| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1453 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slightly" | | 1 | "sharply" | | 2 | "carefully" | | 3 | "suddenly" |
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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) | |
| 48.38% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1453 | | totalAiIsms | 15 | | found | | | highlights | | 0 | "treacherous" | | 1 | "beacon" | | 2 | "sturdy" | | 3 | "echoing" | | 4 | "electric" | | 5 | "pulse" | | 6 | "scanning" | | 7 | "echoed" | | 8 | "flickered" | | 9 | "weight" | | 10 | "cacophony" | | 11 | "raced" | | 12 | "echo" | | 13 | "pounding" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 2 | | found | | 0 | | label | "blood ran cold" | | count | 1 |
| | 1 | | label | "eyes widened/narrowed" | | count | 1 |
| | 2 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "blood ran cold" | | 1 | "eyes widened" | | 2 | "the air was thick with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 136 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 136 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 154 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 6 | | totalWords | 1435 | | ratio | 0.004 | | matches | | 0 | "Turn back. You don’t belong here." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 41 | | wordCount | 1340 | | uniqueNames | 8 | | maxNameDensity | 1.72 | | worstName | "Quinn" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Quinn" | | discoveredNames | | Soho | 1 | | Quinn | 23 | | Raven | 2 | | Nest | 3 | | Veil | 1 | | Market | 1 | | Tomás | 9 | | Herrera | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Raven" | | 2 | "Nest" | | 3 | "Market" | | 4 | "Tomás" | | 5 | "Herrera" |
| | places | | | globalScore | 0.642 | | windowScore | 0.5 | |
| 91.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 85 | | glossingSentenceCount | 2 | | matches | | 0 | "trinkets that seemed to hum with energy" | | 1 | "looked like bones" |
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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 | 1435 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 154 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 28.14 | | std | 25.34 | | cv | 0.901 | | sampleLengths | | 0 | 86 | | 1 | 89 | | 2 | 85 | | 3 | 67 | | 4 | 11 | | 5 | 8 | | 6 | 52 | | 7 | 66 | | 8 | 76 | | 9 | 20 | | 10 | 8 | | 11 | 6 | | 12 | 5 | | 13 | 20 | | 14 | 53 | | 15 | 28 | | 16 | 4 | | 17 | 50 | | 18 | 36 | | 19 | 4 | | 20 | 78 | | 21 | 19 | | 22 | 12 | | 23 | 9 | | 24 | 9 | | 25 | 1 | | 26 | 12 | | 27 | 11 | | 28 | 14 | | 29 | 39 | | 30 | 38 | | 31 | 9 | | 32 | 6 | | 33 | 33 | | 34 | 60 | | 35 | 4 | | 36 | 6 | | 37 | 41 | | 38 | 47 | | 39 | 39 | | 40 | 42 | | 41 | 10 | | 42 | 30 | | 43 | 21 | | 44 | 21 | | 45 | 4 | | 46 | 10 | | 47 | 5 | | 48 | 5 | | 49 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 136 | | matches | | 0 | "being made" | | 1 | "were overturned" |
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| 87.48% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 237 | | matches | | 0 | "was breathing" | | 1 | "was speaking" | | 2 | "was shouting" | | 3 | "were fading" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 16 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 154 | | ratio | 0.065 | | matches | | 0 | "The suspect—a wiry man in a long coat—had vanished into the labyrinth of alleys behind The Raven’s Nest, but she’d caught a glimpse of him ducking into the shadows near the bar’s back door." | | 1 | "Inside, the air was thick with the scent of stale beer and something metallic—blood, maybe, or just the iron tang of old pipes." | | 2 | "The suspect had left a trail—drops of water, a smudge of mud on the floor—but the deeper she went, the more the air changed." | | 3 | "A table, a chair, and a narrow door at the far end—no doubt leading down." | | 4 | "The scent of damp earth and something else—something electric, like ozone after a storm—filled her lungs." | | 5 | "People screamed, stalls were overturned, and the suspect—her suspect—vanished into the crowd." | | 6 | "A man with a scar running down his left forearm—Tomás Herrera—was speaking to him, his hands moving in quick, urgent gestures." | | 7 | "A sound echoed through the cavern—a deep, resonant hum, like the tolling of a bell." | | 8 | "She’d seen things like this before—in the files, in the whispers of the force." | | 9 | "The sounds of the market were fading, but the hum—the deep, resonant hum—was still there, vibrating through the soles of her boots." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1358 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.019882179675994108 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.003681885125184094 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 154 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 154 | | mean | 9.32 | | std | 6.34 | | cv | 0.68 | | sampleLengths | | 0 | 15 | | 1 | 16 | | 2 | 34 | | 3 | 3 | | 4 | 18 | | 5 | 23 | | 6 | 20 | | 7 | 3 | | 8 | 19 | | 9 | 5 | | 10 | 4 | | 11 | 15 | | 12 | 18 | | 13 | 24 | | 14 | 20 | | 15 | 23 | | 16 | 11 | | 17 | 15 | | 18 | 17 | | 19 | 4 | | 20 | 4 | | 21 | 16 | | 22 | 11 | | 23 | 5 | | 24 | 3 | | 25 | 4 | | 26 | 17 | | 27 | 10 | | 28 | 4 | | 29 | 17 | | 30 | 3 | | 31 | 9 | | 32 | 9 | | 33 | 12 | | 34 | 17 | | 35 | 16 | | 36 | 6 | | 37 | 14 | | 38 | 13 | | 39 | 12 | | 40 | 14 | | 41 | 14 | | 42 | 3 | | 43 | 13 | | 44 | 7 | | 45 | 5 | | 46 | 3 | | 47 | 5 | | 48 | 1 | | 49 | 5 |
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| 40.91% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 14 | | diversityRatio | 0.24675324675324675 | | totalSentences | 154 | | uniqueOpeners | 38 | |
| 52.08% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 128 | | matches | | 0 | "Instead, he reached into his" | | 1 | "Then she saw him." |
| | ratio | 0.016 | |
| 73.13% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 47 | | totalSentences | 128 | | matches | | 0 | "She didn’t hesitate." | | 1 | "She pushed through the door" | | 2 | "She didn’t waste time." | | 3 | "She didn’t need to." | | 4 | "he said, voice tight" | | 5 | "He hesitated, then bolted." | | 6 | "She fired a warning shot" | | 7 | "He yanked open the door" | | 8 | "She descended carefully, her boots" | | 9 | "She moved forward, her pulse" | | 10 | "He turned a corner, and" | | 11 | "She pushed forward, weaving through" | | 12 | "She kept her eyes on" | | 13 | "He was tall, his coat" | | 14 | "he said, voice low" | | 15 | "He collapsed, his knife clattering" | | 16 | "She holstered her gun and" | | 17 | "She needed to find him" | | 18 | "He was near the back" | | 19 | "She knew that scar." |
| | ratio | 0.367 | |
| 10.78% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 115 | | totalSentences | 128 | | matches | | 0 | "The rain fell in sheets," | | 1 | "Harlow Quinn’s boots splashed through" | | 2 | "The suspect—a wiry man in" | | 3 | "She didn’t hesitate." | | 4 | "The door was slightly ajar," | | 5 | "The place was nearly empty," | | 6 | "Quinn didn’t slow." | | 7 | "She pushed through the door" | | 8 | "A deadbolt, rusted but sturdy." | | 9 | "She didn’t waste time." | | 10 | "A sharp kick sent the" | | 11 | "The corridor beyond was narrow," | | 12 | "The suspect had left a" | | 13 | "The hum of the city" | | 14 | "The hidden room was just" | | 15 | "A table, a chair, and" | | 16 | "The suspect was already halfway" | | 17 | "Quinn didn’t call out." | | 18 | "She didn’t need to." | | 19 | "The moment he saw her," |
| | ratio | 0.898 | |
| 39.06% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 128 | | matches | | 0 | "Before he led her into" |
| | ratio | 0.008 | |
| 65.93% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 65 | | technicalSentenceCount | 7 | | matches | | 0 | "The hum of the city above faded, replaced by something darker, something that prickled at the back of her neck." | | 1 | "The hidden room was just ahead, concealed behind a bookshelf that swung open with a groan when she pressed her palm against it." | | 2 | "At the bottom, a tunnel stretched before her, lit by flickering lanterns that cast long, shifting shadows." | | 3 | "Bottles of swirling liquid, bundles of herbs, trinkets that seemed to hum with energy." | | 4 | "He was near the back of the cavern, standing in front of a stall that sold bundles of dried herbs and strange, glowing stones." | | 5 | "A man with a scar running down his left forearm—Tomás Herrera—was speaking to him, his hands moving in quick, urgent gestures." | | 6 | "The figures were closer now, their voices a chorus of whispers that slithered into her ears." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, voice tight" | | 1 | "he said, voice low" | | 2 | "he said, his voice steady despite the panic in his gaze" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 22 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0.25 | | effectiveRatio | 0.091 | |