| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.565 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 88.66% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1323 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "suddenly" | | 1 | "quickly" | | 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) | |
| 35.75% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1323 | | totalAiIsms | 17 | | found | | | highlights | | 0 | "fluttered" | | 1 | "scanning" | | 2 | "weight" | | 3 | "rhythmic" | | 4 | "pulse" | | 5 | "pristine" | | 6 | "reminder" | | 7 | "etched" | | 8 | "sanctuary" | | 9 | "scanned" | | 10 | "vibrated" | | 11 | "velvet" | | 12 | "silk" | | 13 | "tapestry" |
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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 | 86 | | matches | (empty) | |
| 43.19% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 4 | | narrationSentences | 86 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 96 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1319 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 64.41% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 1110 | | uniqueNames | 9 | | maxNameDensity | 1.71 | | worstName | "Quinn" | | maxWindowNameDensity | 3 | | worstWindowName | "Quinn" | | discoveredNames | | Harlow | 2 | | Quinn | 19 | | Tube | 1 | | Camden | 1 | | Miller | 13 | | Morris | 2 | | Veil | 2 | | Market | 2 | | Shade | 1 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Miller" | | 3 | "Morris" |
| | places | (empty) | | globalScore | 0.644 | | windowScore | 0.667 | |
| 69.35% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 2 | | matches | | 0 | "spiral that seemed to rotate if she looked at it from the corner of her eye" | | 1 | "looked like a collection of shadows held" |
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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 | 1319 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 96 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 36 | | mean | 36.64 | | std | 22.52 | | cv | 0.615 | | sampleLengths | | 0 | 76 | | 1 | 43 | | 2 | 84 | | 3 | 32 | | 4 | 46 | | 5 | 17 | | 6 | 5 | | 7 | 31 | | 8 | 38 | | 9 | 56 | | 10 | 34 | | 11 | 41 | | 12 | 5 | | 13 | 2 | | 14 | 50 | | 15 | 55 | | 16 | 33 | | 17 | 64 | | 18 | 9 | | 19 | 39 | | 20 | 50 | | 21 | 6 | | 22 | 26 | | 23 | 75 | | 24 | 16 | | 25 | 35 | | 26 | 21 | | 27 | 84 | | 28 | 20 | | 29 | 58 | | 30 | 13 | | 31 | 16 | | 32 | 9 | | 33 | 45 | | 34 | 44 | | 35 | 41 |
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| 84.86% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 86 | | matches | | 0 | "was sprawled" | | 1 | "been frightened" | | 2 | "was coated" | | 3 | "was etched" | | 4 | "been drained" |
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| 63.25% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 195 | | matches | | 0 | "was currently looking" | | 1 | "was spinning" | | 2 | "wasn't pointing" | | 3 | "was already checking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 5 | | flaggedSentences | 8 | | totalSentences | 96 | | ratio | 0.083 | | matches | | 0 | "Miller was a career cop who viewed the world in straight lines and clear-cut motives; he was currently looking at the scene with a mixture of disgust and boredom." | | 1 | "She didn't touch the victim—not yet—but she leaned in, observing the skin." | | 2 | "She remembered the whispers she'd chased through the underbelly of the city—rumors of a place called the Veil Market, a sanctuary for things that didn't belong in the light." | | 3 | "The needle wasn't pointing north; it was spinning violently in a clockwise circle, humming with a frequency that vibrated in Quinn's teeth." | | 4 | "The surface wasn't cold; it was warm, pulsing with a rhythmic energy." | | 5 | "She closed her eyes, trying to recall the feeling of the night Morris vanished—the way the air had curdled, the way the shadows had detached themselves from the floor." | | 6 | "The man wasn't just dead; he was empty." | | 7 | "The shimmer on his fingertips wasn't residue; it was the last remnant of something that had been drained out of him." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1120 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, ivory-colored disc." |
| | adverbCount | 29 | | adverbRatio | 0.025892857142857145 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.009821428571428571 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 96 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 96 | | mean | 13.74 | | std | 8.93 | | cv | 0.65 | | sampleLengths | | 0 | 23 | | 1 | 21 | | 2 | 5 | | 3 | 5 | | 4 | 22 | | 5 | 14 | | 6 | 29 | | 7 | 3 | | 8 | 14 | | 9 | 20 | | 10 | 17 | | 11 | 4 | | 12 | 5 | | 13 | 2 | | 14 | 19 | | 15 | 6 | | 16 | 26 | | 17 | 8 | | 18 | 11 | | 19 | 4 | | 20 | 23 | | 21 | 13 | | 22 | 4 | | 23 | 2 | | 24 | 3 | | 25 | 3 | | 26 | 28 | | 27 | 9 | | 28 | 29 | | 29 | 3 | | 30 | 33 | | 31 | 8 | | 32 | 12 | | 33 | 18 | | 34 | 16 | | 35 | 11 | | 36 | 4 | | 37 | 26 | | 38 | 5 | | 39 | 2 | | 40 | 10 | | 41 | 18 | | 42 | 4 | | 43 | 18 | | 44 | 29 | | 45 | 21 | | 46 | 5 | | 47 | 24 | | 48 | 9 | | 49 | 6 |
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| 42.71% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.34375 | | totalSentences | 96 | | uniqueOpeners | 33 | |
| 85.47% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 78 | | matches | | 0 | "Just a man who looked" | | 1 | "Instead, it was etched with" |
| | ratio | 0.026 | |
| 71.28% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 78 | | matches | | 0 | "She didn't like the smell." | | 1 | "She didn't like the location." | | 2 | "She stopped a few feet" | | 3 | "He was sprawled on his" | | 4 | "She glanced at the worn" | | 5 | "It was 3:14 AM." | | 6 | "She knelt beside the body," | | 7 | "She didn't touch the victim—not" | | 8 | "It wasn't a coin." | | 9 | "It was a sliver of" | | 10 | "She stood up and began" | | 11 | "She remembered the whispers she'd" | | 12 | "She walked over and knelt," | | 13 | "It was a small brass" | | 14 | "She held the compass steady." | | 15 | "She reached out, her fingers" | | 16 | "She closed her eyes, trying" | | 17 | "She felt a sudden, sharp" | | 18 | "She looked back at the" | | 19 | "She looked at the compass" |
| | ratio | 0.372 | |
| 49.74% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 64 | | totalSentences | 78 | | matches | | 0 | "Detective Harlow Quinn stepped off" | | 1 | "The air beneath Camden was" | | 2 | "She didn't like the smell." | | 3 | "She didn't like the location." | | 4 | "Sergeant Miller said, gesturing vaguely" | | 5 | "Miller was a career cop" | | 6 | "Quinn didn't answer." | | 7 | "She stopped a few feet" | | 8 | "The victim was a man" | | 9 | "He was sprawled on his" | | 10 | "Miller said, stepping closer" | | 11 | "Quinn shifted her weight, her" | | 12 | "She glanced at the worn" | | 13 | "It was 3:14 AM." | | 14 | "The lighting was erratic, the" | | 15 | "Quinn said, her voice a" | | 16 | "Quinn ignored him." | | 17 | "The mention of Morris always" | | 18 | "She knelt beside the body," | | 19 | "She didn't touch the victim—not" |
| | ratio | 0.821 | |
| 64.10% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 78 | | matches | | 0 | "To Miller, it was just" |
| | ratio | 0.013 | |
| 31.75% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 7 | | matches | | 0 | "The air beneath Camden was thick, tasting of ozone and ancient damp, a cloying sweetness that reminded her of rotting lilies." | | 1 | "And she particularly didn't like the way the yellow police tape fluttered in a draft that shouldn't have existed three stories underground." | | 2 | "Miller was a career cop who viewed the world in straight lines and clear-cut motives; he was currently looking at the scene with a mixture of disgust and boredo…" | | 3 | "The lighting was erratic, the emergency lamps flickering in a rhythmic pulse that felt less like failing electricity and more like a heartbeat." | | 4 | "The reports described it as a nomadic bazaar that shifted locations every full moon, hiding in the cracks of the city." | | 5 | "The needle wasn't pointing north; it was spinning violently in a clockwise circle, humming with a frequency that vibrated in Quinn's teeth." | | 6 | "She saw the silhouette of a woman with curly red hair and round glasses, clutching a worn leather satchel, speaking urgently to a creature that looked like a co…" |
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| 9.62% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 3 | | matches | | 0 | "Quinn said, her voice a low, precise rasp" | | 1 | "Quinn said, her voice hardening" | | 2 | "Quinn said, her voice devoid of emotion" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 4 | | fancyTags | | 0 | "Quinn noted (note)" | | 1 | "Miller sighed (sigh)" | | 2 | "she whispered (whisper)" | | 3 | "Miller muttered (mutter)" |
| | dialogueSentences | 23 | | tagDensity | 0.565 | | leniency | 1 | | rawRatio | 0.308 | | effectiveRatio | 0.308 | |