| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 82.96% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 587 | | totalAiIsmAdverbs | 2 | | 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) | |
| 6.30% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 587 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "weight" | | 1 | "pulse" | | 2 | "loomed" | | 3 | "pulsed" | | 4 | "stomach" | | 5 | "warmth" | | 6 | "whisper" |
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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 | 58 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 58 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 58 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 11 | | markdownWords | 11 | | totalWords | 583 | | ratio | 0.019 | | matches | | 0 | "wrong" | | 1 | "shifted" | | 2 | "listening" | | 3 | "off" | | 4 | "wrong" | | 5 | "else" | | 6 | "knowing" | | 7 | "else" | | 8 | "moved" | | 9 | "run" | | 10 | "stay" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 98.54% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 13 | | wordCount | 583 | | uniqueNames | 7 | | maxNameDensity | 1.03 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Carter | 1 | | Fae | 2 | | Grove | 1 | | Heartstone | 1 | | Aurora | 6 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" |
| | globalScore | 0.985 | | windowScore | 1 | |
| 18.42% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 38 | | glossingSentenceCount | 2 | | matches | | 0 | "not quite human, not quite anything she’d ever heard before" | | 1 | "not quite anything she’d ever heard before" | | 2 | "quite a shape at all" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 2 | | per1kWords | 3.431 | | wordCount | 583 | | matches | | 0 | "not of trees or birds, but of voices" | | 1 | "not just warmth, but something *else*" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 58 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 17 | | mean | 34.29 | | std | 23.3 | | cv | 0.679 | | sampleLengths | | 0 | 85 | | 1 | 61 | | 2 | 54 | | 3 | 71 | | 4 | 21 | | 5 | 4 | | 6 | 41 | | 7 | 31 | | 8 | 33 | | 9 | 42 | | 10 | 2 | | 11 | 38 | | 12 | 29 | | 13 | 6 | | 14 | 41 | | 15 | 18 | | 16 | 6 |
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| 93.16% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 58 | | matches | | 0 | "been told" | | 1 | "was supposed" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 85 | | matches | | 0 | "were watching" | | 1 | "wasn’t asking" | | 2 | "was telling" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 58 | | ratio | 0.103 | | matches | | 0 | "The air in Richmond Park was thick with the scent of damp earth and something older, something *wrong*—like the first breath of autumn before the leaves had fallen." | | 1 | "Still, the way it glowed when she pressed her palm against it—like it was *listening*—made her fingers twitch." | | 2 | "The wind carried whispers, not of trees or birds, but of voices—soft, distant, *wrong*." | | 3 | "Just the rustle of leaves, the distant hoot of an owl—nothing else." | | 4 | "She reached for it, her fingers brushing the chain, and the glow intensified—not just warmth, but something *else*." | | 5 | "The standing stones loomed before her, their carvings worn but unmistakable—old, ancient." |
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| 99.22% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 587 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.04088586030664395 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.005110732538330494 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 58 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 58 | | mean | 10.05 | | std | 7.19 | | cv | 0.715 | | sampleLengths | | 0 | 28 | | 1 | 28 | | 2 | 7 | | 3 | 3 | | 4 | 19 | | 5 | 23 | | 6 | 17 | | 7 | 21 | | 8 | 10 | | 9 | 26 | | 10 | 18 | | 11 | 16 | | 12 | 7 | | 13 | 16 | | 14 | 4 | | 15 | 14 | | 16 | 14 | | 17 | 2 | | 18 | 7 | | 19 | 12 | | 20 | 4 | | 21 | 2 | | 22 | 3 | | 23 | 3 | | 24 | 18 | | 25 | 3 | | 26 | 2 | | 27 | 2 | | 28 | 8 | | 29 | 7 | | 30 | 5 | | 31 | 1 | | 32 | 14 | | 33 | 4 | | 34 | 14 | | 35 | 12 | | 36 | 7 | | 37 | 3 | | 38 | 10 | | 39 | 18 | | 40 | 11 | | 41 | 2 | | 42 | 12 | | 43 | 12 | | 44 | 3 | | 45 | 3 | | 46 | 8 | | 47 | 6 | | 48 | 3 | | 49 | 3 |
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| 36.21% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.27586206896551724 | | totalSentences | 58 | | uniqueOpeners | 16 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 52 | | matches | | 0 | "Just the rustle of leaves," | | 1 | "Then she saw it." |
| | ratio | 0.038 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 52 | | matches | | 0 | "She had come here for" | | 1 | "She had been told the" | | 2 | "She moved quickly, her boots" | | 3 | "Her ears strained, but there" | | 4 | "She didn’t turn." | | 5 | "She told herself it was" | | 6 | "It slithered into her mind," | | 7 | "She reached for it, her" | | 8 | "She should run." | | 9 | "She should *run*." | | 10 | "It was telling her to" | | 11 | "She had come to find" |
| | ratio | 0.231 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 35 | | totalSentences | 52 | | matches | | 0 | "The air in Richmond Park" | | 1 | "Aurora Carter adjusted the strap" | | 2 | "She had come here for" | | 3 | "The Fae Grove." | | 4 | "The place where time didn’t" | | 5 | "She had been told the" | | 6 | "The trees loomed taller than" | | 7 | "The sky above was too" | | 8 | "Aurora exhaled sharply, her breath" | | 9 | "The Heartstone pendant at her" | | 10 | "She moved quickly, her boots" | | 11 | "The grove was supposed to" | | 12 | "A place where the veil" | | 13 | "The wind carried whispers, not" | | 14 | "Her ears strained, but there" | | 15 | "Something *else* moving just beyond" | | 16 | "She didn’t turn." | | 17 | "She told herself it was" | | 18 | "That the grove was just…" | | 19 | "That the standing stones were" |
| | ratio | 0.673 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 27 | | technicalSentenceCount | 1 | | matches | | 0 | "The sky above was too still, the stars too bright, their edges bleeding into the darkness like they were watching her." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |