| 82.35% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 17 | | adverbTagCount | 2 | | adverbTags | | 0 | "Aurora said carefully [carefully]" | | 1 | "Isolde said quietly [quietly]" |
| | dialogueSentences | 29 | | tagDensity | 0.586 | | leniency | 1 | | rawRatio | 0.118 | | effectiveRatio | 0.118 | |
| 72.97% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1110 | | totalAiIsmAdverbs | 6 | | found | | | highlights | | 0 | "suddenly" | | 1 | "precisely" | | 2 | "carefully" | | 3 | "very" | | 4 | "really" |
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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) | |
| 72.97% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1110 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "intensity" | | 1 | "warmth" | | 2 | "pulse" | | 3 | "weight" | | 4 | "quickened" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 69 | | matches | | |
| 18.63% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 5 | | narrationSentences | 69 | | filterMatches | | | hedgeMatches | | 0 | "seemed to" | | 1 | "appeared to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 81 | | 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 | 1096 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 16 | | unquotedAttributions | 0 | | matches | (empty) | |
| 47.73% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 49 | | wordCount | 880 | | uniqueNames | 11 | | maxNameDensity | 2.05 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | London | 1 | | Nyx | 9 | | Richmond | 2 | | Park | 2 | | Aurora | 18 | | Isolde | 8 | | Heartstone | 3 | | Half-Fae | 1 | | Rory | 3 | | Veil | 1 | | Fae-Forged | 1 |
| | persons | | 0 | "Nyx" | | 1 | "Aurora" | | 2 | "Isolde" | | 3 | "Heartstone" | | 4 | "Rory" | | 5 | "Veil" |
| | places | | 0 | "London" | | 1 | "Richmond" | | 2 | "Park" | | 3 | "Fae-Forged" |
| | globalScore | 0.477 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 55 | | glossingSentenceCount | 4 | | matches | | 0 | "quite feel solid—not unstable, but present in a way that made her teeth ache" | | 1 | "light that seemed to come from nowhere and everywhere at once" | | 2 | "something like genuine regret" | | 3 | "seemed constant had stilled" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 4 | | per1kWords | 3.65 | | wordCount | 1096 | | matches | | 0 | "not unstable, but present in a way" | | 1 | "not exist at all, reflecting not the amber sky above but something else entirely" | | 2 | "not the amber sky above but something else entirely" | | 3 | "neither quest nor" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 81 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 35.35 | | std | 18.88 | | cv | 0.534 | | sampleLengths | | 0 | 45 | | 1 | 11 | | 2 | 61 | | 3 | 23 | | 4 | 66 | | 5 | 13 | | 6 | 59 | | 7 | 11 | | 8 | 36 | | 9 | 23 | | 10 | 21 | | 11 | 23 | | 12 | 44 | | 13 | 74 | | 14 | 34 | | 15 | 31 | | 16 | 40 | | 17 | 61 | | 18 | 15 | | 19 | 24 | | 20 | 57 | | 21 | 10 | | 22 | 69 | | 23 | 26 | | 24 | 31 | | 25 | 32 | | 26 | 43 | | 27 | 26 | | 28 | 52 | | 29 | 7 | | 30 | 28 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 69 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 153 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 14 | | semicolonCount | 0 | | flaggedSentences | 14 | | totalSentences | 81 | | ratio | 0.173 | | matches | | 0 | "The ancient oaks materialized first—impossibly tall and twisted, their bark silver-grey in the perpetual twilight." | | 1 | "Nyx flowed through the boundary like spilled ink, their form solidifying into something almost human—almost." | | 2 | "The ground beneath her boots didn't quite feel solid—not unstable, but present in a way that made her teeth ache." | | 3 | "The Half-Fae seer was precisely as Rory had imagined—ethereal, impossible, her silver hair catching light that didn't exist." | | 4 | "Nyx shifted beside Aurora, their form flickering at the edges—a habit they had when uncertain." | | 5 | "Aurora and Nyx exchanged a glance—or rather, Rory cast a questioning look at the shadow beside her, unsure if Nyx could meaningfully exchange anything with anyone." | | 6 | "The wildflowers grew denser—Aurora recognized honeysuckle and nightshade alongside flowers she'd never seen before, blooms that shifted color as she watched them: purple to silver to a shade that didn't have a name." | | 7 | "Their voice held curiosity, genuine and unguarded—rare from them." | | 8 | "Her bright blue eyes struggled to adjust to light that seemed to come from the wildflowers themselves—a soft phosphorescence in deep blues and greens." | | 9 | "The grove's heart was a clearing ringed with seven standing stones—ancient oaks, each one vast beyond reason." | | 10 | "In the water's reflection, Aurora could see figures moving—she blinked and they were gone." | | 11 | "\"That is not a question with a riddle's answer,\" the seer said, and her tone held something Aurora hadn't heard before—something like genuine regret." | | 12 | "Aurora felt it acutely now—a thrumming urgency, a pull toward the pool." | | 13 | "It was only then that Aurora realized—the wildflowers were all facing inward now, toward the pool." |
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| 84.23% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 899 | | adjectiveStacks | 1 | | stackExamples | | 0 | "strange amber-tinted light" |
| | adverbCount | 46 | | adverbRatio | 0.05116796440489433 | | lyAdverbCount | 17 | | lyAdverbRatio | 0.018909899888765295 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 81 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 81 | | mean | 13.53 | | std | 7.18 | | cv | 0.53 | | sampleLengths | | 0 | 15 | | 1 | 7 | | 2 | 23 | | 3 | 11 | | 4 | 15 | | 5 | 31 | | 6 | 15 | | 7 | 19 | | 8 | 4 | | 9 | 2 | | 10 | 20 | | 11 | 23 | | 12 | 16 | | 13 | 5 | | 14 | 13 | | 15 | 13 | | 16 | 18 | | 17 | 28 | | 18 | 8 | | 19 | 3 | | 20 | 17 | | 21 | 19 | | 22 | 8 | | 23 | 15 | | 24 | 6 | | 25 | 15 | | 26 | 6 | | 27 | 17 | | 28 | 16 | | 29 | 26 | | 30 | 2 | | 31 | 4 | | 32 | 18 | | 33 | 19 | | 34 | 33 | | 35 | 13 | | 36 | 21 | | 37 | 15 | | 38 | 7 | | 39 | 9 | | 40 | 12 | | 41 | 28 | | 42 | 13 | | 43 | 17 | | 44 | 7 | | 45 | 24 | | 46 | 15 | | 47 | 18 | | 48 | 6 | | 49 | 7 |
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| 57.61% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.38271604938271603 | | totalSentences | 81 | | uniqueOpeners | 31 | |
| 52.91% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 63 | | matches | | 0 | "Even the wind, which had" |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 14 | | totalSentences | 63 | | matches | | 0 | "she whispered, her London accent" | | 1 | "They'd been cautious about this" | | 2 | "She lifted her hand and" | | 3 | "Her lavender eyes held the" | | 4 | "It wasn't an answer to" | | 5 | "She turned and began walking," | | 6 | "Their voice held curiosity, genuine" | | 7 | "Her bright blue eyes struggled" | | 8 | "She'd come because Nyx had" | | 9 | "She'd come because something in" | | 10 | "They passed through the archway" | | 11 | "She could smell cinnamon and" | | 12 | "Her mouth watered." | | 13 | "It was only then that" |
| | ratio | 0.222 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 56 | | totalSentences | 63 | | matches | | 0 | "The ancient oaks materialized first—impossibly" | | 1 | "Aurora stepped through and her" | | 2 | "The temperature dropped twenty degrees" | | 3 | "she whispered, her London accent" | | 4 | "Nyx flowed through the boundary" | | 5 | "The living shadow that had" | | 6 | "They'd been cautious about this" | | 7 | "Nyx said, their voice like" | | 8 | "The ground beneath her boots" | | 9 | "She lifted her hand and" | | 10 | "The Heartstone pendant at her" | | 11 | "Isolde emerged from between the" | | 12 | "The Half-Fae seer was precisely" | | 13 | "Her lavender eyes held the" | | 14 | "Aurora said, forcing steadiness into" | | 15 | "The seer tilted her head," | | 16 | "The riddle hung in the" | | 17 | "Nyx shifted beside Aurora, their" | | 18 | "Aurora said carefully" | | 19 | "It wasn't an answer to" |
| | ratio | 0.889 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 63 | | matches | (empty) | | ratio | 0 | |
| 11.28% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 7 | | matches | | 0 | "The living shadow that had been trailing her through Richmond Park coalesced beside her, their faintly glowing violet eyes taking in the grove with an intensity…" | | 1 | "The ground beneath her boots didn't quite feel solid—not unstable, but present in a way that made her teeth ache." | | 2 | "She lifted her hand and watched her fingers catch the strange amber-tinted light that seemed to come from nowhere and everywhere at once." | | 3 | "The Half-Fae seer was precisely as Rory had imagined—ethereal, impossible, her silver hair catching light that didn't exist." | | 4 | "She turned and began walking, her movements disconcertingly graceful, as though she floated rather than walked." | | 5 | "Trees rose in spiraling formation, their trunks thick as cathedrals, their roots forming natural archways that glowed faintly phosphorescent." | | 6 | "The wildflowers grew denser—Aurora recognized honeysuckle and nightshade alongside flowers she'd never seen before, blooms that shifted color as she watched the…" |
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| 66.18% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 17 | | uselessAdditionCount | 2 | | matches | | 0 | "she whispered, her London accent suddenly sharp in the stillness" | | 1 | "Aurora called out, her voice smaller than she intended" |
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| 46.55% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 3 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "Aurora called out (call out)" | | 2 | "they whispered (whisper)" |
| | dialogueSentences | 29 | | tagDensity | 0.483 | | leniency | 0.966 | | rawRatio | 0.214 | | effectiveRatio | 0.207 | |