| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "Isolde said simply [simply]" |
| | dialogueSentences | 26 | | tagDensity | 0.462 | | leniency | 0.923 | | rawRatio | 0.083 | | effectiveRatio | 0.077 | |
| 91.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1183 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | 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 | 1183 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "mechanical" | | 1 | "pulse" | | 2 | "echo" | | 3 | "cascading" | | 4 | "scanning" | | 5 | "whisper" | | 6 | "chill" | | 7 | "stark" | | 8 | "warmth" | | 9 | "shimmered" | | 10 | "pulsed" | | 11 | "could feel" | | 12 | "resolved" | | 13 | "unreadable" | | 14 | "rhythmic" | | 15 | "chaotic" | | 16 | "silence" | | 17 | "magnetic" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 84 | | matches | (empty) | |
| 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 | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1180 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 63.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 923 | | uniqueNames | 17 | | maxNameDensity | 1.73 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | London | 2 | | Richmond | 1 | | Park | 1 | | Heartstone | 2 | | Pendant | 1 | | Varga | 1 | | Half-Fae | 2 | | Aurora | 16 | | Nyx | 7 | | Shade | 2 | | Fae-Forged | 1 | | Blade | 1 | | Veil | 2 | | Hel | 1 | | Fae | 5 | | Isolde | 8 |
| | persons | | 0 | "Carter" | | 1 | "Varga" | | 2 | "Half-Fae" | | 3 | "Aurora" | | 4 | "Nyx" | | 5 | "Shade" | | 6 | "Blade" | | 7 | "Fae" | | 8 | "Isolde" |
| | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" |
| | globalScore | 0.633 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | glossingSentenceCount | 1 | | matches | | 0 | "leaves that seemed to shift color with her breathing" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.847 | | wordCount | 1180 | | matches | | 0 | "not green, but shades of violet" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 97 | | matches | | |
| 68.55% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 28 | | mean | 42.14 | | std | 16.43 | | cv | 0.39 | | sampleLengths | | 0 | 77 | | 1 | 47 | | 2 | 67 | | 3 | 46 | | 4 | 29 | | 5 | 34 | | 6 | 66 | | 7 | 50 | | 8 | 49 | | 9 | 45 | | 10 | 52 | | 11 | 46 | | 12 | 33 | | 13 | 54 | | 14 | 22 | | 15 | 47 | | 16 | 57 | | 17 | 39 | | 18 | 31 | | 19 | 44 | | 20 | 35 | | 21 | 10 | | 22 | 41 | | 23 | 25 | | 24 | 42 | | 25 | 64 | | 26 | 4 | | 27 | 24 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 147 | | matches | | 0 | "were screaming" | | 1 | "wasn't coming" |
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| 54.49% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 97 | | ratio | 0.031 | | matches | | 0 | "Behind her, the city hummed—a distant, mechanical thrum of traffic and sirens that felt miles away." | | 1 | "She saw it then—a faint, shimmering distortion in the air, like heat haze on a summer road." | | 2 | "Aurora could see shapes moving behind it—indistinct, elongated figures." |
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| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 931 | | adjectiveStacks | 3 | | stackExamples | | 0 | "lay cold against her" | | 1 | "small crescent-shaped scar" | | 2 | "heavy, pressing against her" |
| | adverbCount | 28 | | adverbRatio | 0.03007518796992481 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.010741138560687433 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 12.16 | | std | 6.9 | | cv | 0.567 | | sampleLengths | | 0 | 4 | | 1 | 22 | | 2 | 22 | | 3 | 16 | | 4 | 13 | | 5 | 8 | | 6 | 9 | | 7 | 19 | | 8 | 11 | | 9 | 8 | | 10 | 9 | | 11 | 17 | | 12 | 15 | | 13 | 8 | | 14 | 10 | | 15 | 10 | | 16 | 4 | | 17 | 23 | | 18 | 9 | | 19 | 7 | | 20 | 15 | | 21 | 7 | | 22 | 10 | | 23 | 15 | | 24 | 9 | | 25 | 16 | | 26 | 24 | | 27 | 15 | | 28 | 11 | | 29 | 6 | | 30 | 5 | | 31 | 26 | | 32 | 13 | | 33 | 11 | | 34 | 10 | | 35 | 17 | | 36 | 11 | | 37 | 15 | | 38 | 30 | | 39 | 20 | | 40 | 24 | | 41 | 8 | | 42 | 3 | | 43 | 5 | | 44 | 14 | | 45 | 17 | | 46 | 2 | | 47 | 5 | | 48 | 9 | | 49 | 13 |
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| 42.78% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.28865979381443296 | | totalSentences | 97 | | uniqueOpeners | 28 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 80.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 80 | | matches | | 0 | "It wasn't a drop in" | | 1 | "She touched the silver chain" | | 2 | "It was only when she" | | 3 | "Her voice was soft, melodic," | | 4 | "She wore a gown of" | | 5 | "She glanced at Nyx." | | 6 | "She didn't walk so much" | | 7 | "It hummed with a low" | | 8 | "They moved deeper into the" | | 9 | "Their bark shimmered with a" | | 10 | "She watched a droplet of" | | 11 | "It seemed to hang in" | | 12 | "She squinted, focusing her will." | | 13 | "She saw it then—a faint," | | 14 | "It rippled, translucent and fragile." | | 15 | "She trusted her instincts, and" | | 16 | "She pointed toward the center" | | 17 | "It was warm now, a" | | 18 | "It wasn't the chaotic burn" | | 19 | "She realized then that the" |
| | ratio | 0.35 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 80 | | matches | | 0 | "The air changed first." | | 1 | "It wasn't a drop in" | | 2 | "Aurora Carter paused at the" | | 3 | "She touched the silver chain" | | 4 | "The Heartstone Pendant lay cold" | | 5 | "It was only when she" | | 6 | "A faint pulse, like a" | | 7 | "Isolde Varga said" | | 8 | "Her voice was soft, melodic," | | 9 | "The Half-Fae stood just inside" | | 10 | "She wore a gown of" | | 11 | "Isolde’s pale lavender eyes fixed" | | 12 | "Aurora nodded, her cool demeanor" | | 13 | "She glanced at Nyx." | | 14 | "The Shade hovered a few" | | 15 | "Nyx’s faintly glowing violet eyes" | | 16 | "The sound was like dry" | | 17 | "Isolde corrected, turning on her" | | 18 | "She didn't walk so much" | | 19 | "Aurora followed, her hand drifting" |
| | ratio | 0.925 | |
| 62.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 80 | | matches | | 0 | "To her, the world usually" |
| | ratio | 0.013 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 1 | | matches | | 0 | "She wore a gown of woven leaves that seemed to shift color with her breathing." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 4 | | matches | | 0 | "Aurora murmured, more to herself than the others" | | 1 | "Aurora asked, her voice steady" | | 2 | "Aurora said, her voice dropping to a command" | | 3 | "Nyx hissed, their voice dropping to a growl" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 4 | | fancyTags | | 0 | "Nyx whispered (whisper)" | | 1 | "Isolde corrected (correct)" | | 2 | "Aurora murmured (murmur)" | | 3 | "Nyx hissed (hiss)" |
| | dialogueSentences | 26 | | tagDensity | 0.423 | | leniency | 0.846 | | rawRatio | 0.364 | | effectiveRatio | 0.308 | |