| 12.50% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 3 | | adverbTags | | 0 | "The bitterness tasted like [like]" | | 1 | "he conceded quietly [quietly]" | | 2 | "he said softly [softly]" |
| | dialogueSentences | 30 | | tagDensity | 0.533 | | leniency | 1 | | rawRatio | 0.188 | | effectiveRatio | 0.188 | |
| 76.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1520 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "gently" | | 1 | "perfectly" | | 2 | "quickly" | | 3 | "slightly" | | 4 | "really" | | 5 | "suddenly" | | 6 | "softly" |
| |
| 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) | |
| 34.21% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1520 | | totalAiIsms | 20 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | word | "the last thing" | | count | 1 |
| | 7 | | | 8 | | | 9 | | word | "mask of indifference" | | count | 1 |
| | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "weight" | | 1 | "measured" | | 2 | "stomach" | | 3 | "glistening" | | 4 | "flicker" | | 5 | "resolve" | | 6 | "the last thing" | | 7 | "reminder" | | 8 | "shattered" | | 9 | "mask of indifference" | | 10 | "raced" | | 11 | "echo" | | 12 | "stark" | | 13 | "intensity" | | 14 | "whisper" | | 15 | "tracing" | | 16 | "flickered" | | 17 | "unreadable" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "hung in the air" | | count | 1 |
| | 2 | | label | "flicker of emotion" | | count | 1 |
|
| | highlights | | 0 | "blood went cold" | | 1 | "hung in the air" | | 2 | "a flicker of amusement" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 118 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 118 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1516 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 15 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 1277 | | uniqueNames | 14 | | maxNameDensity | 0.47 | | worstName | "Eva" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Eva" | | discoveredNames | | Brick | 2 | | Lane | 2 | | Eva | 6 | | Latin | 1 | | Rory | 6 | | Moreau | 1 | | Marseille | 1 | | Chronos | 1 | | Key | 1 | | Egypt | 1 | | Lucien | 4 | | Circle | 1 | | Thorns | 1 | | Ptolemy | 3 |
| | persons | | 0 | "Eva" | | 1 | "Rory" | | 2 | "Moreau" | | 3 | "Lucien" | | 4 | "Ptolemy" |
| | places | | 0 | "Brick" | | 1 | "Lane" | | 2 | "Marseille" | | 3 | "Egypt" |
| | globalScore | 1 | | windowScore | 1 | |
| 90.48% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 2 | | matches | | 0 | "quite a smile" | | 1 | "tasted like acid on her tongue" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.66 | | wordCount | 1516 | | matches | | 0 | "not impatience, but resolve" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 132 | | matches | | 0 | "offered that ghost" | | 1 | "Hated that he" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 37.9 | | std | 22.28 | | cv | 0.588 | | sampleLengths | | 0 | 85 | | 1 | 19 | | 2 | 60 | | 3 | 69 | | 4 | 4 | | 5 | 57 | | 6 | 81 | | 7 | 45 | | 8 | 21 | | 9 | 21 | | 10 | 55 | | 11 | 7 | | 12 | 26 | | 13 | 24 | | 14 | 73 | | 15 | 14 | | 16 | 36 | | 17 | 20 | | 18 | 40 | | 19 | 15 | | 20 | 35 | | 21 | 21 | | 22 | 75 | | 23 | 56 | | 24 | 7 | | 25 | 42 | | 26 | 40 | | 27 | 38 | | 28 | 25 | | 29 | 12 | | 30 | 61 | | 31 | 29 | | 32 | 70 | | 33 | 18 | | 34 | 57 | | 35 | 23 | | 36 | 46 | | 37 | 37 | | 38 | 6 | | 39 | 46 |
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| 96.34% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 118 | | matches | | 0 | "was slicked" | | 1 | "were fixed" | | 2 | "was stashed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 185 | | matches | | 0 | "was trying" | | 1 | "was putting" |
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| 77.92% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 132 | | ratio | 0.023 | | matches | | 0 | "It wasn’t Eva’s knock—a frantic, impatient volley—but three distinct, measured raps against the heavy wood of the flat’s door." | | 1 | "Eva had brought it back from a dig in Egypt a month ago—a strange, gear-like object that hummed with a low energy." | | 2 | "She looked at him, really looked at him—at the stark lines of his face, the quiet intensity in his gaze, the way he stood as if he were the only solid thing in a dissolving world." |
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| 83.40% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1287 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small, crescent-shaped scar" | | 1 | "cramped, book-choked confines" |
| | adverbCount | 58 | | adverbRatio | 0.045066045066045064 | | lyAdverbCount | 26 | | lyAdverbRatio | 0.020202020202020204 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 11.48 | | std | 7.26 | | cv | 0.632 | | sampleLengths | | 0 | 24 | | 1 | 5 | | 2 | 21 | | 3 | 15 | | 4 | 20 | | 5 | 19 | | 6 | 10 | | 7 | 3 | | 8 | 5 | | 9 | 5 | | 10 | 18 | | 11 | 14 | | 12 | 5 | | 13 | 10 | | 14 | 13 | | 15 | 6 | | 16 | 11 | | 17 | 3 | | 18 | 13 | | 19 | 13 | | 20 | 4 | | 21 | 6 | | 22 | 23 | | 23 | 16 | | 24 | 12 | | 25 | 5 | | 26 | 6 | | 27 | 21 | | 28 | 16 | | 29 | 3 | | 30 | 7 | | 31 | 6 | | 32 | 17 | | 33 | 3 | | 34 | 19 | | 35 | 23 | | 36 | 16 | | 37 | 5 | | 38 | 12 | | 39 | 9 | | 40 | 14 | | 41 | 24 | | 42 | 5 | | 43 | 12 | | 44 | 3 | | 45 | 4 | | 46 | 11 | | 47 | 3 | | 48 | 4 | | 49 | 8 |
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| 45.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.3333333333333333 | | totalSentences | 132 | | uniqueOpeners | 44 | |
| 57.97% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 115 | | matches | | 0 | "Of course he knew." | | 1 | "Instead, she focused on the" |
| | ratio | 0.017 | |
| 18.26% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 58 | | totalSentences | 115 | | matches | | 0 | "She sat cross-legged on the" | | 1 | "She was trying to decipher" | | 2 | "It wasn’t Eva’s knock—a frantic," | | 3 | "She gently nudged the cat" | | 4 | "She peered through the peephole," | | 5 | "Her hand went to the" | | 6 | "She slid the first bolt" | | 7 | "She drew a breath and" | | 8 | "His platinum blond hair was" | | 9 | "He leaned casually on an" | | 10 | "He looked exactly the same." | | 11 | "He hadn’t aged a day" | | 12 | "They were fixed on her," | | 13 | "His voice was a low" | | 14 | "It was the voice that" | | 15 | "She kept her own voice" | | 16 | "He offered that ghost of" | | 17 | "Her immediate, visceral instinct was" | | 18 | "Her fingers were numb where" | | 19 | "His smile didn’t falter, but" |
| | ratio | 0.504 | |
| 33.91% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 115 | | matches | | 0 | "The scent of turmeric and" | | 1 | "Rory barely noticed it anymore." | | 2 | "She sat cross-legged on the" | | 3 | "Ptolemy, a marmalade cannonball of" | | 4 | "She was trying to decipher" | | 5 | "It wasn’t Eva’s knock—a frantic," | | 6 | "Ptolemy’s purr cut off with" | | 7 | "Rory’s shoulders tensed." | | 8 | "She gently nudged the cat" | | 9 | "She peered through the peephole," | | 10 | "Nothing but a distorted silhouette." | | 11 | "Her hand went to the" | | 12 | "A legacy of Eva’s paranoia," | | 13 | "She slid the first bolt" | | 14 | "The heavy chunk of metal" | | 15 | "The second followed." | | 16 | "She drew a breath and" | | 17 | "Lucien Moreau stood on the" | | 18 | "Rain beaded on the shoulders" | | 19 | "His platinum blond hair was" |
| | ratio | 0.852 | |
| 86.96% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 115 | | matches | | 0 | "To shoot all three bolts" | | 1 | "To her door." |
| | ratio | 0.017 | |
| 67.67% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 6 | | matches | | 0 | "The same sharp cheekbones, the same wry curl to his lips that wasn’t quite a smile." | | 1 | "It was the voice that had once whispered promises against her skin, and her heart gave a painful, rebellious kick against her ribs." | | 2 | "A cabal of necromancers and blood mages who collected powerful artifacts, leaving a trail of bodies in their wake." | | 3 | "She looked at him, really looked at him—at the stark lines of his face, the quiet intensity in his gaze, the way he stood as if he were the only solid thing in …" | | 4 | "Lucien moved across the threshold with a fluid, silent grace that was almost predatory." | | 5 | "Ptolemy, who had been watching from his perch on a stack of encyclopedias, let out a low, guttural hiss." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 4 | | matches | | 0 | "She kept, a wall of ice she frantically tried to erect" | | 1 | "he said, his voice dropping lower, more serious" | | 2 | "He leaned, his voice a murmur meant only for her" | | 3 | "she said, her voice barely a whisper" |
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| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 3 | | fancyTags | | 0 | "she snapped (snap)" | | 1 | "he conceded quietly (concede)" | | 2 | "she repeated (repeat)" |
| | dialogueSentences | 30 | | tagDensity | 0.3 | | leniency | 0.6 | | rawRatio | 0.333 | | effectiveRatio | 0.2 | |