| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 10 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.526 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 91.87% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1230 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 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) | |
| 26.83% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1230 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "chilling" | | 1 | "reminder" | | 2 | "weight" | | 3 | "silence" | | 4 | "chill" | | 5 | "whisper" | | 6 | "crystalline" | | 7 | "rhythmic" | | 8 | "throb" | | 9 | "tinged" | | 10 | "shimmered" | | 11 | "tracing" | | 12 | "sense of" | | 13 | "crystal" | | 14 | "pulse" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 68 | | matches | (empty) | |
| 37.82% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 4 | | narrationSentences | 68 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 77 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 36 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1226 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 73.08% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1040 | | uniqueNames | 17 | | maxNameDensity | 1.54 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Aurora | 16 | | Isolde | 9 | | Nyx | 5 | | Fae-Forged | 2 | | Blade | 2 | | London | 1 | | Shade | 1 | | Heartstone | 2 | | Pendant | 2 | | Veil | 2 | | Hel | 1 | | Fae | 3 | | Courts | 1 | | Earth | 1 | | Grove | 1 |
| | persons | | 0 | "Aurora" | | 1 | "Isolde" | | 2 | "Nyx" | | 3 | "Blade" | | 4 | "Shade" | | 5 | "Grove" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" |
| | globalScore | 0.731 | | windowScore | 0.833 | |
| 29.03% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 3 | | matches | | 0 | "looked like screaming faces or grasping h" | | 1 | "felt like a memory of a home she had ne" | | 2 | "looked like a shimmering distortion in th" |
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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 | 1226 | | matches | (empty) | |
| 80.09% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 77 | | matches | | 0 | "noticed that the" | | 1 | "knew that whatever" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 42.28 | | std | 21.79 | | cv | 0.515 | | sampleLengths | | 0 | 75 | | 1 | 30 | | 2 | 30 | | 3 | 43 | | 4 | 9 | | 5 | 54 | | 6 | 39 | | 7 | 73 | | 8 | 16 | | 9 | 28 | | 10 | 54 | | 11 | 62 | | 12 | 37 | | 13 | 42 | | 14 | 51 | | 15 | 36 | | 16 | 11 | | 17 | 27 | | 18 | 62 | | 19 | 7 | | 20 | 41 | | 21 | 72 | | 22 | 26 | | 23 | 54 | | 24 | 78 | | 25 | 35 | | 26 | 3 | | 27 | 49 | | 28 | 82 |
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| 89.78% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 68 | | matches | | 0 | "was gnarled" | | 1 | "was replaced" | | 2 | "being erased" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 169 | | matches | | 0 | "were standing" | | 1 | "were speaking" | | 2 | "was walking" | | 3 | "was pulsing" | | 4 | "were tilting" | | 5 | "was starting" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 4 | | flaggedSentences | 8 | | totalSentences | 77 | | ratio | 0.104 | | matches | | 0 | "She didn’t break stride, but as she crossed the threshold, the grey mist didn’t just part—it dissolved." | | 1 | "The contrast made Aurora feel suddenly, acutely heavy—a creature of bone and blood in a place made of dreams." | | 2 | "They didn't follow the light of the golden clouds; instead, they pooled in the hollows of the iridescent flora, shifting and stretching as if they were sentient." | | 3 | "It wasn't the slow, rhythmic beat it usually maintained; it was a frantic, hot throb, vibrating against her skin." | | 4 | "She remembered the lore Isolde had shared—the Veil was the only thing keeping the hunger of Hel and the whims of the Fae Courts from swallowing Earth whole." | | 5 | "Aurora felt a strange distortion in her perception; she looked at her wrist, tracing the small crescent-shaped scar from her childhood, and for a second, the scar seemed to glow with a faint, golden light." | | 6 | "They reached a central spire—a massive, white tree whose branches reached up to pierce the plum-colored sky." | | 7 | "She was no longer just a delivery girl from a flat above a bar; she was a bridge." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1051 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 38 | | adverbRatio | 0.03615604186489058 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.010466222645099905 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 77 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 77 | | mean | 15.92 | | std | 7.71 | | cv | 0.484 | | sampleLengths | | 0 | 21 | | 1 | 26 | | 2 | 28 | | 3 | 10 | | 4 | 20 | | 5 | 17 | | 6 | 13 | | 7 | 16 | | 8 | 20 | | 9 | 7 | | 10 | 9 | | 11 | 8 | | 12 | 17 | | 13 | 6 | | 14 | 23 | | 15 | 4 | | 16 | 20 | | 17 | 15 | | 18 | 25 | | 19 | 23 | | 20 | 25 | | 21 | 16 | | 22 | 17 | | 23 | 11 | | 24 | 6 | | 25 | 19 | | 26 | 10 | | 27 | 19 | | 28 | 12 | | 29 | 15 | | 30 | 8 | | 31 | 27 | | 32 | 7 | | 33 | 19 | | 34 | 11 | | 35 | 16 | | 36 | 12 | | 37 | 14 | | 38 | 30 | | 39 | 21 | | 40 | 11 | | 41 | 6 | | 42 | 19 | | 43 | 7 | | 44 | 4 | | 45 | 6 | | 46 | 7 | | 47 | 14 | | 48 | 15 | | 49 | 19 |
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| 49.35% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.35064935064935066 | | totalSentences | 77 | | uniqueOpeners | 27 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 17 | | totalSentences | 65 | | matches | | 0 | "She didn’t break stride, but" | | 1 | "They were standing in a" | | 2 | "It wasn't a sound, but" | | 3 | "She noticed that the shadows" | | 4 | "They didn't follow the light" | | 5 | "They drifted effortlessly, a smudge" | | 6 | "Her expression was distant, her" | | 7 | "She reached out to touch" | | 8 | "She reached inside her collar" | | 9 | "It wasn't the slow, rhythmic" | | 10 | "She remembered the lore Isolde" | | 11 | "She felt a sudden, overwhelming" | | 12 | "She gripped the Fae-Forged Blade" | | 13 | "They reached a central spire—a" | | 14 | "Its leaves were shards of" | | 15 | "It looked like a shimmering" | | 16 | "She was no longer just" |
| | ratio | 0.262 | |
| 36.92% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 55 | | totalSentences | 65 | | matches | | 0 | "The mist of Richmond Park" | | 1 | "Isolde stopped before a ring" | | 2 | "The bark of the trees" | | 3 | "Isolde murmured, her pale lavender" | | 4 | "Aurora frowned, her hand instinctively" | | 5 | "The moonsilver was ice-cold through" | | 6 | "the seer replied" | | 7 | "Isolde stepped forward, passing between" | | 8 | "She didn’t break stride, but" | | 9 | "Aurora followed, taking a tentative" | | 10 | "The air changed instantly." | | 11 | "The damp chill of London" | | 12 | "Aurora blinked, her bright blue" | | 13 | "They were standing in a" | | 14 | "Flowers the size of dinner" | | 15 | "Aurora whispered, her voice sounding" | | 16 | "Nyx’s voice drifted through the" | | 17 | "Aurora looked down at the" | | 18 | "Isolde was walking ahead of" | | 19 | "The contrast made Aurora feel" |
| | ratio | 0.846 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 11 | | matches | | 0 | "The mist of Richmond Park clung to Aurora’s coat, a damp, grey shroud that smelled of wet earth and old exhaust." | | 1 | "Beside her, Isolde walked with a gliding grace that felt less like stepping and more like drifting, her waist-length silver hair shimmering despite the overcast…" | | 2 | "The bark of the trees was gnarled and blackened, twisted into shapes that looked like screaming faces or grasping hands." | | 3 | "They were standing in a lush, sprawling clearing where the grass was a vibrant, iridescent teal, bowing in a wind that didn’t touch their skin." | | 4 | "Above them, the sky was a deep, bruised plum, swirling with clouds of gold dust that drifted like slow-motion currents in an ocean." | | 5 | "They didn't follow the light of the golden clouds; instead, they pooled in the hollows of the iridescent flora, shifting and stretching as if they were sentient…" | | 6 | "The Shade’s form expanded, their edges blurring into the surrounding darkness, merging with the living shadows of the grove." | | 7 | "Aurora stopped by a crystalline stream that flowed upward, the water defying gravity to loop in shimmering ribbons through the air before crashing back into a p…" | | 8 | "She felt a sudden, overwhelming sense of vertigo, as if the ground were tilting." | | 9 | "Through the ripple, she caught a glimpse of something else: a sky of warm amber and the distant, sprawling silhouettes of vineyards that stretched forever." | | 10 | "Aurora stared into the amber haze, feeling a pull in her gut that mirrored the pulse of the stone." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 10 | | uselessAdditionCount | 2 | | matches | | 0 | "Aurora said, her voice tight" | | 1 | "Isolde confirmed, her voice devoid of its usual riddle" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 9 | | fancyCount | 5 | | fancyTags | | 0 | "Isolde murmured (murmur)" | | 1 | "Aurora whispered (whisper)" | | 2 | "Nyx warned (warn)" | | 3 | "she whispered (whisper)" | | 4 | "Isolde confirmed (confirm)" |
| | dialogueSentences | 19 | | tagDensity | 0.474 | | leniency | 0.947 | | rawRatio | 0.556 | | effectiveRatio | 0.526 | |