| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 49 | | tagDensity | 0.265 | | leniency | 0.531 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 85.80% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1056 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "loosely" | | 1 | "slightly" | | 2 | "slowly" |
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| 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) | |
| 47.92% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1056 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "silence" | | 1 | "perfect" | | 2 | "shattered" | | 3 | "gloom" | | 4 | "shimmered" | | 5 | "etched" | | 6 | "echoed" | | 7 | "weight" | | 8 | "vibrated" |
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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 | 96 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 96 | | 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 | 33 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1053 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 58.87% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 823 | | uniqueNames | 8 | | maxNameDensity | 1.82 | | worstName | "Quinn" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Quinn" | | discoveredNames | | Detective | 1 | | Harlow | 1 | | Quinn | 15 | | Victorian | 1 | | London | 1 | | Veil | 1 | | Compass | 1 | | Morris | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Morris" |
| | places | | 0 | "Detective" | | 1 | "Victorian" | | 2 | "London" |
| | globalScore | 0.589 | | windowScore | 0.833 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 57 | | glossingSentenceCount | 4 | | matches | | 0 | "felt like muscle memory, though the sit" | | 1 | "looked like heat haze rising from a highw" | | 2 | "sounded like it was speaking through wet c" | | 3 | "cloak that seemed to absorb the gloom" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.95 | | wordCount | 1053 | | matches | | 0 | "not to the wall, but directly at the space" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 132 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 67 | | mean | 15.72 | | std | 15.87 | | cv | 1.01 | | sampleLengths | | 0 | 1 | | 1 | 73 | | 2 | 5 | | 3 | 2 | | 4 | 48 | | 5 | 5 | | 6 | 38 | | 7 | 28 | | 8 | 28 | | 9 | 8 | | 10 | 43 | | 11 | 6 | | 12 | 38 | | 13 | 8 | | 14 | 44 | | 15 | 12 | | 16 | 1 | | 17 | 27 | | 18 | 5 | | 19 | 4 | | 20 | 37 | | 21 | 21 | | 22 | 17 | | 23 | 2 | | 24 | 20 | | 25 | 15 | | 26 | 11 | | 27 | 3 | | 28 | 34 | | 29 | 1 | | 30 | 1 | | 31 | 3 | | 32 | 37 | | 33 | 6 | | 34 | 1 | | 35 | 2 | | 36 | 2 | | 37 | 58 | | 38 | 8 | | 39 | 2 | | 40 | 3 | | 41 | 30 | | 42 | 8 | | 43 | 12 | | 44 | 8 | | 45 | 4 | | 46 | 2 | | 47 | 35 | | 48 | 8 | | 49 | 3 |
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| 97.95% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 96 | | matches | | 0 | "was abandoned" | | 1 | "were locked" |
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| 21.03% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 149 | | matches | | 0 | "was sitting" | | 1 | "was speaking" | | 2 | "was wearing" | | 3 | "was shaking" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 132 | | ratio | 0.008 | | matches | | 0 | "The air here tasted different—foul, like sulfur and old blood." |
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| 97.50% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 826 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.031476997578692496 | | lyAdverbCount | 19 | | lyAdverbRatio | 0.023002421307506054 | |
| 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 | 7.98 | | std | 5.71 | | cv | 0.716 | | sampleLengths | | 0 | 1 | | 1 | 14 | | 2 | 15 | | 3 | 14 | | 4 | 8 | | 5 | 22 | | 6 | 5 | | 7 | 2 | | 8 | 7 | | 9 | 9 | | 10 | 32 | | 11 | 5 | | 12 | 9 | | 13 | 18 | | 14 | 2 | | 15 | 9 | | 16 | 14 | | 17 | 14 | | 18 | 6 | | 19 | 17 | | 20 | 5 | | 21 | 8 | | 22 | 17 | | 23 | 4 | | 24 | 17 | | 25 | 5 | | 26 | 6 | | 27 | 5 | | 28 | 9 | | 29 | 5 | | 30 | 19 | | 31 | 8 | | 32 | 9 | | 33 | 12 | | 34 | 7 | | 35 | 16 | | 36 | 8 | | 37 | 4 | | 38 | 1 | | 39 | 6 | | 40 | 4 | | 41 | 12 | | 42 | 3 | | 43 | 2 | | 44 | 5 | | 45 | 4 | | 46 | 5 | | 47 | 18 | | 48 | 4 | | 49 | 10 |
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| 50.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.36363636363636365 | | totalSentences | 132 | | uniqueOpeners | 48 | |
| 78.43% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 85 | | matches | | 0 | "Instead of the smog-choked London" | | 1 | "Specifically, the handkerchief pressed into" |
| | ratio | 0.024 | |
| 88.24% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 28 | | totalSentences | 85 | | matches | | 0 | "She jammed the splintered end" | | 1 | "It rippled, like a curtain" | | 2 | "She stepped into the blackness." | | 3 | "She spoke the phrase, testing" | | 4 | "He looked windblown, his hair" | | 5 | "He kept his hands visible," | | 6 | "She reached the platform." | | 7 | "It was abandoned, the scaffolding" | | 8 | "It was sitting on the" | | 9 | "He looked peaceful." | | 10 | "Her movements were fluid, trained" | | 11 | "She approached the bench." | | 12 | "He stepped closer, likely to" | | 13 | "Her eyes were locked on" | | 14 | "His voice shook, but not" | | 15 | "It pointed not to the" | | 16 | "She racked the slide of" | | 17 | "It was wearing a dark" | | 18 | "It didn't walk so much" | | 19 | "It raised a hand, and" |
| | ratio | 0.329 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 80 | | totalSentences | 85 | | matches | | 0 | "The bone token in Detective" | | 1 | "The discarded femur felt ancient" | | 2 | "She jammed the splintered end" | | 3 | "The wall of rust and" | | 4 | "It rippled, like a curtain" | | 5 | "She stepped into the blackness." | | 6 | "She spoke the phrase, testing" | | 7 | "The street name didn't change," | | 8 | "The voice came from the" | | 9 | "A man in a beige" | | 10 | "He looked windblown, his hair" | | 11 | "Quinn said, tucking the bone" | | 12 | "O'Reilly asked, stepping closer" | | 13 | "He kept his hands visible," | | 14 | "Quinn walked past him, boots" | | 15 | "She reached the platform." | | 16 | "It was abandoned, the scaffolding" | | 17 | "Gooseflesh prickled on her arms." | | 18 | "O'Reilly held up the bag." | | 19 | "The silver was still warm." |
| | ratio | 0.941 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 85 | | matches | (empty) | | ratio | 0 | |
| 37.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 5 | | matches | | 0 | "It rippled, like a curtain drawn on a stage, dissipating into a thick, unnatural mist that smelled of ozone and wet pavement." | | 1 | "Instead of the smog-choked London sky above, the ceiling of the abandoned tube station stretched miles up, revealing a domed ceiling of cracked concrete and lea…" | | 2 | "Her movements were fluid, trained in drills that felt like muscle memory, though the situation had no protocol." | | 3 | "The empty space shimmered slightly, a distortion in the air that looked like heat haze rising from a highway." | | 4 | "The ground beneath her boots vibrated, a low hum that rattled her teeth." |
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| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 2 | | matches | | 0 | "O'Reilly asked, his voice tight" | | 1 | "Quinn said, her tone dropping an octave" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 1 | | fancyTags | | 0 | "O'Reilly whispered (whisper)" |
| | dialogueSentences | 49 | | tagDensity | 0.184 | | leniency | 0.367 | | rawRatio | 0.111 | | effectiveRatio | 0.041 | |