| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.231 | | leniency | 0.462 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 76.68% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1072 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "slightly" | | 1 | "truly" | | 2 | "lazily" | | 3 | "utterly" |
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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 | 1072 | | totalAiIsms | 27 | | 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 | |
| | highlights | | 0 | "fractured" | | 1 | "unwavering" | | 2 | "familiar" | | 3 | "pulsed" | | 4 | "whisper" | | 5 | "scanned" | | 6 | "dancing" | | 7 | "vibrated" | | 8 | "stark" | | 9 | "oppressive" | | 10 | "warmth" | | 11 | "predator" | | 12 | "sense of" | | 13 | "profound" | | 14 | "desire" | | 15 | "chill" | | 16 | "symphony" | | 17 | "intricate" | | 18 | "glistening" | | 19 | "shimmered" | | 20 | "crystalline" | | 21 | "velvet" | | 22 | "perfect" | | 23 | "pristine" |
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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 | 75 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 82 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 32 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1064 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 20 | | wordCount | 996 | | uniqueNames | 6 | | maxNameDensity | 0.8 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Nyx" | | discoveredNames | | Fae-forged | 1 | | Nyx | 7 | | Heartstone | 1 | | Aurora | 8 | | Fae | 2 | | Fe-forged | 1 |
| | persons | | 0 | "Nyx" | | 1 | "Heartstone" | | 2 | "Aurora" |
| | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 2.94% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 4 | | matches | | 0 | "looked like crystallised fire, casting da" | | 1 | "felt like a piece of winter, a stark co" | | 2 | "tone that seemed to pull at a place deep in her chest" | | 3 | "something like a flute, but with a breathy," | | 4 | "looked like bone, stretched for at least" |
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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 | 1064 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 82 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 22 | | mean | 48.36 | | std | 29.13 | | cv | 0.602 | | sampleLengths | | 0 | 64 | | 1 | 67 | | 2 | 46 | | 3 | 36 | | 4 | 23 | | 5 | 88 | | 6 | 44 | | 7 | 20 | | 8 | 88 | | 9 | 25 | | 10 | 9 | | 11 | 10 | | 12 | 31 | | 13 | 87 | | 14 | 25 | | 15 | 26 | | 16 | 55 | | 17 | 29 | | 18 | 69 | | 19 | 22 | | 20 | 104 | | 21 | 96 |
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| 95.91% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 75 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 142 | | matches | (empty) | |
| 38.33% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 2 | | flaggedSentences | 3 | | totalSentences | 82 | | ratio | 0.037 | | matches | | 0 | "Beneath her boots, the ground wasn't soil; it was a dark, impossibly rich loam that puffed with each step, releasing a scent of spice and fermentation." | | 1 | "Some were globes of pale blue that pulsed rhythmically; others were clusters of what looked like crystallised fire, casting dancing shadows on the ground." | | 2 | "It was a melody, played on an instrument she couldn't name—something like a flute, but with a breathy, sorrowful tone that seemed to pull at a place deep in her chest." |
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| 82.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1004 | | adjectiveStacks | 3 | | stackExamples | | 0 | "slow-moving, viscous fluid" | | 1 | "Polished, fist-sized stones" | | 2 | "profound lethargy washed over Aurora," |
| | adverbCount | 30 | | adverbRatio | 0.029880478087649404 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.013944223107569721 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 82 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 82 | | mean | 12.98 | | std | 6.51 | | cv | 0.502 | | sampleLengths | | 0 | 10 | | 1 | 12 | | 2 | 16 | | 3 | 16 | | 4 | 10 | | 5 | 10 | | 6 | 20 | | 7 | 11 | | 8 | 26 | | 9 | 15 | | 10 | 19 | | 11 | 12 | | 12 | 14 | | 13 | 22 | | 14 | 19 | | 15 | 4 | | 16 | 4 | | 17 | 9 | | 18 | 20 | | 19 | 24 | | 20 | 20 | | 21 | 5 | | 22 | 6 | | 23 | 12 | | 24 | 15 | | 25 | 11 | | 26 | 6 | | 27 | 13 | | 28 | 7 | | 29 | 13 | | 30 | 14 | | 31 | 28 | | 32 | 15 | | 33 | 18 | | 34 | 21 | | 35 | 4 | | 36 | 9 | | 37 | 5 | | 38 | 5 | | 39 | 20 | | 40 | 11 | | 41 | 14 | | 42 | 10 | | 43 | 21 | | 44 | 13 | | 45 | 25 | | 46 | 4 | | 47 | 7 | | 48 | 13 | | 49 | 5 |
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| 69.92% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4634146341463415 | | totalSentences | 82 | | uniqueOpeners | 38 | |
| 44.44% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 75 | | matches | | 0 | "Just a perfect, pristine, and" |
| | ratio | 0.013 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 75 | | matches | | 0 | "She sucked in a breath" | | 1 | "It was a solid vault" | | 2 | "They stood at the edge" | | 3 | "It was beautiful, obscenely so." | | 4 | "She took a step forward," | | 5 | "Its surface was warm, like" | | 6 | "They moved deeper into the" | | 7 | "They seemed to recoil slightly" | | 8 | "She snatched her hand back." | | 9 | "They came to a clearing" | | 10 | "It was a slow-moving, viscous" | | 11 | "Her eyelids felt heavy." | | 12 | "She shook her head, the" | | 13 | "It was a melody, played" | | 14 | "It came from deeper within" | | 15 | "They moved through weeping trees" | | 16 | "They crested a low, mossy" | | 17 | "It was laden with a" |
| | ratio | 0.24 | |
| 40.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 63 | | totalSentences | 75 | | matches | | 0 | "The world fractured for a" | | 1 | "Aurora stumbled forward, her hand" | | 2 | "The air, heavy and sweet," | | 3 | "She sucked in a breath" | | 4 | "It was a solid vault" | | 5 | "The ambient light failed to" | | 6 | "The faint violet of their" | | 7 | "Aurora's voice was a low" | | 8 | "The Heartstone, tucked beneath her" | | 9 | "Nyx’s whisper slid through the" | | 10 | "Aurora scanned their surroundings." | | 11 | "They stood at the edge" | | 12 | "Trees with bark like polished" | | 13 | "Some were globes of pale" | | 14 | "A low hum vibrated through" | | 15 | "It was beautiful, obscenely so." | | 16 | "A masterpiece painted by a" | | 17 | "She took a step forward," | | 18 | "The blade felt like a" | | 19 | "A broad, waxy leaf brushed" |
| | ratio | 0.84 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 49 | | technicalSentenceCount | 11 | | matches | | 0 | "It was a solid vault of warm amber, a colossal jewel that bathed the landscape in a permanent, golden dusk." | | 1 | "Beneath her boots, the ground wasn't soil; it was a dark, impossibly rich loam that puffed with each step, releasing a scent of spice and fermentation." | | 2 | "The Heartstone, tucked beneath her shirt, pulsed against her skin, a slow, warm thrum that matched a heartbeat she did not own." | | 3 | "Trees with bark like polished silver twisted towards the amber sky, their branches heavy with fruits that bled soft light." | | 4 | "A low hum vibrated through the soles of her boots, a deep thrumming of life that felt ancient and ravenous." | | 5 | "Scents tangled together: roasted nuts, caramelising sugar, a sharp, wine-like tang, and underneath it all, a musky, animalistic smell that made the hairs on her…" | | 6 | "Aurora reached out, her fingers hovering an inch from a pear-shaped fruit that glowed with a core of soft rose light." | | 7 | "It was a melody, played on an instrument she couldn't name—something like a flute, but with a breathy, sorrowful tone that seemed to pull at a place deep in her…" | | 8 | "A single, impossibly long table, carved from a single piece of white wood that looked like bone, stretched for at least a hundred yards." | | 9 | "Golden platters overflowed with roasted beasts she could not identify, their skins glistening with sauces that shimmered like liquid gems." | | 10 | "Just a perfect, pristine, and utterly silent banquet waiting for diners who would never arrive." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 2 | | matches | | 0 | "Nyx’s whisper slid, a sliver of ice in a steam room" | | 1 | "Nyx answered, their violet eyes fixed on the path ahead" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 13 | | tagDensity | 0.077 | | leniency | 0.154 | | rawRatio | 0 | | effectiveRatio | 0 | |