| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 5 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 79.92% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 249 | | 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 | 249 | | totalAiIsms | 5 | | found | | | highlights | | 0 | "pulsed" | | 1 | "scanned" | | 2 | "pulse" | | 3 | "silk" | | 4 | "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 | 19 | | matches | (empty) | |
| 67.67% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 19 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 21 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 251 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 61.89% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 12 | | wordCount | 227 | | uniqueNames | 7 | | maxNameDensity | 1.76 | | worstName | "Aurora" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 4 | | Heartstone | 1 | | Golden | 1 | | Empress | 1 | | Wildflowers | 2 | | Fae-forged | 1 | | Nyx | 2 |
| | persons | | 0 | "Aurora" | | 1 | "Wildflowers" | | 2 | "Nyx" |
| | places | | | globalScore | 0.619 | | windowScore | 1 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 16 | | glossingSentenceCount | 1 | | matches | | 0 | "landscape that seemed to breathe and pulse with its own consciousness" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 251 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 21 | | matches | (empty) | |
| 83.88% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 7 | | mean | 35.86 | | std | 15.91 | | cv | 0.444 | | sampleLengths | | |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 19 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 40 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 21 | | ratio | 0.095 | | matches | | 0 | "Wildflowers unlike any she'd seen before carpeted the ground — petals shimmering with an inner luminescence that pulsed softly, changing colors with each breath." | | 1 | "The sky overhead was impossible — simultaneously twilight and dawn, colors blending and separating like watercolors." |
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| 83.20% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 227 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 13 | | adverbRatio | 0.05726872246696035 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.022026431718061675 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 21 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 21 | | mean | 11.95 | | std | 6.18 | | cv | 0.517 | | sampleLengths | | 0 | 13 | | 1 | 24 | | 2 | 9 | | 3 | 11 | | 4 | 18 | | 5 | 13 | | 6 | 9 | | 7 | 18 | | 8 | 24 | | 9 | 20 | | 10 | 11 | | 11 | 13 | | 12 | 6 | | 13 | 8 | | 14 | 3 | | 15 | 2 | | 16 | 10 | | 17 | 16 | | 18 | 13 | | 19 | 4 | | 20 | 6 |
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| 100.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.7142857142857143 | | totalSentences | 21 | | uniqueOpeners | 15 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 18 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 4 | | totalSentences | 18 | | matches | | 0 | "they whispered, the sound like" | | 1 | "Her delivery uniform from the" | | 2 | "Her pale lavender eyes held" | | 3 | "she said, each word a" |
| | ratio | 0.222 | |
| 15.56% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 16 | | totalSentences | 18 | | matches | | 0 | "The air shifted, thickening like" | | 1 | "Wildflowers unlike any she'd seen" | | 2 | "Lavender became sapphire, then molten" | | 3 | "Nyx moved beside her, their" | | 4 | "Violet eyes scanned the grove," | | 5 | "they whispered, the sound like" | | 6 | "Aurora's fingers brushed the Heartstone" | | 7 | "The crimson stone warmed against" | | 8 | "Her delivery uniform from the" | | 9 | "Isolde emerged from between two" | | 10 | "Her pale lavender eyes held" | | 11 | "she said, each word a" | | 12 | "Wildflowers crushed beneath Aurora's boots" | | 13 | "The sky overhead was impossible" | | 14 | "Aurora murmured, the Fae-forged blade" | | 15 | "Nyx's whisper came again." |
| | ratio | 0.889 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 18 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 10 | | technicalSentenceCount | 3 | | matches | | 0 | "Violet eyes scanned the grove, tendrils of darkness weaving between the ancient oak stones that marked the boundary." | | 1 | "Her delivery uniform from the Golden Empress restaurant felt absurdly mundane against this landscape that seemed to breathe and pulse with its own consciousness…" | | 2 | "Isolde emerged from between two massive oak trees, her silver hair floating as if underwater despite there being no breeze." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 1 | | matches | | 0 | "she said, each word a riddle wrapped in silk" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "they whispered (whisper)" | | 1 | "Aurora murmured (murmur)" |
| | dialogueSentences | 5 | | tagDensity | 0.6 | | leniency | 1 | | rawRatio | 0.667 | | effectiveRatio | 0.667 | |