| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 1 | | adverbTags | | 0 | "Silas said softly [softly]" |
| | dialogueSentences | 32 | | tagDensity | 0.531 | | leniency | 1 | | rawRatio | 0.059 | | effectiveRatio | 0.059 | |
| 83.54% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1519 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "very" | | 2 | "really" | | 3 | "slowly" | | 4 | "softly" |
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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) | |
| 47.33% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1519 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "shimmered" | | 1 | "comforting" | | 2 | "rhythmic" | | 3 | "etched" | | 4 | "scanned" | | 5 | "familiar" | | 6 | "calculated" | | 7 | "oppressive" | | 8 | "silence" | | 9 | "charm" | | 10 | "weight" | | 11 | "flickered" | | 12 | "pulse" |
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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 | 85 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 85 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 100 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1509 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 22 | | unquotedAttributions | 0 | | matches | (empty) | |
| 65.56% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 1125 | | uniqueNames | 15 | | maxNameDensity | 1.69 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 19 | | Tuesday | 1 | | Soho | 2 | | Raven | 1 | | Nest | 3 | | Blackwood | 1 | | Silas | 12 | | Evan | 6 | | Cardiff | 2 | | London | 1 | | Spymaster | 1 | | Irish | 1 | | Wales | 1 | | Scotch | 2 | | Europe | 1 |
| | persons | | 0 | "Rory" | | 1 | "Raven" | | 2 | "Blackwood" | | 3 | "Silas" | | 4 | "Evan" |
| | places | | 0 | "Soho" | | 1 | "Cardiff" | | 2 | "London" | | 3 | "Wales" | | 4 | "Europe" |
| | globalScore | 0.656 | | windowScore | 0.833 | |
| 41.30% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like a damp wool blanket and the p" | | 1 | "looked like it cost more than Rory’s mont" | | 2 | "As if sensing her gaze, he turned" |
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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 | 1509 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 100 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 39 | | mean | 38.69 | | std | 22.68 | | cv | 0.586 | | sampleLengths | | 0 | 74 | | 1 | 67 | | 2 | 39 | | 3 | 51 | | 4 | 48 | | 5 | 11 | | 6 | 54 | | 7 | 35 | | 8 | 8 | | 9 | 1 | | 10 | 52 | | 11 | 57 | | 12 | 16 | | 13 | 37 | | 14 | 19 | | 15 | 43 | | 16 | 68 | | 17 | 19 | | 18 | 27 | | 19 | 45 | | 20 | 48 | | 21 | 20 | | 22 | 66 | | 23 | 36 | | 24 | 84 | | 25 | 66 | | 26 | 5 | | 27 | 4 | | 28 | 30 | | 29 | 32 | | 30 | 22 | | 31 | 17 | | 32 | 30 | | 33 | 45 | | 34 | 23 | | 35 | 56 | | 36 | 12 | | 37 | 50 | | 38 | 92 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 85 | | matches | | |
| 19.82% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 185 | | matches | | 0 | "wasn't looking" | | 1 | "was always listening" | | 2 | "was looking" | | 3 | "was running" | | 4 | "was just moving" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 100 | | ratio | 0.07 | | matches | | 0 | "He didn't look up immediately, but Rory saw his hand move—the silver signet ring on his right hand catching the light as he polished a highball glass with practiced, rhythmic precision." | | 1 | "It was a quiet crowd tonight—a few lonely suits, a couple whispering in the corner nook, and a man sitting alone at a small round table near the bookshelf that hid Silas's private office." | | 2 | "She felt the old, cold instinct to flee—the same one that had driven her from Cardiff to London under the cover of a rainy night three years ago." | | 3 | "Evan stepped closer, the smell of his expensive cologne—something woody and oppressive—clashing with the scent of rain and old wood." | | 4 | "It wasn't from him—it was from a fall out of a tree when she was seven—but she saw him look at it and see his own failures anyway." | | 5 | "Evan opened his mouth to speak—to apologize, to lie, to charm—but the words died in his throat." | | 6 | "She looked at her reflection in the mirror behind the bar—her bright blue eyes were clear, her black hair framed a face that no longer looked for an exit." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1143 | | adjectiveStacks | 1 | | stackExamples | | 0 | "dim, map-covered room," |
| | adverbCount | 37 | | adverbRatio | 0.03237095363079615 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.013123359580052493 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 100 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 100 | | mean | 15.09 | | std | 8.62 | | cv | 0.571 | | sampleLengths | | 0 | 18 | | 1 | 31 | | 2 | 25 | | 3 | 19 | | 4 | 17 | | 5 | 31 | | 6 | 21 | | 7 | 18 | | 8 | 14 | | 9 | 12 | | 10 | 17 | | 11 | 8 | | 12 | 7 | | 13 | 22 | | 14 | 19 | | 15 | 11 | | 16 | 20 | | 17 | 34 | | 18 | 13 | | 19 | 15 | | 20 | 7 | | 21 | 8 | | 22 | 1 | | 23 | 12 | | 24 | 3 | | 25 | 10 | | 26 | 16 | | 27 | 11 | | 28 | 3 | | 29 | 28 | | 30 | 12 | | 31 | 14 | | 32 | 3 | | 33 | 13 | | 34 | 21 | | 35 | 13 | | 36 | 3 | | 37 | 9 | | 38 | 10 | | 39 | 20 | | 40 | 23 | | 41 | 12 | | 42 | 10 | | 43 | 13 | | 44 | 5 | | 45 | 28 | | 46 | 2 | | 47 | 6 | | 48 | 11 | | 49 | 16 |
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| 44.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.27 | | totalSentences | 100 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 76 | | matches | | 0 | "It was a wet Tuesday" | | 1 | "He didn't look up immediately," | | 2 | "She leaned against the mahogany" | | 3 | "Her left wrist brushed the" | | 4 | "He walked toward the end" | | 5 | "He looked tired tonight, the" | | 6 | "It was a quiet crowd" | | 7 | "He wore a charcoal overcoat" | | 8 | "It was Evan." | | 9 | "He had aged, though not" | | 10 | "His hair was meticulously styled," | | 11 | "She felt the old, cold" | | 12 | "She wasn't that girl anymore," | | 13 | "Her voice was steady, a" | | 14 | "he said, standing up" | | 15 | "He moved toward her with" | | 16 | "She didn't invite him closer," | | 17 | "She felt Silas watching from" | | 18 | "He wasn't looking at them" | | 19 | "It was a small, satisfying" |
| | ratio | 0.566 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 76 | | matches | | 0 | "The neon green light of" | | 1 | "It was a wet Tuesday" | | 2 | "Rory pulled her jacket collar" | | 3 | "Silas Blackwood was behind the" | | 4 | "He didn't look up immediately," | | 5 | "Silas said, his voice a" | | 6 | "Rory said, shaking out her" | | 7 | "She leaned against the mahogany" | | 8 | "Her left wrist brushed the" | | 9 | "Silas grunted, a short sound" | | 10 | "He walked toward the end" | | 11 | "He looked tired tonight, the" | | 12 | "Rory scanned the room, her" | | 13 | "It was a quiet crowd" | | 14 | "The man was hunched over" | | 15 | "He wore a charcoal overcoat" | | 16 | "The air in Rory’s lungs" | | 17 | "The voice was familiar, yet" | | 18 | "It was Evan." | | 19 | "He had aged, though not" |
| | ratio | 0.921 | |
| 65.79% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 76 | | matches | | 0 | "As if sensing her gaze," |
| | ratio | 0.013 | |
| 87.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 4 | | matches | | 0 | "Rory scanned the room, her gaze drifting over the old maps and the framed black-and-white photographs that lined the walls." | | 1 | "It was a quiet crowd tonight—a few lonely suits, a couple whispering in the corner nook, and a man sitting alone at a small round table near the bookshelf that …" | | 2 | "She could picture her father, the Irish barrister with his booming voice and his expectations, sharing a drink with the man who had made her life a series of ca…" | | 3 | "The silence that followed was heavy, punctuated only by the clinking of ice and the distant roar of a bus on the street outside." |
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| 95.59% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 1 | | matches | | 0 | "he said, a ghost of a smile touching his beard" |
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| 56.25% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 16 | | fancyCount | 3 | | fancyTags | | 0 | "he muttered (mutter)" | | 1 | "he whispered (whisper)" | | 2 | "Rory agreed (agree)" |
| | dialogueSentences | 32 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.188 | | effectiveRatio | 0.188 | |