| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 78.72% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 940 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "softly" | | 1 | "slowly" | | 2 | "very" | | 3 | "tightly" |
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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) | |
| 36.17% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 940 | | totalAiIsms | 12 | | found | | | highlights | | 0 | "loomed" | | 1 | "throbbed" | | 2 | "racing" | | 3 | "silence" | | 4 | "oppressive" | | 5 | "echo" | | 6 | "warmth" | | 7 | "shattered" | | 8 | "echoing" | | 9 | "churning" | | 10 | "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 | 0 | | narrationSentences | 80 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 80 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 83 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 4 | | markdownWords | 10 | | totalWords | 940 | | ratio | 0.011 | | matches | | 0 | "Tick. Tack. Tick. Tack." | | 1 | "Tick. Tack." | | 2 | "Tick-tack, tick-tack." | | 3 | "Tick-tack. Tick-tack." |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 24 | | wordCount | 915 | | uniqueNames | 11 | | maxNameDensity | 0.98 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 9 | | London | 1 | | Fae | 1 | | Grove | 3 | | Heartstone | 3 | | Pendant | 2 | | Park | 1 | | Hel | 1 | | Yu-Fei | 1 | | Cheung | 1 | | Helfire | 1 |
| | persons | | 0 | "Rory" | | 1 | "Pendant" | | 2 | "Cheung" |
| | places | | 0 | "London" | | 1 | "Fae" | | 2 | "Grove" | | 3 | "Park" |
| | globalScore | 1 | | windowScore | 1 | |
| 29.03% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 62 | | glossingSentenceCount | 3 | | matches | | 0 | "trunks that seemed to shift whenever she blinked" | | 1 | "sounded like fingernails tapping against h" | | 2 | "sounded like two dry stones grinding toget" |
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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 | 940 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 83 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 40 | | mean | 23.5 | | std | 14.79 | | cv | 0.629 | | sampleLengths | | 0 | 32 | | 1 | 20 | | 2 | 47 | | 3 | 10 | | 4 | 49 | | 5 | 29 | | 6 | 3 | | 7 | 9 | | 8 | 34 | | 9 | 33 | | 10 | 10 | | 11 | 8 | | 12 | 48 | | 13 | 2 | | 14 | 14 | | 15 | 21 | | 16 | 26 | | 17 | 10 | | 18 | 36 | | 19 | 11 | | 20 | 50 | | 21 | 15 | | 22 | 42 | | 23 | 13 | | 24 | 2 | | 25 | 35 | | 26 | 7 | | 27 | 37 | | 28 | 12 | | 29 | 29 | | 30 | 50 | | 31 | 2 | | 32 | 11 | | 33 | 36 | | 34 | 17 | | 35 | 34 | | 36 | 12 | | 37 | 34 | | 38 | 22 | | 39 | 28 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 80 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 146 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 83 | | ratio | 0 | | matches | (empty) | |
| 84.42% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 254 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small crescent-shaped scar" |
| | adverbCount | 9 | | adverbRatio | 0.03543307086614173 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.031496062992125984 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 83 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 83 | | mean | 11.33 | | std | 7.23 | | cv | 0.638 | | sampleLengths | | 0 | 16 | | 1 | 16 | | 2 | 20 | | 3 | 12 | | 4 | 20 | | 5 | 15 | | 6 | 10 | | 7 | 10 | | 8 | 8 | | 9 | 31 | | 10 | 5 | | 11 | 24 | | 12 | 3 | | 13 | 9 | | 14 | 21 | | 15 | 13 | | 16 | 7 | | 17 | 20 | | 18 | 6 | | 19 | 6 | | 20 | 1 | | 21 | 1 | | 22 | 1 | | 23 | 1 | | 24 | 8 | | 25 | 10 | | 26 | 19 | | 27 | 5 | | 28 | 14 | | 29 | 1 | | 30 | 1 | | 31 | 14 | | 32 | 19 | | 33 | 2 | | 34 | 7 | | 35 | 15 | | 36 | 4 | | 37 | 3 | | 38 | 7 | | 39 | 12 | | 40 | 17 | | 41 | 5 | | 42 | 2 | | 43 | 11 | | 44 | 5 | | 45 | 7 | | 46 | 20 | | 47 | 18 | | 48 | 6 | | 49 | 9 |
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| 67.47% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.43373493975903615 | | totalSentences | 83 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 70 | | matches | | 0 | "She swore softly, planted her" | | 1 | "She cupped the silver chain," | | 2 | "She rubbed the small crescent-shaped" | | 3 | "She could not afford three" | | 4 | "It sounded like fingernails tapping" | | 5 | "She reached into her inner" | | 6 | "It sounded like two dry" | | 7 | "Her breath bloomed in dense" | | 8 | "It was not a shadow." | | 9 | "It lacked eyes, hair, or" | | 10 | "She took a cautious step" | | 11 | "Her boot heel struck something" | | 12 | "She darted a look down." | | 13 | "It folded forward at the" | | 14 | "Their faces lacked features entirely" | | 15 | "They tapped their long, black" | | 16 | "She crashed hard into the" | | 17 | "Her iron spike clattered uselessly" |
| | ratio | 0.257 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 60 | | totalSentences | 70 | | matches | | 0 | "A jagged blackthorn branch snagged" | | 1 | "She swore softly, planted her" | | 2 | "The ancient oak standing stones" | | 3 | "The Heartstone Pendant burned against" | | 4 | "She cupped the silver chain," | | 5 | "Silence swallowed her the instant" | | 6 | "The distant roar of traffic" | | 7 | "Richmond Park dissolved into an" | | 8 | "Rory gripped her torch tight." | | 9 | "The narrow beam cut through" | | 10 | "The Grove absorbed her voice" | | 11 | "She rubbed the small crescent-shaped" | | 12 | "The skin felt icy cold" | | 13 | "Time stretched weirdly in this" | | 14 | "An hour inside could mean" | | 15 | "She could not afford three" | | 16 | "A dry sound broke the" | | 17 | "It sounded like fingernails tapping" | | 18 | "Rory snapped the flashlight toward" | | 19 | "The bright white light washed" |
| | ratio | 0.857 | |
| 71.43% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 70 | | matches | | 0 | "Before she could draw breath," |
| | ratio | 0.014 | |
| 91.84% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 42 | | technicalSentenceCount | 3 | | matches | | 0 | "The narrow beam cut through a white mist leaking directly from the dirt, illuminating ancient tree trunks that seemed to shift whenever she blinked." | | 1 | "Crimson light burst through her shirt, dyeing the fog and surrounding bark in shades of wet copper." | | 2 | "This was an oily, fluid tear in the air that gathered the surrounding white mist into a tall, crooked shape." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "Rory muttered (mutter)" |
| | dialogueSentences | 6 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 1 | | effectiveRatio | 0.333 | |