| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 86.24% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1454 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "slightly" | | 2 | "completely" |
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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 | 1454 | | totalAiIsms | 32 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | | | 22 | | | 23 | | | 24 | | | 25 | |
| | highlights | | 0 | "fractured" | | 1 | "porcelain" | | 2 | "rhythmic" | | 3 | "throb" | | 4 | "pulse" | | 5 | "velvet" | | 6 | "navigating" | | 7 | "silence" | | 8 | "weight" | | 9 | "measured" | | 10 | "flicker" | | 11 | "echo" | | 12 | "shattered" | | 13 | "warmth" | | 14 | "trembled" | | 15 | "synchronized" | | 16 | "tracing" | | 17 | "variables" | | 18 | "resolving" | | 19 | "footsteps" | | 20 | "throbbed" | | 21 | "constructed" | | 22 | "calculated" | | 23 | "absolutely" | | 24 | "chill" | | 25 | "vibrated" |
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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 | 168 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 168 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 169 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 43 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 11 | | totalWords | 1448 | | ratio | 0.008 | | matches | | 0 | "Eva: Found your tag. You alright?" | | 1 | "Fine. Taking the scenic route." |
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| 41.67% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 1 | | matches | | 0 | "Instead, she maintained her gaze on the midpoint between the eastern markers, where the atmospheric shimmer peaked." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 1440 | | uniqueNames | 9 | | maxNameDensity | 0.76 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Heartstone | 3 | | Hel | 1 | | November | 2 | | Evan | 1 | | Found | 1 | | Aurora | 11 | | Dew | 3 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Heartstone" |
| | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 89 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 61.88% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.381 | | wordCount | 1448 | | matches | | 0 | "not empty but expectant, like a held breath" | | 1 | "not a pair of eyes, but a mass, dense" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 169 | | matches | | |
| 91.23% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 17 | | mean | 85.18 | | std | 39.97 | | cv | 0.469 | | sampleLengths | | 0 | 132 | | 1 | 125 | | 2 | 96 | | 3 | 108 | | 4 | 97 | | 5 | 108 | | 6 | 116 | | 7 | 116 | | 8 | 62 | | 9 | 10 | | 10 | 124 | | 11 | 91 | | 12 | 102 | | 13 | 20 | | 14 | 43 | | 15 | 7 | | 16 | 91 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 168 | | matches | (empty) | |
| 73.74% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 264 | | matches | | 0 | "was already warming" | | 1 | "were testing" | | 2 | "was dropping" | | 3 | "was gathering" | | 4 | "was practically resonating" |
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| 58.33% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 6 | | semicolonCount | 0 | | flaggedSentences | 5 | | totalSentences | 169 | | ratio | 0.03 | | matches | | 0 | "Wildflowers carpeted the ground in violent, saturated hues—bluebells, foxgloves, pale poppies, clusters of white blossoms that shouldn’t survive a November frost." | | 1 | "The periphery of her vision caught a flicker—a dark elongation detaching itself from the base of a birch, sliding sideways into deeper shadow." | | 2 | "She registered the presence then—not a pair of eyes, but a mass, dense and patient, settling against the base of her spine like a physical weight." | | 3 | "Each step extracted a toll—a sliver of equilibrium, a frayed thread of certainty—but her cognitive apparatus remained operational, logging trajectory, noting friction points, preserving the exit vector." | | 4 | "How do you encode that duration is malleable, that silence carries mass, that the periphery of perception doesn’t merely witness—it archives?" |
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| 80.97% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1457 | | adjectiveStacks | 3 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "over sun-baked asphalt," | | 2 | "dense acoustic dead zone." |
| | adverbCount | 60 | | adverbRatio | 0.04118050789293068 | | lyAdverbCount | 25 | | lyAdverbRatio | 0.017158544955387784 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 169 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 169 | | mean | 8.57 | | std | 6.92 | | cv | 0.808 | | sampleLengths | | 0 | 23 | | 1 | 8 | | 2 | 20 | | 3 | 10 | | 4 | 18 | | 5 | 41 | | 6 | 8 | | 7 | 3 | | 8 | 1 | | 9 | 9 | | 10 | 18 | | 11 | 21 | | 12 | 14 | | 13 | 5 | | 14 | 17 | | 15 | 4 | | 16 | 3 | | 17 | 11 | | 18 | 7 | | 19 | 3 | | 20 | 13 | | 21 | 5 | | 22 | 2 | | 23 | 2 | | 24 | 11 | | 25 | 7 | | 26 | 4 | | 27 | 12 | | 28 | 16 | | 29 | 2 | | 30 | 3 | | 31 | 14 | | 32 | 10 | | 33 | 6 | | 34 | 2 | | 35 | 5 | | 36 | 23 | | 37 | 5 | | 38 | 12 | | 39 | 2 | | 40 | 18 | | 41 | 11 | | 42 | 12 | | 43 | 4 | | 44 | 16 | | 45 | 4 | | 46 | 13 | | 47 | 5 | | 48 | 5 | | 49 | 9 |
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| 64.30% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 13 | | diversityRatio | 0.4319526627218935 | | totalSentences | 169 | | uniqueOpeners | 73 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 8 | | totalSentences | 141 | | matches | | 0 | "Then came the first sound." | | 1 | "Just bark, just lichen, just" | | 2 | "Instead, the same bruised indigo" | | 3 | "More like the acoustic memory" | | 4 | "Only the flowers, only the" | | 5 | "Instead, she maintained her gaze" | | 6 | "Exactly three paces behind her" | | 7 | "Backward glances invited continuation." |
| | ratio | 0.057 | |
| 98.01% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 43 | | totalSentences | 141 | | matches | | 0 | "She paused, fingers brushing the" | | 1 | "She had tracked it here" | | 2 | "It carried the cloying sweetness" | | 3 | "They bloomed in thick, velvet" | | 4 | "She flexed it." | | 5 | "It originated behind the easternmost" | | 6 | "Her bright blue irises reflected" | | 7 | "She shifted her weight, listening" | | 8 | "She filed it away: settling" | | 9 | "She turned her head slowly." | | 10 | "She kept moving forward, boots" | | 11 | "She checked her watch." | | 12 | "She pulled out her phone." | | 13 | "She tapped the clock." | | 14 | "She buried it." | | 15 | "It wasn’t melody." | | 16 | "It was phonemes stripped of" | | 17 | "She spun, shoulders tense, posture" | | 18 | "It tasted of ozone, petrichor," | | 19 | "She saw the movement again." |
| | ratio | 0.305 | |
| 77.02% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 108 | | totalSentences | 141 | | matches | | 0 | "Aurora stepped between the twin" | | 1 | "The boundary stones had swallowed" | | 2 | "She paused, fingers brushing the" | | 3 | "The Heartstone’s crimson face was" | | 4 | "She had tracked it here" | | 5 | "A Hel portal." | | 6 | "The clearing didn’t smell like" | | 7 | "It carried the cloying sweetness" | | 8 | "Wildflowers carpeted the ground in" | | 9 | "They bloomed in thick, velvet" | | 10 | "Aurora noted it without flinching." | | 11 | "Years of navigating rooms where" | | 12 | "Logic was a muscle." | | 13 | "She flexed it." | | 14 | "Temperature had dropped at least" | | 15 | "The canopy overhead showed zero" | | 16 | "Branches hung rigid." | | 17 | "A drag, slow and deliberate," | | 18 | "It originated behind the easternmost" | | 19 | "Aurora froze, eyes narrowing." |
| | ratio | 0.766 | |
| 70.92% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 141 | | matches | | 0 | "Now, the pendant pushed harder" | | 1 | "If something observed her, it" |
| | ratio | 0.014 | |
| 96.77% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 62 | | technicalSentenceCount | 4 | | matches | | 0 | "Aurora stepped between the twin trunks of the ancient oaks, their bark split into deep fissures that caught the moonlight like fractured porcelain." | | 1 | "The Heartstone’s crimson face was already warming against her sternum, a dull, rhythmic throb that matched her pulse." | | 2 | "Wildflowers carpeted the ground in violent, saturated hues—bluebells, foxgloves, pale poppies, clusters of white blossoms that shouldn’t survive a November fros…" | | 3 | "The hum deepened, resolving into a sustained tonal frequency that made her jaw ache." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |