| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 4 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 612 | | 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 | 612 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "pulsed" | | 1 | "warmth" | | 2 | "chill" | | 3 | "silence" | | 4 | "flickered" | | 5 | "tinge" | | 6 | "perfect" | | 7 | "whisper" | | 8 | "echo" | | 9 | "resolving" | | 10 | "footsteps" |
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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 | 73 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 73 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 73 | | 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 | 0 | | markdownWords | 0 | | totalWords | 618 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 83.55% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 15 | | wordCount | 602 | | uniqueNames | 7 | | maxNameDensity | 1.33 | | worstName | "Aurora" | | maxWindowNameDensity | 2 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 8 | | Richmond | 1 | | Park | 1 | | Heartstone | 1 | | Eva | 1 | | Three | 2 | | October | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "October" |
| | globalScore | 0.836 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 54 | | glossingSentenceCount | 1 | | matches | | 0 | "not quite – resolving into words she could understand" |
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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 | 618 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 73 | | matches | (empty) | |
| 54.64% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 20 | | mean | 30.9 | | std | 10.54 | | cv | 0.341 | | sampleLengths | | 0 | 56 | | 1 | 35 | | 2 | 29 | | 3 | 39 | | 4 | 16 | | 5 | 33 | | 6 | 38 | | 7 | 31 | | 8 | 28 | | 9 | 20 | | 10 | 37 | | 11 | 34 | | 12 | 8 | | 13 | 23 | | 14 | 31 | | 15 | 33 | | 16 | 35 | | 17 | 14 | | 18 | 35 | | 19 | 43 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 73 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 105 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 73 | | ratio | 0.082 | | matches | | 0 | "The pendant's heat increased, drawing her forward until – there." | | 1 | "The air changed – became thick, syrupy." | | 2 | "A whisper brushed past her ear – wordless, but deliberate." | | 3 | "Every direction looked identical – trees and flowers and shifting shadows that shouldn't exist." | | 4 | "The whispers grew louder, almost – but not quite – resolving into words she could understand." | | 5 | "The whispers became laughter – high and cruel and hungry." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 596 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 16 | | adverbRatio | 0.026845637583892617 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.003355704697986577 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 73 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 73 | | mean | 8.47 | | std | 4.87 | | cv | 0.575 | | sampleLengths | | 0 | 18 | | 1 | 22 | | 2 | 16 | | 3 | 11 | | 4 | 20 | | 5 | 4 | | 6 | 5 | | 7 | 8 | | 8 | 8 | | 9 | 8 | | 10 | 10 | | 11 | 10 | | 12 | 8 | | 13 | 11 | | 14 | 16 | | 15 | 7 | | 16 | 7 | | 17 | 6 | | 18 | 13 | | 19 | 20 | | 20 | 11 | | 21 | 1 | | 22 | 2 | | 23 | 2 | | 24 | 2 | | 25 | 11 | | 26 | 8 | | 27 | 12 | | 28 | 10 | | 29 | 3 | | 30 | 15 | | 31 | 9 | | 32 | 2 | | 33 | 9 | | 34 | 7 | | 35 | 18 | | 36 | 5 | | 37 | 4 | | 38 | 3 | | 39 | 6 | | 40 | 14 | | 41 | 8 | | 42 | 6 | | 43 | 8 | | 44 | 6 | | 45 | 6 | | 46 | 8 | | 47 | 3 | | 48 | 11 | | 49 | 6 |
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| 60.27% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.410958904109589 | | totalSentences | 73 | | uniqueOpeners | 30 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 16 | | totalSentences | 65 | | matches | | 0 | "Her phone's dim glow cast" | | 1 | "She checked the crude map" | | 2 | "Her breath clouded in front" | | 3 | "Her voice sounded thin in" | | 4 | "She stepped between two of" | | 5 | "Her phone screen flickered and" | | 6 | "She tugged it free from" | | 7 | "She spun around." | | 8 | "Her heart hammered against her" | | 9 | "She took a step backward," | | 10 | "Her heel caught on something" | | 11 | "She turned to run but" | | 12 | "Its light revealed flowers turning," | | 13 | "She knew, with absolute certainty," | | 14 | "She crashed through flowers that" | | 15 | "They didn't need to rush." |
| | ratio | 0.246 | |
| 44.62% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 65 | | matches | | 0 | "The night air bit at" | | 1 | "Her phone's dim glow cast" | | 2 | "The Heartstone pendant pulsed against" | | 3 | "She checked the crude map" | | 4 | "The pendant grew warmer." | | 5 | "A twig snapped behind her." | | 6 | "Aurora whirled around, phone beam" | | 7 | "Nothing moved except leaves stirred" | | 8 | "Her breath clouded in front" | | 9 | "The pendant's heat increased, drawing" | | 10 | "Aurora pressed her palm against" | | 11 | "The surface thrummed with energy" | | 12 | "Her voice sounded thin in" | | 13 | "She stepped between two of" | | 14 | "The air changed – became" | | 15 | "Her phone screen flickered and" | | 16 | "The pendant's glow provided the" | | 17 | "The grove opened before her," | | 18 | "Stars winked overhead through breaks" | | 19 | "Aurora's boots crushed flowers as" |
| | ratio | 0.831 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 65 | | matches | (empty) | | ratio | 0 | |
| 45.45% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 3 | | matches | | 0 | "The surface thrummed with energy that set her teeth on edge." | | 1 | "Every direction looked identical – trees and flowers and shifting shadows that shouldn't exist." | | 2 | "She crashed through flowers that grabbed at her clothes, her arms, her legs." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |