| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.99% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1248 | | totalAiIsmAdverbs | 1 | | found | | | highlights | | |
| 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1248 | | totalAiIsms | 25 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | |
| | highlights | | 0 | "loomed" | | 1 | "fractured" | | 2 | "warmth" | | 3 | "comforting" | | 4 | "familiar" | | 5 | "gloom" | | 6 | "electric" | | 7 | "silence" | | 8 | "oppressive" | | 9 | "flickered" | | 10 | "resonated" | | 11 | "pulsed" | | 12 | "chilling" | | 13 | "intensity" | | 14 | "trembled" | | 15 | "could feel" | | 16 | "intricate" | | 17 | "echoing" | | 18 | "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 | 109 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 12 | | narrationSentences | 109 | | filterMatches | (empty) | | hedgeMatches | | 0 | "happened to" | | 1 | "seemed to" | | 2 | "tried to" | | 3 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 115 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1246 | | ratio | 0 | | matches | (empty) | |
| 83.33% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 1 | | matches | | 0 | "Just another trick of the light, she told herself." |
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| 54.25% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1201 | | uniqueNames | 11 | | maxNameDensity | 1.92 | | worstName | "Aurora" | | maxWindowNameDensity | 3 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Richmond | 2 | | Park | 2 | | Londoners | 1 | | Aurora | 23 | | Heartstone | 2 | | Eva | 3 | | Fae | 2 | | Grove | 7 | | Isolde | 2 | | London | 1 |
| | persons | | 0 | "Carter" | | 1 | "Aurora" | | 2 | "Eva" | | 3 | "Isolde" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" | | 4 | "London" |
| | globalScore | 0.542 | | windowScore | 0.667 | |
| 35.06% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 87 | | glossingSentenceCount | 4 | | matches | | 0 | "And apparently, Aurora was the onl" | | 1 | "patterns that seemed to shift when she looked directly at them" | | 2 | "symbols that seemed to writhe on the page" | | 3 | "thorns that seemed to grab at her clothes" |
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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 | 1246 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 115 | | matches | | |
| 75.77% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 31 | | mean | 40.19 | | std | 16.69 | | cv | 0.415 | | sampleLengths | | 0 | 67 | | 1 | 52 | | 2 | 56 | | 3 | 55 | | 4 | 52 | | 5 | 56 | | 6 | 14 | | 7 | 37 | | 8 | 51 | | 9 | 50 | | 10 | 15 | | 11 | 43 | | 12 | 48 | | 13 | 14 | | 14 | 22 | | 15 | 43 | | 16 | 44 | | 17 | 53 | | 18 | 9 | | 19 | 36 | | 20 | 40 | | 21 | 10 | | 22 | 44 | | 23 | 51 | | 24 | 46 | | 25 | 8 | | 26 | 39 | | 27 | 49 | | 28 | 27 | | 29 | 49 | | 30 | 66 |
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| 89.17% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 5 | | totalSentences | 109 | | matches | | 0 | "were tucked" | | 1 | "been stolen" | | 2 | "was gone" | | 3 | "was tucked" | | 4 | "being followed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 214 | | matches | | 0 | "was comforting" | | 1 | "was getting" | | 2 | "was playing" |
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| 93.17% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 115 | | ratio | 0.017 | | matches | | 0 | "Something moved in the corner of her vision—tall and impossibly thin, with limbs that bent at wrong angles." | | 1 | "She had the book—Isolde's grimoire was tucked safely inside." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1208 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 48 | | adverbRatio | 0.039735099337748346 | | lyAdverbCount | 14 | | lyAdverbRatio | 0.011589403973509934 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 115 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 115 | | mean | 10.83 | | std | 5.92 | | cv | 0.546 | | sampleLengths | | 0 | 13 | | 1 | 5 | | 2 | 3 | | 3 | 1 | | 4 | 25 | | 5 | 6 | | 6 | 14 | | 7 | 14 | | 8 | 19 | | 9 | 19 | | 10 | 15 | | 11 | 13 | | 12 | 17 | | 13 | 11 | | 14 | 13 | | 15 | 2 | | 16 | 7 | | 17 | 14 | | 18 | 19 | | 19 | 23 | | 20 | 18 | | 21 | 11 | | 22 | 5 | | 23 | 30 | | 24 | 21 | | 25 | 12 | | 26 | 2 | | 27 | 2 | | 28 | 10 | | 29 | 7 | | 30 | 10 | | 31 | 8 | | 32 | 7 | | 33 | 7 | | 34 | 15 | | 35 | 10 | | 36 | 12 | | 37 | 8 | | 38 | 15 | | 39 | 1 | | 40 | 9 | | 41 | 17 | | 42 | 10 | | 43 | 5 | | 44 | 11 | | 45 | 11 | | 46 | 5 | | 47 | 16 | | 48 | 7 | | 49 | 13 |
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| 34.20% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 19 | | diversityRatio | 0.30434782608695654 | | totalSentences | 115 | | uniqueOpeners | 35 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 5 | | totalSentences | 101 | | matches | | 0 | "Most sensible Londoners were tucked" | | 1 | "Just the oppressive silence and" | | 2 | "Just shadows clinging to the" | | 3 | "Just another trick of the" | | 4 | "Only five minutes had passed." |
| | ratio | 0.05 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 101 | | matches | | 0 | "She was late." | | 1 | "She slipped through the gates," | | 2 | "She pulled the Heartstone pendant" | | 3 | "Her voice sounded thin and" | | 4 | "Its glow intensified, casting crimson" | | 5 | "She stepped forward, leaving the" | | 6 | "She pocketed the phone, her" | | 7 | "She took a deep breath" | | 8 | "It looked ancient, its leather" | | 9 | "She wasn't alone in the" | | 10 | "She could feel eyes on" | | 11 | "Her fingers brushed against the" | | 12 | "She had to get out." | | 13 | "She collapsed against an oak" | | 14 | "She pulled out her phone." | | 15 | "She had the book—Isolde's grimoire" | | 16 | "It had always been her" | | 17 | "She wasn't sure if she" |
| | ratio | 0.178 | |
| 29.31% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 87 | | totalSentences | 101 | | matches | | 0 | "Aurora Carter adjusted the strap" | | 1 | "The screen showed 11:37 PM." | | 2 | "She was late." | | 3 | "Silas would be waiting, probably" | | 4 | "The note tucked into her" | | 5 | "The Richmond Park entrance loomed" | | 6 | "She slipped through the gates," | | 7 | "The path ahead was barely" | | 8 | "Aurora's boots crunched on fallen" | | 9 | "She pulled the Heartstone pendant" | | 10 | "The warmth was comforting, a" | | 11 | "Something that belonged to Eva's" | | 12 | "The pendant had grown warmer" | | 13 | "The standing stones emerged from" | | 14 | "The air changed here, thickening" | | 15 | "The temperature dropped ten degrees" | | 16 | "Aurora hesitated at the threshold." | | 17 | "The Grove beyond should have" | | 18 | "The wildflowers that supposedly bloomed" | | 19 | "Her voice sounded thin and" |
| | ratio | 0.861 | |
| 49.50% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 101 | | matches | | | ratio | 0.01 | |
| 63.49% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 63 | | technicalSentenceCount | 7 | | matches | | 0 | "Silas would be waiting, probably tapping his foot behind the bar of his establishment, which happened to be directly below the flat she called home." | | 1 | "She slipped through the gates, the latch clicking shut behind her with a finality that made her skin prickle." | | 2 | "The Grove beyond should have been empty this time of night, but silence pressed against her eardrums, a heavy blanket that muffled the sounds of London she'd ju…" | | 3 | "The moonlight above seemed to dim, as if clouds had gathered, but when Aurora looked up, the sky was clear and stars burned with an unnatural intensity." | | 4 | "Pages flipped themselves, revealing intricate diagrams and symbols that seemed to writhe on the page." | | 5 | "She collapsed against an oak tree, gasping for breath, her heart hammering against her ribs." | | 6 | "Aurora started walking, her eyes darting to the shadows at the edge of the path." |
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| 41.67% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 1 | | matches | | 0 | "Aurora called, her voice steadier than she felt" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "Aurora breathed (breathe)" | | 1 | "the voices hissed (hiss)" | | 2 | "they chanted (chant)" |
| | dialogueSentences | 12 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.75 | | effectiveRatio | 0.5 | |