| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 46 | | tagDensity | 0.087 | | leniency | 0.174 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 981 | | 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) | |
| 38.84% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 981 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "flicked" | | 1 | "could feel" | | 2 | "jaw clenched" | | 3 | "weight" | | 4 | "traced" | | 5 | "silence" | | 6 | "flickered" | | 7 | "whisper" | | 8 | "echoed" | | 9 | "pulse" | | 10 | "roaring" |
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| 0.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 4 | | maxInWindow | 4 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 2 |
| | 1 | | label | "jaw/fists clenched" | | count | 1 |
| | 2 | | label | "weight of words/silence" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "jaw clenched" | | 2 | "the weight of his words" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 79 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 79 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 120 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 13 | | markdownWords | 22 | | totalWords | 966 | | ratio | 0.023 | | matches | | 0 | "chérie" | | 1 | "he" | | 2 | "Some things aren’t worth fixing, Rory." | | 3 | "ma petite sorcière" | | 4 | "wanted" | | 5 | "us" | | 6 | "trust" | | 7 | "shadow" | | 8 | "click" | | 9 | "Shit." | | 10 | "stay behind me" | | 11 | "ignited" | | 12 | "twisted" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 5.40% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 657 | | uniqueNames | 4 | | maxNameDensity | 2.89 | | worstName | "Eva" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 18 | | Eva | 19 | | Lucien | 16 | | Ptolemy | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Eva" | | 2 | "Lucien" | | 3 | "Ptolemy" |
| | places | (empty) | | globalScore | 0.054 | | windowScore | 0.167 | |
| 96.81% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 47 | | glossingSentenceCount | 1 | | matches | | 0 | "tasted like copper—Lucien’s low laugh as" |
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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 | 966 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 120 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 55 | | mean | 17.56 | | std | 11.69 | | cv | 0.665 | | sampleLengths | | 0 | 27 | | 1 | 4 | | 2 | 19 | | 3 | 16 | | 4 | 35 | | 5 | 11 | | 6 | 3 | | 7 | 50 | | 8 | 21 | | 9 | 29 | | 10 | 26 | | 11 | 41 | | 12 | 9 | | 13 | 9 | | 14 | 24 | | 15 | 45 | | 16 | 30 | | 17 | 11 | | 18 | 27 | | 19 | 8 | | 20 | 18 | | 21 | 20 | | 22 | 18 | | 23 | 1 | | 24 | 25 | | 25 | 16 | | 26 | 12 | | 27 | 11 | | 28 | 26 | | 29 | 20 | | 30 | 4 | | 31 | 9 | | 32 | 34 | | 33 | 4 | | 34 | 12 | | 35 | 29 | | 36 | 4 | | 37 | 29 | | 38 | 12 | | 39 | 23 | | 40 | 8 | | 41 | 9 | | 42 | 3 | | 43 | 6 | | 44 | 10 | | 45 | 14 | | 46 | 20 | | 47 | 10 | | 48 | 19 | | 49 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 116 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 9 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 120 | | ratio | 0.058 | | matches | | 0 | "The door swung open just wide enough for Aurora to see a sliver of Eva’s face—eyes narrowed, lips pressed thin—before the chain caught." | | 1 | "The memory tasted like copper—Lucien’s low laugh as he walked away, the weight of his words still bruising her ribs." | | 2 | "The amber eye, the black one—both locked onto Aurora." | | 3 | "The cat sniffed, then—after a considering pause—curled into a tight ball against his thigh and began purring." | | 4 | "The blade inside remained sheathed—for now." | | 5 | "Lucien moved to Aurora’s side, his free hand brushing the small of her back—just for a second." | | 6 | "The shadows beyond the fire *twisted*, coalescing into something with too many joints, too many eyes—" |
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| 96.96% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 667 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 29 | | adverbRatio | 0.043478260869565216 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.010494752623688156 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 120 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 120 | | mean | 8.05 | | std | 6 | | cv | 0.745 | | sampleLengths | | 0 | 4 | | 1 | 23 | | 2 | 4 | | 3 | 10 | | 4 | 9 | | 5 | 9 | | 6 | 7 | | 7 | 3 | | 8 | 14 | | 9 | 15 | | 10 | 3 | | 11 | 2 | | 12 | 7 | | 13 | 2 | | 14 | 3 | | 15 | 12 | | 16 | 24 | | 17 | 14 | | 18 | 4 | | 19 | 17 | | 20 | 3 | | 21 | 20 | | 22 | 6 | | 23 | 12 | | 24 | 6 | | 25 | 8 | | 26 | 12 | | 27 | 25 | | 28 | 4 | | 29 | 3 | | 30 | 6 | | 31 | 6 | | 32 | 3 | | 33 | 20 | | 34 | 4 | | 35 | 20 | | 36 | 16 | | 37 | 4 | | 38 | 5 | | 39 | 17 | | 40 | 9 | | 41 | 4 | | 42 | 8 | | 43 | 3 | | 44 | 9 | | 45 | 9 | | 46 | 9 | | 47 | 6 | | 48 | 2 | | 49 | 16 |
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| 64.72% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.4083333333333333 | | totalSentences | 120 | | uniqueOpeners | 49 | |
| 88.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 75 | | matches | | 0 | "Just not the visible kind.)" | | 1 | "Then the lights went out." |
| | ratio | 0.027 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 8 | | totalSentences | 75 | | matches | | 0 | "She could feel Lucien’s presence" | | 1 | "She stepped inside before Eva" | | 2 | "His suit was immaculate, not" | | 3 | "(He already had, technically." | | 4 | "His voice dropped" | | 5 | "She turned on Aurora" | | 6 | "She ignored it, reaching for" | | 7 | "It hit the air and" |
| | ratio | 0.107 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 75 | | matches | | 0 | "The third deadbolt clicked." | | 1 | "The door swung open just" | | 2 | "Lucien’s voice came from behind" | | 3 | "Eva’s glare flicked past Aurora’s" | | 4 | "Aurora didn’t move." | | 5 | "The hallway smelled of curry" | | 6 | "She could feel Lucien’s presence" | | 7 | "Eva’s fingers tightened around the" | | 8 | "The chain rattled as Eva" | | 9 | "The flat beyond was a" | | 10 | "Ptolemy, the tabby, slunk between" | | 11 | "Eva crossed her arms." | | 12 | "Aurora’s jaw clenched." | | 13 | "The memory tasted like copper—Lucien’s" | | 14 | "*Some things aren’t worth fixing," | | 15 | "She stepped inside before Eva" | | 16 | "The floorboards groaned under her" | | 17 | "Lucien followed, the tip of" | | 18 | "His suit was immaculate, not" | | 19 | "Eva’s nostrils flared." |
| | ratio | 0.933 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 26 | | technicalSentenceCount | 1 | | matches | | 0 | "His suit was immaculate, not a crease out of place, as if he hadn’t just spent the last hour trailing Aurora through the rain-slicked streets." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 1 | | matches | | 0 | "Eva lunged, fingers closing around a jar of black powder" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Aurora corrected (correct)" |
| | dialogueSentences | 46 | | tagDensity | 0.022 | | leniency | 0.043 | | rawRatio | 1 | | effectiveRatio | 0.043 | |