| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 26 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 41 | | tagDensity | 0.634 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 75.47% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1019 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "quickly" | | 1 | "hungrily" | | 2 | "softly" | | 3 | "slowly" | | 4 | "nervously" |
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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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1019 | | totalAiIsms | 24 | | found | | 0 | | | 1 | | word | "down her spine" | | count | 1 |
| | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "chill" | | 1 | "down her spine" | | 2 | "furrowed" | | 3 | "racing" | | 4 | "loomed" | | 5 | "etched" | | 6 | "echoing" | | 7 | "traced" | | 8 | "silence" | | 9 | "potential" | | 10 | "echo" | | 11 | "footsteps" | | 12 | "glinting" | | 13 | "pounding" | | 14 | "echoed" | | 15 | "pulse" | | 16 | "whisper" | | 17 | "raced" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "hung in the air" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | 0 | "hung in the air" | | 1 | "sent a chill down" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 74 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 0 | | narrationSentences | 74 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 41 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1013 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 30 | | wordCount | 775 | | uniqueNames | 7 | | maxNameDensity | 1.68 | | worstName | "Mason" | | maxWindowNameDensity | 4 | | worstWindowName | "Mason" | | discoveredNames | | Quinn | 11 | | Tube | 1 | | Camden | 1 | | Mason | 13 | | Veil | 2 | | Compass | 1 | | Market | 1 |
| | persons | | | places | | | globalScore | 0.661 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 56 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1013 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 89 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 43 | | mean | 23.56 | | std | 16 | | cv | 0.679 | | sampleLengths | | 0 | 55 | | 1 | 58 | | 2 | 54 | | 3 | 15 | | 4 | 7 | | 5 | 20 | | 6 | 17 | | 7 | 8 | | 8 | 46 | | 9 | 9 | | 10 | 32 | | 11 | 26 | | 12 | 17 | | 13 | 21 | | 14 | 24 | | 15 | 41 | | 16 | 7 | | 17 | 17 | | 18 | 26 | | 19 | 22 | | 20 | 37 | | 21 | 58 | | 22 | 15 | | 23 | 25 | | 24 | 8 | | 25 | 13 | | 26 | 10 | | 27 | 11 | | 28 | 48 | | 29 | 50 | | 30 | 15 | | 31 | 8 | | 32 | 9 | | 33 | 21 | | 34 | 17 | | 35 | 23 | | 36 | 45 | | 37 | 16 | | 38 | 9 | | 39 | 2 | | 40 | 12 | | 41 | 34 | | 42 | 5 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 74 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 156 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 3 | | flaggedSentences | 5 | | totalSentences | 89 | | ratio | 0.056 | | matches | | 0 | "“I need you to follow me on this. What about the blood? It’s drying too quickly. Too uneven. Look at the way it spreads; it shouldn’t be like this unless…”" | | 1 | "Silence wrapped around them, but it was something more than just ordinary absence; it hummed with potential chaos." | | 2 | "Her gaze darted—nothing moved." | | 3 | "“The whispers aren’t unfounded. This isn’t just about explosions and bruises; this is bigger.” She found it, half-buried underneath a broken beam—a compact brass compass, its face etched with protective sigils, verdigris patina glinting dully in the thin light." | | 4 | "If her hunch was right—and it usually was—this was it." |
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| 99.15% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 781 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 32 | | adverbRatio | 0.040973111395646605 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.014084507042253521 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 11.38 | | std | 6.89 | | cv | 0.606 | | sampleLengths | | 0 | 10 | | 1 | 16 | | 2 | 13 | | 3 | 16 | | 4 | 26 | | 5 | 16 | | 6 | 16 | | 7 | 14 | | 8 | 6 | | 9 | 8 | | 10 | 26 | | 11 | 10 | | 12 | 5 | | 13 | 7 | | 14 | 14 | | 15 | 6 | | 16 | 5 | | 17 | 12 | | 18 | 2 | | 19 | 6 | | 20 | 12 | | 21 | 20 | | 22 | 14 | | 23 | 9 | | 24 | 8 | | 25 | 12 | | 26 | 12 | | 27 | 19 | | 28 | 4 | | 29 | 3 | | 30 | 2 | | 31 | 15 | | 32 | 5 | | 33 | 16 | | 34 | 10 | | 35 | 14 | | 36 | 11 | | 37 | 30 | | 38 | 7 | | 39 | 9 | | 40 | 8 | | 41 | 18 | | 42 | 8 | | 43 | 15 | | 44 | 7 | | 45 | 25 | | 46 | 12 | | 47 | 4 | | 48 | 13 | | 49 | 11 |
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| 87.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 2 | | diversityRatio | 0.5393258426966292 | | totalSentences | 89 | | uniqueOpeners | 48 | |
| 49.02% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 68 | | matches | | 0 | "Just then, footsteps echoed through" |
| | ratio | 0.015 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 68 | | matches | | 0 | "She adjusted her leather watch," | | 1 | "He scribbled something, his brow" | | 2 | "She leaned in closer, studying" | | 3 | "She knelt down, inching closer" | | 4 | "She stopped, her mind racing" | | 5 | "She gestured towards a nearby" | | 6 | "He trailed off, searching her" | | 7 | "She took a steadying breath," | | 8 | "She moved, the rhythm of" | | 9 | "she whispered, eyes narrowing" | | 10 | "she snapped, moving deeper into" | | 11 | "His voice faded as her" | | 12 | "She paused, surrounding herself with" | | 13 | "Her gaze darted—nothing moved." | | 14 | "She found it, half-buried underneath" | | 15 | "She pocketed it without hesitation," | | 16 | "She dropped to the floor," | | 17 | "he returned, glancing nervously at" | | 18 | "She bolted toward the flickering" | | 19 | "It was about the truth" |
| | ratio | 0.294 | |
| 26.18% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 59 | | totalSentences | 68 | | matches | | 0 | "Harlow Quinn stepped into the" | | 1 | "The air felt thick, almost" | | 2 | "She adjusted her leather watch," | | 3 | "A body lay sprawled on" | | 4 | "The faint scent of iron" | | 5 | "Blood pooled beneath him, congealing" | | 6 | "Detective Mason stood a few" | | 7 | "He scribbled something, his brow" | | 8 | "Quinn approached, her gaze locked" | | 9 | "There had been reports of" | | 10 | "Mason glanced her way, his" | | 11 | "She leaned in closer, studying" | | 12 | "Mason said, motioning to the" | | 13 | "Quinn furrowed her brow" | | 14 | "Quinn’s voice dropped, her instincts" | | 15 | "She knelt down, inching closer" | | 16 | "She stopped, her mind racing" | | 17 | "Mason prompted, crossing his arms" | | 18 | "Quinn straightened, her gaze darting" | | 19 | "Graffiti decorated some of the" |
| | ratio | 0.868 | |
| 73.53% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 68 | | matches | | 0 | "If her hunch was right—and" |
| | ratio | 0.015 | |
| 71.43% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 30 | | technicalSentenceCount | 3 | | matches | | 0 | "Blood pooled beneath him, congealing into dark, jagged shapes that sent a chill down her spine." | | 1 | "She moved, the rhythm of her boots echoing off the walls, filled with purpose as she headed through the opening, the darkness swallowing her whole." | | 2 | "Quinn gritted her teeth, guessing they were the ones who’d dragged the victim here." |
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| 48.08% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 26 | | uselessAdditionCount | 4 | | matches | | 0 | "Quinn’s voice dropped, her instincts prickling" | | 1 | "She stopped, her mind racing" | | 2 | "she whispered, eyes narrowing" | | 3 | "Each word escaped, her voice steady despite wild thoughts clawing within" |
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| 28.05% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 7 | | fancyCount | 5 | | fancyTags | | 0 | "Quinn insisted (insist)" | | 1 | "Mason groaned (groan)" | | 2 | "she whispered (whisper)" | | 3 | "she snapped (snap)" | | 4 | "Quinn murmured (murmur)" |
| | dialogueSentences | 41 | | tagDensity | 0.171 | | leniency | 0.341 | | rawRatio | 0.714 | | effectiveRatio | 0.244 | |