| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.15 | | leniency | 0.3 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 92.13% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1271 | | 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) | |
| 29.19% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1271 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "sanctuary" | | 1 | "chaotic" | | 2 | "warmth" | | 3 | "silence" | | 4 | "echoing" | | 5 | "flicker" | | 6 | "rhythmic" | | 7 | "dance" | | 8 | "pulse" | | 9 | "velvet" | | 10 | "whisper" | | 11 | "shimmered" | | 12 | "reminder" | | 13 | "familiar" | | 14 | "magnetic" | | 15 | "could feel" | | 16 | "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 | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 67 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1271 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 88.57% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 814 | | uniqueNames | 7 | | maxNameDensity | 1.23 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Moreau | 2 | | Avarosian | 1 | | One | 1 | | Aurora | 10 | | Brick | 1 | | Lane | 1 | | Lucien | 9 |
| | persons | | 0 | "Moreau" | | 1 | "One" | | 2 | "Aurora" | | 3 | "Lucien" |
| | places | | | globalScore | 0.886 | | windowScore | 1 | |
| 59.09% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 2 | | matches | | 0 | "tasted like ozone on the back of her tong" | | 1 | "felt like a cage" |
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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 | 1271 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 54 | | mean | 23.54 | | std | 16.8 | | cv | 0.714 | | sampleLengths | | 0 | 19 | | 1 | 62 | | 2 | 14 | | 3 | 4 | | 4 | 13 | | 5 | 4 | | 6 | 15 | | 7 | 44 | | 8 | 50 | | 9 | 28 | | 10 | 11 | | 11 | 43 | | 12 | 37 | | 13 | 17 | | 14 | 4 | | 15 | 14 | | 16 | 49 | | 17 | 3 | | 18 | 16 | | 19 | 55 | | 20 | 42 | | 21 | 17 | | 22 | 11 | | 23 | 27 | | 24 | 56 | | 25 | 31 | | 26 | 6 | | 27 | 33 | | 28 | 25 | | 29 | 29 | | 30 | 15 | | 31 | 6 | | 32 | 5 | | 33 | 45 | | 34 | 12 | | 35 | 12 | | 36 | 39 | | 37 | 4 | | 38 | 21 | | 39 | 6 | | 40 | 16 | | 41 | 43 | | 42 | 12 | | 43 | 13 | | 44 | 45 | | 45 | 6 | | 46 | 40 | | 47 | 3 | | 48 | 3 | | 49 | 33 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 135 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 101 | | ratio | 0.01 | | matches | | 0 | "He didn't wait for her to move; he simply glided past her into the flat." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 821 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 26 | | adverbRatio | 0.031668696711327646 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.012180267965895249 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 12.58 | | std | 7.42 | | cv | 0.59 | | sampleLengths | | 0 | 9 | | 1 | 10 | | 2 | 18 | | 3 | 28 | | 4 | 16 | | 5 | 14 | | 6 | 4 | | 7 | 7 | | 8 | 6 | | 9 | 4 | | 10 | 15 | | 11 | 9 | | 12 | 20 | | 13 | 15 | | 14 | 8 | | 15 | 18 | | 16 | 24 | | 17 | 21 | | 18 | 4 | | 19 | 3 | | 20 | 11 | | 21 | 12 | | 22 | 22 | | 23 | 9 | | 24 | 11 | | 25 | 10 | | 26 | 9 | | 27 | 7 | | 28 | 17 | | 29 | 4 | | 30 | 14 | | 31 | 15 | | 32 | 18 | | 33 | 16 | | 34 | 3 | | 35 | 16 | | 36 | 12 | | 37 | 43 | | 38 | 13 | | 39 | 14 | | 40 | 15 | | 41 | 17 | | 42 | 11 | | 43 | 3 | | 44 | 4 | | 45 | 20 | | 46 | 2 | | 47 | 5 | | 48 | 19 | | 49 | 15 |
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| 41.09% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.2871287128712871 | | totalSentences | 101 | | uniqueOpeners | 29 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 29.23% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 65 | | matches | | 0 | "He looked as though he" | | 1 | "His platinum blond hair remained" | | 2 | "He leaned on his ivory-handled" | | 3 | "He smelled of expensive sandalwood" | | 4 | "He didn't wait for her" | | 5 | "He didn't touch them." | | 6 | "He knew better." | | 7 | "He turned to face her" | | 8 | "She leaned her back against" | | 9 | "It always did when he" | | 10 | "He paced the length of" | | 11 | "He stopped before a stack" | | 12 | "He turned, his voice dropping" | | 13 | "She stopped just inches from" | | 14 | "It wasn't a kind look." | | 15 | "It was the smile of" | | 16 | "He reached out, his fingers" | | 17 | "He didn't touch her, but" | | 18 | "He leaned in, his voice" | | 19 | "It wasn't a strong push," |
| | ratio | 0.477 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 65 | | matches | | 0 | "The third deadbolt clicked open" | | 1 | "Aurora pulled the door wide," | | 2 | "Lucien Moreau stood in the" | | 3 | "He looked as though he" | | 4 | "His platinum blond hair remained" | | 5 | "He leaned on his ivory-handled" | | 6 | "Aurora tightened her grip on" | | 7 | "Lucien stepped forward, invading her" | | 8 | "He smelled of expensive sandalwood" | | 9 | "He didn't wait for her" | | 10 | "Eva's place felt smaller with" | | 11 | "The cramped one-bedroom flat, usually" | | 12 | "Ptolemy, the tabby cat, hissed" | | 13 | "Lucien paused by a table" | | 14 | "He didn't touch them." | | 15 | "He knew better." | | 16 | "He turned to face her" | | 17 | "Aurora closed the door, the" | | 18 | "She leaned her back against" | | 19 | "The small crescent-shaped scar on" |
| | ratio | 0.969 | |
| 76.92% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 65 | | matches | | 0 | "Just as his mouth touched" |
| | ratio | 0.015 | |
| 55.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 5 | | matches | | 0 | "He looked as though he had stepped directly out of a high-fashion editorial, draped in a tailored charcoal suit that clung to his lean frame with surgical preci…" | | 1 | "Aurora felt the familiar, traitorous pull of him, the magnetic attraction that had once blinded her to the red flags." | | 2 | "His hand finally made contact, his thumb brushing the line of her jaw, tilting her face up to meet his gaze." | | 3 | "She could feel the hum of his demonic energy, a low-frequency vibration that mirrored the thrumming of her own heart." | | 4 | "He broke the kiss, his expression shifting from longing to lethal precision in a heartbeat." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 2 | | matches | | 0 | "He turned, his voice dropping an octave" | | 1 | "He leaned in, his voice a velvet whisper against her ear" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |