| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 92.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 665 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | 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 | 665 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "scanned" | | 1 | "flicker" | | 2 | "familiar" | | 3 | "weight" | | 4 | "warmth" | | 5 | "could feel" | | 6 | "traced" | | 7 | "silence" | | 8 | "flicked" | | 9 | "etched" | | 10 | "trembled" | | 11 | "echo" |
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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 | 118 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 118 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 118 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 665 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 17 | | wordCount | 665 | | uniqueNames | 8 | | maxNameDensity | 0.75 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Prague" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Cardiff | 1 | | England | 1 | | Europe | 1 | | Prague | 3 | | Aurora | 5 | | You | 4 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Aurora" | | 3 | "You" |
| | places | | 0 | "Cardiff" | | 1 | "England" | | 2 | "Europe" | | 3 | "Prague" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 53 | | glossingSentenceCount | 1 | | matches | | 0 | "as if recalling the moment she vanished" |
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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 | 665 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 58 | | mean | 11.47 | | std | 11.18 | | cv | 0.975 | | sampleLengths | | 0 | 41 | | 1 | 62 | | 2 | 3 | | 3 | 41 | | 4 | 6 | | 5 | 14 | | 6 | 31 | | 7 | 9 | | 8 | 1 | | 9 | 12 | | 10 | 3 | | 11 | 19 | | 12 | 11 | | 13 | 5 | | 14 | 2 | | 15 | 11 | | 16 | 2 | | 17 | 10 | | 18 | 5 | | 19 | 28 | | 20 | 4 | | 21 | 3 | | 22 | 10 | | 23 | 7 | | 24 | 18 | | 25 | 3 | | 26 | 8 | | 27 | 3 | | 28 | 17 | | 29 | 5 | | 30 | 12 | | 31 | 1 | | 32 | 16 | | 33 | 2 | | 34 | 12 | | 35 | 2 | | 36 | 20 | | 37 | 3 | | 38 | 21 | | 39 | 2 | | 40 | 8 | | 41 | 5 | | 42 | 12 | | 43 | 6 | | 44 | 18 | | 45 | 4 | | 46 | 13 | | 47 | 14 | | 48 | 1 | | 49 | 14 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 118 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 127 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 118 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 665 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.03308270676691729 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0030075187969924814 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 118 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 118 | | mean | 5.64 | | std | 3.31 | | cv | 0.587 | | sampleLengths | | 0 | 10 | | 1 | 10 | | 2 | 7 | | 3 | 14 | | 4 | 7 | | 5 | 17 | | 6 | 9 | | 7 | 5 | | 8 | 10 | | 9 | 6 | | 10 | 8 | | 11 | 3 | | 12 | 8 | | 13 | 12 | | 14 | 21 | | 15 | 4 | | 16 | 2 | | 17 | 6 | | 18 | 2 | | 19 | 6 | | 20 | 5 | | 21 | 4 | | 22 | 7 | | 23 | 15 | | 24 | 7 | | 25 | 2 | | 26 | 1 | | 27 | 3 | | 28 | 3 | | 29 | 6 | | 30 | 3 | | 31 | 8 | | 32 | 5 | | 33 | 6 | | 34 | 4 | | 35 | 7 | | 36 | 5 | | 37 | 2 | | 38 | 5 | | 39 | 6 | | 40 | 2 | | 41 | 5 | | 42 | 5 | | 43 | 5 | | 44 | 6 | | 45 | 3 | | 46 | 7 | | 47 | 12 | | 48 | 4 | | 49 | 3 |
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| 80.51% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.4830508474576271 | | totalSentences | 118 | | uniqueOpeners | 57 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 100 | | matches | | 0 | "Just the weight of his" | | 1 | "Just the offer of something" | | 2 | "Only half empty." | | 3 | "Maybe too low." | | 4 | "Then opened them." | | 5 | "Just the echo of what" | | 6 | "Then she stepped out into" |
| | ratio | 0.07 | |
| 40.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 45 | | totalSentences | 100 | | matches | | 0 | "She slid off her jacket," | | 1 | "Her eyes scanned the bar." | | 2 | "His hazel eyes locked on" | | 3 | "He froze mid‐pour, then set" | | 4 | "He came closer, that faint" | | 5 | "She raised her palm." | | 6 | "He stopped a few feet" | | 7 | "She pressed her palm to" | | 8 | "He rested an elbow on" | | 9 | "Her throat narrowed." | | 10 | "She nodded once." | | 11 | "I’ve missed you." | | 12 | "He slid a dark glass" | | 13 | "He tapped the glass twice." | | 14 | "She pressed her lips together." | | 15 | "I heard you left Cardiff." | | 16 | "Her gaze flicked to the" | | 17 | "He always studied geography like" | | 18 | "She rested a finger on" | | 19 | "He watched her hand." |
| | ratio | 0.45 | |
| 75.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 77 | | totalSentences | 100 | | matches | | 0 | "The Raven’s Nest smelled of" | | 1 | "Photographs in battered frames crowded" | | 2 | "Maps pinned to cork gave" | | 3 | "Aurora stepped around a cluster" | | 4 | "She slid off her jacket," | | 5 | "Her eyes scanned the bar." | | 6 | "His hazel eyes locked on" | | 7 | "A flicker of memory burned" | | 8 | "Aurora’s breath caught." | | 9 | "He froze mid‐pour, then set" | | 10 | "Each step sounded on worn" | | 11 | "He came closer, that faint" | | 12 | "She raised her palm." | | 13 | "He stopped a few feet" | | 14 | "Aurora eased onto a stool." | | 15 | "Jacket bumping the seat." | | 16 | "The bar’s warmth pressed against" | | 17 | "She pressed her palm to" | | 18 | "He rested an elbow on" | | 19 | "Her throat narrowed." |
| | ratio | 0.77 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 100 | | matches | (empty) | | ratio | 0 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 13 | | technicalSentenceCount | 1 | | matches | | 0 | "He closed his eyes, as if recalling the moment she vanished." |
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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 | |