| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.583 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 84.63% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 976 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "suddenly" | | 1 | "barely above a whisper" |
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| 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 | 976 | | totalAiIsms | 22 | | found | | | highlights | | 0 | "chill" | | 1 | "loomed" | | 2 | "sentinels" | | 3 | "whisper" | | 4 | "warmth" | | 5 | "etched" | | 6 | "pounding" | | 7 | "footsteps" | | 8 | "scanning" | | 9 | "dancing" | | 10 | "silence" | | 11 | "wavering" | | 12 | "flicked" | | 13 | "unreadable" | | 14 | "weight" | | 15 | "wavered" | | 16 | "reminder" |
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| 33.33% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 3 | | maxInWindow | 3 | | found | | 0 | | label | "heart pounded in chest" | | count | 1 |
| | 1 | | label | "blood ran cold" | | count | 1 |
| | 2 | | label | "silence was deafening" | | count | 1 |
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| | highlights | | 0 | "heart pounded in her chest" | | 1 | "blood ran cold" | | 2 | "The silence was deafening" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 83 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 83 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 89 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 34 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 976 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 33 | | wordCount | 811 | | uniqueNames | 9 | | maxNameDensity | 1.73 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 14 | | Fae | 3 | | Grove | 2 | | Heartstone | 1 | | Pendant | 1 | | Richmond | 1 | | Park | 1 | | London | 2 | | Isolde | 8 |
| | persons | | 0 | "Rory" | | 1 | "Pendant" | | 2 | "Isolde" |
| | places | | 0 | "Fae" | | 1 | "Grove" | | 2 | "Richmond" | | 3 | "Park" | | 4 | "London" |
| | globalScore | 0.637 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 61 | | glossingSentenceCount | 1 | | matches | | 0 | "whispering that seemed to follow her, growing louder with each step" |
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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 | 976 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 89 | | matches | | 0 | "recognized that language" |
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| 90.77% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 24 | | mean | 40.67 | | std | 19.02 | | cv | 0.468 | | sampleLengths | | 0 | 76 | | 1 | 64 | | 2 | 49 | | 3 | 74 | | 4 | 53 | | 5 | 63 | | 6 | 62 | | 7 | 56 | | 8 | 11 | | 9 | 30 | | 10 | 25 | | 11 | 30 | | 12 | 19 | | 13 | 30 | | 14 | 36 | | 15 | 11 | | 16 | 43 | | 17 | 28 | | 18 | 9 | | 19 | 37 | | 20 | 42 | | 21 | 39 | | 22 | 57 | | 23 | 32 |
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| 88.35% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 83 | | matches | | 0 | "was gone" | | 1 | "was dressed" | | 2 | "was paralyzed" | | 3 | "were gone" |
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| 25.71% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 4 | | totalVerbs | 153 | | matches | | 0 | "was letting" | | 1 | "were coming" | | 2 | "was deafening" | | 3 | "were coming" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 89 | | ratio | 0.011 | | matches | | 0 | "The grove was alive with sounds - rustling leaves, distant hoots of owls, the soft patter of something scurrying through the underbrush." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 779 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.03465982028241335 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.008985879332477536 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 89 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 89 | | mean | 10.97 | | std | 6.56 | | cv | 0.598 | | sampleLengths | | 0 | 19 | | 1 | 16 | | 2 | 20 | | 3 | 21 | | 4 | 20 | | 5 | 15 | | 6 | 13 | | 7 | 16 | | 8 | 5 | | 9 | 8 | | 10 | 6 | | 11 | 16 | | 12 | 7 | | 13 | 4 | | 14 | 3 | | 15 | 12 | | 16 | 7 | | 17 | 14 | | 18 | 22 | | 19 | 19 | | 20 | 3 | | 21 | 3 | | 22 | 13 | | 23 | 6 | | 24 | 7 | | 25 | 7 | | 26 | 11 | | 27 | 1 | | 28 | 2 | | 29 | 10 | | 30 | 18 | | 31 | 8 | | 32 | 4 | | 33 | 10 | | 34 | 13 | | 35 | 9 | | 36 | 6 | | 37 | 15 | | 38 | 9 | | 39 | 11 | | 40 | 5 | | 41 | 7 | | 42 | 4 | | 43 | 4 | | 44 | 7 | | 45 | 10 | | 46 | 12 | | 47 | 19 | | 48 | 11 | | 49 | 8 |
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| 44.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.2696629213483146 | | totalSentences | 89 | | uniqueOpeners | 24 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 81 | | matches | | 0 | "Just more wildflowers and ancient" | | 1 | "Then, from the corner of" | | 2 | "Just more shadows dancing in" | | 3 | "Suddenly, the whispers stopped." | | 4 | "Then, from the darkness, a" | | 5 | "Then, as suddenly as it" | | 6 | "Then, with a cry, she" |
| | ratio | 0.086 | |
| 71.85% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 30 | | totalSentences | 81 | | matches | | 0 | "She clutched the Heartstone Pendant," | | 1 | "She had come here seeking" | | 2 | "She spun around, heart pounding," | | 3 | "She took a deep breath," | | 4 | "She was here now." | | 5 | "She followed its lead, her" | | 6 | "She paused, listening." | | 7 | "She turned, but it was" | | 8 | "She was letting her imagination" | | 9 | "She took another step, and" | | 10 | "They were coming from all" | | 11 | "She recognized that language." | | 12 | "It was the same one" | | 13 | "She backed away, her heart" | | 14 | "She turned to run, but" | | 15 | "She couldn't move, couldn't breathe." | | 16 | "It was a woman, her" | | 17 | "She was dressed in flowing" | | 18 | "Her eyes were the same" | | 19 | "she said, her voice like" |
| | ratio | 0.37 | |
| 58.77% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 81 | | matches | | 0 | "The ancient oak standing stones," | | 1 | "She clutched the Heartstone Pendant," | | 2 | "The wildflowers that bloomed year-round" | | 3 | "She had come here seeking" | | 4 | "The map led her to" | | 5 | "An hour inside could be" | | 6 | "A twig snapped behind her." | | 7 | "She spun around, heart pounding," | | 8 | "She took a deep breath," | | 9 | "She was here now." | | 10 | "Rory walked deeper into the" | | 11 | "The pendant grew warmer, its" | | 12 | "She followed its lead, her" | | 13 | "The grove was alive with" | | 14 | "She paused, listening." | | 15 | "The whispering stopped." | | 16 | "She turned, but it was" | | 17 | "She was letting her imagination" | | 18 | "She took another step, and" | | 19 | "Rory's breath hitched as she" |
| | ratio | 0.802 | |
| 61.73% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 81 | | matches | | 0 | "Yet, the feeling of being" |
| | ratio | 0.012 | |
| 83.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 36 | | technicalSentenceCount | 3 | | matches | | 0 | "The wildflowers that bloomed year-round seemed to whisper secrets in the gentle breeze, their petals brushing against each other like conspirators." | | 1 | "But there was another sound too, a faint whispering that seemed to follow her, growing louder with each step." | | 2 | "Her eyes were the same bright blue as Rory's, but they held a wisdom that belied her youthful appearance." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 4 | | matches | | 0 | "Rory asked, her voice barely above a whisper" | | 1 | "she said, her voice cold" | | 2 | "she asked, her voice barely a whisper" | | 3 | "she asked, her voice barely audible" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 12 | | tagDensity | 0.417 | | leniency | 0.833 | | rawRatio | 0 | | effectiveRatio | 0 | |