| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 36 | | tagDensity | 0.028 | | leniency | 0.056 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1140 | | totalAiIsmAdverbs | 3 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1140 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | word | "down her spine" | | count | 1 |
| | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "traced" | | 1 | "weight" | | 2 | "warmth" | | 3 | "sanctuary" | | 4 | "scanned" | | 5 | "predator" | | 6 | "throbbed" | | 7 | "silence" | | 8 | "desire" | | 9 | "ensure" | | 10 | "flicker" | | 11 | "chill" | | 12 | "resolve" | | 13 | "wavered" | | 14 | "clenching" | | 15 | "down her spine" | | 16 | "intricate" | | 17 | "pulse" | | 18 | "charged" | | 19 | "rhythmic" |
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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 | 59 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 59 | | filterMatches | (empty) | | 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 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1134 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 94.10% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 19 | | wordCount | 805 | | uniqueNames | 5 | | maxNameDensity | 1.12 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Lucien" | | discoveredNames | | Silas | 1 | | Lucien | 7 | | Moreau | 1 | | London | 1 | | Aurora | 9 |
| | persons | | 0 | "Silas" | | 1 | "Lucien" | | 2 | "Moreau" | | 3 | "Aurora" |
| | places | | | globalScore | 0.941 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | 0 | "symbols that seemed to pulse with a life of their own" |
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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 | 1134 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 57 | | mean | 19.89 | | std | 15.36 | | cv | 0.772 | | sampleLengths | | 0 | 45 | | 1 | 5 | | 2 | 45 | | 3 | 3 | | 4 | 29 | | 5 | 26 | | 6 | 7 | | 7 | 27 | | 8 | 2 | | 9 | 6 | | 10 | 42 | | 11 | 46 | | 12 | 9 | | 13 | 43 | | 14 | 6 | | 15 | 41 | | 16 | 4 | | 17 | 30 | | 18 | 4 | | 19 | 18 | | 20 | 18 | | 21 | 33 | | 22 | 14 | | 23 | 34 | | 24 | 14 | | 25 | 37 | | 26 | 9 | | 27 | 17 | | 28 | 48 | | 29 | 11 | | 30 | 3 | | 31 | 53 | | 32 | 22 | | 33 | 18 | | 34 | 9 | | 35 | 8 | | 36 | 18 | | 37 | 6 | | 38 | 45 | | 39 | 4 | | 40 | 5 | | 41 | 5 | | 42 | 11 | | 43 | 18 | | 44 | 26 | | 45 | 10 | | 46 | 2 | | 47 | 18 | | 48 | 32 | | 49 | 14 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 59 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 130 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 5 | | totalSentences | 94 | | ratio | 0.053 | | matches | | 0 | "He looked exactly as he had six months ago—impeccable, distant, and entirely too composed." | | 1 | "The smell of her life—old books, lingering spices from the restaurant, and the faint scent of damp wool—clashed with the cold, metallic aura he carried." | | 2 | "It wasn't ink; it was a series of intricate, shimmering symbols that seemed to pulse with a life of their own." | | 3 | "The scent of him—that intoxicating mix of sandalwood and something darker, like burnt sugar—swirled in her senses." | | 4 | "Lucien’s expression softened, a shadow of a smile touching his lips—a ghost of a look that didn't reach his eyes." |
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| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 816 | | adjectiveStacks | 2 | | stackExamples | | 0 | "dim, rain-slicked corridor." | | 1 | "small, crescent-shaped scar" |
| | adverbCount | 24 | | adverbRatio | 0.029411764705882353 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.011029411764705883 | |
| 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 | 12.06 | | std | 6.18 | | cv | 0.512 | | sampleLengths | | 0 | 17 | | 1 | 11 | | 2 | 17 | | 3 | 5 | | 4 | 13 | | 5 | 13 | | 6 | 19 | | 7 | 3 | | 8 | 14 | | 9 | 15 | | 10 | 3 | | 11 | 15 | | 12 | 8 | | 13 | 7 | | 14 | 13 | | 15 | 14 | | 16 | 2 | | 17 | 6 | | 18 | 8 | | 19 | 11 | | 20 | 23 | | 21 | 25 | | 22 | 21 | | 23 | 9 | | 24 | 16 | | 25 | 16 | | 26 | 11 | | 27 | 6 | | 28 | 12 | | 29 | 14 | | 30 | 15 | | 31 | 4 | | 32 | 14 | | 33 | 16 | | 34 | 4 | | 35 | 18 | | 36 | 18 | | 37 | 5 | | 38 | 19 | | 39 | 9 | | 40 | 14 | | 41 | 4 | | 42 | 15 | | 43 | 15 | | 44 | 14 | | 45 | 10 | | 46 | 4 | | 47 | 23 | | 48 | 9 | | 49 | 17 |
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| 42.55% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.2553191489361702 | | totalSentences | 94 | | uniqueOpeners | 24 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 6.21% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 58 | | matches | | 0 | "She expected the landlord or" | | 1 | "She found Lucien Moreau instead." | | 2 | "He stood in the threshold," | | 3 | "His charcoal suit remained unwrinkled" | | 4 | "She kept the door halfway" | | 5 | "He tilted his head, his" | | 6 | "He looked exactly as he" | | 7 | "He stepped forward, not waiting" | | 8 | "She stepped back, her heel" | | 9 | "He scanned the room, his" | | 10 | "She leaned her back against" | | 11 | "He moved with a grace" | | 12 | "He paced toward the window," | | 13 | "He turned back to her." | | 14 | "He looked exhausted, though he" | | 15 | "He reached into his breast" | | 16 | "He laid it on the" | | 17 | "She didn't touch it." | | 18 | "He stepped closer, invading the" | | 19 | "He stopped just inches away," |
| | ratio | 0.534 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 58 | | matches | | 0 | "The heavy oak door creaked" | | 1 | "Aurora gripped the handle, her" | | 2 | "She expected the landlord or" | | 3 | "She found Lucien Moreau instead." | | 4 | "The scent of ozone and" | | 5 | "He stood in the threshold," | | 6 | "His charcoal suit remained unwrinkled" | | 7 | "Lucien leaned his weight onto" | | 8 | "The amber one glowed with" | | 9 | "Aurora didn't move." | | 10 | "She kept the door halfway" | | 11 | "He tilted his head, his" | | 12 | "He looked exactly as he" | | 13 | "He stepped forward, not waiting" | | 14 | "Aurora felt the air pressure" | | 15 | "She stepped back, her heel" | | 16 | "The smell of her life—old" | | 17 | "He scanned the room, his" | | 18 | "Aurora closed the door with" | | 19 | "She leaned her back against" |
| | ratio | 0.983 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 58 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 9 | | matches | | 0 | "She stepped back, her heel catching on the edge of the rug, allowing him to slip into the cramped warmth of the flat." | | 1 | "He scanned the room, his gaze lingering on the stacks of research notes on the coffee table before settling on her." | | 2 | "He moved with a grace that felt unnatural, a predator masquerading as a gentleman." | | 3 | "The attraction was a physical weight, a heavy, suffocating thing that had never truly left her chest." | | 4 | "Lucien reached out, his fingers hovering near her cheek before he pulled back, clenching his hand around the handle of his cane." | | 5 | "He leaned in, his voice dropping to a low, melodic vibration that sent a shiver down her spine." | | 6 | "It wasn't ink; it was a series of intricate, shimmering symbols that seemed to pulse with a life of their own." | | 7 | "For a second, the fixer, the information broker, and the half-demon vanished, leaving only the man who had broken her heart in a rain-drenched alleyway months a…" | | 8 | "Lucien’s expression softened, a shadow of a smile touching his lips—a ghost of a look that didn't reach his eyes." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "he whispered (whisper)" |
| | dialogueSentences | 36 | | tagDensity | 0.028 | | leniency | 0.056 | | rawRatio | 1 | | effectiveRatio | 0.056 | |