| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 4 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 14 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1748 | | 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) | |
| 54.23% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1748 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "warmth" | | 1 | "pulsed" | | 2 | "flickered" | | 3 | "echo" | | 4 | "pulse" | | 5 | "silence" | | 6 | "trembled" | | 7 | "glistening" | | 8 | "whisper" | | 9 | "vibrated" |
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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 | 246 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 246 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 256 | | 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 | 0 | | markdownWords | 0 | | totalWords | 1747 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 46 | | wordCount | 1719 | | uniqueNames | 9 | | maxNameDensity | 1.86 | | worstName | "Aurora" | | maxWindowNameDensity | 4 | | worstWindowName | "Aurora" | | discoveredNames | | Carter | 1 | | Richmond | 1 | | Park | 1 | | Heartstone | 5 | | Golden | 1 | | Empress | 1 | | London | 2 | | Eva | 2 | | Aurora | 32 |
| | persons | | 0 | "Carter" | | 1 | "Heartstone" | | 2 | "Eva" | | 3 | "Aurora" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Golden" | | 3 | "London" |
| | globalScore | 0.569 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 135 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1747 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 256 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 157 | | mean | 11.13 | | std | 12.16 | | cv | 1.093 | | sampleLengths | | 0 | 19 | | 1 | 10 | | 2 | 23 | | 3 | 3 | | 4 | 55 | | 5 | 27 | | 6 | 3 | | 7 | 6 | | 8 | 42 | | 9 | 12 | | 10 | 9 | | 11 | 11 | | 12 | 61 | | 13 | 23 | | 14 | 5 | | 15 | 3 | | 16 | 26 | | 17 | 4 | | 18 | 45 | | 19 | 3 | | 20 | 26 | | 21 | 4 | | 22 | 3 | | 23 | 5 | | 24 | 19 | | 25 | 1 | | 26 | 6 | | 27 | 7 | | 28 | 46 | | 29 | 5 | | 30 | 5 | | 31 | 43 | | 32 | 7 | | 33 | 38 | | 34 | 6 | | 35 | 3 | | 36 | 2 | | 37 | 5 | | 38 | 34 | | 39 | 3 | | 40 | 1 | | 41 | 4 | | 42 | 23 | | 43 | 7 | | 44 | 3 | | 45 | 31 | | 46 | 5 | | 47 | 5 | | 48 | 5 | | 49 | 21 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 246 | | matches | | 0 | "been carved" | | 1 | "was zipped" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 285 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 256 | | ratio | 0.004 | | matches | | 0 | "The image captured the stones, the flowers, the black surface—and Aurora standing with her back to the camera." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1721 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 60 | | adverbRatio | 0.034863451481696686 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.002324230098779779 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 256 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 256 | | mean | 6.82 | | std | 4.28 | | cv | 0.627 | | sampleLengths | | 0 | 19 | | 1 | 10 | | 2 | 9 | | 3 | 4 | | 4 | 2 | | 5 | 8 | | 6 | 3 | | 7 | 10 | | 8 | 14 | | 9 | 11 | | 10 | 9 | | 11 | 11 | | 12 | 6 | | 13 | 21 | | 14 | 3 | | 15 | 6 | | 16 | 8 | | 17 | 19 | | 18 | 1 | | 19 | 1 | | 20 | 13 | | 21 | 5 | | 22 | 7 | | 23 | 9 | | 24 | 11 | | 25 | 11 | | 26 | 4 | | 27 | 23 | | 28 | 6 | | 29 | 5 | | 30 | 12 | | 31 | 11 | | 32 | 2 | | 33 | 2 | | 34 | 8 | | 35 | 5 | | 36 | 3 | | 37 | 6 | | 38 | 10 | | 39 | 5 | | 40 | 5 | | 41 | 4 | | 42 | 11 | | 43 | 6 | | 44 | 7 | | 45 | 6 | | 46 | 15 | | 47 | 3 | | 48 | 9 | | 49 | 9 |
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| 42.97% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 18 | | diversityRatio | 0.234375 | | totalSentences | 256 | | uniqueOpeners | 60 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 9 | | totalSentences | 221 | | matches | | 0 | "Then, while she rode her" | | 1 | "Then it had started pulsing" | | 2 | "Even the night beyond the" | | 3 | "Then three again." | | 4 | "Then Eva’s voice came through," | | 5 | "Then it shifted under her" | | 6 | "Then the tree behind her" | | 7 | "Then a third." | | 8 | "Only the Heartstone appeared there," |
| | ratio | 0.041 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 48 | | totalSentences | 221 | | matches | | 0 | "She stopped beneath the first" | | 1 | "Their surfaces held the dull" | | 2 | "Its silver chain had tangled" | | 3 | "She had almost ignored it." | | 4 | "She had ignored stranger things" | | 5 | "She stepped between the stones." | | 6 | "Her phone still showed 10:47." | | 7 | "She turned and looked back." | | 8 | "Their bark twisted into dark" | | 9 | "She stood inside a ring" | | 10 | "Her breath clouded." | | 11 | "She reached for her phone" | | 12 | "Her voice travelled farther than" | | 13 | "It slipped through the branches" | | 14 | "She waited, listening." | | 15 | "Her boots crushed no stems." | | 16 | "She followed it without deciding" | | 17 | "She lifted the torch." | | 18 | "They had the sharp, hooked" | | 19 | "She held the torch steady." |
| | ratio | 0.217 | |
| 48.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 182 | | totalSentences | 221 | | matches | | 0 | "Aurora Carter reached the standing" | | 1 | "She stopped beneath the first" | | 2 | "The screen cast a pale" | | 3 | "The time remained 10:47, frozen" | | 4 | "Richmond Park stretched behind her" | | 5 | "The path had vanished twenty" | | 6 | "Their surfaces held the dull" | | 7 | "Moss climbed their sides in" | | 8 | "The pendant rested against her" | | 9 | "Its silver chain had tangled" | | 10 | "Aurora touched it." | | 11 | "The warmth had brought her" | | 12 | "A third time, strong enough" | | 13 | "She had almost ignored it." | | 14 | "She had ignored stranger things" | | 15 | "Aurora lifted her torch and" | | 16 | "Nothing stood between them." | | 17 | "The clearing beyond looked smaller" | | 18 | "The air smelled of wet" | | 19 | "She stepped between the stones." |
| | ratio | 0.824 | |
| 22.62% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 221 | | matches | | 0 | "Now it beat beneath her" |
| | ratio | 0.005 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 57 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 4 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "she muttered (mutter)" | | 1 | "she whispered (whisper)" | | 2 | "she breathed (breathe)" |
| | dialogueSentences | 14 | | tagDensity | 0.286 | | leniency | 0.571 | | rawRatio | 0.75 | | effectiveRatio | 0.429 | |