| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 19 | | adverbTagCount | 1 | | adverbTags | | 0 | "he said quietly [quietly]" |
| | dialogueSentences | 85 | | tagDensity | 0.224 | | leniency | 0.447 | | rawRatio | 0.053 | | effectiveRatio | 0.024 | |
| 96.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1402 | | 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) | |
| 39.37% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1402 | | totalAiIsms | 17 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | word | "down her spine" | | count | 1 |
| | 14 | | | 15 | |
| | highlights | | 0 | "pulse" | | 1 | "fluttered" | | 2 | "gleaming" | | 3 | "stomach" | | 4 | "silk" | | 5 | "could feel" | | 6 | "traced" | | 7 | "looming" | | 8 | "tension" | | 9 | "silence" | | 10 | "charged" | | 11 | "electric" | | 12 | "chill" | | 13 | "down her spine" | | 14 | "warmth" | | 15 | "racing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 119 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 119 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 182 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 12 | | markdownWords | 13 | | totalWords | 1398 | | ratio | 0.009 | | matches | | 0 | "pissed off" | | 1 | "now" | | 2 | "fixer" | | 3 | "half-demon" | | 4 | "care" | | 5 | "want" | | 6 | "have" | | 7 | "I" | | 8 | "Oh." | | 9 | "shit" | | 10 | "ways" | | 11 | "did" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 17 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 1015 | | uniqueNames | 7 | | maxNameDensity | 1.18 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 12 | | Moreau | 1 | | Ptolemy | 4 | | Eva | 7 | | Lucien | 11 | | Silence | 1 | | Evan | 2 |
| | persons | | 0 | "Rory" | | 1 | "Moreau" | | 2 | "Ptolemy" | | 3 | "Eva" | | 4 | "Lucien" | | 5 | "Evan" |
| | places | (empty) | | globalScore | 0.909 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 77 | | 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 | 1398 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 182 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 86 | | mean | 16.26 | | std | 13.76 | | cv | 0.846 | | sampleLengths | | 0 | 61 | | 1 | 21 | | 2 | 47 | | 3 | 9 | | 4 | 11 | | 5 | 18 | | 6 | 8 | | 7 | 11 | | 8 | 41 | | 9 | 59 | | 10 | 7 | | 11 | 9 | | 12 | 30 | | 13 | 1 | | 14 | 17 | | 15 | 9 | | 16 | 12 | | 17 | 13 | | 18 | 1 | | 19 | 28 | | 20 | 3 | | 21 | 14 | | 22 | 2 | | 23 | 5 | | 24 | 8 | | 25 | 1 | | 26 | 16 | | 27 | 8 | | 28 | 27 | | 29 | 6 | | 30 | 41 | | 31 | 5 | | 32 | 1 | | 33 | 6 | | 34 | 4 | | 35 | 21 | | 36 | 42 | | 37 | 1 | | 38 | 19 | | 39 | 15 | | 40 | 13 | | 41 | 4 | | 42 | 19 | | 43 | 44 | | 44 | 21 | | 45 | 4 | | 46 | 7 | | 47 | 19 | | 48 | 11 | | 49 | 28 |
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| 99.37% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 119 | | matches | | 0 | "been burned" | | 1 | "was gone" |
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| 64.64% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 197 | | matches | | 0 | "wasn’t expecting" | | 1 | "was already backing" | | 2 | "was waiting" | | 3 | "was running" |
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| 95.76% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 182 | | ratio | 0.016 | | matches | | 0 | "Lucien swept inside, the scent of bergamot and something darker—gunpowder, maybe—trailing after him." | | 1 | "But his hand was warm, his cologne intoxicating, and the way he looked at her—like she was the only thing in the world worth seeing—made her knees weak." | | 2 | "And for the first time in years, she wasn’t sure if she was running toward him—or toward the man who’d just walked out of her life." |
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| 98.33% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1026 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 43 | | adverbRatio | 0.04191033138401559 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.003898635477582846 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 182 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 182 | | mean | 7.68 | | std | 5.44 | | cv | 0.709 | | sampleLengths | | 0 | 13 | | 1 | 19 | | 2 | 21 | | 3 | 8 | | 4 | 12 | | 5 | 9 | | 6 | 15 | | 7 | 15 | | 8 | 7 | | 9 | 10 | | 10 | 9 | | 11 | 6 | | 12 | 5 | | 13 | 12 | | 14 | 6 | | 15 | 4 | | 16 | 4 | | 17 | 9 | | 18 | 2 | | 19 | 18 | | 20 | 6 | | 21 | 8 | | 22 | 9 | | 23 | 13 | | 24 | 30 | | 25 | 16 | | 26 | 7 | | 27 | 9 | | 28 | 17 | | 29 | 10 | | 30 | 3 | | 31 | 1 | | 32 | 13 | | 33 | 4 | | 34 | 5 | | 35 | 4 | | 36 | 7 | | 37 | 5 | | 38 | 9 | | 39 | 3 | | 40 | 1 | | 41 | 1 | | 42 | 7 | | 43 | 5 | | 44 | 5 | | 45 | 9 | | 46 | 2 | | 47 | 3 | | 48 | 3 | | 49 | 9 |
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| 51.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.33516483516483514 | | totalSentences | 182 | | uniqueOpeners | 61 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 113 | | matches | | 0 | "Then his mask slid back" | | 1 | "Then his expression sobered." | | 2 | "Then he was gone, the" | | 3 | "Somewhere out there, Evan was" |
| | ratio | 0.035 | |
| 43.01% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 113 | | matches | | 0 | "She wasn’t expecting anyone, least" | | 1 | "His cane tapped once against" | | 2 | "She didn’t step aside." | | 3 | "He adjusted his cufflinks, the" | | 4 | "He took in the flat" | | 5 | "His gaze lingered on the" | | 6 | "she shot back" | | 7 | "He chuckled, low and smooth," | | 8 | "He clarified, though the grin" | | 9 | "She crossed her arms" | | 10 | "Her name for him was" | | 11 | "His for her, a brand." | | 12 | "She forced a laugh, but" | | 13 | "She gripped the back of" | | 14 | "He stood abruptly, the cane" | | 15 | "he said quietly" | | 16 | "She stepped closer, close enough" | | 17 | "He flinched, just for a" | | 18 | "She turned away, stalking to" | | 19 | "She poured two fingers into" |
| | ratio | 0.442 | |
| 17.52% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 100 | | totalSentences | 113 | | matches | | 0 | "The door rattled under the" | | 1 | "Ptolemy hissed from his perch" | | 2 | "Eva’s flat smelled of old" | | 3 | "She wasn’t expecting anyone, least" | | 4 | "The deadbolts clicked back one" | | 5 | "The door swung open before" | | 6 | "Lucien Moreau stood in the" | | 7 | "The overhead light caught the" | | 8 | "The right stayed black as" | | 9 | "His cane tapped once against" | | 10 | "Rory’s pulse hammered in her" | | 11 | "A smirk tugged at his" | | 12 | "She didn’t step aside." | | 13 | "He adjusted his cufflinks, the" | | 14 | "Ptolemy chose that moment to" | | 15 | "The papers fluttered like wounded" | | 16 | "Rory exhaled through her nose" | | 17 | "Lucien swept inside, the scent" | | 18 | "He took in the flat" | | 19 | "His gaze lingered on the" |
| | ratio | 0.885 | |
| 44.25% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 113 | | matches | | 0 | "Even Ptolemy froze mid-lick." |
| | ratio | 0.009 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 35 | | technicalSentenceCount | 2 | | matches | | 0 | "But his hand was warm, his cologne intoxicating, and the way he looked at her—like she was the only thing in the world worth seeing—made her knees weak." | | 1 | "She was too busy staring at the closed door, her mind racing, her body humming." |
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| 72.37% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 19 | | uselessAdditionCount | 2 | | matches | | 0 | "He clarified, though the grin said he’d missed more than that" | | 1 | "He offered, the picture of a gentleman" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "he observed (observe)" | | 1 | "He clarified (clarify)" |
| | dialogueSentences | 85 | | tagDensity | 0.059 | | leniency | 0.118 | | rawRatio | 0.4 | | effectiveRatio | 0.047 | |