| 18.18% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 3 | | adverbTags | | 0 | "he said simply [simply]" | | 1 | "she repeated slowly [slowly]" | | 2 | "behind her ear he added softly [softly]" |
| | dialogueSentences | 33 | | tagDensity | 0.424 | | leniency | 0.848 | | rawRatio | 0.214 | | effectiveRatio | 0.182 | |
| 71.33% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 872 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "utterly" | | 2 | "perfectly" | | 3 | "softly" |
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| 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) | |
| 8.26% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 872 | | totalAiIsms | 16 | | found | | 0 | | | 1 | | word | "skipped a beat" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | word | "down her spine" | | count | 1 |
| | 9 | | | 10 | | | 11 | | | 12 | |
| | highlights | | 0 | "echoed" | | 1 | "skipped a beat" | | 2 | "pulse" | | 3 | "pounding" | | 4 | "gleaming" | | 5 | "whisper" | | 6 | "familiar" | | 7 | "flicked" | | 8 | "down her spine" | | 9 | "depths" | | 10 | "racing" | | 11 | "tracing" | | 12 | "warmth" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 57 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 57 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 75 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 871 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 58.96% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 28 | | wordCount | 714 | | uniqueNames | 6 | | maxNameDensity | 1.82 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Lucien | 10 | | Moreau | 2 | | Frenchman | 1 | | One | 1 | | Aurora | 13 | | London | 1 |
| | persons | | 0 | "Lucien" | | 1 | "Moreau" | | 2 | "Aurora" |
| | places | | | globalScore | 0.59 | | windowScore | 0.833 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 1 | | matches | | 0 | "something akin to pain flickering in their dept" |
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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 | 871 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 75 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 27.22 | | std | 17.92 | | cv | 0.658 | | sampleLengths | | 0 | 63 | | 1 | 47 | | 2 | 8 | | 3 | 22 | | 4 | 16 | | 5 | 9 | | 6 | 19 | | 7 | 62 | | 8 | 17 | | 9 | 34 | | 10 | 14 | | 11 | 7 | | 12 | 41 | | 13 | 15 | | 14 | 22 | | 15 | 35 | | 16 | 42 | | 17 | 31 | | 18 | 16 | | 19 | 19 | | 20 | 19 | | 21 | 8 | | 22 | 71 | | 23 | 1 | | 24 | 11 | | 25 | 35 | | 26 | 61 | | 27 | 24 | | 28 | 31 | | 29 | 19 | | 30 | 14 | | 31 | 38 |
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| 99.11% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 57 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 124 | | matches | | |
| 28.57% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 75 | | ratio | 0.04 | | matches | | 0 | "There he stood, platinum hair gleaming under the dingy hallway light — Lucien Moreau, the Frenchman." | | 1 | "His keen gaze took in the familiar surroundings — the stacks of books and scrolls, the sleeping tabby cat curled on the sofa, the faded floral armchair where she'd been sitting." | | 2 | "This was Lucien Moreau, the impeccably dressed, silver-tongued fixer of London's supernatural underworld — a man who was known for his ruthless pragmatism and self-preservation above all else." |
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| 93.20% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 440 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 18 | | adverbRatio | 0.04090909090909091 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.013636363636363636 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 75 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 75 | | mean | 11.61 | | std | 6.99 | | cv | 0.602 | | sampleLengths | | 0 | 15 | | 1 | 5 | | 2 | 4 | | 3 | 19 | | 4 | 20 | | 5 | 16 | | 6 | 4 | | 7 | 14 | | 8 | 13 | | 9 | 8 | | 10 | 17 | | 11 | 5 | | 12 | 11 | | 13 | 5 | | 14 | 8 | | 15 | 1 | | 16 | 15 | | 17 | 4 | | 18 | 14 | | 19 | 31 | | 20 | 17 | | 21 | 17 | | 22 | 15 | | 23 | 17 | | 24 | 2 | | 25 | 10 | | 26 | 4 | | 27 | 7 | | 28 | 10 | | 29 | 19 | | 30 | 12 | | 31 | 9 | | 32 | 6 | | 33 | 16 | | 34 | 6 | | 35 | 20 | | 36 | 15 | | 37 | 11 | | 38 | 19 | | 39 | 10 | | 40 | 2 | | 41 | 21 | | 42 | 10 | | 43 | 9 | | 44 | 7 | | 45 | 14 | | 46 | 5 | | 47 | 6 | | 48 | 4 | | 49 | 9 |
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| 88.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.5333333333333333 | | totalSentences | 75 | | uniqueOpeners | 40 | |
| 61.73% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 54 | | matches | | 0 | "Slowly, she rose from the" |
| | ratio | 0.019 | |
| 79.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 19 | | totalSentences | 54 | | matches | | 0 | "She knew that knock." | | 1 | "Her mouth went dry." | | 2 | "She fumbled with the deadbolts," | | 3 | "His voice was low, almost" | | 4 | "She hated how breathy she" | | 5 | "She hesitated, then stepped aside," | | 6 | "His keen gaze took in" | | 7 | "she asked, closing the door" | | 8 | "His eyes flicked down to" | | 9 | "he said simply" | | 10 | "She shook her head, a" | | 11 | "she repeated slowly" | | 12 | "His hand brushed the small" | | 13 | "Her voice trailed off as" | | 14 | "His breath tickled the back" | | 15 | "She whirled around to face" | | 16 | "His mismatched eyes searched her" | | 17 | "she whispered, hating how small" | | 18 | "He silenced her with a" |
| | ratio | 0.352 | |
| 71.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 42 | | totalSentences | 54 | | matches | | 0 | "The knock at the door" | | 1 | "Aurora's heart skipped a beat." | | 2 | "She knew that knock." | | 3 | "There he stood, platinum hair" | | 4 | "Her mouth went dry." | | 5 | "She fumbled with the deadbolts," | | 6 | "Lucien's mismatched eyes met hers," | | 7 | "His voice was low, almost" | | 8 | "She hated how breathy she" | | 9 | "Aurora scoffed, folding her arms" | | 10 | "Lucien's expression remained infuriatingly calm," | | 11 | "She hesitated, then stepped aside," | | 12 | "His keen gaze took in" | | 13 | "Aurora watched as he removed" | | 14 | "she asked, closing the door" | | 15 | "Lucien turned to face her," | | 16 | "His eyes flicked down to" | | 17 | "Aurora stiffened, her fingers instinctively" | | 18 | "he said simply" | | 19 | "She shook her head, a" |
| | ratio | 0.778 | |
| 92.59% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 54 | | matches | | 0 | "Before she could respond, his" |
| | ratio | 0.019 | |
| 99.57% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 2 | | matches | | 0 | "This was Lucien Moreau, the impeccably dressed, silver-tongued fixer of London's supernatural underworld — a man who was known for his ruthless pragmatism and s…" | | 1 | "Lucien's mouth curved into a genuine smile, the kind that reached his eyes." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 28.79% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 6 | | fancyCount | 4 | | fancyTags | | 0 | "she repeated slowly (repeat)" | | 1 | "she whispered (whisper)" | | 2 | "he murmured (murmur)" | | 3 | "behind her ear he added softly (add)" |
| | dialogueSentences | 33 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0.667 | | effectiveRatio | 0.242 | |