| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 21 | | tagDensity | 0.19 | | leniency | 0.381 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 83.16% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 891 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "gently" | | 1 | "perfectly" | | 2 | "very" |
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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) | |
| 55.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 891 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "fascinating" | | 3 | "marble" | | 4 | "shimmered" | | 5 | "silk" | | 6 | "loomed" | | 7 | "whisper" |
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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 | 53 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 53 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 68 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 898 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 75.99% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 608 | | uniqueNames | 12 | | maxNameDensity | 1.48 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Isolde" | | discoveredNames | | Isolde | 7 | | Veil | 1 | | Dymas | 2 | | Gluttony | 2 | | Heartstone | 2 | | Fae | 2 | | Rory | 9 | | Rubies | 1 | | Belphegor | 4 | | Half-Fae | 1 | | Prince | 1 | | Nyx | 5 |
| | persons | | 0 | "Isolde" | | 1 | "Veil" | | 2 | "Gluttony" | | 3 | "Rory" | | 4 | "Rubies" | | 5 | "Belphegor" | | 6 | "Prince" | | 7 | "Nyx" |
| | places | | | globalScore | 0.76 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 898 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 68 | | matches | (empty) | |
| 60.01% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 23 | | mean | 39.04 | | std | 14.06 | | cv | 0.36 | | sampleLengths | | 0 | 39 | | 1 | 65 | | 2 | 31 | | 3 | 30 | | 4 | 45 | | 5 | 40 | | 6 | 68 | | 7 | 36 | | 8 | 28 | | 9 | 20 | | 10 | 20 | | 11 | 71 | | 12 | 32 | | 13 | 35 | | 14 | 46 | | 15 | 31 | | 16 | 32 | | 17 | 50 | | 18 | 34 | | 19 | 47 | | 20 | 22 | | 21 | 49 | | 22 | 27 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 53 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 98 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 1 | | flaggedSentences | 4 | | totalSentences | 68 | | ratio | 0.059 | | matches | | 0 | "Bulbous trunks like overripe squash supported twisting branches laden with obscene fruit – swollen orbs in shades of plum, citrine, and crimson." | | 1 | "Perfectly manicured topiaries lined crushed marble pathways – fantastical shapes of dragons, basilisks and other mythical beasts, each standing twenty feet tall or more." | | 2 | "\"Ah, but where is the fun in that, Miss Carter?\" The air shimmered and a figure materialized before them on the path – a grotesquely obese man in finery of gold silk and jewels." | | 3 | "Rubies winked from the rings weighing down his sausagelike fingers; loops of pearls hung from his bulging neck." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 613 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 12 | | adverbRatio | 0.01957585644371941 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.011419249592169658 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 68 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 68 | | mean | 13.21 | | std | 6.51 | | cv | 0.493 | | sampleLengths | | 0 | 14 | | 1 | 6 | | 2 | 19 | | 3 | 9 | | 4 | 9 | | 5 | 17 | | 6 | 22 | | 7 | 8 | | 8 | 6 | | 9 | 11 | | 10 | 8 | | 11 | 6 | | 12 | 14 | | 13 | 9 | | 14 | 7 | | 15 | 18 | | 16 | 17 | | 17 | 10 | | 18 | 18 | | 19 | 14 | | 20 | 8 | | 21 | 7 | | 22 | 8 | | 23 | 24 | | 24 | 7 | | 25 | 14 | | 26 | 6 | | 27 | 2 | | 28 | 21 | | 29 | 15 | | 30 | 15 | | 31 | 13 | | 32 | 9 | | 33 | 11 | | 34 | 4 | | 35 | 16 | | 36 | 8 | | 37 | 34 | | 38 | 18 | | 39 | 11 | | 40 | 11 | | 41 | 21 | | 42 | 12 | | 43 | 15 | | 44 | 8 | | 45 | 14 | | 46 | 13 | | 47 | 19 | | 48 | 13 | | 49 | 6 |
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| 100.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.6470588235294118 | | totalSentences | 68 | | uniqueOpeners | 44 | |
| 66.67% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 50 | | matches | | 0 | "Perfectly manicured topiaries lined crushed" |
| | ratio | 0.02 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 11 | | totalSentences | 50 | | matches | | 0 | "They had crossed into Dymas," | | 1 | "Her hand instinctively went to" | | 2 | "It pulsed gently against her" | | 3 | "She hoped she wouldn't need" | | 4 | "They crested a hill and" | | 5 | "They deposited their burdens in" | | 6 | "He leered at them and" | | 7 | "His touch made her skin" | | 8 | "She felt more than saw" | | 9 | "She fixed the glowering demon" | | 10 | "He smiled, a nasty thing" |
| | ratio | 0.22 | |
| 50.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 41 | | totalSentences | 50 | | matches | | 0 | "Rory stepped through the shimmering" | | 1 | "Nyx and Isolde followed close" | | 2 | "The air hummed with energy" | | 3 | "They had crossed into Dymas," | | 4 | "Amber skies stretched overhead, bathing" | | 5 | "The air was heady with" | | 6 | "Her hand instinctively went to" | | 7 | "It pulsed gently against her" | | 8 | "Nyx flowed past her in" | | 9 | "Violet eyes surveyed the alien" | | 10 | "Isolde's lilting voice was oddly" | | 11 | "Rory fell into step beside" | | 12 | "A gift from Isolde, the" | | 13 | "She hoped she wouldn't need" | | 14 | "They crested a hill and" | | 15 | "Fountains jetted glittering water from" | | 16 | "Flowers bloomed in unnatural neon" | | 17 | "Workers, Rory realized with a" | | 18 | "They deposited their burdens in" | | 19 | "Nyx circled the scene in" |
| | ratio | 0.82 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 50 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 1 | | matches | | 0 | "Nyx flowed past her in a swirl of shadow, their form shifting and condensing." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 54.76% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "Rory muttered (mutter)" | | 1 | "Isolde murmured (murmur)" |
| | dialogueSentences | 21 | | tagDensity | 0.095 | | leniency | 0.19 | | rawRatio | 1 | | effectiveRatio | 0.19 | |