | | 12 | "He reached out, the tips" | | 13 | "I curled my hands into" | | 14 | "His voice dropped to a" | | 15 | "My breath hitched." | | 16 | "I looked at his hands," | | 17 | "They were smooth, pale, and" | | 18 | "He stepped into my space" | | 19 | "His gaze dropped to my" |
| | ratio | 0.577 | |
| 8.08% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 52 | | matches | | 0 | "The third deadbolt screeched, a" | | 1 | "I shoved the heavy oak" | | 2 | "The threat died in my" | | 3 | "The aroma of cardamom and" | | 4 | "Lucien Moreau sat in Eva’s" | | 5 | "He held his ivory-handled cane" | | 6 | "He adjusted the cuffs of" | | 7 | "I dropped the greasy takeaway" | | 8 | "My skin prickled with a" | | 9 | "I said, pointing a finger" | | 10 | "Lucien leaned forward, resting his" | | 11 | "My left wrist began to" | | 12 | "I rubbed the small crescent-shaped" | | 13 | "Lucien said, his refined French" | | 14 | "The air in the room" | | 15 | "I stepped closer, my boots" | | 16 | "He stood up, his five-foot-eleven" | | 17 | "The movement brought him close," | | 18 | "I could see the subtle" | | 19 | "He smelled of rain and" |
| | ratio | 0.904 | |
| 96.15% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 52 | | matches | | | ratio | 0.019 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 2 | | matches | | 0 | "My heart hammered against my ribs, a wild, erratic beat that demanded I either strike him or pull him closer." | | 1 | "It was the synchronized, deliberate tread of two men who knew exactly which door they were looking for." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 64.89% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 4 | | fancyTags | | 0 | "he murmured (murmur)" | | 1 | "I whispered (whisper)" | | 2 | "he muttered (mutter)" | | 3 | "he hissed (hiss)" |
| | dialogueSentences | 47 | | tagDensity | 0.149 | | leniency | 0.298 | | rawRatio | 0.571 | | effectiveRatio | 0.17 | |