| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 42 | | tagDensity | 0.262 | | leniency | 0.524 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.16% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1445 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "gently" | | 1 | "really" | | 2 | "slowly" |
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| 60.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 20.42% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1445 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "echoed" | | 1 | "shattered" | | 2 | "chill" | | 3 | "etched" | | 4 | "scanned" | | 5 | "trembled" | | 6 | "traced" | | 7 | "pulsed" | | 8 | "quivered" | | 9 | "fractured" | | 10 | "echo" | | 11 | "flicked" | | 12 | "etching" | | 13 | "flicker" | | 14 | "racing" | | 15 | "jaw clenched" | | 16 | "pulse" | | 17 | "silence" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "jaw/fists clenched" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 141 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 0 | | narrationSentences | 141 | | filterMatches | | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 172 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1426 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 14 | | unquotedAttributions | 0 | | matches | (empty) | |
| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 64 | | wordCount | 1154 | | uniqueNames | 10 | | maxNameDensity | 2.43 | | worstName | "Quinn" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Quinn" | | discoveredNames | | Quinn | 28 | | Camden | 1 | | Road | 1 | | Marcus | 1 | | Patel | 28 | | Eva | 1 | | Kowalski | 1 | | Latin | 1 | | Veil | 1 | | Compass | 1 |
| | persons | | 0 | "Quinn" | | 1 | "Marcus" | | 2 | "Patel" | | 3 | "Eva" | | 4 | "Kowalski" | | 5 | "Compass" |
| | places | | | globalScore | 0.287 | | windowScore | 0.167 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 84 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.701 | | wordCount | 1426 | | matches | | 0 | "not just down the tunnel but angling toward the east wall" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 172 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 56 | | mean | 25.46 | | std | 16.05 | | cv | 0.63 | | sampleLengths | | 0 | 58 | | 1 | 9 | | 2 | 28 | | 3 | 44 | | 4 | 14 | | 5 | 39 | | 6 | 6 | | 7 | 7 | | 8 | 23 | | 9 | 14 | | 10 | 41 | | 11 | 44 | | 12 | 47 | | 13 | 8 | | 14 | 36 | | 15 | 25 | | 16 | 31 | | 17 | 8 | | 18 | 29 | | 19 | 23 | | 20 | 33 | | 21 | 22 | | 22 | 13 | | 23 | 30 | | 24 | 10 | | 25 | 11 | | 26 | 6 | | 27 | 47 | | 28 | 32 | | 29 | 7 | | 30 | 18 | | 31 | 11 | | 32 | 25 | | 33 | 9 | | 34 | 51 | | 35 | 5 | | 36 | 38 | | 37 | 45 | | 38 | 10 | | 39 | 43 | | 40 | 4 | | 41 | 52 | | 42 | 41 | | 43 | 47 | | 44 | 5 | | 45 | 25 | | 46 | 6 | | 47 | 56 | | 48 | 10 | | 49 | 29 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 141 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 223 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 2 | | flaggedSentences | 16 | | totalSentences | 172 | | ratio | 0.093 | | matches | | 0 | "She swept her torch across crumbling stalls—splintered wood, shattered glass vials, bundles of bone trinkets discarded like litter." | | 1 | "Patel’s light played across a broken knife blade, its metal etched with something odd—tiny runic shapes." | | 2 | "They reminded her of nothing she’d seen in police files—more like the shapes Eva Kowalski had mentioned in letters about protective wards and old texts." | | 3 | "The surface bore spots of verdigris—someone had carried it here." | | 4 | "Words scrawled in a frantic hand—half Latin, half gibberish." | | 5 | "Quinn studied footprints in the dust—two sets, one large, one small." | | 6 | "She held up the compass; its needle quivered, now pointing not just down the tunnel but angling toward the east wall, where a boarded-up service door sagged." | | 7 | "Faint etchings on the door frame—tiny sigils, the same design she’d seen on the parchment and knife." | | 8 | "She straightened, hand on her watch—an old leather strap worn from years of service." | | 9 | "She clicked on her torch’s second beam—brighter, colder." | | 10 | "They matched the circled ward around the corpse—a portal glyph, inscribed to hold something in place." | | 11 | "She pressed her finger in the dusty groove; the glyph sank out of sight." | | 12 | "Through one, she caught a flicker—shadows flickering inside the mirror, as if a pair of pale eyes watched." | | 13 | "The corpse outside, the knife, the compass—all pointed here." | | 14 | "Someone wanted to cross—and they needed blood to pour through." | | 15 | "A soft click echoed—a new board sealing itself across the niche." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1171 | | adjectiveStacks | 1 | | stackExamples | | 0 | "odd—tiny runic shapes." |
| | adverbCount | 18 | | adverbRatio | 0.015371477369769428 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.0034158838599487617 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 172 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 172 | | mean | 8.29 | | std | 5.47 | | cv | 0.659 | | sampleLengths | | 0 | 20 | | 1 | 11 | | 2 | 18 | | 3 | 9 | | 4 | 9 | | 5 | 7 | | 6 | 21 | | 7 | 5 | | 8 | 16 | | 9 | 7 | | 10 | 16 | | 11 | 9 | | 12 | 5 | | 13 | 2 | | 14 | 17 | | 15 | 7 | | 16 | 3 | | 17 | 10 | | 18 | 4 | | 19 | 2 | | 20 | 2 | | 21 | 5 | | 22 | 5 | | 23 | 12 | | 24 | 6 | | 25 | 5 | | 26 | 9 | | 27 | 4 | | 28 | 12 | | 29 | 25 | | 30 | 10 | | 31 | 4 | | 32 | 13 | | 33 | 17 | | 34 | 10 | | 35 | 5 | | 36 | 10 | | 37 | 12 | | 38 | 10 | | 39 | 4 | | 40 | 4 | | 41 | 3 | | 42 | 13 | | 43 | 11 | | 44 | 9 | | 45 | 20 | | 46 | 5 | | 47 | 7 | | 48 | 9 | | 49 | 7 |
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| 53.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3372093023255814 | | totalSentences | 172 | | uniqueOpeners | 58 | |
| 50.89% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 131 | | matches | | 0 | "Instantly, the floor beneath fizzed," | | 1 | "Then he reached for his" |
| | ratio | 0.015 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 29 | | totalSentences | 131 | | matches | | 0 | "She swept her torch across" | | 1 | "Her arms twisted under her," | | 2 | "She leaned closer, fingertips hovering" | | 3 | "She touched it." | | 4 | "They reminded her of nothing" | | 5 | "She scanned the stalls." | | 6 | "Her torch caught the box’s" | | 7 | "She knelt again, slid her" | | 8 | "She set the compass gently" | | 9 | "She traced the letters with" | | 10 | "She held up the compass;" | | 11 | "She forced calm" | | 12 | "She stepped toward the boarded" | | 13 | "She straightened, hand on her" | | 14 | "She pressed her lips together" | | 15 | "She clicked on her torch’s" | | 16 | "She tapped the lid." | | 17 | "She flicked it open." | | 18 | "She traced the new symbols." | | 19 | "They matched the circled ward" |
| | ratio | 0.221 | |
| 17.25% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 116 | | totalSentences | 131 | | matches | | 0 | "Detective Quinn’s boots echoed on" | | 1 | "A haze of dripping water" | | 2 | "She swept her torch across" | | 3 | "Quinn’s voice snapped through the" | | 4 | "Patel shifted the clipboard in" | | 5 | "Quinn crouched beside the corpse." | | 6 | "A woman in her thirties," | | 7 | "Her arms twisted under her," | | 8 | "Patel’s light played across a" | | 9 | "Patel tapped his pen against" | | 10 | "She leaned closer, fingertips hovering" | | 11 | "The lines curved into an" | | 12 | "She touched it." | | 13 | "Grainy bits clung to her" | | 14 | "Quinn brushed a patch aside." | | 15 | "The floor underneath gleamed damp," | | 16 | "Patel glanced at the stain." | | 17 | "Quinn studied the circle." | | 18 | "The curves met at five" | | 19 | "They reminded her of nothing" |
| | ratio | 0.885 | |
| 76.34% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 131 | | matches | | 0 | "Whoever left it here intended" | | 1 | "Now this stall, these jars," |
| | ratio | 0.015 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 2 | | matches | | 0 | "A woman in her thirties, dark hair plastered to her skull, lips parted as if mid-cry." | | 1 | "Through one, she caught a flicker—shadows flickering inside the mirror, as if a pair of pale eyes watched." |
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| 79.55% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 1 | | matches | | 0 | "Quinn looked, eyes sharp" |
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| 78.57% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 3 | | fancyTags | | 0 | "Quinn’s voice snapped (snap)" | | 1 | "she murmured (murmur)" | | 2 | "Quinn muttered (mutter)" |
| | dialogueSentences | 42 | | tagDensity | 0.119 | | leniency | 0.238 | | rawRatio | 0.6 | | effectiveRatio | 0.143 | |