| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 16 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 27 | | tagDensity | 0.593 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 74.55% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1375 | | totalAiIsmAdverbs | 7 | | found | | | highlights | | 0 | "softly" | | 1 | "gently" | | 2 | "slightly" | | 3 | "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) | |
| 45.45% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1375 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "measured" | | 1 | "gloom" | | 2 | "weight" | | 3 | "shattered" | | 4 | "warmth" | | 5 | "profound" | | 6 | "familiar" | | 7 | "etched" | | 8 | "intricate" | | 9 | "silence" | | 10 | "glistening" | | 11 | "echoed" | | 12 | "standard" | | 13 | "ensure" |
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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 | 93 | | matches | (empty) | |
| 81.41% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 2 | | narrationSentences | 93 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 104 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 44 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 9 | | totalWords | 1370 | | ratio | 0.007 | | matches | | 0 | "Call Number: MSS-7092-B. Restricted Archives." | | 1 | "Requested by: E. Kowalski." |
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| 97.22% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 1 | | matches | | 0 | "When she drew it out, Miller gasped slightly." |
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| 66.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 56 | | wordCount | 1096 | | uniqueNames | 21 | | maxNameDensity | 1.64 | | worstName | "Harlow" | | maxWindowNameDensity | 3 | | worstWindowName | "Harlow" | | discoveredNames | | Camden | 3 | | Tube | 1 | | Harlow | 18 | | Quinn | 2 | | Miller | 9 | | London | 3 | | Edwardian | 2 | | Three | 1 | | Morris | 2 | | Whitechapel | 1 | | North | 1 | | South | 1 | | East | 1 | | West | 1 | | Shade-work | 1 | | British | 1 | | Museum | 1 | | Number | 1 | | Kowalski | 3 | | Oxford | 1 | | Eva | 2 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Morris" | | 4 | "Kowalski" | | 5 | "Eva" |
| | places | | 0 | "Camden" | | 1 | "London" | | 2 | "British" | | 3 | "Museum" | | 4 | "Oxford" |
| | globalScore | 0.679 | | windowScore | 0.667 | |
| 79.58% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 2 | | matches | | 0 | "sigils that seemed to shift slightly when the light hit them" | | 1 | "looked like an index card, clean and whit" |
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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 | 1370 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 104 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 33 | | mean | 41.52 | | std | 22.94 | | cv | 0.553 | | sampleLengths | | 0 | 74 | | 1 | 51 | | 2 | 50 | | 3 | 39 | | 4 | 46 | | 5 | 26 | | 6 | 59 | | 7 | 35 | | 8 | 42 | | 9 | 48 | | 10 | 15 | | 11 | 76 | | 12 | 16 | | 13 | 77 | | 14 | 22 | | 15 | 52 | | 16 | 11 | | 17 | 59 | | 18 | 23 | | 19 | 90 | | 20 | 22 | | 21 | 25 | | 22 | 26 | | 23 | 72 | | 24 | 36 | | 25 | 18 | | 26 | 9 | | 27 | 53 | | 28 | 32 | | 29 | 5 | | 30 | 84 | | 31 | 24 | | 32 | 53 |
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| 93.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 93 | | matches | | 0 | "been pried" | | 1 | "was dressed" | | 2 | "was etched" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 7 | | totalVerbs | 168 | | matches | | 0 | "was shivering" | | 1 | "wasn't pointing" | | 2 | "was spinning" | | 3 | "was pointing" | | 4 | "were starting" | | 5 | "were breathing" | | 6 | "was watching" |
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| 32.97% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 104 | | ratio | 0.038 | | matches | | 0 | "The platform was a graveyard of old London transport history—broken wooden posters, shattered tiles from a forgotten Edwardian era, and heaps of gravel." | | 1 | "When she parted his lips, a faint wispy breath of condensation escaped into the damp air—even though the underground station was a humid sixty degrees." | | 2 | "The date on her watch—the night of the full moon." | | 3 | "There were no cardinal directions—no North, South, East, or West." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1110 | | adjectiveStacks | 1 | | stackExamples | | 0 | "vast, brick-vaulted dark" |
| | adverbCount | 35 | | adverbRatio | 0.03153153153153153 | | lyAdverbCount | 21 | | lyAdverbRatio | 0.01891891891891892 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 104 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 104 | | mean | 13.17 | | std | 8.57 | | cv | 0.65 | | sampleLengths | | 0 | 23 | | 1 | 23 | | 2 | 28 | | 3 | 15 | | 4 | 4 | | 5 | 32 | | 6 | 19 | | 7 | 12 | | 8 | 19 | | 9 | 5 | | 10 | 16 | | 11 | 18 | | 12 | 23 | | 13 | 23 | | 14 | 7 | | 15 | 19 | | 16 | 14 | | 17 | 8 | | 18 | 37 | | 19 | 8 | | 20 | 7 | | 21 | 12 | | 22 | 5 | | 23 | 3 | | 24 | 24 | | 25 | 18 | | 26 | 7 | | 27 | 37 | | 28 | 4 | | 29 | 10 | | 30 | 5 | | 31 | 27 | | 32 | 12 | | 33 | 25 | | 34 | 12 | | 35 | 10 | | 36 | 6 | | 37 | 14 | | 38 | 2 | | 39 | 33 | | 40 | 13 | | 41 | 15 | | 42 | 10 | | 43 | 8 | | 44 | 4 | | 45 | 16 | | 46 | 8 | | 47 | 8 | | 48 | 20 | | 49 | 6 |
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| 53.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.375 | | totalSentences | 104 | | uniqueOpeners | 39 | |
| 38.31% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 87 | | matches | | 0 | "Instead, the face was etched" |
| | ratio | 0.011 | |
| 54.48% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 87 | | matches | | 0 | "She descended the iron spiral" | | 1 | "She stopped on the bottom" | | 2 | "It was 3:14 AM." | | 3 | "He was shivering, his high-visibility" | | 4 | "She adjusted her collar, her" | | 5 | "Her closely cropped salt-and-pepper hair" | | 6 | "Her voice was flat, gravelly," | | 7 | "He gestured toward the tracks" | | 8 | "She knelt beside the body," | | 9 | "She didn't touch anything yet." | | 10 | "She just looked." | | 11 | "His eyes were wide, staring" | | 12 | "She leaned closer, her nose" | | 13 | "It had been three years" | | 14 | "She slid her fingers into" | | 15 | "Her hand brushed against something" | | 16 | "She pulled it out." | | 17 | "It was a small, circular" | | 18 | "It felt strangely warm through" | | 19 | "She held it up to" |
| | ratio | 0.414 | |
| 28.97% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 87 | | matches | | 0 | "The damp of the abandoned" | | 1 | "She descended the iron spiral" | | 2 | "She stopped on the bottom" | | 3 | "It was 3:14 AM." | | 4 | "The air down here smelled" | | 5 | "DS Miller said, his voice" | | 6 | "He was shivering, his high-visibility" | | 7 | "Harlow didn't look at him." | | 8 | "She adjusted her collar, her" | | 9 | "Her closely cropped salt-and-pepper hair" | | 10 | "The platform was a graveyard" | | 11 | "Her voice was flat, gravelly," | | 12 | "Miller said, eager to get" | | 13 | "He gestured toward the tracks" | | 14 | "Harlow stepped down onto the" | | 15 | "The gravel crunched softly under" | | 16 | "She knelt beside the body," | | 17 | "She didn't touch anything yet." | | 18 | "She just looked." | | 19 | "The victim was dressed in" |
| | ratio | 0.862 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 87 | | matches | (empty) | | ratio | 0 | |
| 93.02% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 3 | | matches | | 0 | "Instead, the face was etched with intricate, swirling silver sigils that seemed to shift slightly when the light hit them." | | 1 | "The sigils on the brass face seemed to hum, a tiny, high-frequency vibration that set her teeth on edge." | | 2 | "The pieces were starting to align, forming a picture that was far larger and infinitely more dangerous than a simple homicide in Camden." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 16 | | uselessAdditionCount | 5 | | matches | | 0 | "Miller said, eager to get back to the warmth of the surface" | | 1 | "Harlow repeated, her tone dry" | | 2 | "She leaned, her nose twitching" | | 3 | "Harlow reached out, her gloved fingers gently tilting the victim’s chin" | | 4 | "Harlow said, turning to face him" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 5 | | fancyTags | | 0 | "Harlow repeated (repeat)" | | 1 | "Miller muttered (mutter)" | | 2 | "Harlow whispered (whisper)" | | 3 | "Harlow murmured (murmur)" | | 4 | "Harlow snapped (snap)" |
| | dialogueSentences | 27 | | tagDensity | 0.407 | | leniency | 0.815 | | rawRatio | 0.455 | | effectiveRatio | 0.37 | |