| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 23 | | tagDensity | 0.565 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1202 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "quickly" | | 1 | "softly" | | 2 | "slightly" |
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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) | |
| 8.49% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1202 | | totalAiIsms | 22 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "rhythmic" | | 1 | "pulse" | | 2 | "gloom" | | 3 | "stark" | | 4 | "chill" | | 5 | "silence" | | 6 | "stomach" | | 7 | "lurched" | | 8 | "oppressive" | | 9 | "warmth" | | 10 | "shimmered" | | 11 | "scanning" | | 12 | "flickered" | | 13 | "echoed" | | 14 | "pulsed" | | 15 | "perfect" | | 16 | "navigate" | | 17 | "weight" |
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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 | 87 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 87 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | 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 | 1199 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 10 | | unquotedAttributions | 0 | | matches | (empty) | |
| 75.86% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 40 | | wordCount | 1079 | | uniqueNames | 11 | | maxNameDensity | 1.48 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Heartstone | 1 | | Aurora | 16 | | London | 3 | | Fae-Forged | 1 | | Blade | 1 | | Nyx | 11 | | Earth | 1 | | Shade | 1 | | Fae | 3 | | Rows | 1 | | Isolde | 1 |
| | persons | | | places | | 0 | "London" | | 1 | "Blade" | | 2 | "Isolde" |
| | globalScore | 0.759 | | windowScore | 1 | |
| 50.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 75 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like it was pressing against her s" | | 1 | "looked like polished copper" | | 2 | "sounded like a feast, but the joy in the v" |
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| 33.19% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 1.668 | | wordCount | 1199 | | matches | | 0 | "not a soldier, but she had learned quickly" | | 1 | "not a step but a fall" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 97 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 38.68 | | std | 22.24 | | cv | 0.575 | | sampleLengths | | 0 | 76 | | 1 | 20 | | 2 | 73 | | 3 | 37 | | 4 | 69 | | 5 | 23 | | 6 | 87 | | 7 | 56 | | 8 | 12 | | 9 | 26 | | 10 | 54 | | 11 | 44 | | 12 | 32 | | 13 | 51 | | 14 | 31 | | 15 | 31 | | 16 | 68 | | 17 | 9 | | 18 | 36 | | 19 | 60 | | 20 | 18 | | 21 | 13 | | 22 | 39 | | 23 | 40 | | 24 | 3 | | 25 | 27 | | 26 | 48 | | 27 | 62 | | 28 | 7 | | 29 | 10 | | 30 | 37 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 87 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 190 | | matches | | 0 | "was intensifying" | | 1 | "was glowing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 3 | | flaggedSentences | 5 | | totalSentences | 97 | | ratio | 0.052 | | matches | | 0 | "The sounds of London traffic—the distant sirens, the rumble of buses—vanished instantly, replaced by a heavy, static silence." | | 1 | "It wasn't just the smell of earth and plants; it was the aroma of a kitchen left to simmer for days." | | 2 | "Wildflowers bloomed at her feet, but their colors were wrong—shades of orange and red that seemed to vibrate." | | 3 | "These weren't just workers; they were trapped." | | 4 | "She could navigate a courtroom; she could navigate a hellish vineyard." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1087 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 30 | | adverbRatio | 0.027598896044158234 | | lyAdverbCount | 12 | | lyAdverbRatio | 0.011039558417663294 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 12.36 | | std | 5.71 | | cv | 0.462 | | sampleLengths | | 0 | 19 | | 1 | 22 | | 2 | 16 | | 3 | 19 | | 4 | 15 | | 5 | 5 | | 6 | 9 | | 7 | 12 | | 8 | 7 | | 9 | 12 | | 10 | 22 | | 11 | 11 | | 12 | 14 | | 13 | 23 | | 14 | 16 | | 15 | 5 | | 16 | 15 | | 17 | 18 | | 18 | 12 | | 19 | 3 | | 20 | 9 | | 21 | 14 | | 22 | 7 | | 23 | 7 | | 24 | 13 | | 25 | 15 | | 26 | 20 | | 27 | 25 | | 28 | 7 | | 29 | 21 | | 30 | 22 | | 31 | 6 | | 32 | 12 | | 33 | 3 | | 34 | 16 | | 35 | 7 | | 36 | 18 | | 37 | 15 | | 38 | 8 | | 39 | 13 | | 40 | 9 | | 41 | 15 | | 42 | 20 | | 43 | 12 | | 44 | 20 | | 45 | 16 | | 46 | 18 | | 47 | 17 | | 48 | 21 | | 49 | 10 |
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| 51.55% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.3711340206185567 | | totalSentences | 97 | | uniqueOpeners | 36 | |
| 39.68% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 84 | | matches | | 0 | "Then, a shimmering distortion rippled" |
| | ratio | 0.012 | |
| 72.38% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 84 | | matches | | 0 | "She pressed a hand to" | | 1 | "She adjusted the grip on" | | 2 | "She was a delivery driver," | | 3 | "She stepped into the shadow" | | 4 | "She pushed through." | | 5 | "Her stomach lurched, and the" | | 6 | "It cast a perpetual late-afternoon" | | 7 | "They stood on a ridge" | | 8 | "It wasn't just the smell" | | 9 | "It was the scent of" | | 10 | "she asked, her breath catching" | | 11 | "She tightened her grip on" | | 12 | "she admitted, though the word" | | 13 | "She watched a beetle crawl" | | 14 | "Their form flickered, edges blurring" | | 15 | "It sounded like a feast," | | 16 | "They wore aprons stained with" | | 17 | "She remembered the codex entries" | | 18 | "She moved deeper into the" | | 19 | "She brushed a hand against" |
| | ratio | 0.369 | |
| 25.48% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 73 | | totalSentences | 84 | | matches | | 0 | "The Heartstone pendant burned against" | | 1 | "She pressed a hand to" | | 2 | "Nyx stood six feet of" | | 3 | "Nyx whispered, the voice sounding" | | 4 | "Aurora squinted at the blank" | | 5 | "She adjusted the grip on" | | 6 | "The moonsilver was always cold," | | 7 | "The leaf-shaped dagger hummed faintly," | | 8 | "Aurora said, her voice steady" | | 9 | "She was a delivery driver," | | 10 | "Nyx flowed forward, their form" | | 11 | "Aurora didn't have that luxury." | | 12 | "She stepped into the shadow" | | 13 | "The sounds of London traffic—the" | | 14 | "She pushed through." | | 15 | "The transition was not a" | | 16 | "Her stomach lurched, and the" | | 17 | "Aurora blinked, her bright blue" | | 18 | "The grey sky of London" | | 19 | "It cast a perpetual late-afternoon" |
| | ratio | 0.869 | |
| 59.52% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 84 | | matches | | | ratio | 0.012 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 54 | | technicalSentenceCount | 1 | | matches | | 0 | "The Heartstone pendant burned against Aurora's collarbone, a steady, rhythmic heat that had nothing to do with body temperature." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 8 | | matches | | 0 | "Nyx whispered, the voice sounding like dry leaves skittering over pavement" | | 1 | "Aurora said, her voice steady despite the adrenaline tightening her throat" | | 2 | "she asked, her breath catching in the humid air" | | 3 | "she admitted, though the word felt inadequate" | | 4 | "Nyx corrected, their violet eyes scanning the horizon" | | 5 | "Nyx warned, their voice sharp" | | 6 | "Nyx said, their form elongating as they stretched toward the twisted trees" | | 7 | "Aurora said, her voice low" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 13 | | fancyCount | 5 | | fancyTags | | 0 | "Nyx whispered (whisper)" | | 1 | "she admitted (admit)" | | 2 | "Nyx corrected (correct)" | | 3 | "Nyx whispered (whisper)" | | 4 | "Nyx warned (warn)" |
| | dialogueSentences | 23 | | tagDensity | 0.565 | | leniency | 1 | | rawRatio | 0.385 | | effectiveRatio | 0.385 | |