| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 93.12% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1453 | | totalAiIsmAdverbs | 2 | | 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) | |
| 34.62% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1453 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "silk" | | 1 | "gleaming" | | 2 | "warmth" | | 3 | "unreadable" | | 4 | "reminder" | | 5 | "rhythmic" | | 6 | "echoed" | | 7 | "scanned" | | 8 | "pulse" | | 9 | "loomed" | | 10 | "encounter" | | 11 | "silence" | | 12 | "weight" | | 13 | "flicker" | | 14 | "amidst" | | 15 | "intensity" | | 16 | "tension" | | 17 | "electric" | | 18 | "familiar" |
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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 | 75 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 111 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1449 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 10 | | wordCount | 926 | | uniqueNames | 5 | | maxNameDensity | 0.43 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | London | 1 | | Brick | 1 | | Lane | 1 | | Aurora | 4 | | Lucien | 3 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 1 | | matches | | 0 | "felt like the only solid thing in a cru" |
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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 | 1449 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 111 | | matches | | 0 | "hated that he" | | 1 | "hated that he" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 63 | | mean | 23 | | std | 14.01 | | cv | 0.609 | | sampleLengths | | 0 | 38 | | 1 | 15 | | 2 | 43 | | 3 | 1 | | 4 | 48 | | 5 | 11 | | 6 | 29 | | 7 | 23 | | 8 | 42 | | 9 | 11 | | 10 | 21 | | 11 | 45 | | 12 | 18 | | 13 | 42 | | 14 | 35 | | 15 | 6 | | 16 | 22 | | 17 | 45 | | 18 | 18 | | 19 | 20 | | 20 | 44 | | 21 | 7 | | 22 | 40 | | 23 | 13 | | 24 | 7 | | 25 | 30 | | 26 | 24 | | 27 | 8 | | 28 | 15 | | 29 | 37 | | 30 | 15 | | 31 | 12 | | 32 | 30 | | 33 | 32 | | 34 | 23 | | 35 | 7 | | 36 | 38 | | 37 | 21 | | 38 | 29 | | 39 | 30 | | 40 | 5 | | 41 | 13 | | 42 | 18 | | 43 | 18 | | 44 | 14 | | 45 | 8 | | 46 | 8 | | 47 | 41 | | 48 | 16 | | 49 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 150 | | matches | (empty) | |
| 91.38% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 111 | | ratio | 0.018 | | matches | | 0 | "The smell of him—cold air, old paper, and something primal—overwhelmed the scent of the leftover curry from the restaurant." | | 1 | "The world outside—the rain, the curry houses, the supernatural underworld he inhabited—ceased to exist." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 932 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, leather-bound ledger" |
| | adverbCount | 22 | | adverbRatio | 0.023605150214592276 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.0075107296137339056 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 111 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 111 | | mean | 13.05 | | std | 7.01 | | cv | 0.537 | | sampleLengths | | 0 | 8 | | 1 | 10 | | 2 | 20 | | 3 | 15 | | 4 | 14 | | 5 | 4 | | 6 | 9 | | 7 | 16 | | 8 | 1 | | 9 | 12 | | 10 | 18 | | 11 | 18 | | 12 | 11 | | 13 | 20 | | 14 | 9 | | 15 | 23 | | 16 | 16 | | 17 | 14 | | 18 | 3 | | 19 | 9 | | 20 | 11 | | 21 | 21 | | 22 | 9 | | 23 | 36 | | 24 | 18 | | 25 | 14 | | 26 | 8 | | 27 | 20 | | 28 | 7 | | 29 | 10 | | 30 | 18 | | 31 | 6 | | 32 | 22 | | 33 | 25 | | 34 | 5 | | 35 | 15 | | 36 | 18 | | 37 | 20 | | 38 | 12 | | 39 | 21 | | 40 | 11 | | 41 | 7 | | 42 | 8 | | 43 | 19 | | 44 | 13 | | 45 | 13 | | 46 | 7 | | 47 | 9 | | 48 | 7 | | 49 | 14 |
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| 38.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.21621621621621623 | | totalSentences | 111 | | uniqueOpeners | 24 | |
| 44.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 75 | | matches | | 0 | "Instead, she leaned into his" |
| | ratio | 0.013 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 75 | | matches | | 0 | "She didn't need to look" | | 1 | "It hit the ceramic plate" | | 2 | "She gripped the edge of" | | 3 | "She stood, her chair scraping" | | 4 | "He leaned against the doorframe," | | 5 | "His amber eye caught the" | | 6 | "She stepped around the counter," | | 7 | "He didn't budge." | | 8 | "He stood like a monolith," | | 9 | "She brushed past him, her" | | 10 | "She retreated to the small" | | 11 | "His sheer presence seemed to" | | 12 | "He scanned the room, his" | | 13 | "She grabbed a glass from" | | 14 | "She hated that he noticed." | | 15 | "She hated that he could" | | 16 | "She turned to face him," | | 17 | "He stepped closer, closing the" | | 18 | "He loomed over her, his" | | 19 | "He didn't touch her skin," |
| | ratio | 0.573 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 75 | | matches | | 0 | "The heavy oak door creaked" | | 1 | "Aurora froze, a half-eaten dumpling" | | 2 | "She didn't need to look" | | 3 | "The voice cut through the" | | 4 | "Aurora dropped the dumpling." | | 5 | "It hit the ceramic plate" | | 6 | "She gripped the edge of" | | 7 | "She stood, her chair scraping" | | 8 | "He leaned against the doorframe," | | 9 | "His amber eye caught the" | | 10 | "The black eye remained a" | | 11 | "Aurora crossed her arms, shielding" | | 12 | "She stepped around the counter," | | 13 | "He didn't budge." | | 14 | "He stood like a monolith," | | 15 | "She brushed past him, her" | | 16 | "The contact sent a jolt" | | 17 | "She retreated to the small" | | 18 | "The flat felt smaller with" | | 19 | "His sheer presence seemed to" |
| | ratio | 0.933 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 82.07% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 4 | | matches | | 0 | "She didn't need to look up to recognize the scent of sandalwood and expensive rain that drifted through the hallway." | | 1 | "He walked toward her again, his eyes locking onto hers with an intensity that made her breath hitch." | | 2 | "His skin felt electric, a spark that ignited the hollow ache in her chest." | | 3 | "He lifted her, her legs instinctively wrapping around his waist, her hands searching the familiar planes of his shoulders." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |