| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1226 | | totalAiIsmAdverbs | 0 | | found | (empty) | | highlights | (empty) | |
| 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) | |
| 6.20% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1226 | | totalAiIsms | 23 | | found | | | highlights | | 0 | "throbbed" | | 1 | "velvet" | | 2 | "weight" | | 3 | "familiar" | | 4 | "sentinels" | | 5 | "could feel" | | 6 | "silence" | | 7 | "echo" | | 8 | "whisper" | | 9 | "scanning" | | 10 | "warmth" | | 11 | "echoing" | | 12 | "pulsed" | | 13 | "echoed" | | 14 | "chill" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | 0 | "eyes narrowed" | | 1 | "clenched her fist" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 129 | | matches | (empty) | |
| 87.49% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 5 | | narrationSentences | 129 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 132 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 23 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 6 | | totalWords | 1226 | | ratio | 0.005 | | matches | | 0 | "Stop it" | | 1 | "their" | | 2 | "things in them" |
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| 62.50% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 1 | | matches | | 0 | "*Stop it*, she told herself." |
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| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 16 | | wordCount | 1212 | | uniqueNames | 4 | | maxNameDensity | 0.74 | | worstName | "Aurora" | | maxWindowNameDensity | 1 | | worstWindowName | "Grove" | | discoveredNames | | Heartstone | 2 | | Grove | 3 | | Isolde | 2 | | Aurora | 9 |
| | persons | | | places | | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 91 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.816 | | wordCount | 1226 | | matches | | 0 | "not walking, but gliding over the ground" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 132 | | matches | (empty) | |
| 89.89% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 27 | | mean | 45.41 | | std | 21.1 | | cv | 0.465 | | sampleLengths | | 0 | 76 | | 1 | 63 | | 2 | 70 | | 3 | 55 | | 4 | 19 | | 5 | 60 | | 6 | 3 | | 7 | 68 | | 8 | 30 | | 9 | 60 | | 10 | 28 | | 11 | 3 | | 12 | 39 | | 13 | 48 | | 14 | 72 | | 15 | 54 | | 16 | 69 | | 17 | 31 | | 18 | 59 | | 19 | 55 | | 20 | 58 | | 21 | 17 | | 22 | 39 | | 23 | 49 | | 24 | 49 | | 25 | 8 | | 26 | 44 |
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| 99.82% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 129 | | matches | | 0 | "were hunched" | | 1 | "was gone" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 10 | | totalVerbs | 195 | | matches | | 0 | "was waiting" | | 1 | "was responding" | | 2 | "wasn't warning" | | 3 | "was reacting" | | 4 | "were herding" | | 5 | "was burning" | | 6 | "was glowing" | | 7 | "wasn't retreating" | | 8 | "was waiting" | | 9 | "weren't watching" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 132 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1219 | | adjectiveStacks | 2 | | stackExamples | | 0 | "damp, moss-covered wood" | | 1 | "frantic, red-hot coal." |
| | adverbCount | 35 | | adverbRatio | 0.02871205906480722 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004922067268252666 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 132 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 132 | | mean | 9.29 | | std | 5.42 | | cv | 0.584 | | sampleLengths | | 0 | 7 | | 1 | 18 | | 2 | 13 | | 3 | 19 | | 4 | 19 | | 5 | 7 | | 6 | 8 | | 7 | 18 | | 8 | 17 | | 9 | 2 | | 10 | 9 | | 11 | 2 | | 12 | 15 | | 13 | 4 | | 14 | 7 | | 15 | 18 | | 16 | 12 | | 17 | 14 | | 18 | 14 | | 19 | 17 | | 20 | 5 | | 21 | 15 | | 22 | 4 | | 23 | 13 | | 24 | 6 | | 25 | 2 | | 26 | 5 | | 27 | 16 | | 28 | 5 | | 29 | 20 | | 30 | 12 | | 31 | 3 | | 32 | 4 | | 33 | 3 | | 34 | 2 | | 35 | 14 | | 36 | 16 | | 37 | 6 | | 38 | 23 | | 39 | 5 | | 40 | 13 | | 41 | 12 | | 42 | 8 | | 43 | 11 | | 44 | 17 | | 45 | 3 | | 46 | 6 | | 47 | 7 | | 48 | 8 | | 49 | 4 |
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| 31.82% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 24 | | diversityRatio | 0.24242424242424243 | | totalSentences | 132 | | uniqueOpeners | 32 | |
| 82.64% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 121 | | matches | | 0 | "Instead, they were hunched, twisted" | | 1 | "Even the silence was wrong." | | 2 | "Just the twisted trees and" |
| | ratio | 0.025 | |
| 58.02% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 49 | | totalSentences | 121 | | matches | | 0 | "She could taste the metallic" | | 1 | "Her left wrist throbbed, the" | | 2 | "She had come here for" | | 3 | "She scrambled for it, found" | | 4 | "She was here to return" | | 5 | "She could feel them watching," | | 6 | "It wasn't the quiet of" | | 7 | "She took a step forward." | | 8 | "She froze, listening." | | 9 | "It was faint, almost lost" | | 10 | "It slithered through the trees," | | 11 | "Her imagination was a traitor," | | 12 | "She was here to do" | | 13 | "She pulled the velvet pouch" | | 14 | "She loosened the drawstring and" | | 15 | "It was responding." | | 16 | "She was in the right" | | 17 | "It was closer now." | | 18 | "It didn't slither this time," | | 19 | "Her words dropped into the" |
| | ratio | 0.405 | |
| 26.12% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 105 | | totalSentences | 121 | | matches | | 0 | "Blood filled her mouth, sharp" | | 1 | "Aurora spat onto the grass" | | 2 | "She could taste the metallic" | | 3 | "The world spun for a" | | 4 | "Her left wrist throbbed, the" | | 5 | "She had come here for" | | 6 | "The thought felt slippery, difficult" | | 7 | "She scrambled for it, found" | | 8 | "The weight of it was" | | 9 | "She was here to return" | | 10 | "Aurora stood, brushing blades of" | | 11 | "The Grove was wrong." | | 12 | "That was the only word" | | 13 | "The ancient oaks should have" | | 14 | "She could feel them watching," | | 15 | "The air tasted of loam" | | 16 | "The wildflowers that bloomed year-round" | | 17 | "It wasn't the quiet of" | | 18 | "The world was waiting." | | 19 | "Aurora muttered, her voice a" |
| | ratio | 0.868 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 121 | | matches | (empty) | | ratio | 0 | |
| 90.91% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 55 | | technicalSentenceCount | 4 | | matches | | 0 | "Her left wrist throbbed, the small crescent scar there pulsing as though it had a heartbeat of its own." | | 1 | "She could feel them watching, a silent, vegetable malice that bristled against her skin." | | 2 | "The wildflowers that bloomed year-round in this place were all closed, tight buds huddled against their stems." | | 3 | "It was a high, childish giggle, a wet, bubbling noise that came from everywhere and nowhere at once." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | 0 | "Aurora muttered, her voice a flat, unwelcome sound in the still air" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Aurora muttered (mutter)" |
| | dialogueSentences | 5 | | tagDensity | 0.4 | | leniency | 0.8 | | rawRatio | 0.5 | | effectiveRatio | 0.4 | |