| 84.62% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 3 | | adverbTags | | 0 | "The name felt like [like]" | | 1 | "Rory said softly [softly]" | | 2 | "He looked around [around]" |
| | dialogueSentences | 44 | | tagDensity | 0.591 | | leniency | 1 | | rawRatio | 0.115 | | effectiveRatio | 0.115 | |
| 90.73% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1618 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "suddenly" | | 1 | "softly" | | 2 | "really" |
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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) | |
| 56.74% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1618 | | totalAiIsms | 14 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "reminder" | | 2 | "tracing" | | 3 | "profound" | | 4 | "stark" | | 5 | "furrowing" | | 6 | "familiar" | | 7 | "silence" | | 8 | "tension" | | 9 | "chill" | | 10 | "weight" | | 11 | "unspoken" |
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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 | 1 | | narrationSentences | 84 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 84 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 106 | | 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 | 1604 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 21 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 52 | | wordCount | 1088 | | uniqueNames | 19 | | maxNameDensity | 0.92 | | worstName | "Silas" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 1 | | Nest | 2 | | Soho | 2 | | Carter | 2 | | London | 1 | | Golden | 2 | | Empress | 2 | | Yu-Fei | 1 | | Blackwood | 1 | | Wales | 2 | | Cardiff | 3 | | Aurora | 4 | | Severn | 1 | | Bridge | 1 | | Spymaster | 1 | | Evan | 8 | | Silas | 10 | | Rory | 7 | | Eva | 1 |
| | persons | | 0 | "Raven" | | 1 | "Carter" | | 2 | "Empress" | | 3 | "Yu-Fei" | | 4 | "Blackwood" | | 5 | "Aurora" | | 6 | "Spymaster" | | 7 | "Evan" | | 8 | "Silas" | | 9 | "Rory" | | 10 | "Eva" |
| | places | | 0 | "Nest" | | 1 | "Soho" | | 2 | "London" | | 3 | "Golden" | | 4 | "Wales" | | 5 | "Cardiff" | | 6 | "Severn" | | 7 | "Bridge" |
| | globalScore | 1 | | windowScore | 0.833 | |
| 75.37% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 67 | | glossingSentenceCount | 2 | | matches | | 0 | "felt like a piece of glass in her throa" | | 1 | "looked like physical pain" |
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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 | 1604 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 106 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 37.3 | | std | 25.64 | | cv | 0.687 | | sampleLengths | | 0 | 98 | | 1 | 111 | | 2 | 10 | | 3 | 29 | | 4 | 74 | | 5 | 27 | | 6 | 12 | | 7 | 21 | | 8 | 46 | | 9 | 47 | | 10 | 19 | | 11 | 57 | | 12 | 6 | | 13 | 58 | | 14 | 61 | | 15 | 56 | | 16 | 32 | | 17 | 31 | | 18 | 20 | | 19 | 13 | | 20 | 19 | | 21 | 57 | | 22 | 9 | | 23 | 59 | | 24 | 18 | | 25 | 43 | | 26 | 55 | | 27 | 22 | | 28 | 12 | | 29 | 81 | | 30 | 47 | | 31 | 6 | | 32 | 20 | | 33 | 74 | | 34 | 5 | | 35 | 14 | | 36 | 60 | | 37 | 40 | | 38 | 35 | | 39 | 6 | | 40 | 17 | | 41 | 32 | | 42 | 45 |
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| 96.91% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 84 | | matches | | 0 | "was draped" | | 1 | "was forged" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 192 | | matches | | 0 | "was tracing" | | 1 | "was starting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 2 | | flaggedSentences | 10 | | totalSentences | 106 | | ratio | 0.094 | | matches | | 0 | "But the pull of the flat above the bar—and the promise of a quiet corner away from the city’s roar—was too strong to resist." | | 1 | "He used the name her father had called her—the middle name she’d discarded the moment she crossed the Severn Bridge." | | 2 | "The Spymaster didn't move, but the atmosphere behind the bar shifted; the air grew suddenly heavy, expectant." | | 3 | "There wasn't malice in his voice—not yet—just a crushing, condescending pity that hurt worse than anger." | | 4 | "The question was polite, but his stature—six-foot-one of hard-won experience—demanded an answer." | | 5 | "Evan looked at her, really looked at her, and saw the straight, shoulder-length black hair she’d cut herself, the tired lines around her bright blue eyes, and the way she stood—shoulders back, no longer shrinking into herself." | | 6 | "\"No,\" she said, leaning forward until she could smell the expensive cologne he wore—the same one he’d worn the night he’d cornered her in the kitchen in Cardiff, shouting about a text message from Eva." | | 7 | "The weight of the unspoken regret—the apologies he’d practiced and the demands he’d prepared—seemed to collapse under the weight of her indifference." | | 8 | "He hadn't expected her to be happy, exactly; he’d expected her to be broken." | | 9 | "For a second, Rory saw the boy he’d been when they were twenty—the one who’d helped her carry her books through the rain." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 883 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.022650056625141562 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.0056625141562853904 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 106 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 106 | | mean | 15.13 | | std | 9.14 | | cv | 0.604 | | sampleLengths | | 0 | 24 | | 1 | 17 | | 2 | 4 | | 3 | 29 | | 4 | 24 | | 5 | 3 | | 6 | 23 | | 7 | 19 | | 8 | 31 | | 9 | 20 | | 10 | 15 | | 11 | 10 | | 12 | 29 | | 13 | 30 | | 14 | 8 | | 15 | 16 | | 16 | 20 | | 17 | 2 | | 18 | 25 | | 19 | 12 | | 20 | 3 | | 21 | 17 | | 22 | 1 | | 23 | 20 | | 24 | 12 | | 25 | 14 | | 26 | 11 | | 27 | 19 | | 28 | 17 | | 29 | 11 | | 30 | 8 | | 31 | 24 | | 32 | 33 | | 33 | 6 | | 34 | 2 | | 35 | 19 | | 36 | 37 | | 37 | 17 | | 38 | 15 | | 39 | 29 | | 40 | 17 | | 41 | 16 | | 42 | 23 | | 43 | 4 | | 44 | 28 | | 45 | 15 | | 46 | 3 | | 47 | 13 | | 48 | 8 | | 49 | 12 |
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| 43.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 12 | | diversityRatio | 0.330188679245283 | | totalSentences | 106 | | uniqueOpeners | 35 | |
| 91.32% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 73 | | matches | | 0 | "Then he stepped out into" | | 1 | "Then, she pulled her hand" |
| | ratio | 0.027 | |
| 39.18% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 33 | | totalSentences | 73 | | matches | | 0 | "She shouldn't have stopped." | | 1 | "Her shift at the Golden" | | 2 | "She pushed inside." | | 3 | "He moved with a practiced," | | 4 | "He looked up, his hazel" | | 5 | "he asked, his voice a" | | 6 | "she said, sliding onto a" | | 7 | "She was tracing the crescent-shaped" | | 8 | "He was draped in a" | | 9 | "He looked out of place" | | 10 | "He used the name her" | | 11 | "He stepped toward her, his" | | 12 | "she said, her voice steadier" | | 13 | "He stopped a few feet" | | 14 | "He looked around the bar," | | 15 | "She looked down at her" | | 16 | "Her nails were short, unpolished," | | 17 | "he said, his eyes falling" | | 18 | "He didn't leave." | | 19 | "He began wiping the bar" |
| | ratio | 0.452 | |
| 1.10% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 73 | | matches | | 0 | "The neon green glow of" | | 1 | "Aurora Carter adjusted the strap" | | 2 | "She shouldn't have stopped." | | 3 | "Her shift at the Golden" | | 4 | "She pushed inside." | | 5 | "The air in the Nest" | | 6 | "Silas Blackwood was behind the" | | 7 | "He moved with a practiced," | | 8 | "He looked up, his hazel" | | 9 | "The silver signet ring he" | | 10 | "he asked, his voice a" | | 11 | "she said, sliding onto a" | | 12 | "She was tracing the crescent-shaped" | | 13 | "A man stumbled in, shaking" | | 14 | "He was draped in a" | | 15 | "He looked out of place" | | 16 | "The profile was sharper now," | | 17 | "The name felt like a" | | 18 | "The man turned." | | 19 | "The irritation on his face" |
| | ratio | 0.918 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 73 | | matches | (empty) | | ratio | 0 | |
| 93.02% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 3 | | matches | | 0 | "She was tracing the crescent-shaped scar on her left wrist, a nervous habit that had returned in force since she’d fled Cardiff, when the door chimes gave a fra…" | | 1 | "He stopped a few feet away, his hands hovering mid-air as if he wanted to reach out but feared she might vanish if touched." | | 2 | "There wasn't malice in his voice—not yet—just a crushing, condescending pity that hurt worse than anger." |
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| 86.54% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 2 | | matches | | 0 | "he asked, his voice a low gravel" | | 1 | "she said, her voice steadier than she felt" |
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| 81.82% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 17 | | fancyCount | 3 | | fancyTags | | 0 | "he whispered (whisper)" | | 1 | "he muttered (mutter)" | | 2 | "Rory whispered (whisper)" |
| | dialogueSentences | 44 | | tagDensity | 0.386 | | leniency | 0.773 | | rawRatio | 0.176 | | effectiveRatio | 0.136 | |