| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 15 | | adverbTagCount | 2 | | adverbTags | | 0 | "she said flatly [flatly]" | | 1 | "Tomás said sharply [sharply]" |
| | dialogueSentences | 42 | | tagDensity | 0.357 | | leniency | 0.714 | | rawRatio | 0.133 | | effectiveRatio | 0.095 | |
| 86.56% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1116 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "cautiously" | | 1 | "sharply" | | 2 | "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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1116 | | totalAiIsms | 23 | | found | | | highlights | | 0 | "footsteps" | | 1 | "echoed" | | 2 | "raced" | | 3 | "pounding" | | 4 | "scanned" | | 5 | "glint" | | 6 | "scanning" | | 7 | "quickened" | | 8 | "silence" | | 9 | "warmth" | | 10 | "pulsed" | | 11 | "eyebrow" | | 12 | "sense of" | | 13 | "etched" | | 14 | "tracing" | | 15 | "racing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
| | 1 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | 0 | "heart pounded in her chest" | | 1 | "sent a shiver down" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 92 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 92 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 119 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1108 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 20 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 34 | | wordCount | 886 | | uniqueNames | 9 | | maxNameDensity | 2.03 | | worstName | "Quinn" | | maxWindowNameDensity | 4 | | worstWindowName | "Tomás" | | discoveredNames | | Harlow | 1 | | Quinn | 18 | | Met | 1 | | Tube | 1 | | Veil | 1 | | Market | 1 | | Saint | 1 | | Christopher | 1 | | Tomás | 9 |
| | persons | | 0 | "Harlow" | | 1 | "Quinn" | | 2 | "Saint" | | 3 | "Christopher" | | 4 | "Tomás" |
| | places | (empty) | | globalScore | 0.484 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 66 | | 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 | 1108 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 119 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 65 | | mean | 17.05 | | std | 11.93 | | cv | 0.7 | | sampleLengths | | 0 | 42 | | 1 | 14 | | 2 | 48 | | 3 | 30 | | 4 | 35 | | 5 | 18 | | 6 | 15 | | 7 | 43 | | 8 | 30 | | 9 | 3 | | 10 | 40 | | 11 | 44 | | 12 | 4 | | 13 | 26 | | 14 | 16 | | 15 | 8 | | 16 | 15 | | 17 | 47 | | 18 | 35 | | 19 | 33 | | 20 | 18 | | 21 | 7 | | 22 | 31 | | 23 | 8 | | 24 | 13 | | 25 | 15 | | 26 | 16 | | 27 | 3 | | 28 | 13 | | 29 | 23 | | 30 | 9 | | 31 | 7 | | 32 | 15 | | 33 | 3 | | 34 | 9 | | 35 | 10 | | 36 | 8 | | 37 | 15 | | 38 | 27 | | 39 | 9 | | 40 | 17 | | 41 | 19 | | 42 | 6 | | 43 | 6 | | 44 | 9 | | 45 | 16 | | 46 | 25 | | 47 | 7 | | 48 | 8 | | 49 | 13 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 92 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 164 | | matches | | 0 | "was slipping" | | 1 | "was sprinting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 119 | | ratio | 0.059 | | matches | | 0 | "At the bottom, the stairwell opened into a cavernous space—an abandoned Tube station, its platform swallowed by shadows." | | 1 | "She’d heard rumors about this place—a shadowy black market for the city’s supernatural underworld." | | 2 | "Her torchlight caught a glimpse of movement near the far end of the market—a flash of the suspect’s coat disappearing down another tunnel." | | 3 | "She knelt, her torchlight revealing a small medallion—Saint Christopher, the patron saint of travelers." | | 4 | "Her torchlight caught something on the wall—a symbol etched into the stone." | | 5 | "A sound echoed through the tunnel—a low, guttural growl that sent a shiver down Quinn’s spine." | | 6 | "Before she could respond, a scream echoed through the tunnels—sharp and piercing." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 894 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 23 | | adverbRatio | 0.025727069351230425 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.016778523489932886 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 119 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 119 | | mean | 9.31 | | std | 5.12 | | cv | 0.549 | | sampleLengths | | 0 | 17 | | 1 | 25 | | 2 | 14 | | 3 | 4 | | 4 | 8 | | 5 | 14 | | 6 | 22 | | 7 | 13 | | 8 | 12 | | 9 | 5 | | 10 | 2 | | 11 | 13 | | 12 | 12 | | 13 | 8 | | 14 | 18 | | 15 | 9 | | 16 | 6 | | 17 | 10 | | 18 | 15 | | 19 | 18 | | 20 | 7 | | 21 | 12 | | 22 | 11 | | 23 | 3 | | 24 | 12 | | 25 | 11 | | 26 | 3 | | 27 | 14 | | 28 | 20 | | 29 | 24 | | 30 | 4 | | 31 | 11 | | 32 | 15 | | 33 | 12 | | 34 | 4 | | 35 | 8 | | 36 | 7 | | 37 | 8 | | 38 | 12 | | 39 | 12 | | 40 | 23 | | 41 | 10 | | 42 | 15 | | 43 | 10 | | 44 | 9 | | 45 | 14 | | 46 | 10 | | 47 | 5 | | 48 | 13 | | 49 | 7 |
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| 66.11% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4117647058823529 | | totalSentences | 119 | | uniqueOpeners | 49 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 87 | | matches | (empty) | | ratio | 0 | |
| 54.48% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 87 | | matches | | 0 | "she barked, her voice sharp" | | 1 | "They twisted left, disappearing into" | | 2 | "She rounded the corner, her" | | 3 | "She shoved it open, her" | | 4 | "She thumbed the radio clipped" | | 5 | "She descended the stairs, her" | | 6 | "Her light caught movement to" | | 7 | "She’d heard rumors about this" | | 8 | "Her eyes scanned the scene:" | | 9 | "She moved cautiously, the torchlight" | | 10 | "She ignored them, scanning the" | | 11 | "Her torchlight caught a glimpse" | | 12 | "She paused, listening for footsteps," | | 13 | "She knelt, her torchlight revealing" | | 14 | "She picked it up, turning" | | 15 | "He had dark, curly hair" | | 16 | "His eyes glinted with amusement." | | 17 | "he asked, nodding to the" | | 18 | "He pushed off the wall," | | 19 | "Her radio crackled again, the" |
| | ratio | 0.414 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 82 | | totalSentences | 87 | | matches | | 0 | "The suspect’s boots splashed through" | | 1 | "Detective Harlow Quinn adjusted her" | | 2 | "she barked, her voice sharp" | | 3 | "The figure didn’t slow." | | 4 | "They twisted left, disappearing into" | | 5 | "Quinn’s heart pounded in her" | | 6 | "She rounded the corner, her" | | 7 | "She shoved it open, her" | | 8 | "The smell of damp concrete" | | 9 | "Footsteps echoed faintly from below." | | 10 | "She thumbed the radio clipped" | | 11 | "The crackling reply was barely" | | 12 | "She descended the stairs, her" | | 13 | "The air grew colder, heavier," | | 14 | "Her light caught movement to" | | 15 | "The suspect was sprinting along" | | 16 | "Quinn raced after them, her" | | 17 | "The suspect hurdled over a" | | 18 | "Quinn followed, her torchlight revealing" | | 19 | "The Veil Market." |
| | ratio | 0.943 | |
| 57.47% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 87 | | matches | | 0 | "Before she could respond, a" |
| | ratio | 0.011 | |
| 76.41% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 43 | | technicalSentenceCount | 4 | | matches | | 0 | "She rounded the corner, her boots slipping on the slick pavement, and found herself staring at a rusted metal door swinging shut." | | 1 | "She shoved it open, her torchlight revealing a crumbling stairwell descending into darkness." | | 2 | "The suspect was sprinting along the platform, their coat billowing behind them." | | 3 | "They moved deeper into the maze, the tunnels narrowing and twisting in ways that made Quinn’s sense of direction falter." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 15 | | uselessAdditionCount | 6 | | matches | | 0 | "she barked, her voice sharp enough to cut through the chaos" | | 1 | "Quinn said, her tone clipped" | | 2 | "Quinn said, her gaze flicking to the scar on his arm" | | 3 | "she asked, her voice low" | | 4 | "Tomás said, his grip tightening" | | 5 | "she said, her voice cold" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 2 | | fancyTags | | 0 | "she barked (bark)" | | 1 | "Quinn whispered (whisper)" |
| | dialogueSentences | 42 | | tagDensity | 0.31 | | leniency | 0.619 | | rawRatio | 0.154 | | effectiveRatio | 0.095 | |