| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 29 | | tagDensity | 0.207 | | leniency | 0.414 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 87.48% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1198 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "slightly" | | 1 | "sharply" | | 2 | "very" |
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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) | |
| 62.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1198 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "stomach" | | 1 | "pawn" | | 2 | "pulsed" | | 3 | "warmth" | | 4 | "etched" | | 5 | "racing" | | 6 | "depths" | | 7 | "pounding" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 101 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 101 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 123 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 35 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 21 | | markdownWords | 21 | | totalWords | 1190 | | ratio | 0.018 | | matches | | 0 | "wrong" | | 1 | "wrong" | | 2 | "positioned" | | 3 | "hurled" | | 4 | "dark" | | 5 | "spreading" | | 6 | "expanding" | | 7 | "feel" | | 8 | "dilated" | | 9 | "gap" | | 10 | "moving" | | 11 | "pattern" | | 12 | "complete" | | 13 | "sacrifice" | | 14 | "used" | | 15 | "shadow" | | 16 | "pulsed" | | 17 | "hungry" | | 18 | "moved" | | 19 | "wrong" | | 20 | "ripped" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 46.59% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 42 | | wordCount | 967 | | uniqueNames | 6 | | maxNameDensity | 2.07 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Tube | 1 | | Quinn | 20 | | Kowalski | 1 | | Eva | 14 | | Veil | 3 | | Compass | 3 |
| | persons | | 0 | "Quinn" | | 1 | "Kowalski" | | 2 | "Eva" |
| | places | (empty) | | globalScore | 0.466 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 1 | | matches | | 0 | "looked like old rope, though it wasn’t qu" |
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| 31.93% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.681 | | wordCount | 1190 | | matches | | 0 | "not killed by a single blow, but *hurled*, like a ragdoll" | | 1 | "not from fear, but from something else" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 123 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 29.75 | | std | 22.97 | | cv | 0.772 | | sampleLengths | | 0 | 59 | | 1 | 66 | | 2 | 62 | | 3 | 83 | | 4 | 42 | | 5 | 55 | | 6 | 8 | | 7 | 70 | | 8 | 38 | | 9 | 6 | | 10 | 34 | | 11 | 13 | | 12 | 33 | | 13 | 14 | | 14 | 18 | | 15 | 73 | | 16 | 50 | | 17 | 4 | | 18 | 59 | | 19 | 8 | | 20 | 19 | | 21 | 52 | | 22 | 5 | | 23 | 32 | | 24 | 27 | | 25 | 4 | | 26 | 37 | | 27 | 9 | | 28 | 46 | | 29 | 5 | | 30 | 32 | | 31 | 4 | | 32 | 16 | | 33 | 16 | | 34 | 4 | | 35 | 18 | | 36 | 12 | | 37 | 42 | | 38 | 5 | | 39 | 10 |
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| 80.94% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 7 | | totalSentences | 101 | | matches | | 0 | "was supposed" | | 1 | "were lined" | | 2 | "was frozen" | | 3 | "was *positioned" | | 4 | "been thrown" | | 5 | "were *dilated" | | 6 | "were filled" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 8 | | totalVerbs | 166 | | matches | | 0 | "wasn’t drying" | | 1 | "was *spreading*, was drinking" | | 2 | "was pointing" | | 3 | "was staring" | | 4 | "were shaking" | | 5 | "was staring" | | 6 | "was coming" |
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| 26.71% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 123 | | ratio | 0.041 | | matches | | 0 | "That was the official line, anyway—the kind of bureaucratic nonsense that made Quinn’s teeth grind." | | 1 | "The walls of the station were lined with the remnants of a makeshift barrier—charred wood, rusted nails, and something that looked like old rope, though it wasn’t quite right." | | 2 | "As if he’d been thrown against the wall—not killed by a single blow, but *hurled*, like a ragdoll." | | 3 | "Quinn crouched beside the body, her gloved fingers brushing against the cold metal of the man’s watch—a cheap, mass-produced thing, the kind you’d find in any pawn shop." | | 4 | "Not the kind you’d see in the movies—no swirling colors, no screaming monsters." |
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| 88.62% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 975 | | adjectiveStacks | 1 | | stackExamples | | 0 | "cheap, mass-produced thing," |
| | adverbCount | 45 | | adverbRatio | 0.046153846153846156 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.008205128205128205 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 123 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 123 | | mean | 9.67 | | std | 7.65 | | cv | 0.791 | | sampleLengths | | 0 | 9 | | 1 | 15 | | 2 | 35 | | 3 | 16 | | 4 | 33 | | 5 | 9 | | 6 | 8 | | 7 | 3 | | 8 | 4 | | 9 | 8 | | 10 | 29 | | 11 | 2 | | 12 | 2 | | 13 | 14 | | 14 | 2 | | 15 | 7 | | 16 | 12 | | 17 | 16 | | 18 | 10 | | 19 | 7 | | 20 | 18 | | 21 | 3 | | 22 | 6 | | 23 | 2 | | 24 | 4 | | 25 | 14 | | 26 | 24 | | 27 | 28 | | 28 | 14 | | 29 | 9 | | 30 | 4 | | 31 | 3 | | 32 | 5 | | 33 | 3 | | 34 | 21 | | 35 | 3 | | 36 | 8 | | 37 | 4 | | 38 | 16 | | 39 | 11 | | 40 | 4 | | 41 | 30 | | 42 | 8 | | 43 | 4 | | 44 | 2 | | 45 | 21 | | 46 | 13 | | 47 | 9 | | 48 | 4 | | 49 | 2 |
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| 41.06% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.2682926829268293 | | totalSentences | 123 | | uniqueOpeners | 33 | |
| 36.23% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 92 | | matches | | | ratio | 0.011 | |
| 85.22% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 92 | | matches | | 0 | "She didn’t look up as" | | 1 | "She didn’t have to." | | 2 | "His skin was pale, almost" | | 3 | "His face was frozen in" | | 4 | "It was the way he" | | 5 | "She adjusted her glasses, her" | | 6 | "she said, her voice low" | | 7 | "She turned her attention to" | | 8 | "It wasn’t red." | | 9 | "It was black, thick and" | | 10 | "It was *spreading*, seeping into" | | 11 | "She pulled out her notebook," | | 12 | "She walked over to the" | | 13 | "She crouched again, this time" | | 14 | "His eyes were open, glassy," | | 15 | "It was the way his" | | 16 | "She reached into her pocket" | | 17 | "She turned, following the direction" | | 18 | "It pulsed, like a living" | | 19 | "She was staring at the" |
| | ratio | 0.337 | |
| 68.70% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 72 | | totalSentences | 92 | | matches | | 0 | "The abandoned Tube station was" | | 1 | "That was the official line," | | 2 | "Eva Kowalski was already there," | | 3 | "She didn’t look up as" | | 4 | "Eva muttered, her voice tight" | | 5 | "Quinn didn’t answer." | | 6 | "She didn’t have to." | | 7 | "The scene before her was" | | 8 | "The walls of the station" | | 9 | "His skin was pale, almost" | | 10 | "His face was frozen in" | | 11 | "It was the way he" | | 12 | "Eva followed her gaze." | | 13 | "She adjusted her glasses, her" | | 14 | "Quinn crouched beside the body," | | 15 | "she said, her voice low" | | 16 | "Eva exhaled sharply." | | 17 | "Quinn ignored her." | | 18 | "She turned her attention to" | | 19 | "It wasn’t red." |
| | ratio | 0.783 | |
| 54.35% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 92 | | matches | | 0 | "As if he’d been thrown" |
| | ratio | 0.011 | |
| 40.82% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 6 | | matches | | 0 | "But here she stood, boots crunching over broken glass and the skeletal remains of a collapsed ticket barrier, her breath fogging in the cold air that smelled of…" | | 1 | "The walls of the station were lined with the remnants of a makeshift barrier—charred wood, rusted nails, and something that looked like old rope, though it wasn…" | | 2 | "It was *spreading*, seeping into the stone as if the very ground was drinking it in." | | 3 | "Something that made them look like they were filled with ink." | | 4 | "She was already moving, her boots crunching over the glass and debris, her eyes locked on the rift." | | 5 | "She turned and ran, her boots pounding against the concrete, her satchel slamming against her legs." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 4 | | matches | | 0 | "Eva muttered, her voice tight" | | 1 | "She adjusted, her fingers trembling just slightly" | | 2 | "she said, her voice low" | | 3 | "she said, her voice steady now, her mind racing" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 29 | | tagDensity | 0.103 | | leniency | 0.207 | | rawRatio | 0.333 | | effectiveRatio | 0.069 | |