| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 96.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1270 | | totalAiIsmAdverbs | 1 | | 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) | |
| 1.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1270 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | |
| | highlights | | 0 | "loomed" | | 1 | "pulsed" | | 2 | "rhythmic" | | 3 | "pulse" | | 4 | "tracing" | | 5 | "warmth" | | 6 | "calculated" | | 7 | "sense of" | | 8 | "scanning" | | 9 | "predator" | | 10 | "raced" | | 11 | "calculating" | | 12 | "whisper" | | 13 | "lilt" | | 14 | "resonance" | | 15 | "silence" | | 16 | "flicker" | | 17 | "weight" | | 18 | "gloom" | | 19 | "comforting" | | 20 | "familiar" |
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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 | 1 | | narrationSentences | 84 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 84 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 84 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 52 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1262 | | ratio | 0.001 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 1257 | | uniqueNames | 12 | | maxNameDensity | 0.48 | | worstName | "Rory" | | maxWindowNameDensity | 1 | | worstWindowName | "Grove" | | discoveredNames | | Richmond | 2 | | Park | 2 | | London | 3 | | Fae | 1 | | Grove | 4 | | Cardiff | 1 | | Heartstone | 4 | | Evan | 1 | | Welsh | 1 | | Golden | 1 | | Empress | 1 | | Rory | 6 |
| | persons | | 0 | "Heartstone" | | 1 | "Evan" | | 2 | "Rory" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "London" | | 3 | "Fae" | | 4 | "Grove" | | 5 | "Cardiff" | | 6 | "Golden" |
| | globalScore | 1 | | windowScore | 1 | |
| 5.07% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 69 | | glossingSentenceCount | 4 | | matches | | 0 | "felt like they were closing in" | | 1 | "yellows that seemed to drain the color from the rest of the world" | | 2 | "felt like a borrowed coat—but the Grove" | | 3 | "sounded like the friction of dry leaves sk" |
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| 41.52% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.585 | | wordCount | 1262 | | matches | | 0 | "not the dry, brittle sound of deadwood, but the sickening, meaty crunch of a limb being crushed" | | 1 | "not by walking, but by folding through the space between the trees, a flicker of" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 84 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 48.54 | | std | 27.55 | | cv | 0.568 | | sampleLengths | | 0 | 76 | | 1 | 69 | | 2 | 76 | | 3 | 4 | | 4 | 69 | | 5 | 13 | | 6 | 93 | | 7 | 52 | | 8 | 83 | | 9 | 55 | | 10 | 11 | | 11 | 34 | | 12 | 60 | | 13 | 22 | | 14 | 46 | | 15 | 31 | | 16 | 55 | | 17 | 65 | | 18 | 45 | | 19 | 68 | | 20 | 2 | | 21 | 37 | | 22 | 1 | | 23 | 43 | | 24 | 50 | | 25 | 102 |
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| 96.91% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 84 | | matches | | 0 | "being pulled" | | 1 | "was gone" |
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| 35.80% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 5 | | totalVerbs | 203 | | matches | | 0 | "were closing" | | 1 | "was signaling" | | 2 | "was warning" | | 3 | "wasn't offering" | | 4 | "was offering" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 8 | | semicolonCount | 4 | | flaggedSentences | 9 | | totalSentences | 84 | | ratio | 0.107 | | matches | | 0 | "It didn’t drift or swirl; it clung to the grass like a damp, suffocating wool blanket, silencing the distant hum of the city." | | 1 | "A branch snapped—not the dry, brittle sound of deadwood, but the sickening, meaty crunch of a limb being crushed." | | 2 | "She didn’t look directly at the movement; she kept her eyes soft, scanning the shifting darkness at the edge of the grove." | | 3 | "She had been looking for answers—something to explain the way her life in London felt like a borrowed coat—but the Grove wasn't offering answers tonight." | | 4 | "It didn’t sound like words; it sounded like the friction of dry leaves skittering across pavement." | | 5 | "She didn't look back; she sprinted toward the perimeter of the standing stones, her lungs burning, the weight of the Heartstone bouncing rhythmically against her sternum, burning hot enough to blister." | | 6 | "Something reached out from the gloom—a pale, elongated limb with too many joints—and brushed the back of her jacket." | | 7 | "She saw it—a shimmering, translucent rift in the air behind the stones, a swirling gate to somewhere else, somewhere hungry." | | 8 | "She lay on the damp grass of Richmond Park, the sound of distant traffic—a faint, comforting drone of tires on asphalt—trickling back into her ears." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1272 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 34 | | adverbRatio | 0.026729559748427674 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.008647798742138365 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 84 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 84 | | mean | 15.02 | | std | 8.7 | | cv | 0.579 | | sampleLengths | | 0 | 12 | | 1 | 23 | | 2 | 20 | | 3 | 21 | | 4 | 5 | | 5 | 27 | | 6 | 6 | | 7 | 31 | | 8 | 36 | | 9 | 12 | | 10 | 16 | | 11 | 12 | | 12 | 4 | | 13 | 28 | | 14 | 21 | | 15 | 20 | | 16 | 3 | | 17 | 10 | | 18 | 24 | | 19 | 13 | | 20 | 1 | | 21 | 19 | | 22 | 9 | | 23 | 5 | | 24 | 22 | | 25 | 11 | | 26 | 8 | | 27 | 14 | | 28 | 19 | | 29 | 8 | | 30 | 22 | | 31 | 21 | | 32 | 15 | | 33 | 17 | | 34 | 9 | | 35 | 19 | | 36 | 20 | | 37 | 7 | | 38 | 11 | | 39 | 4 | | 40 | 25 | | 41 | 5 | | 42 | 3 | | 43 | 15 | | 44 | 18 | | 45 | 24 | | 46 | 5 | | 47 | 16 | | 48 | 1 | | 49 | 24 |
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| 30.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 16 | | diversityRatio | 0.25 | | totalSentences | 84 | | uniqueOpeners | 21 | |
| 83.33% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 80 | | matches | | 0 | "Just the shifting shadows of" | | 1 | "Instead, she backed toward the" |
| | ratio | 0.025 | |
| 40.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 36 | | totalSentences | 80 | | matches | | 0 | "It didn’t drift or swirl;" | | 1 | "She stopped at the boundary." | | 2 | "She had been here three" | | 3 | "She looked down at her" | | 4 | "It was mid-October, yet the" | | 5 | "She pushed aside a low-hanging" | | 6 | "She wasn't alone." | | 7 | "She knew it with the" | | 8 | "She exhaled a ragged breath," | | 9 | "She had to stay cool-headed." | | 10 | "She moved forward, the grass" | | 11 | "She didn’t look directly at" | | 12 | "It was too tall, its" | | 13 | "It didn’t have a face," | | 14 | "She backed away, her heel" | | 15 | "It was warning her of" | | 16 | "She shouldn’t have come." | | 17 | "She had been looking for" | | 18 | "It was offering a tomb." | | 19 | "Her mind raced, cataloging exits," |
| | ratio | 0.45 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 74 | | totalSentences | 80 | | matches | | 0 | "The mist in Richmond Park" | | 1 | "It didn’t drift or swirl;" | | 2 | "Aurora walked with her hands" | | 3 | "The path narrowed, the manicured" | | 4 | "She stopped at the boundary." | | 5 | "The ancient oak standing stones" | | 6 | "Rory’s pulse hammered against her" | | 7 | "She had been here three" | | 8 | "She looked down at her" | | 9 | "The silver chain of the" | | 10 | "The crimson stone beneath her" | | 11 | "The Grove was wrong." | | 12 | "It was mid-October, yet the" | | 13 | "Flowers bloomed in the darkness," | | 14 | "She pushed aside a low-hanging" | | 15 | "She wasn't alone." | | 16 | "She knew it with the" | | 17 | "The sound started as a" | | 18 | "Rory froze, her bright blue" | | 19 | "She exhaled a ragged breath," |
| | ratio | 0.925 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 80 | | matches | (empty) | | ratio | 0 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 60 | | technicalSentenceCount | 10 | | matches | | 0 | "The path narrowed, the manicured park trails dissolving into the gnarled, unkempt undergrowth that signaled the approach to the Fae Grove." | | 1 | "It was mid-October, yet the air smelled of heavy, rotting jasmine and crushed lilies, a cloying sweetness that coated the back of her throat and tasted of decay…" | | 2 | "She pushed aside a low-hanging branch of a willow that felt less like bark and more like cold, wet muscle." | | 3 | "Just the shifting shadows of the trees, which seemed to lean inward, stretching their branches like spindly, grasping fingers." | | 4 | "The Heartstone flared against her skin, a sudden, blinding heat that sent a jolt of adrenaline through her veins." | | 5 | "Her name, spoken in a voice that held the cadence of her mother’s Welsh lilt, yet possessed the cold, hollow resonance of a cave." | | 6 | "The shadow surged forward, not by walking, but by folding through the space between the trees, a flicker of darkness that blurred the reality of her surrounding…" | | 7 | "She didn't look back; she sprinted toward the perimeter of the standing stones, her lungs burning, the weight of the Heartstone bouncing rhythmically against he…" | | 8 | "The feeling of being watched intensified, a psychic pressure that made her teeth ache." | | 9 | "She stood, brushing the dirt from her trousers, her knees trembling so violently she nearly collapsed." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, her voice steady, though it lacked the strength she intended" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 1 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |