| 62.07% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 27 | | adverbTagCount | 4 | | adverbTags | | 0 | "He spoke slowly [slowly]" | | 1 | "She hesitated then [then]" | | 2 | "He paused then [then]" | | 3 | "he said quietly [quietly]" |
| | dialogueSentences | 58 | | tagDensity | 0.466 | | leniency | 0.931 | | rawRatio | 0.148 | | effectiveRatio | 0.138 | |
| 89.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1460 | | totalAiIsmAdverbs | 3 | | found | | 0 | | adverb | "barely above a whisper" | | count | 1 |
| | 1 | | | 2 | |
| | highlights | | 0 | "barely above a whisper" | | 1 | "slowly" | | 2 | "lightly" |
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| 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) | |
| 24.66% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1460 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "comforting" | | 1 | "solitary" | | 2 | "sentinels" | | 3 | "could feel" | | 4 | "glinting" | | 5 | "whisper" | | 6 | "familiar" | | 7 | "tracing" | | 8 | "weight" | | 9 | "measured" | | 10 | "warmth" | | 11 | "traced" | | 12 | "trembled" | | 13 | "silence" | | 14 | "wavering" | | 15 | "reminder" |
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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 | 112 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 112 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 142 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 42 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1448 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 1 | | matches | | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 25 | | wordCount | 1034 | | uniqueNames | 12 | | maxNameDensity | 0.68 | | worstName | "Silas" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | Carter | 1 | | Raven | 1 | | Nest | 1 | | Cardiff | 2 | | Silas | 7 | | London | 2 | | Blackwood | 1 | | Aegean | 1 | | Sea | 1 | | Baltic | 1 | | Aurora | 4 | | Three | 3 |
| | persons | | 0 | "Carter" | | 1 | "Raven" | | 2 | "Silas" | | 3 | "Blackwood" | | 4 | "Aurora" |
| | places | | 0 | "Cardiff" | | 1 | "London" | | 2 | "Baltic" |
| | globalScore | 1 | | windowScore | 1 | |
| 89.76% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 83 | | glossingSentenceCount | 2 | | matches | | 0 | "as if sorting out his own surprise" | | 1 | "as though brushing off a shadow" |
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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 | 1448 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 142 | | matches | | 0 | "crossed that threshold" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 45 | | mean | 32.18 | | std | 18.51 | | cv | 0.575 | | sampleLengths | | 0 | 63 | | 1 | 70 | | 2 | 53 | | 3 | 1 | | 4 | 37 | | 5 | 69 | | 6 | 35 | | 7 | 22 | | 8 | 33 | | 9 | 7 | | 10 | 48 | | 11 | 30 | | 12 | 25 | | 13 | 44 | | 14 | 30 | | 15 | 34 | | 16 | 39 | | 17 | 12 | | 18 | 46 | | 19 | 13 | | 20 | 44 | | 21 | 40 | | 22 | 13 | | 23 | 17 | | 24 | 28 | | 25 | 20 | | 26 | 34 | | 27 | 15 | | 28 | 23 | | 29 | 38 | | 30 | 62 | | 31 | 14 | | 32 | 10 | | 33 | 18 | | 34 | 61 | | 35 | 6 | | 36 | 60 | | 37 | 63 | | 38 | 11 | | 39 | 42 | | 40 | 30 | | 41 | 40 | | 42 | 8 | | 43 | 22 | | 44 | 18 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 191 | | matches | (empty) | |
| 22.13% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 1 | | flaggedSentences | 6 | | totalSentences | 142 | | ratio | 0.042 | | matches | | 0 | "The air inside smelled of old oak and bittersweet whiskey—comforting, somehow, despite the miles she’d put between herself and this place." | | 1 | "Maps in sepia tones hung along the walls, their edges curling; black-and-white photographs of strangers in trench coats and fedoras stared back at her." | | 2 | "The voice was low, calm—more surprise than accusation." | | 3 | "Her scar—a small, crescent-shaped blemish on her left wrist—tightened with the old familiar ache of guilt." | | 4 | "He nodded, though she couldn’t see exactly how—just the faint lift of his shoulder." | | 5 | "Then she met Silas’s gaze and saw something she hadn’t dared hope for—patience, welcome." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 693 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped blemish" |
| | adverbCount | 19 | | adverbRatio | 0.027417027417027416 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.002886002886002886 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 142 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 142 | | mean | 10.2 | | std | 6.89 | | cv | 0.676 | | sampleLengths | | 0 | 22 | | 1 | 21 | | 2 | 20 | | 3 | 10 | | 4 | 24 | | 5 | 20 | | 6 | 8 | | 7 | 8 | | 8 | 11 | | 9 | 12 | | 10 | 6 | | 11 | 6 | | 12 | 18 | | 13 | 1 | | 14 | 8 | | 15 | 2 | | 16 | 2 | | 17 | 16 | | 18 | 9 | | 19 | 12 | | 20 | 18 | | 21 | 7 | | 22 | 15 | | 23 | 17 | | 24 | 8 | | 25 | 16 | | 26 | 11 | | 27 | 3 | | 28 | 7 | | 29 | 12 | | 30 | 3 | | 31 | 16 | | 32 | 11 | | 33 | 3 | | 34 | 4 | | 35 | 3 | | 36 | 5 | | 37 | 11 | | 38 | 20 | | 39 | 12 | | 40 | 10 | | 41 | 4 | | 42 | 14 | | 43 | 2 | | 44 | 8 | | 45 | 16 | | 46 | 1 | | 47 | 11 | | 48 | 16 | | 49 | 12 |
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| 44.84% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.3028169014084507 | | totalSentences | 142 | | uniqueOpeners | 43 | |
| 66.01% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 101 | | matches | | 0 | "Finally, he spoke." | | 1 | "Then she met Silas’s gaze" |
| | ratio | 0.02 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 65 | | totalSentences | 101 | | matches | | 0 | "She tugged her coat tighter" | | 1 | "She’d loved this place once," | | 2 | "She moved toward the bar," | | 3 | "She hesitated, fingertips brushing the" | | 4 | "She exhaled, a small breath" | | 5 | "He stood behind the bar:" | | 6 | "His left leg bore a" | | 7 | "He wore his silver signet" | | 8 | "she said, voice barely above" | | 9 | "Her scar—a small, crescent-shaped blemish" | | 10 | "She dropped her gaze, tracing" | | 11 | "He stepped forward." | | 12 | "His tone was careful, measured" | | 13 | "She pushed a stray lock" | | 14 | "He tilted his head." | | 15 | "She slid onto the stool," | | 16 | "She clasped her hands in" | | 17 | "He poured two" | | 18 | "She accepted it, warmth blooming" | | 19 | "She raised the glass to" |
| | ratio | 0.644 | |
| 4.55% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 101 | | matches | | 0 | "Aurora Carter paused beneath the" | | 1 | "The air inside smelled of" | | 2 | "She tugged her coat tighter" | | 3 | "The bar’s low ceiling pressed" | | 4 | "Maps in sepia tones hung" | | 5 | "She’d loved this place once," | | 6 | "She moved toward the bar," | | 7 | "A solitary lamp cast a" | | 8 | "The stool nearest the tap" | | 9 | "She hesitated, fingertips brushing the" | | 10 | "The voice was low, calm—more" | | 11 | "She exhaled, a small breath" | | 12 | "He stood behind the bar:" | | 13 | "A neatly trimmed beard framed" | | 14 | "His left leg bore a" | | 15 | "He wore his silver signet" | | 16 | "she said, voice barely above" | | 17 | "Her scar—a small, crescent-shaped blemish" | | 18 | "She dropped her gaze, tracing" | | 19 | "He stepped forward." |
| | ratio | 0.911 | |
| 49.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 101 | | matches | | | ratio | 0.01 | |
| 93.02% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 3 | | matches | | 0 | "She hesitated, fingertips brushing the edge of the bar as if she could feel the years sliding apart." | | 1 | "He regarded her for a moment longer, his gaze tracing the scar’s curve as if he’d memorized it." | | 2 | "Aurora touched it lightly, recalling childhood afternoons when she’d fished skates with her brothers on the Cardiff coast, that scar the only souvenir." |
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| 13.89% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 27 | | uselessAdditionCount | 6 | | matches | | 0 | "she said, voice barely above a whisper" | | 1 | "She stared, eyes bright blue in the dim light" | | 2 | "He spoke slowly, as if sorting out his own surprise" | | 3 | "He shook, as though brushing off a shadow" | | 4 | "he said, voice softening" | | 5 | "she began, voice hushed" |
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| 98.28% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 3 | | fancyTags | | 0 | "she murmured (murmur)" | | 1 | "He spoke slowly (speak)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 58 | | tagDensity | 0.172 | | leniency | 0.345 | | rawRatio | 0.3 | | effectiveRatio | 0.103 | |