| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 20 | | tagDensity | 0.35 | | leniency | 0.7 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 89.16% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1384 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "very" | | 1 | "hesitantly" | | 2 | "suddenly" |
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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) | |
| 16.91% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1384 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "chill" | | 1 | "vibrated" | | 2 | "warmth" | | 3 | "sentinel" | | 4 | "silence" | | 5 | "profound" | | 6 | "weight" | | 7 | "perfect" | | 8 | "pristine" | | 9 | "stark" | | 10 | "velvet" | | 11 | "reminder" | | 12 | "crystalline" | | 13 | "tapestry" | | 14 | "comfortable" | | 15 | "whisper" | | 16 | "fleeting" | | 17 | "intensity" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 94 | | matches | (empty) | |
| 51.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 2 | | hedgeCount | 4 | | narrationSentences | 94 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 106 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1383 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 61 | | wordCount | 1113 | | uniqueNames | 18 | | maxNameDensity | 1.89 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 21 | | London | 2 | | Nyx | 9 | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Pendant | 1 | | November | 1 | | English | 1 | | Fae-touched | 1 | | Isolde | 10 | | Varga | 1 | | Seer | 4 | | Shade | 1 | | Hesitantly | 1 | | Fae-forged | 1 | | Suddenly | 1 | | Fae | 3 |
| | persons | | 0 | "Rory" | | 1 | "Nyx" | | 2 | "Isolde" | | 3 | "Seer" |
| | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "Heartstone" | | 4 | "November" | | 5 | "English" | | 6 | "Fae-touched" | | 7 | "Fae" |
| | globalScore | 0.557 | | windowScore | 0.333 | |
| 11.11% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 72 | | glossingSentenceCount | 4 | | matches | | 0 | "felt like a weight" | | 1 | "twilight that seemed to emanate from the very air itself, a silver-gold glow with no discernible source" | | 2 | "looked like captured moonlight, the blade" | | 3 | "felt like a burn" |
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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 | 1383 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 106 | | matches | | |
| 98.53% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 43.22 | | std | 21.39 | | cv | 0.495 | | sampleLengths | | 0 | 60 | | 1 | 17 | | 2 | 61 | | 3 | 55 | | 4 | 52 | | 5 | 7 | | 6 | 67 | | 7 | 87 | | 8 | 5 | | 9 | 16 | | 10 | 53 | | 11 | 94 | | 12 | 44 | | 13 | 50 | | 14 | 9 | | 15 | 58 | | 16 | 42 | | 17 | 59 | | 18 | 21 | | 19 | 63 | | 20 | 31 | | 21 | 43 | | 22 | 44 | | 23 | 32 | | 24 | 26 | | 25 | 38 | | 26 | 65 | | 27 | 30 | | 28 | 44 | | 29 | 30 | | 30 | 55 | | 31 | 25 |
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| 90.33% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 94 | | matches | | 0 | "were gone" | | 1 | "was bathed" | | 2 | "was turned" | | 3 | "was made" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 160 | | matches | | 0 | "were walking" | | 1 | "was somehow unnerving" |
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| 88.95% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 106 | | ratio | 0.019 | | matches | | 0 | "These weren’t just trees; they were monuments." | | 1 | "The damp London chill evaporated, replaced by air that was soft, sweet, and redolent with the scent of honeysuckle and night-blooming jasmine—flowers that had no business blooming in November." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1123 | | adjectiveStacks | 1 | | stackExamples | | 0 | "small, crescent-shaped scar" |
| | adverbCount | 42 | | adverbRatio | 0.037399821905609976 | | lyAdverbCount | 11 | | lyAdverbRatio | 0.009795191451469279 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 106 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 106 | | mean | 13.05 | | std | 6.97 | | cv | 0.534 | | sampleLengths | | 0 | 20 | | 1 | 20 | | 2 | 20 | | 3 | 17 | | 4 | 15 | | 5 | 10 | | 6 | 7 | | 7 | 20 | | 8 | 9 | | 9 | 21 | | 10 | 17 | | 11 | 17 | | 12 | 11 | | 13 | 13 | | 14 | 10 | | 15 | 18 | | 16 | 7 | | 17 | 17 | | 18 | 19 | | 19 | 2 | | 20 | 29 | | 21 | 5 | | 22 | 24 | | 23 | 19 | | 24 | 3 | | 25 | 8 | | 26 | 16 | | 27 | 12 | | 28 | 5 | | 29 | 16 | | 30 | 15 | | 31 | 11 | | 32 | 27 | | 33 | 16 | | 34 | 16 | | 35 | 3 | | 36 | 14 | | 37 | 12 | | 38 | 6 | | 39 | 19 | | 40 | 3 | | 41 | 5 | | 42 | 4 | | 43 | 8 | | 44 | 16 | | 45 | 11 | | 46 | 5 | | 47 | 27 | | 48 | 23 | | 49 | 9 |
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| 49.37% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.3584905660377358 | | totalSentences | 106 | | uniqueOpeners | 38 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 90 | | matches | | 0 | "Usually, its faint warmth was" | | 1 | "Hesitantly, Rory reached out and" | | 2 | "Suddenly, the Seer’s focus shifted," |
| | ratio | 0.033 | |
| 86.67% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 90 | | matches | | 0 | "They moved through the skeletal" | | 1 | "They were ancient, their bark" | | 2 | "It wasn't a sound, but" | | 3 | "They paused between two of" | | 4 | "She took a breath, the" | | 5 | "It was beautiful, an artist’s" | | 6 | "It was also deeply wrong." | | 7 | "she asked, her voice sounding" | | 8 | "They seemed more at ease" | | 9 | "She ran a hand over" | | 10 | "It was a perfect, sterile" | | 11 | "She glanced at her wrist," | | 12 | "She tugged down her sleeve." | | 13 | "She felt unmoored, a boat" | | 14 | "They followed a path that" | | 15 | "She was turned away from" | | 16 | "She wore a simple gown" | | 17 | "Her beauty was sharp, crystalline." | | 18 | "It wasn't human." | | 19 | "Her features were too symmetrical," |
| | ratio | 0.333 | |
| 43.33% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 75 | | totalSentences | 90 | | matches | | 0 | "The chill of the late" | | 1 | "They moved through the skeletal" | | 2 | "Nyx whispered, the voice a" | | 3 | "They were ancient, their bark" | | 4 | "These weren’t just trees; they" | | 5 | "It wasn't a sound, but" | | 6 | "Nyx drifted forward, their form" | | 7 | "They paused between two of" | | 8 | "Rory’s hand went to the" | | 9 | "She took a breath, the" | | 10 | "The world tilted on an" | | 11 | "The pressure in her ears" | | 12 | "The sounds of the city," | | 13 | "The damp London chill evaporated," | | 14 | "Rory’s bright blue eyes widened." | | 15 | "The clearing was bathed in" | | 16 | "The grass was a shade" | | 17 | "Drifts of them, a riot" | | 18 | "Foxgloves grew beside summer roses," | | 19 | "It was beautiful, an artist’s" |
| | ratio | 0.833 | |
| 55.56% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 90 | | matches | | | ratio | 0.011 | |
| 5.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 52 | | technicalSentenceCount | 10 | | matches | | 0 | "Beside her, Nyx was a column of deeper darkness against the bruised twilight, a void that drank the meager light." | | 1 | "As they drew nearer, Rory felt a strange pressure against her ears, a low hum that vibrated in her teeth." | | 2 | "Nyx drifted forward, their form blurring at the edges, becoming less a man and more a man-shaped hole in the world." | | 3 | "The damp London chill evaporated, replaced by air that was soft, sweet, and redolent with the scent of honeysuckle and night-blooming jasmine—flowers that had n…" | | 4 | "The clearing was bathed in a pearlescent twilight that seemed to emanate from the very air itself, a silver-gold glow with no discernible source." | | 5 | "No birds sang from the branches of the silver-leafed trees that ringed the glade." | | 6 | "She glanced at her wrist, at the small, crescent-shaped scar that was a permanent reminder of a childhood mistake." | | 7 | "Nyx moved without effort, a shadow gliding over the ground, but Rory felt a strange lethargy, as if she were walking through water." | | 8 | "Her eyes, the color of pale lavender, held an ancient, knowing light that made Rory feel like a child." | | 9 | "Nyx inclined their head, a gesture of respect that was somehow unnerving coming from the ageless Shade." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 2 | | matches | | 0 | "she asked, her voice sounding small and clumsy in the pristine stillness" | | 1 | "Isolde said, her voice dropping to a conspiratorial whisper" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 1 | | fancyTags | | 0 | "Nyx whispered (whisper)" |
| | dialogueSentences | 20 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.2 | | effectiveRatio | 0.1 | |