| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 200 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 200 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "traced" | | 1 | "warmth" | | 2 | "loomed" | | 3 | "sentinels" | | 4 | "flickered" | | 5 | "echoed" | | 6 | "perfect" | | 7 | "etched" | | 8 | "intricate" | | 9 | "scanning" |
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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 | 15 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 15 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 17 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 201 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 2 | | unquotedAttributions | 0 | | matches | (empty) | |
| 97.37% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 7 | | wordCount | 190 | | uniqueNames | 5 | | maxNameDensity | 1.05 | | worstName | "Nyx" | | maxWindowNameDensity | 1 | | worstWindowName | "Nyx" | | discoveredNames | | Heartstone | 1 | | Fae | 1 | | Grove | 1 | | Nyx | 2 | | Aurora | 2 |
| | persons | | | places | | | globalScore | 0.974 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 11 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 201 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 17 | | matches | (empty) | |
| 72.70% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 6 | | mean | 33.5 | | std | 13.55 | | cv | 0.404 | | sampleLengths | | |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 15 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 31 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 17 | | ratio | 0.118 | | matches | | 0 | "No footprints marked her passage through the lush ground where wildflowers bloomed impossibly — summer and winter blended in a single breath." | | 1 | "Her watch showed 3:47 PM, but the light here defied conventional time — soft and golden, yet without a discernible source." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 189 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.026455026455026454 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.015873015873015872 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 17 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 17 | | mean | 11.82 | | std | 7.01 | | cv | 0.593 | | sampleLengths | | 0 | 21 | | 1 | 19 | | 2 | 13 | | 3 | 15 | | 4 | 22 | | 5 | 12 | | 6 | 4 | | 7 | 2 | | 8 | 5 | | 9 | 4 | | 10 | 11 | | 11 | 21 | | 12 | 21 | | 13 | 15 | | 14 | 8 | | 15 | 5 | | 16 | 3 |
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| 100.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.6470588235294118 | | totalSentences | 17 | | uniqueOpeners | 11 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 14 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 2 | | totalSentences | 14 | | matches | | 0 | "Her watch showed 3:47 PM," | | 1 | "she said, not turning" |
| | ratio | 0.143 | |
| 31.43% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 12 | | totalSentences | 14 | | matches | | 0 | "Aurora's fingers traced the curve" | | 1 | "The standing stones of the" | | 2 | "Isolde moved ahead, her silver" | | 3 | "Nyx whispered, their voice like" | | 4 | "The air felt thick, malleable." | | 5 | "Moments stretched and compressed." | | 6 | "A bird's distant call echoed" | | 7 | "Her watch showed 3:47 PM," | | 8 | "The standing stones formed a" | | 9 | "Moss clung to their bases" | | 10 | "Isolde stopped, her lavender eyes" | | 11 | "she said, not turning" |
| | ratio | 0.857 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 14 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 9 | | technicalSentenceCount | 2 | | matches | | 0 | "Isolde moved ahead, her silver hair floating as if suspended in water despite the stillness." | | 1 | "A bird's distant call echoed as if from multiple directions simultaneously." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 1 | | matches | | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 1 | | fancyTags | | 0 | "Nyx whispered (whisper)" |
| | dialogueSentences | 4 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.5 | | effectiveRatio | 0.5 | |