| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 78.35% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1155 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slowly" | | 1 | "completely" | | 2 | "slightly" | | 3 | "softly" | | 4 | "perfectly" |
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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) | |
| 48.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1155 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "scanned" | | 1 | "traced" | | 2 | "glinting" | | 3 | "fractured" | | 4 | "weight" | | 5 | "predictable" | | 6 | "familiar" | | 7 | "silence" | | 8 | "flickered" | | 9 | "scanning" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "weight of words/silence" | | count | 1 |
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| | highlights | | 0 | "the weight of the silence" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 117 | | matches | | |
| 69.60% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 5 | | hedgeCount | 1 | | narrationSentences | 117 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 117 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1155 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 8 | | matches | | 0 | "Rory, he said." | | 1 | "You look different, he said." | | 2 | "I heard you moved to London, Julian said." | | 3 | "Evan, Julian said softly." | | 4 | "I just wanted to make sure you were safe, he said." | | 5 | "I have a job offer, Julian said." | | 6 | "If you ever need a friend, he said." | | 7 | "I have friends, Aurora said." |
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| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 61 | | wordCount | 1155 | | uniqueNames | 17 | | maxNameDensity | 1.21 | | worstName | "Julian" | | maxWindowNameDensity | 3 | | worstWindowName | "Julian" | | discoveredNames | | Raven | 2 | | Nest | 2 | | Soho | 1 | | Carter | 1 | | Cardiff | 4 | | Blackwood | 1 | | Prague | 1 | | Aurora | 10 | | Julian | 14 | | Pre-Law | 1 | | University | 1 | | Evan | 2 | | Silas | 7 | | London | 3 | | Rory | 3 | | Empress | 1 | | You | 7 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Carter" | | 3 | "Blackwood" | | 4 | "Aurora" | | 5 | "Julian" | | 6 | "Evan" | | 7 | "Silas" | | 8 | "Rory" | | 9 | "You" |
| | places | | 0 | "Soho" | | 1 | "Cardiff" | | 2 | "Prague" | | 3 | "University" | | 4 | "London" |
| | globalScore | 0.894 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like they had seen things they cou" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.866 | | wordCount | 1155 | | matches | | 0 | "not with anxiety, but with the practiced vigilance of someone who had learned to r" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 41 | | mean | 28.17 | | std | 24.87 | | cv | 0.883 | | sampleLengths | | 0 | 101 | | 1 | 80 | | 2 | 61 | | 3 | 71 | | 4 | 17 | | 5 | 35 | | 6 | 11 | | 7 | 30 | | 8 | 48 | | 9 | 5 | | 10 | 7 | | 11 | 59 | | 12 | 20 | | 13 | 10 | | 14 | 53 | | 15 | 4 | | 16 | 9 | | 17 | 1 | | 18 | 16 | | 19 | 24 | | 20 | 35 | | 21 | 11 | | 22 | 2 | | 23 | 59 | | 24 | 8 | | 25 | 3 | | 26 | 20 | | 27 | 32 | | 28 | 4 | | 29 | 6 | | 30 | 59 | | 31 | 15 | | 32 | 9 | | 33 | 13 | | 34 | 35 | | 35 | 8 | | 36 | 11 | | 37 | 52 | | 38 | 9 | | 39 | 42 | | 40 | 60 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 117 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 212 | | matches | | 0 | "was polishing" | | 1 | "was holding" | | 2 | "was still sitting" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 117 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1161 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 36 | | adverbRatio | 0.031007751937984496 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.0103359173126615 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 117 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 117 | | mean | 9.87 | | std | 6.95 | | cv | 0.704 | | sampleLengths | | 0 | 20 | | 1 | 21 | | 2 | 17 | | 3 | 18 | | 4 | 25 | | 5 | 17 | | 6 | 13 | | 7 | 15 | | 8 | 17 | | 9 | 18 | | 10 | 30 | | 11 | 17 | | 12 | 14 | | 13 | 11 | | 14 | 20 | | 15 | 3 | | 16 | 16 | | 17 | 21 | | 18 | 8 | | 19 | 9 | | 20 | 3 | | 21 | 9 | | 22 | 7 | | 23 | 16 | | 24 | 3 | | 25 | 8 | | 26 | 1 | | 27 | 5 | | 28 | 1 | | 29 | 23 | | 30 | 13 | | 31 | 12 | | 32 | 23 | | 33 | 5 | | 34 | 7 | | 35 | 16 | | 36 | 27 | | 37 | 16 | | 38 | 8 | | 39 | 4 | | 40 | 8 | | 41 | 4 | | 42 | 6 | | 43 | 7 | | 44 | 4 | | 45 | 5 | | 46 | 9 | | 47 | 3 | | 48 | 5 | | 49 | 20 |
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| 25.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 29 | | diversityRatio | 0.21367521367521367 | | totalSentences | 117 | | uniqueOpeners | 25 | |
| 30.58% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 109 | | matches | | | ratio | 0.009 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 72 | | totalSentences | 109 | | matches | | 0 | "She wore a dark jacket" | | 1 | "Her bright blue eyes scanned" | | 2 | "It was the only sound" | | 3 | "It was a souvenir from" | | 4 | "He was polishing a tumbler," | | 5 | "He didn't look up when" | | 6 | "He was older than the" | | 7 | "It was Julian." | | 8 | "They had been inseparable during" | | 9 | "He looked around the room," | | 10 | "He froze, a hand hovering" | | 11 | "She simply lifted her chin," | | 12 | "His voice was rough, unused" | | 13 | "She kept her tone level." | | 14 | "It was a habit she" | | 15 | "He slid into the booth" | | 16 | "He looked at her hands," | | 17 | "He looked at the way" | | 18 | "You look different, he said." | | 19 | "I look like I live" |
| | ratio | 0.661 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 103 | | totalSentences | 109 | | matches | | 0 | "The rain lashed against the" | | 1 | "Aurora Carter sat in the" | | 2 | "She wore a dark jacket" | | 3 | "Her bright blue eyes scanned" | | 4 | "The green neon sign above" | | 5 | "It was the only sound" | | 6 | "Aurora traced the rim of" | | 7 | "The small crescent-shaped scar on" | | 8 | "It was a souvenir from" | | 9 | "Silas Blackwood moved behind the" | | 10 | "He was polishing a tumbler," | | 11 | "He didn't look up when" | | 12 | "The man who stepped in" | | 13 | "He was older than the" | | 14 | "It was Julian." | | 15 | "They had been inseparable during" | | 16 | "He looked around the room," | | 17 | "The recognition hit him like" | | 18 | "He froze, a hand hovering" | | 19 | "Aurora didn't smile." |
| | ratio | 0.945 | |
| 45.87% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 109 | | matches | | | ratio | 0.009 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 5 | | matches | | 0 | "Inside, the air smelled of polished mahogany, stale tobacco, and the faint, metallic tang of old maps that lined the walls." | | 1 | "Her bright blue eyes scanned the room, not with anxiety, but with the practiced vigilance of someone who had learned to read exits before entrances." | | 2 | "Silas Blackwood moved behind the bar with a deliberate, quiet grace, though the slight limp in his left leg betrayed the old injury that had ended his career in…" | | 3 | "The older man watched them with hazel eyes that missed nothing, his beard neatly trimmed, his posture radiating a quiet authority that made the air feel heavier…" | | 4 | "He wore a grey suit that fit him perfectly, the silver ring on his finger catching the neon light." |
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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 | |