| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.195 | | leniency | 0.39 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 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) | |
| 32.24% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1402 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "pulse" | | 1 | "charged" | | 2 | "vibrated" | | 3 | "dance" | | 4 | "unspoken" | | 5 | "weight" | | 6 | "silence" | | 7 | "familiar" | | 8 | "velvet" | | 9 | "unreadable" | | 10 | "efficient" | | 11 | "tension" | | 12 | "effortless" | | 13 | "rhythmic" | | 14 | "echoed" | | 15 | "shattered" | | 16 | "dancing" | | 17 | "chaotic" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 63 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 63 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | 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 | 2 | | markdownWords | 2 | | totalWords | 1397 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 9 | | wordCount | 1056 | | uniqueNames | 6 | | maxNameDensity | 0.38 | | worstName | "Lucien" | | maxWindowNameDensity | 1 | | worstWindowName | "Lucien" | | discoveredNames | | Brick | 1 | | Lane | 1 | | French | 1 | | Eva | 1 | | Lucien | 4 | | London | 1 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 58 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like an aristocratic ghost hauntin" |
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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 | 1397 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 96 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 27.39 | | std | 23.53 | | cv | 0.859 | | sampleLengths | | 0 | 54 | | 1 | 50 | | 2 | 4 | | 3 | 4 | | 4 | 75 | | 5 | 17 | | 6 | 4 | | 7 | 55 | | 8 | 19 | | 9 | 64 | | 10 | 22 | | 11 | 13 | | 12 | 2 | | 13 | 69 | | 14 | 19 | | 15 | 44 | | 16 | 6 | | 17 | 14 | | 18 | 68 | | 19 | 36 | | 20 | 19 | | 21 | 7 | | 22 | 7 | | 23 | 84 | | 24 | 3 | | 25 | 31 | | 26 | 24 | | 27 | 8 | | 28 | 42 | | 29 | 1 | | 30 | 12 | | 31 | 61 | | 32 | 38 | | 33 | 3 | | 34 | 1 | | 35 | 5 | | 36 | 28 | | 37 | 49 | | 38 | 52 | | 39 | 3 | | 40 | 20 | | 41 | 52 | | 42 | 34 | | 43 | 1 | | 44 | 10 | | 45 | 28 | | 46 | 5 | | 47 | 3 | | 48 | 63 | | 49 | 17 |
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| 94.12% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 63 | | matches | | 0 | "was buttoned" | | 1 | "was charged" |
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| 80.24% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 167 | | matches | | 0 | "was planning" | | 1 | "was watching" | | 2 | "was memorising" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 96 | | ratio | 0.052 | | matches | | 0 | "His ivory-handled cane clacked rhythmically against the floorboards as he surveyed the chaos of Eva’s research—the precarious towers of crumbling parchment and the half-empty mugs of cold tea." | | 1 | "It was the one I had stolen—and then returned—during our last frantic job." | | 2 | "The amber one was sharp with hunger; the black one was unreadable." | | 3 | "He offered a small, mocking bow, his cane tapping once against the floor—a signal I once knew to mean *survival*." | | 4 | "A muted, rhythmic thudding sounded from around the corner—the unmistakable scrape of heavy boots on wet pavement." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1067 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.019681349578256794 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.005623242736644799 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 14.55 | | std | 8.53 | | cv | 0.586 | | sampleLengths | | 0 | 20 | | 1 | 34 | | 2 | 10 | | 3 | 28 | | 4 | 12 | | 5 | 4 | | 6 | 4 | | 7 | 9 | | 8 | 20 | | 9 | 28 | | 10 | 18 | | 11 | 17 | | 12 | 4 | | 13 | 12 | | 14 | 18 | | 15 | 25 | | 16 | 19 | | 17 | 26 | | 18 | 3 | | 19 | 3 | | 20 | 16 | | 21 | 16 | | 22 | 22 | | 23 | 13 | | 24 | 2 | | 25 | 22 | | 26 | 20 | | 27 | 14 | | 28 | 13 | | 29 | 19 | | 30 | 32 | | 31 | 12 | | 32 | 6 | | 33 | 14 | | 34 | 11 | | 35 | 20 | | 36 | 12 | | 37 | 25 | | 38 | 15 | | 39 | 21 | | 40 | 19 | | 41 | 7 | | 42 | 7 | | 43 | 16 | | 44 | 38 | | 45 | 30 | | 46 | 3 | | 47 | 18 | | 48 | 13 | | 49 | 10 |
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| 44.10% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3333333333333333 | | totalSentences | 96 | | uniqueOpeners | 32 | |
| 52.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 63 | | matches | | 0 | "Then I turned, catching his" |
| | ratio | 0.016 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 46 | | totalSentences | 63 | | matches | | 0 | "I swung the door open," | | 1 | "His charcoal suit coat was" | | 2 | "He looked like an aristocratic" | | 3 | "I stepped back, but I" | | 4 | "He entered, the air in" | | 5 | "His ivory-handled cane clacked rhythmically" | | 6 | "I kicked a discarded stack" | | 7 | "I buried my hands deep" | | 8 | "He turned to face me," | | 9 | "He didn't sit." | | 10 | "He never sat." | | 11 | "It would imply he was" | | 12 | "He stepped closer, closing the" | | 13 | "He looked down at me," | | 14 | "He held up his hand," | | 15 | "It was the one I" | | 16 | "My pulse hammered against my" | | 17 | "I reached out, my fingers" | | 18 | "He reached out, his gloved" | | 19 | "He didn't touch me, but" |
| | ratio | 0.73 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 63 | | matches | | 0 | "The third deadbolt slid back" | | 1 | "I swung the door open," | | 2 | "Lucien stood beneath the flickering" | | 3 | "His charcoal suit coat was" | | 4 | "He looked like an aristocratic" | | 5 | "I stepped back, but I" | | 6 | "He entered, the air in" | | 7 | "His ivory-handled cane clacked rhythmically" | | 8 | "Ptolemy, the ginger tabby, hissed" | | 9 | "I kicked a discarded stack" | | 10 | "The crescent-shaped scar on my" | | 11 | "I buried my hands deep" | | 12 | "He turned to face me," | | 13 | "He didn't sit." | | 14 | "He never sat." | | 15 | "It would imply he was" | | 16 | "He stepped closer, closing the" | | 17 | "He looked down at me," | | 18 | "He held up his hand," | | 19 | "It was the one I" |
| | ratio | 0.937 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 68.45% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 48 | | technicalSentenceCount | 5 | | matches | | 0 | "He looked down at me, his gaze lingering on the hollow of my throat before rising to capture my eyes." | | 1 | "My pulse hammered against my ribs, a frantic cadence that had nothing to do with fear and everything to do with the way his presence pulled at the seams of my c…" | | 2 | "He looked as impeccable as he had the night we’d fled through the catacombs, back when oxygen was a luxury and the only thing that mattered was the steady grip …" | | 3 | "A black, sleek town car sat idling at the curb, its headlights cutting through the fog like a predatory stare." | | 4 | "The thin, silver blade slid from the ivory handle of his cane with a sharp, metallic *shink* that echoed in the quiet street." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, his voice flat" |
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| 76.83% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 3 | | fancyTags | | 0 | "I whispered (whisper)" | | 1 | "he murmured (murmur)" | | 2 | "he barked (bark)" |
| | dialogueSentences | 41 | | tagDensity | 0.146 | | leniency | 0.293 | | rawRatio | 0.5 | | effectiveRatio | 0.146 | |