| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.545 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1031 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1031 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | |
| | highlights | | 0 | "pulsed" | | 1 | "shimmered" | | 2 | "familiar" | | 3 | "kaleidoscope" | | 4 | "comforting" | | 5 | "weight" | | 6 | "perfect" | | 7 | "cascading" | | 8 | "silk" | | 9 | "fractured" | | 10 | "echoes" | | 11 | "pulse" | | 12 | "echoed" | | 13 | "throbbed" | | 14 | "silence" | | 15 | "etched" | | 16 | "flickered" | | 17 | "stomach" | | 18 | "trembled" | | 19 | "sinister" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "stomach dropped/sank" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 83 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 83 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 94 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 25 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1005 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 57.41% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 54 | | wordCount | 864 | | uniqueNames | 14 | | maxNameDensity | 1.85 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 3 | | Rory | 3 | | Richmond | 1 | | Park | 1 | | Celtic | 1 | | Wildflowers | 1 | | Aurora | 16 | | Isolde | 4 | | Seer | 1 | | Nyx | 9 | | Eva | 8 | | Grove | 2 | | Fae | 3 | | Wardens | 1 |
| | persons | | 0 | "Heartstone" | | 1 | "Rory" | | 2 | "Wildflowers" | | 3 | "Aurora" | | 4 | "Isolde" | | 5 | "Seer" | | 6 | "Nyx" | | 7 | "Eva" | | 8 | "Wardens" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Grove" |
| | globalScore | 0.574 | | windowScore | 0.667 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 68 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1005 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 94 | | matches | (empty) | |
| 87.63% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 32.42 | | std | 14.81 | | cv | 0.457 | | sampleLengths | | 0 | 46 | | 1 | 46 | | 2 | 45 | | 3 | 48 | | 4 | 48 | | 5 | 17 | | 6 | 57 | | 7 | 26 | | 8 | 20 | | 9 | 44 | | 10 | 45 | | 11 | 8 | | 12 | 51 | | 13 | 15 | | 14 | 30 | | 15 | 5 | | 16 | 34 | | 17 | 19 | | 18 | 44 | | 19 | 40 | | 20 | 13 | | 21 | 37 | | 22 | 42 | | 23 | 41 | | 24 | 29 | | 25 | 9 | | 26 | 34 | | 27 | 30 | | 28 | 44 | | 29 | 34 | | 30 | 4 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 165 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 12 | | semicolonCount | 0 | | flaggedSentences | 12 | | totalSentences | 94 | | ratio | 0.128 | | matches | | 0 | "The ground beneath her boots felt wrong—springy like moss but warm as living flesh." | | 1 | "Their light filtered through towering trees with bark that shifted patterns like a kaleidoscope—one moment resembling Celtic knots, the next fracturing into geometric runes." | | 2 | "A cluster of floating orbs drifted past—will-o'-the-wisps that paused to circle Aurora's wrist where her crescent scar peeked from her sleeve." | | 3 | "Wildflowers uncurled from buds, their petals blooming in reverse color—deep indigo centers fading to pale edges." | | 4 | "The left fork smelled of baking bread and woodsmoke—comforting, domestic." | | 5 | "She plucked a flower that hadn't existed moments before—its petals the exact crimson of Aurora's pendant." | | 6 | "The smell hit—ozone and rotting plums." | | 7 | "Then—light." | | 8 | "Aurora pressed them flat against the carvings as monstrous breathing echoed—wet, labored." | | 9 | "Later, Rory would recall the feel of its shadow—how it wasn't cold like Nyx's, but thick as congealing syrup." | | 10 | "Before them stretched a ruined feasting table—its surface etched with familiar symbols." | | 11 | "Among rotted delicacies lay a playing card—Isolde's face smiled up from the queen of hearts, her lavender eyes knowing." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 903 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 20 | | adverbRatio | 0.0221483942414175 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.005537098560354375 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 94 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 94 | | mean | 10.69 | | std | 5.36 | | cv | 0.501 | | sampleLengths | | 0 | 19 | | 1 | 15 | | 2 | 12 | | 3 | 18 | | 4 | 14 | | 5 | 14 | | 6 | 21 | | 7 | 24 | | 8 | 18 | | 9 | 21 | | 10 | 9 | | 11 | 5 | | 12 | 14 | | 13 | 16 | | 14 | 13 | | 15 | 12 | | 16 | 5 | | 17 | 11 | | 18 | 10 | | 19 | 10 | | 20 | 3 | | 21 | 7 | | 22 | 16 | | 23 | 11 | | 24 | 5 | | 25 | 10 | | 26 | 8 | | 27 | 12 | | 28 | 8 | | 29 | 16 | | 30 | 13 | | 31 | 7 | | 32 | 13 | | 33 | 9 | | 34 | 23 | | 35 | 6 | | 36 | 2 | | 37 | 12 | | 38 | 16 | | 39 | 17 | | 40 | 6 | | 41 | 5 | | 42 | 10 | | 43 | 7 | | 44 | 16 | | 45 | 4 | | 46 | 3 | | 47 | 4 | | 48 | 1 | | 49 | 15 |
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| 73.76% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.46808510638297873 | | totalSentences | 94 | | uniqueOpeners | 44 | |
| 41.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 81 | | matches | | 0 | "Somewhere in the dark, a" |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 81 | | matches | | 0 | "She wiggled her toes inside" | | 1 | "Their light filtered through towering" | | 2 | "They pulsed in approval before" | | 3 | "Her words died as the" | | 4 | "Their violet eyes glowed brighter." | | 5 | "Her lavender eyes tracked them" | | 6 | "Her bare feet left no" | | 7 | "She smiled at Nyx, who" | | 8 | "She plucked a flower that" | | 9 | "She scattered petals that froze" | | 10 | "Its ribcage housed a swirling" | | 11 | "Her pendant burned white-hot." | | 12 | "Their form collapsed inward like" | | 13 | "Its third point now pulsed" | | 14 | "Its glow intensified, revealing creeping" |
| | ratio | 0.185 | |
| 34.07% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 81 | | matches | | 0 | "The Heartstone pendant pulsed against" | | 1 | "The air shimmered, tasting of" | | 2 | "Aurora took a shaky breath," | | 3 | "The ground beneath her boots" | | 4 | "She wiggled her toes inside" | | 5 | "Eva muttered, staring at the" | | 6 | "Their light filtered through towering" | | 7 | "Nyx whispered from beside them," | | 8 | "A cluster of floating orbs" | | 9 | "They pulsed in approval before" | | 10 | "Eva reached for Rory's arm." | | 11 | "Her words died as the" | | 12 | "Wildflowers uncurled from buds, their" | | 13 | "The air hummed with unseen" | | 14 | "Nyx melted into the dappled" | | 15 | "Aurora hesitated at the threshold" | | 16 | "The left fork smelled of" | | 17 | "The middle route glistened with" | | 18 | "The rightmost path..." | | 19 | "Aurora's pendant flared hot against" |
| | ratio | 0.852 | |
| 61.73% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 81 | | matches | | 0 | "Before them stretched a ruined" |
| | ratio | 0.012 | |
| 7.72% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 37 | | technicalSentenceCount | 7 | | matches | | 0 | "Their light filtered through towering trees with bark that shifted patterns like a kaleidoscope—one moment resembling Celtic knots, the next fracturing into geo…" | | 1 | "Wildflowers uncurled from buds, their petals blooming in reverse color—deep indigo centers fading to pale edges." | | 2 | "She plucked a flower that hadn't existed moments before—its petals the exact crimson of Aurora's pendant." | | 3 | "The standing stones at the Grove's edge began vibrating, their surfaces splitting open like vertical mouths." | | 4 | "Glowing mushrooms spiraled up the tunnel walls, revealing carvings that told stories in no language Aurora recognized." | | 5 | "Their form collapsed inward like a dying star, condensing into a small obsidian vial that clattered to the moss." | | 6 | "Its glow intensified, revealing creeping tendrils of black ivy that hadn't been there moments before." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 2 | | matches | | 0 | "Nyx's voice fractured, shadows elongating into barbed tendrils" | | 1 | "Nyx managed, voice fading" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 4 | | fancyTags | | 0 | "Eva muttered (mutter)" | | 1 | "Nyx whispered (whisper)" | | 2 | "Nyx murmured (murmur)" | | 3 | "Eva whispered (whisper)" |
| | dialogueSentences | 22 | | tagDensity | 0.227 | | leniency | 0.455 | | rawRatio | 0.8 | | effectiveRatio | 0.364 | |