| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 17 | | tagDensity | 0.176 | | leniency | 0.353 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 81.34% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 536 | | 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) | |
| 16.04% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 536 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "pulsed" | | 1 | "flickered" | | 2 | "scanning" | | 3 | "intensity" | | 4 | "shimmered" | | 5 | "silk" | | 6 | "searing" | | 7 | "pulse" | | 8 | "chill" |
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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 | 46 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 46 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 60 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 22 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 2 | | markdownWords | 2 | | totalWords | 532 | | ratio | 0.004 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 51.96% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 22 | | wordCount | 459 | | uniqueNames | 5 | | maxNameDensity | 1.96 | | worstName | "Aurora" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 9 | | Heartstone | 1 | | Nyx | 5 | | Fae | 2 | | Isolde | 5 |
| | persons | | | places | | | globalScore | 0.52 | | windowScore | 0.833 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 12.03% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 1.88 | | wordCount | 532 | | matches | | 0 | "not sap, but liquid light, slow-dripping onto the moss below" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 22.17 | | std | 12.33 | | cv | 0.556 | | sampleLengths | | 0 | 49 | | 1 | 28 | | 2 | 24 | | 3 | 13 | | 4 | 49 | | 5 | 12 | | 6 | 35 | | 7 | 24 | | 8 | 26 | | 9 | 38 | | 10 | 6 | | 11 | 34 | | 12 | 23 | | 13 | 22 | | 14 | 9 | | 15 | 10 | | 16 | 8 | | 17 | 17 | | 18 | 11 | | 19 | 13 | | 20 | 15 | | 21 | 30 | | 22 | 29 | | 23 | 7 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 46 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 84 | | matches | | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 3 | | semicolonCount | 0 | | flaggedSentences | 3 | | totalSentences | 60 | | ratio | 0.05 | | matches | | 0 | "Bark peeled away in places, revealing veins of something luminous beneath—not sap, but liquid light, slow-dripping onto the moss below." | | 1 | "The branches weren’t just growing—they were *breathing*, pulsing in a rhythm too slow to be natural." | | 2 | "Between the trees, a figure emerged—tall, slender, their skin the color of birch bark, their eyes hollow pits of twilight." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 463 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.032397408207343416 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.01079913606911447 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 60 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 60 | | mean | 8.87 | | std | 5.19 | | cv | 0.586 | | sampleLengths | | 0 | 19 | | 1 | 12 | | 2 | 18 | | 3 | 18 | | 4 | 10 | | 5 | 10 | | 6 | 12 | | 7 | 2 | | 8 | 5 | | 9 | 8 | | 10 | 19 | | 11 | 20 | | 12 | 10 | | 13 | 7 | | 14 | 5 | | 15 | 13 | | 16 | 5 | | 17 | 14 | | 18 | 3 | | 19 | 3 | | 20 | 8 | | 21 | 7 | | 22 | 6 | | 23 | 5 | | 24 | 16 | | 25 | 5 | | 26 | 19 | | 27 | 7 | | 28 | 10 | | 29 | 2 | | 30 | 3 | | 31 | 3 | | 32 | 20 | | 33 | 14 | | 34 | 6 | | 35 | 17 | | 36 | 5 | | 37 | 10 | | 38 | 7 | | 39 | 6 | | 40 | 3 | | 41 | 10 | | 42 | 6 | | 43 | 2 | | 44 | 8 | | 45 | 9 | | 46 | 6 | | 47 | 5 | | 48 | 3 | | 49 | 10 |
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| 59.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.4166666666666667 | | totalSentences | 60 | | uniqueOpeners | 25 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 6 | | totalSentences | 44 | | matches | | 0 | "Their voice curled around the" | | 1 | "She frowned, lifting her foot." | | 2 | "They knelt, pressing a hand" | | 3 | "She grabbed it instinctively, the" | | 4 | "They moved without sound, their" | | 5 | "She drew it, the moonsilver" |
| | ratio | 0.136 | |
| 5.45% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 40 | | totalSentences | 44 | | matches | | 0 | "The air smelled of honey" | | 1 | "The Heartstone pendant pulsed against" | | 2 | "Isolde murmured, her silver hair" | | 3 | "The wildflowers beneath their feet" | | 4 | "Aurora crouched, brushing her fingers" | | 5 | "The petals shimmered like crushed" | | 6 | "Their voice curled around the" | | 7 | "The trees arched overhead, their" | | 8 | "Bark peeled away in places," | | 9 | "The moss swallowed it hungrily," | | 10 | "Isolde moved ahead, her lavender" | | 11 | "Aurora’s boot sank slightly into" | | 12 | "She frowned, lifting her foot." | | 13 | "They knelt, pressing a hand" | | 14 | "The shadows around their fingers" | | 15 | "Aurora followed their gaze upward." | | 16 | "The branches weren’t just growing—they" | | 17 | "The leaves shivered without wind." | | 18 | "A sound rippled through the" | | 19 | "The pendant flared hot against" |
| | ratio | 0.909 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 44 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 1 | | matches | | 0 | "The trees arched overhead, their trunks twisted into shapes that made Aurora’s eyes ache if she stared too long." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 32.35% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "Isolde murmured (murmur)" | | 1 | "Nyx whispered (whisper)" |
| | dialogueSentences | 17 | | tagDensity | 0.176 | | leniency | 0.353 | | rawRatio | 0.667 | | effectiveRatio | 0.235 | |