| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.037 | | leniency | 0.074 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1554 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 3.47% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1554 | | totalAiIsms | 30 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | |
| | highlights | | 0 | "predator" | | 1 | "chill" | | 2 | "velvet" | | 3 | "silence" | | 4 | "effortless" | | 5 | "echoed" | | 6 | "marble" | | 7 | "navigating" | | 8 | "familiar" | | 9 | "could feel" | | 10 | "stark" | | 11 | "flicker" | | 12 | "intensity" | | 13 | "ensuring" | | 14 | "treacherous" | | 15 | "vibrated" | | 16 | "porcelain" | | 17 | "unspoken" | | 18 | "tracing" | | 19 | "silk" | | 20 | "calculated" | | 21 | "gloom" | | 22 | "desire" | | 23 | "rhythmic" | | 24 | "weight" |
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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 | 86 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 86 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1550 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 1175 | | uniqueNames | 8 | | maxNameDensity | 0.6 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Golden | 1 | | Empress | 1 | | Moreau | 1 | | London | 2 | | Brick | 1 | | Lane | 1 | | Aurora | 7 | | Lucien | 5 |
| | persons | | 0 | "Moreau" | | 1 | "Aurora" | | 2 | "Lucien" |
| | places | | 0 | "Golden" | | 1 | "London" | | 2 | "Brick" | | 3 | "Lane" |
| | globalScore | 1 | | windowScore | 1 | |
| 89.76% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like a god of some forgotten, dark" | | 1 | "felt like a reclamation, a reclaiming o" |
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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 | 1550 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 112 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 27.19 | | std | 15.75 | | cv | 0.579 | | sampleLengths | | 0 | 51 | | 1 | 48 | | 2 | 13 | | 3 | 17 | | 4 | 35 | | 5 | 18 | | 6 | 38 | | 7 | 3 | | 8 | 20 | | 9 | 14 | | 10 | 44 | | 11 | 11 | | 12 | 29 | | 13 | 15 | | 14 | 44 | | 15 | 10 | | 16 | 12 | | 17 | 37 | | 18 | 4 | | 19 | 1 | | 20 | 48 | | 21 | 18 | | 22 | 35 | | 23 | 26 | | 24 | 9 | | 25 | 33 | | 26 | 51 | | 27 | 32 | | 28 | 24 | | 29 | 52 | | 30 | 7 | | 31 | 29 | | 32 | 10 | | 33 | 5 | | 34 | 47 | | 35 | 27 | | 36 | 21 | | 37 | 15 | | 38 | 35 | | 39 | 26 | | 40 | 10 | | 41 | 37 | | 42 | 44 | | 43 | 45 | | 44 | 63 | | 45 | 26 | | 46 | 9 | | 47 | 5 | | 48 | 40 | | 49 | 39 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 86 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 180 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 5 | | flaggedSentences | 7 | | totalSentences | 112 | | ratio | 0.063 | | matches | | 0 | "His heterochromatic eyes—one a predator's amber, the other a void of black—searched her face with a familiarity that made her skin itch." | | 1 | "He didn't walk; he glided, a predator navigating a familiar territory." | | 2 | "It didn't shatter; it landed on the rug with a muted, heavy thud." | | 3 | "It wasn't a challenge; it was a fracture in her armor." | | 4 | "It wasn't a demand; it was a question." | | 5 | "He didn't break the kiss; he only deepened it, his tongue tracing the seam of her lips until she opened for him." | | 6 | "The world outside the flat—the sirens on Brick Lane, the muffled shouts of the curry house patrons, the relentless London rain—faded into a dull hum." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1182 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 30 | | adverbRatio | 0.025380710659898477 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004230118443316413 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 13.84 | | std | 6.58 | | cv | 0.475 | | sampleLengths | | 0 | 16 | | 1 | 15 | | 2 | 20 | | 3 | 6 | | 4 | 14 | | 5 | 28 | | 6 | 7 | | 7 | 6 | | 8 | 17 | | 9 | 13 | | 10 | 22 | | 11 | 18 | | 12 | 17 | | 13 | 7 | | 14 | 14 | | 15 | 3 | | 16 | 20 | | 17 | 14 | | 18 | 11 | | 19 | 22 | | 20 | 11 | | 21 | 11 | | 22 | 6 | | 23 | 16 | | 24 | 7 | | 25 | 15 | | 26 | 15 | | 27 | 29 | | 28 | 10 | | 29 | 12 | | 30 | 7 | | 31 | 7 | | 32 | 23 | | 33 | 4 | | 34 | 1 | | 35 | 9 | | 36 | 3 | | 37 | 11 | | 38 | 6 | | 39 | 19 | | 40 | 18 | | 41 | 9 | | 42 | 13 | | 43 | 13 | | 44 | 26 | | 45 | 9 | | 46 | 33 | | 47 | 4 | | 48 | 18 | | 49 | 11 |
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| 41.07% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.16964285714285715 | | totalSentences | 112 | | uniqueOpeners | 19 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 52 | | totalSentences | 86 | | matches | | 0 | "He looked less like a" | | 1 | "He leaned heavily on the" | | 2 | "His heterochromatic eyes—one a predator's" | | 3 | "She stepped back, a subconscious" | | 4 | "He didn't wait for a" | | 5 | "He stepped into the narrow" | | 6 | "He reached out, his gloved" | | 7 | "Her heart hammered a frantic" | | 8 | "She set the bag on" | | 9 | "He closed the door behind" | | 10 | "He moved toward the center" | | 11 | "He bypassed the stacks of" | | 12 | "She refused to look at" | | 13 | "He moved closer." | | 14 | "He didn't walk; he glided," | | 15 | "He stopped just inches behind" | | 16 | "She could feel the heat" | | 17 | "It didn't shatter; it landed" | | 18 | "She slammed her palms against" | | 19 | "His face remained a mask" |
| | ratio | 0.605 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 86 | | totalSentences | 86 | | matches | | 0 | "The heavy oak door groaned" | | 1 | "Aurora froze, her hand still" | | 2 | "The scent of ginger and" | | 3 | "Lucien Moreau stood in the" | | 4 | "Rainwater pooled around his polished" | | 5 | "He looked less like a" | | 6 | "Aurora’s grip tightened on the" | | 7 | "The grease soaked through the" | | 8 | "He leaned heavily on the" | | 9 | "His heterochromatic eyes—one a predator's" | | 10 | "She stepped back, a subconscious" | | 11 | "He didn't wait for a" | | 12 | "He stepped into the narrow" | | 13 | "He reached out, his gloved" | | 14 | "Aurora turned her back to" | | 15 | "Her heart hammered a frantic" | | 16 | "She set the bag on" | | 17 | "He closed the door behind" | | 18 | "The three deadbolts clicked into" | | 19 | "The sound echoed in the" |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 86 | | matches | (empty) | | ratio | 0 | |
| 87.05% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 64 | | technicalSentenceCount | 5 | | matches | | 0 | "His heterochromatic eyes—one a predator's amber, the other a void of black—searched her face with a familiarity that made her skin itch." | | 1 | "The contact sent a jolt of electricity through her, a treacherous spark that ignited the embers of a fire she thought she had smothered months ago." | | 2 | "She stared into his mismatched eyes, looking for the man she had known, not the fixer who manipulated the fates of kings." | | 3 | "The hardness of his body pressed against her softness, a friction that made her head spin." | | 4 | "It was filled with the sound of their breathing, the rhythmic friction of cloth against skin, and the heavy, unspoken weight of a history that refused to stay b…" |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "he whispered, his eyes searching hers," |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "he whispered (whisper)" |
| | dialogueSentences | 27 | | tagDensity | 0.037 | | leniency | 0.074 | | rawRatio | 1 | | effectiveRatio | 0.074 | |