| 82.35% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 8 | | adverbTagCount | 1 | | adverbTags | | 0 | "He stands abruptly [abruptly]" |
| | dialogueSentences | 17 | | tagDensity | 0.471 | | leniency | 0.941 | | rawRatio | 0.125 | | effectiveRatio | 0.118 | |
| 75.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 811 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "softly" | | 1 | "slightly" | | 2 | "sharply" | | 3 | "truly" |
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| 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) | |
| 32.18% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 811 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "glint" | | 1 | "tension" | | 2 | "scanning" | | 3 | "weight" | | 4 | "etched" | | 5 | "stomach" | | 6 | "trembled" | | 7 | "electric" | | 8 | "looms" | | 9 | "silence" | | 10 | "gleaming" |
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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 | 53 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 53 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 61 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 807 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 84.21% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 684 | | uniqueNames | 10 | | maxNameDensity | 1.32 | | worstName | "Lucien" | | maxWindowNameDensity | 2 | | worstWindowName | "Lucien" | | discoveredNames | | Aurora | 3 | | Carter | 1 | | Lucien | 9 | | Moreau | 1 | | Eva | 1 | | Ptolemy | 4 | | French | 1 | | Marseille | 1 | | London | 1 | | Evan | 2 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Lucien" | | 3 | "Moreau" | | 4 | "Eva" | | 5 | "Ptolemy" | | 6 | "Evan" |
| | places | | | globalScore | 0.842 | | windowScore | 1 | |
| 93.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 1 | | matches | | 0 | "as if sensing the tension coiling between them" |
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| 76.08% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.239 | | wordCount | 807 | | matches | | 0 | "Not out of fear, but habit" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 61 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 36.68 | | std | 20.46 | | cv | 0.558 | | sampleLengths | | 0 | 83 | | 1 | 62 | | 2 | 58 | | 3 | 67 | | 4 | 43 | | 5 | 52 | | 6 | 10 | | 7 | 20 | | 8 | 36 | | 9 | 33 | | 10 | 32 | | 11 | 53 | | 12 | 4 | | 13 | 34 | | 14 | 34 | | 15 | 14 | | 16 | 52 | | 17 | 7 | | 18 | 19 | | 19 | 46 | | 20 | 29 | | 21 | 19 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 53 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 111 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 61 | | ratio | 0.066 | | matches | | 0 | "Her bright blue eyes narrow, scanning the lines of his face—the heterochromatic gaze, the way his platinum hair catches the light like liquid silver." | | 1 | "The room swallows him whole—stacks of books teeter on every surface, scrolls spilling from wicker baskets, the faint hum of a desk lamp casting shadows over maps marked with cryptic symbols." | | 2 | "The cane’s handle bears a faint engraving—a serpent coiled around a key, the same symbol etched into the locket she’d once pressed to her lips." | | 3 | "The seal bears the crest of a serpent devouring its own tail—a sigil from the old world, the one they’d sworn to leave behind." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 689 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 25 | | adverbRatio | 0.036284470246734396 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.008708272859216255 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 61 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 61 | | mean | 13.23 | | std | 7.16 | | cv | 0.542 | | sampleLengths | | 0 | 20 | | 1 | 22 | | 2 | 24 | | 3 | 17 | | 4 | 18 | | 5 | 24 | | 6 | 20 | | 7 | 8 | | 8 | 31 | | 9 | 19 | | 10 | 12 | | 11 | 31 | | 12 | 24 | | 13 | 15 | | 14 | 6 | | 15 | 22 | | 16 | 14 | | 17 | 25 | | 18 | 4 | | 19 | 9 | | 20 | 10 | | 21 | 7 | | 22 | 13 | | 23 | 5 | | 24 | 19 | | 25 | 6 | | 26 | 6 | | 27 | 3 | | 28 | 24 | | 29 | 3 | | 30 | 3 | | 31 | 12 | | 32 | 20 | | 33 | 14 | | 34 | 21 | | 35 | 12 | | 36 | 6 | | 37 | 4 | | 38 | 19 | | 39 | 15 | | 40 | 7 | | 41 | 9 | | 42 | 13 | | 43 | 5 | | 44 | 5 | | 45 | 9 | | 46 | 3 | | 47 | 17 | | 48 | 18 | | 49 | 14 |
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| 81.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.4918032786885246 | | totalSentences | 61 | | uniqueOpeners | 30 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 51 | | matches | | 0 | "Then Lucien reaches into his" | | 1 | "Somewhere beyond the walls, a" |
| | ratio | 0.039 | |
| 63.14% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 51 | | matches | | 0 | "His ivory cane leans against" | | 1 | "She stands in the doorway" | | 2 | "she says, her voice steady" | | 3 | "Her bright blue eyes narrow," | | 4 | "She notices the faint scar" | | 5 | "His French accent lingers on" | | 6 | "she orders, though her fingers" | | 7 | "He lowers himself into the" | | 8 | "His amber eye flickers to" | | 9 | "he asks, nodding at the" | | 10 | "she counters, leaning forward" | | 11 | "He slides it across the" | | 12 | "Her stomach drops." | | 13 | "His voice is low, almost" | | 14 | "She stares at the letter," | | 15 | "He stands abruptly, cane tapping" | | 16 | "She kneels, brushing a stray" | | 17 | "She thinks of Evan’s betrayal," | | 18 | "His gaze drops to her" | | 19 | "She imagines the tower’s shadow" |
| | ratio | 0.392 | |
| 38.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 51 | | matches | | 0 | "The door creaks open just" | | 1 | "His ivory cane leans against" | | 2 | "She stands in the doorway" | | 3 | "The cat, Ptolemy, watches from" | | 4 | "she says, her voice steady" | | 5 | "Her bright blue eyes narrow," | | 6 | "She notices the faint scar" | | 7 | "Lucien inclines his head, the" | | 8 | "His French accent lingers on" | | 9 | "The security of three deadbolts" | | 10 | "Aurora steps aside, gesturing him" | | 11 | "The room swallows him whole—stacks" | | 12 | "Ptolemy leaps down, arching his" | | 13 | "she orders, though her fingers" | | 14 | "The one she keeps close" | | 15 | "He lowers himself into the" | | 16 | "The cane’s handle bears a" | | 17 | "Lucien notices it too." | | 18 | "His amber eye flickers to" | | 19 | "he asks, nodding at the" |
| | ratio | 0.843 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 66.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 28 | | technicalSentenceCount | 3 | | matches | | 0 | "The cat, Ptolemy, watches from the windowsill, tail flicking as if sensing the tension coiling between them." | | 1 | "She notices the faint scar on his jaw, a thin white line that mirrors the crescent on her own wrist." | | 2 | "Ptolemy leaps down, arching his back as if to greet Lucien, then settles beside a table littered with half-empty teacups and a brass astrolabe." |
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| 62.50% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 8 | | uselessAdditionCount | 1 | | matches | | 0 | "He stands abruptly, cane tapping against the leg of the table" |
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| 32.35% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "she orders (order)" | | 1 | "she whispers (whisper)" |
| | dialogueSentences | 17 | | tagDensity | 0.294 | | leniency | 0.588 | | rawRatio | 0.4 | | effectiveRatio | 0.235 | |