| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 19 | | tagDensity | 0.579 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 56.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1033 | | totalAiIsmAdverbs | 9 | | found | | | highlights | | 0 | "utterly" | | 1 | "slightly" | | 2 | "perfectly" | | 3 | "very" | | 4 | "slowly" |
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| 80.00% | AI-ism character names | Target: 0 AI-default names (17 tracked, −20% each) | | codexExemptions | (empty) | | found | | |
| 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 | 1033 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "beacon" | | 3 | "vibrated" | | 4 | "familiar" | | 5 | "fractured" | | 6 | "throbbed" | | 7 | "perfect" | | 8 | "stomach" | | 9 | "churn" | | 10 | "structure" | | 11 | "scanning" | | 12 | "encounter" | | 13 | "glistening" | | 14 | "amidst" | | 15 | "profound" | | 16 | "whisper" | | 17 | "echoed" | | 18 | "resonance" | | 19 | "flickered" | | 20 | "unreadable" | | 21 | "desire" |
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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 | 71 | | matches | (empty) | |
| 42.25% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 71 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 78 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1027 | | ratio | 0.003 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 928 | | uniqueNames | 10 | | maxNameDensity | 0.75 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 2 | | Aurora | 7 | | Richmond | 1 | | Park | 1 | | Earth | 1 | | Eva | 4 | | Hel | 1 | | Silas | 2 | | One | 1 | | Nyx | 4 |
| | persons | | 0 | "Heartstone" | | 1 | "Aurora" | | 2 | "Eva" | | 3 | "Silas" | | 4 | "One" | | 5 | "Nyx" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 63 | | glossingSentenceCount | 4 | | matches | | 0 | "tasted like ozone and overripe fruit" | | 1 | "hum that seemed to settle deep in her bones" | | 2 | "grapes that seemed to shimmer with an internal light" | | 3 | "sound that seemed to bypass their ears and vibrate directly in their minds" |
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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 | 1027 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 78 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 35.41 | | std | 23.82 | | cv | 0.673 | | sampleLengths | | 0 | 63 | | 1 | 26 | | 2 | 40 | | 3 | 40 | | 4 | 72 | | 5 | 35 | | 6 | 17 | | 7 | 24 | | 8 | 6 | | 9 | 35 | | 10 | 87 | | 11 | 88 | | 12 | 9 | | 13 | 16 | | 14 | 72 | | 15 | 29 | | 16 | 47 | | 17 | 4 | | 18 | 52 | | 19 | 10 | | 20 | 12 | | 21 | 14 | | 22 | 30 | | 23 | 10 | | 24 | 45 | | 25 | 53 | | 26 | 50 | | 27 | 10 | | 28 | 31 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 71 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 153 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 1 | | flaggedSentences | 7 | | totalSentences | 78 | | ratio | 0.09 | | matches | | 0 | "The familiar scent of damp earth and pine needles faded, replaced by something sweeter, heavier – honey and decay." | | 1 | "It was more like looking through water—an undulating distortion of the air, rippling with colours she couldn’t name." | | 2 | "Twisted, colossal vines, thick as ancient redwoods, spiralled up towards the unseen sky, their leaves a riot of jewel tones—scarlet, emerald, sapphire—all glowing with an inner luminescence." | | 3 | "This wasn’t wild growth; this was cultivated excess, engineered indulgence." | | 4 | "Further on, a colossal structure rose from the landscape—a palace built of polished obsidian and shimmering gold, its towers piercing the strange amber sky." | | 5 | "It was the flags that hung from its battlements—each one depicting a single, grotesquely oversized piece of fruit." | | 6 | "Periodically, they would encounter pathways lined with ornate tables laden with delicacies—mountains of glistening pastries, pyramids of candied fruits, rivers of flowing chocolate." |
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| 93.54% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 934 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 43 | | adverbRatio | 0.046038543897216275 | | lyAdverbCount | 20 | | lyAdverbRatio | 0.021413276231263382 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 78 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 78 | | mean | 13.17 | | std | 6.31 | | cv | 0.479 | | sampleLengths | | 0 | 12 | | 1 | 23 | | 2 | 9 | | 3 | 19 | | 4 | 13 | | 5 | 13 | | 6 | 13 | | 7 | 22 | | 8 | 5 | | 9 | 10 | | 10 | 18 | | 11 | 12 | | 12 | 13 | | 13 | 27 | | 14 | 15 | | 15 | 17 | | 16 | 12 | | 17 | 23 | | 18 | 12 | | 19 | 5 | | 20 | 6 | | 21 | 18 | | 22 | 6 | | 23 | 11 | | 24 | 4 | | 25 | 16 | | 26 | 4 | | 27 | 7 | | 28 | 19 | | 29 | 17 | | 30 | 10 | | 31 | 4 | | 32 | 20 | | 33 | 10 | | 34 | 15 | | 35 | 18 | | 36 | 24 | | 37 | 13 | | 38 | 18 | | 39 | 9 | | 40 | 9 | | 41 | 7 | | 42 | 9 | | 43 | 10 | | 44 | 26 | | 45 | 23 | | 46 | 4 | | 47 | 24 | | 48 | 5 | | 49 | 12 |
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| 88.46% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.5769230769230769 | | totalSentences | 78 | | uniqueOpeners | 45 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 69 | | matches | | 0 | "Further on, a colossal structure" | | 1 | "Periodically, they would encounter pathways" | | 2 | "Just the low, resonant hum" | | 3 | "Then she saw them." |
| | ratio | 0.058 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 69 | | matches | | 0 | "It had been a steady" | | 1 | "She clutched the strap of" | | 2 | "It wasn't a clean break," | | 3 | "It was more like looking" | | 4 | "They solidified slightly as they" | | 5 | "she breathed, recognizing the faint" | | 6 | "It was the *order*." | | 7 | "It was the flags that" | | 8 | "They ventured deeper, the springy" | | 9 | "They passed orchards where pears" | | 10 | "They stood motionless, observing them" | | 11 | "They weren’t hostile, exactly, but" | | 12 | "She wasn't human." | | 13 | "Her skin was a shade" | | 14 | "Her eyes were closed, and" | | 15 | "She radiated an aura of" | | 16 | "her voice echoed across the" | | 17 | "She opened her eyes, revealing" |
| | ratio | 0.261 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 49 | | totalSentences | 69 | | matches | | 0 | "The Heartstone pulsed against Aurora's" | | 1 | "It had been a steady" | | 2 | "The air thickened, tasted like" | | 3 | "The familiar scent of damp" | | 4 | "Eva asked, her voice a" | | 5 | "She clutched the strap of" | | 6 | "Aurora didn’t respond, too focused" | | 7 | "It wasn't a clean break," | | 8 | "It was more like looking" | | 9 | "The ground beneath their feet" | | 10 | "The air itself vibrated with" | | 11 | "Nyx flowed forward, their shadow" | | 12 | "They solidified slightly as they" | | 13 | "Nyx murmured, their voice a" | | 14 | "Eva gasped, stumbled back against" | | 15 | "Silus hung back, his hand" | | 16 | "Aurora pushed past Eva, ignoring" | | 17 | "The Heartstone throbbed insistently." | | 18 | "she breathed, recognizing the faint" | | 19 | "The grove opened into a" |
| | ratio | 0.71 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 69 | | matches | (empty) | | ratio | 0 | |
| 15.87% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 8 | | matches | | 0 | "Ahead, the ancient oak standing stones, normally weathered and moss-covered, seemed to shimmer, their edges blurring as if seen through heat haze." | | 1 | "But it wasn’t just the sheer abundance that was unsettling." | | 2 | "The scent of honey intensified, mixed now with a heady, almost cloying sweetness that made her stomach churn." | | 3 | "Further on, a colossal structure rose from the landscape—a palace built of polished obsidian and shimmering gold, its towers piercing the strange amber sky." | | 4 | "It was the flags that hung from its battlements—each one depicting a single, grotesquely oversized piece of fruit." | | 5 | "They passed orchards where pears the size of pumpkins swelled on the branches, and vines laden with grapes that seemed to shimmer with an internal light." | | 6 | "Aurora noticed something then, something that hadn't registered amidst the sensory overload." | | 7 | "She radiated an aura of serene indifference, as if she were simply an integral part of the landscape." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 4 | | matches | | 0 | "Eva asked, her voice a nervous tremor" | | 1 | "Nyx murmured, their voice a wind whispering through dry reeds" | | 2 | "Aurora said, the words barely a whisper" | | 3 | "Nyx mused, their shadow form flickering slightly" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 5 | | fancyTags | | 0 | "Nyx murmured (murmur)" | | 1 | "he muttered (mutter)" | | 2 | "she breathed (breathe)" | | 3 | "Silas retorted (retort)" | | 4 | "Nyx observed (observe)" |
| | dialogueSentences | 19 | | tagDensity | 0.421 | | leniency | 0.842 | | rawRatio | 0.625 | | effectiveRatio | 0.526 | |