| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.60% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 532 | | 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 | 532 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulsed" | | 2 | "footsteps" | | 3 | "whisper" | | 4 | "pulse" | | 5 | "rhythmic" | | 6 | "stomach" | | 7 | "silence" | | 8 | "loomed" |
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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 | 72 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 72 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 72 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 528 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 73.95% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 526 | | uniqueNames | 6 | | maxNameDensity | 1.52 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 2 | | Rory | 8 | | Richmond | 1 | | Park | 1 | | Eva | 2 | | Isolde | 1 |
| | persons | | | places | | | globalScore | 0.74 | | windowScore | 1 | |
| 80.56% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 36 | | glossingSentenceCount | 1 | | matches | | 0 | "smelled like rotting petals and old blood" |
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| 10.61% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.894 | | wordCount | 528 | | matches | | 0 | "not the damp earth and wildflowers of Richmond Park, but something older, greener" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 72 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 32 | | mean | 16.5 | | std | 16.09 | | cv | 0.975 | | sampleLengths | | 0 | 16 | | 1 | 47 | | 2 | 42 | | 3 | 5 | | 4 | 42 | | 5 | 4 | | 6 | 55 | | 7 | 33 | | 8 | 8 | | 9 | 9 | | 10 | 3 | | 11 | 38 | | 12 | 7 | | 13 | 25 | | 14 | 21 | | 15 | 3 | | 16 | 1 | | 17 | 1 | | 18 | 15 | | 19 | 16 | | 20 | 7 | | 21 | 6 | | 22 | 3 | | 23 | 5 | | 24 | 48 | | 25 | 5 | | 26 | 25 | | 27 | 7 | | 28 | 22 | | 29 | 6 | | 30 | 2 | | 31 | 1 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 72 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 90 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 4 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 72 | | ratio | 0.056 | | matches | | 0 | "The air smelled wrong too—not the damp earth and wildflowers of Richmond Park, but something older, greener." | | 1 | "The grove didn’t obey normal geography—she’d learned that the hard way last time." | | 2 | "Another sound—soft, rhythmic." | | 3 | "Then—" |
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| 87.73% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 530 | | adjectiveStacks | 1 | | stackExamples | | | adverbCount | 25 | | adverbRatio | 0.04716981132075472 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.013207547169811321 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 72 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 72 | | mean | 7.33 | | std | 6.11 | | cv | 0.834 | | sampleLengths | | 0 | 16 | | 1 | 7 | | 2 | 6 | | 3 | 16 | | 4 | 17 | | 5 | 1 | | 6 | 9 | | 7 | 12 | | 8 | 21 | | 9 | 5 | | 10 | 2 | | 11 | 16 | | 12 | 17 | | 13 | 3 | | 14 | 3 | | 15 | 1 | | 16 | 4 | | 17 | 13 | | 18 | 13 | | 19 | 29 | | 20 | 18 | | 21 | 15 | | 22 | 8 | | 23 | 6 | | 24 | 2 | | 25 | 1 | | 26 | 3 | | 27 | 11 | | 28 | 5 | | 29 | 6 | | 30 | 16 | | 31 | 7 | | 32 | 3 | | 33 | 1 | | 34 | 5 | | 35 | 1 | | 36 | 1 | | 37 | 1 | | 38 | 13 | | 39 | 12 | | 40 | 9 | | 41 | 3 | | 42 | 1 | | 43 | 1 | | 44 | 15 | | 45 | 3 | | 46 | 2 | | 47 | 11 | | 48 | 7 | | 49 | 6 |
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| 78.70% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.5138888888888888 | | totalSentences | 72 | | uniqueOpeners | 37 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 51 | | matches | | 0 | "Just an animal." | | 1 | "Just the primal urge to" |
| | ratio | 0.039 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 13 | | totalSentences | 51 | | matches | | 0 | "She froze, fingers brushing the" | | 1 | "It had never done that" | | 2 | "she muttered, adjusting the strap" | | 3 | "She exhaled slowly." | | 4 | "She moved forward, boots sinking" | | 5 | "She wiped her hand on" | | 6 | "Her pulse hammered in her" | | 7 | "She’d met exactly one person" | | 8 | "Her lungs burned." | | 9 | "She skidded to a stop." | | 10 | "She’d run in a straight" | | 11 | "She’d made sure of it." | | 12 | "It seared her palm, its" |
| | ratio | 0.255 | |
| 18.82% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 45 | | totalSentences | 51 | | matches | | 0 | "The Heartstone pendant burned against" | | 1 | "She froze, fingers brushing the" | | 2 | "It had never done that" | | 3 | "The usual faint warmth had" | | 4 | "The air smelled wrong too—not" | | 5 | "she muttered, adjusting the strap" | | 6 | "Eva would kill her if" | | 7 | "A twig snapped behind her." | | 8 | "Nothing but the grove’s dense" | | 9 | "The trees here grew too" | | 10 | "She exhaled slowly." | | 11 | "The pendant pulsed again." | | 12 | "She moved forward, boots sinking" | | 13 | "The grove didn’t obey normal" | | 14 | "This time, she kept one" | | 15 | "The bark split under her" | | 16 | "She wiped her hand on" | | 17 | "A whisper curled through the" | | 18 | "Rory went still." | | 19 | "The voice came again, too" |
| | ratio | 0.882 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 51 | | matches | (empty) | | ratio | 0 | |
| 23.81% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 4 | | matches | | 0 | "Nothing but the grove’s dense foliage, leaves trembling in a breeze that didn’t reach her skin." | | 1 | "The trees here grew too close together, their gnarled branches weaving a canopy that swallowed the moonlight." | | 2 | "Twenty minutes of walking in what should’ve been a straight line had spat her out right back at the standing stones, her watch insisting only three minutes had …" | | 3 | "Something dragged between them, a wet, heavy sound that made her stomach twist." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 2 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |