| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 1 | | adverbTags | | 0 | "His voice dropped barely [barely]" |
| | dialogueSentences | 54 | | tagDensity | 0.389 | | leniency | 0.778 | | rawRatio | 0.048 | | effectiveRatio | 0.037 | |
| 84.02% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1564 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
| | 2 | | | 3 | |
| | highlights | | 0 | "suddenly" | | 1 | "barely above a whisper" | | 2 | "slowly" | | 3 | "completely" |
| |
| 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) | |
| 71.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1564 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "repository" | | 1 | "profound" | | 2 | "charged" | | 3 | "standard" | | 4 | "whisper" | | 5 | "could feel" | | 6 | "unreadable" | | 7 | "tracing" | | 8 | "determined" |
| |
| 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 | 60 | | matches | (empty) | |
| 71.43% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 60 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 69 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1548 | | ratio | 0.002 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 1 | | matches | | 0 | "For a long moment, he said nothing." |
| |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 930 | | uniqueNames | 9 | | maxNameDensity | 0.75 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Three" | | discoveredNames | | Aurora | 7 | | Eva | 4 | | Ptolemy | 3 | | Moreau | 2 | | Shoreditch | 1 | | Lucien | 6 | | Demon | 1 | | Evan | 1 | | Three | 5 |
| | persons | | 0 | "Aurora" | | 1 | "Eva" | | 2 | "Ptolemy" | | 3 | "Moreau" | | 4 | "Lucien" | | 5 | "Evan" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like they'd been built for suits r" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.646 | | wordCount | 1548 | | matches | | 0 | "Not of you—well, yes of you, but not in the way you're thinking" |
| |
| 95.74% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 94 | | matches | | 0 | "blazed, that amber" | | 1 | "realized that her" |
| |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 30.35 | | std | 26.5 | | cv | 0.873 | | sampleLengths | | 0 | 64 | | 1 | 19 | | 2 | 61 | | 3 | 17 | | 4 | 101 | | 5 | 76 | | 6 | 18 | | 7 | 24 | | 8 | 39 | | 9 | 5 | | 10 | 60 | | 11 | 5 | | 12 | 32 | | 13 | 1 | | 14 | 9 | | 15 | 26 | | 16 | 39 | | 17 | 3 | | 18 | 1 | | 19 | 21 | | 20 | 9 | | 21 | 30 | | 22 | 18 | | 23 | 18 | | 24 | 53 | | 25 | 12 | | 26 | 5 | | 27 | 28 | | 28 | 68 | | 29 | 3 | | 30 | 79 | | 31 | 4 | | 32 | 66 | | 33 | 12 | | 34 | 2 | | 35 | 73 | | 36 | 7 | | 37 | 9 | | 38 | 71 | | 39 | 37 | | 40 | 48 | | 41 | 6 | | 42 | 85 | | 43 | 34 | | 44 | 5 | | 45 | 2 | | 46 | 29 | | 47 | 52 | | 48 | 30 | | 49 | 7 |
| |
| 93.57% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 60 | | matches | | 0 | "been built" | | 1 | "been rendered" |
| |
| 84.39% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 173 | | matches | | 0 | "was wearing" | | 1 | "was checking" | | 2 | "was deciding" |
| |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 94 | | ratio | 0.074 | | matches | | 0 | "Three of them, sliding back in sequence—the distinctive rhythm of Eva's paranoia, the one quirk she'd never managed to shake." | | 1 | "The fluorescent light above him caught the platinum of his slicked-back hair and made his eyes seem to glow—amber and black, that unsettling asymmetry that had captivated her from the first moment she'd seen him across a crowded room in a club that didn't exist on any map." | | 2 | "\"I know what you *said*.\" He stepped closer, just one step, but it was enough to close the distance enough that she could smell his cologne—something expensive and understated, with a hint of something underneath that she'd never been able to name." | | 3 | "His fingers brushed the crescent scar on her left wrist—the one she'd told him came from a childhood accident, the one that was actually from Evan, from the night she'd finally gathered the courage to leave." | | 4 | "\"I couldn't keep pretending.\" She looked up at him, let him see all of it—the fear, the want, the terrible hope she'd been trying to drown for three weeks." | | 5 | "Then he raised his free hand—the one not gripping his cane—and touched her face, his thumb tracing the line of her cheekbone with a gentleness that made her knees weak." | | 6 | "The door swung shut behind them with a soft click—neither of them noticed Ptolemy slinking out into the hall, mission accomplished, off to find somewhere warm to sleep." |
| |
| 96.23% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 948 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 42 | | adverbRatio | 0.04430379746835443 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.011603375527426161 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 16.47 | | std | 14.31 | | cv | 0.869 | | sampleLengths | | 0 | 11 | | 1 | 20 | | 2 | 33 | | 3 | 16 | | 4 | 3 | | 5 | 21 | | 6 | 7 | | 7 | 33 | | 8 | 17 | | 9 | 26 | | 10 | 48 | | 11 | 27 | | 12 | 2 | | 13 | 14 | | 14 | 34 | | 15 | 26 | | 16 | 18 | | 17 | 10 | | 18 | 8 | | 19 | 6 | | 20 | 24 | | 21 | 15 | | 22 | 5 | | 23 | 43 | | 24 | 17 | | 25 | 3 | | 26 | 2 | | 27 | 28 | | 28 | 4 | | 29 | 1 | | 30 | 9 | | 31 | 3 | | 32 | 23 | | 33 | 14 | | 34 | 15 | | 35 | 10 | | 36 | 3 | | 37 | 1 | | 38 | 21 | | 39 | 4 | | 40 | 5 | | 41 | 19 | | 42 | 11 | | 43 | 3 | | 44 | 15 | | 45 | 15 | | 46 | 3 | | 47 | 42 | | 48 | 2 | | 49 | 3 |
| |
| 55.67% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.40425531914893614 | | totalSentences | 94 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 54 | | matches | | 0 | "Then he raised his free" | | 1 | "Somewhere inside the flat, a" | | 2 | "Then a third, as Eva," |
| | ratio | 0.056 | |
| 49.63% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 54 | | matches | | 0 | "She told herself it was" | | 1 | "She told herself she hadn't" | | 2 | "She told herself a lot" | | 3 | "He was wearing charcoal, as" | | 4 | "He said her name like" | | 5 | "He tilted his head, a" | | 6 | "He didn't move from the" | | 7 | "She glanced down." | | 8 | "His voice dropped, barely above" | | 9 | "She heard herself say it," | | 10 | "He stepped closer, just one" | | 11 | "She flinched at the name," | | 12 | "His eyes blazed, that amber" | | 13 | "He laughed, but there was" | | 14 | "He reached out, slowly, giving" | | 15 | "His fingers brushed the crescent" | | 16 | "Her voice cracked" | | 17 | "She stopped, breathing hard, her" | | 18 | "She looked up at him," | | 19 | "He stopped, swallowed, and for" |
| | ratio | 0.426 | |
| 89.63% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 54 | | matches | | 0 | "The first thing Aurora noticed" | | 1 | "The second thing she noticed" | | 2 | "Eva's voice came from somewhere" | | 3 | "She told herself it was" | | 4 | "She told herself she hadn't" | | 5 | "She told herself a lot" | | 6 | "Lucien Moreau stood in the" | | 7 | "The fluorescent light above him" | | 8 | "He was wearing charcoal, as" | | 9 | "He said her name like" | | 10 | "The words came out sharper" | | 11 | "He tilted his head, a" | | 12 | "A pause, those mismatched eyes" | | 13 | "Aurora's jaw tightened." | | 14 | "He didn't move from the" | | 15 | "She glanced down." | | 16 | "The cat had wound between" | | 17 | "Aurora said, but she didn't" | | 18 | "The hallway felt too small," | | 19 | "Aurora stared at him." |
| | ratio | 0.741 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 6 | | matches | | 0 | "The second thing she noticed was Ptolemy, who had been dozing on the back of the couch, suddenly rigid with his ears flat against his skull, a low growl vibrati…" | | 1 | "But Aurora was already crossing the room, her bare feet silent on the worn carpet, her hand reaching for the handle." | | 2 | "The fluorescent light above him caught the platinum of his slicked-back hair and made his eyes seem to glow—amber and black, that unsettling asymmetry that had …" | | 3 | "He was wearing charcoal, as always, the fabric impeccable, the cut highlighting shoulders that looked like they'd been built for suits rather than the other way…" | | 4 | "The cat had wound between her ankles and was now staring up at Lucien with an expression of profound suspicion, his tail lashing." | | 5 | "Then he raised his free hand—the one not gripping his cane—and touched her face, his thumb tracing the line of her cheekbone with a gentleness that made her kne…" |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 1 | | matches | | 0 | "She heard, the words scraped from somewhere deep" |
| |
| 75.93% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 4 | | fancyTags | | 0 | "She heard (hear)" | | 1 | "He laughed (laugh)" | | 2 | "he murmured (murmur)" | | 3 | "she whispered (whisper)" |
| | dialogueSentences | 54 | | tagDensity | 0.13 | | leniency | 0.259 | | rawRatio | 0.571 | | effectiveRatio | 0.148 | |