| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 28 | | tagDensity | 0.464 | | leniency | 0.929 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.98% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1247 | | 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) | |
| 59.90% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1247 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "rhythmic" | | 1 | "vibrated" | | 2 | "etched" | | 3 | "intricate" | | 4 | "stomach" | | 5 | "firmly" | | 6 | "perfect" | | 7 | "shimmered" | | 8 | "standard" | | 9 | "chaotic" |
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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 | 64 | | matches | (empty) | |
| 31.25% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 64 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 79 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 46 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1243 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 70.73% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 29 | | wordCount | 820 | | uniqueNames | 8 | | maxNameDensity | 1.59 | | worstName | "Harlow" | | maxWindowNameDensity | 2 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 1 | | Town | 1 | | Tube | 1 | | Harlow | 13 | | Quinn | 1 | | Constable | 1 | | Miller | 10 | | Faint | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Constable" | | 3 | "Miller" |
| | places | | | globalScore | 0.707 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 5 | | matches | | 0 | "sheen that seemed to move when she blinked" | | 1 | "as if trying to break free" | | 2 | "looked like wet clay—led directly into th" | | 3 | "sounded like voices overlapping, thousands" | | 4 | "felt like jagged glass against her eard" | | 5 | "felt like running water" |
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| 39.10% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.609 | | wordCount | 1243 | | matches | | 0 | "not by heat, but by something" | | 1 | "not human, but deep, elongated indentations" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 97.05% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 35 | | mean | 35.51 | | std | 17.39 | | cv | 0.49 | | sampleLengths | | 0 | 59 | | 1 | 45 | | 2 | 14 | | 3 | 52 | | 4 | 17 | | 5 | 23 | | 6 | 59 | | 7 | 44 | | 8 | 50 | | 9 | 18 | | 10 | 50 | | 11 | 32 | | 12 | 31 | | 13 | 16 | | 14 | 48 | | 15 | 41 | | 16 | 8 | | 17 | 5 | | 18 | 46 | | 19 | 53 | | 20 | 53 | | 21 | 7 | | 22 | 32 | | 23 | 47 | | 24 | 32 | | 25 | 45 | | 26 | 29 | | 27 | 51 | | 28 | 54 | | 29 | 24 | | 30 | 5 | | 31 | 70 | | 32 | 16 | | 33 | 30 | | 34 | 37 |
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| 99.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 64 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 144 | | matches | (empty) | |
| 70.52% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 79 | | ratio | 0.025 | | matches | | 0 | "Footprints—not human, but deep, elongated indentations that looked like wet clay—led directly into the dark." | | 1 | "A soft, circular distortion began to ripple in the air in front of them—a blur of light and shadow, warping the bricks behind it like heat rising off hot asphalt." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 823 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 19 | | adverbRatio | 0.023086269744835967 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.007290400972053463 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 79 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 79 | | mean | 15.73 | | std | 8.88 | | cv | 0.564 | | sampleLengths | | 0 | 15 | | 1 | 24 | | 2 | 20 | | 3 | 18 | | 4 | 27 | | 5 | 14 | | 6 | 10 | | 7 | 19 | | 8 | 23 | | 9 | 17 | | 10 | 7 | | 11 | 16 | | 12 | 4 | | 13 | 17 | | 14 | 19 | | 15 | 11 | | 16 | 3 | | 17 | 5 | | 18 | 15 | | 19 | 29 | | 20 | 13 | | 21 | 6 | | 22 | 7 | | 23 | 5 | | 24 | 19 | | 25 | 18 | | 26 | 13 | | 27 | 14 | | 28 | 23 | | 29 | 17 | | 30 | 15 | | 31 | 9 | | 32 | 22 | | 33 | 16 | | 34 | 8 | | 35 | 40 | | 36 | 10 | | 37 | 16 | | 38 | 15 | | 39 | 8 | | 40 | 5 | | 41 | 46 | | 42 | 7 | | 43 | 46 | | 44 | 3 | | 45 | 12 | | 46 | 13 | | 47 | 7 | | 48 | 18 | | 49 | 7 |
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| 65.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4177215189873418 | | totalSentences | 79 | | uniqueOpeners | 33 | |
| 54.64% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 61 | | matches | | 0 | "Instead, she focused on the" |
| | ratio | 0.016 | |
| 82.30% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 21 | | totalSentences | 61 | | matches | | 0 | "She stepped over a pile" | | 1 | "It was Constable Miller, a" | | 2 | "He stood tucked against the" | | 3 | "Her stomach tightened." | | 4 | "She didn't look at the" | | 5 | "It shivered and spun, then" | | 6 | "They shimmered with an unnatural" | | 7 | "She reached for the brass" | | 8 | "She turned the compass over" | | 9 | "Her thumb caught against a" | | 10 | "It gave way with a" | | 11 | "She stood up, her jaw" | | 12 | "She walked toward the tunnel," | | 13 | "It sounded like voices overlapping," | | 14 | "She held the compass out." | | 15 | "She took another step forward," | | 16 | "She watched as a piece" | | 17 | "It didn't bounce off." | | 18 | "It vanished, consumed by the" | | 19 | "He reached out as if" |
| | ratio | 0.344 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 57 | | totalSentences | 61 | | matches | | 0 | "The air inside the abandoned" | | 1 | "Dust motes danced in the" | | 2 | "A low, rhythmic thrumming vibrated" | | 3 | "She stepped over a pile" | | 4 | "Harlow aimed her light toward" | | 5 | "It was Constable Miller, a" | | 6 | "He stood tucked against the" | | 7 | "Miller gestured toward the pile" | | 8 | "Harlow approached the body." | | 9 | "The victim sat slumped against" | | 10 | "The patina of verdigris clung" | | 11 | "Her stomach tightened." | | 12 | "This was no alleyway stabbing." | | 13 | "Miller muttered, scribbling something into" | | 14 | "Harlow knelt, the rough grit" | | 15 | "She didn't look at the" | | 16 | "The needle didn't point north." | | 17 | "It shivered and spun, then" | | 18 | "Harlow said, sliding her light" | | 19 | "They shimmered with an unnatural" |
| | ratio | 0.934 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 8 | | matches | | 0 | "Dust motes danced in the beam of Harlow Quinn’s flashlight, illuminating shards of ceramic tile and rusted tracks that disappeared into the suffocating dark." | | 1 | "A low, rhythmic thrumming vibrated through the soles of her boots, a sound that didn't belong in a decommissioned tunnel." | | 2 | "Ahead, the flickering beam picked out a man in a rumpled raincoat standing over a heap of discarded rags that might have once been a human being." | | 3 | "They shimmered with an unnatural iridescent sheen that seemed to move when she blinked." | | 4 | "The needle suddenly whipped around, slamming into the glass casing as if trying to break free." | | 5 | "The thrumming in the tunnel intensified, rising to a dissonant vibration that rattled her teeth." | | 6 | "Footprints—not human, but deep, elongated indentations that looked like wet clay—led directly into the dark." | | 7 | "It sounded like voices overlapping, thousands of them whispering in a language that felt like jagged glass against her eardrums." |
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| 9.62% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 3 | | matches | | 0 | "Miller called out, his hand hovering over his holster" | | 1 | "Harlow turned, her brown eyes cold and hard as iron" | | 2 | "Miller shouted, his voice cracking" |
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| 7.14% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 4 | | fancyTags | | 0 | "Miller muttered (mutter)" | | 1 | "Miller called out (call out)" | | 2 | "Harlow whispered (whisper)" | | 3 | "Miller shouted (shout)" |
| | dialogueSentences | 28 | | tagDensity | 0.321 | | leniency | 0.643 | | rawRatio | 0.444 | | effectiveRatio | 0.286 | |