| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 5 | | adverbTagCount | 1 | | adverbTags | | 0 | "Silas’s voice echoed again [again]" |
| | dialogueSentences | 20 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.2 | | effectiveRatio | 0.1 | |
| 95.06% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1013 | | 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) | |
| 50.64% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1013 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "flickered" | | 1 | "loomed" | | 2 | "etched" | | 3 | "pulsed" | | 4 | "vibrated" | | 5 | "echoed" | | 6 | "velvet" | | 7 | "glinting" | | 8 | "shattered" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "knuckles turned white" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 116 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 2 | | narrationSentences | 116 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 131 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 3 | | markdownWords | 3 | | totalWords | 1012 | | ratio | 0.003 | | matches | | 0 | "Crack." | | 1 | "glimmered" | | 2 | "crunch" |
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| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 11 | | wordCount | 929 | | uniqueNames | 5 | | maxNameDensity | 0.43 | | worstName | "Heartstone" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Heartstone" | | discoveredNames | | Lawyers | 1 | | Heartstone | 4 | | Fae | 1 | | Silas | 4 | | Grove | 1 |
| | persons | | 0 | "Lawyers" | | 1 | "Heartstone" | | 2 | "Silas" | | 3 | "Grove" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 42.86% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 70 | | glossingSentenceCount | 3 | | matches | | 0 | "sounded like it was trapped inside my own" | | 1 | "looked like bark and skin" | | 2 | "felt like sleeping worms" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 3 | | per1kWords | 2.964 | | wordCount | 1012 | | matches | | 0 | "Not with night, but with a suffocating shadow" | | 1 | "Not audible to the ears, but felt in the teeth" | | 2 | "Not clouds, but flesh" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 131 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 16.87 | | std | 13.57 | | cv | 0.804 | | sampleLengths | | 0 | 12 | | 1 | 44 | | 2 | 3 | | 3 | 24 | | 4 | 33 | | 5 | 12 | | 6 | 7 | | 7 | 39 | | 8 | 4 | | 9 | 4 | | 10 | 8 | | 11 | 49 | | 12 | 18 | | 13 | 17 | | 14 | 3 | | 15 | 22 | | 16 | 4 | | 17 | 7 | | 18 | 14 | | 19 | 4 | | 20 | 5 | | 21 | 1 | | 22 | 31 | | 23 | 27 | | 24 | 10 | | 25 | 39 | | 26 | 7 | | 27 | 7 | | 28 | 4 | | 29 | 32 | | 30 | 3 | | 31 | 17 | | 32 | 26 | | 33 | 7 | | 34 | 35 | | 35 | 19 | | 36 | 5 | | 37 | 41 | | 38 | 3 | | 39 | 15 | | 40 | 25 | | 41 | 6 | | 42 | 26 | | 43 | 47 | | 44 | 14 | | 45 | 6 | | 46 | 9 | | 47 | 1 | | 48 | 15 | | 49 | 5 |
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| 99.21% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 116 | | matches | | 0 | "were etched" | | 1 | "was gone" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 172 | | matches | | 0 | "were shrinking" | | 1 | "was seeping" | | 2 | "were spinning" | | 3 | "was burning" | | 4 | "was bleeding" | | 5 | "were spinning" |
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| 99.24% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 1 | | flaggedSentences | 2 | | totalSentences | 131 | | ratio | 0.015 | | matches | | 0 | "It wasn't a feverish heat; it was the temperature of a forge, or a sleeping dragon's belly." | | 1 | "The air grew heavy, tasting of ozone and something sickly sweet—rotting oranges left out in the sun." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 930 | | adjectiveStacks | 1 | | stackExamples | | 0 | "faint, sickly green luminescence" |
| | adverbCount | 22 | | adverbRatio | 0.023655913978494623 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.0064516129032258064 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 131 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 131 | | mean | 7.73 | | std | 5.1 | | cv | 0.66 | | sampleLengths | | 0 | 12 | | 1 | 8 | | 2 | 19 | | 3 | 17 | | 4 | 3 | | 5 | 7 | | 6 | 17 | | 7 | 3 | | 8 | 7 | | 9 | 13 | | 10 | 10 | | 11 | 12 | | 12 | 7 | | 13 | 4 | | 14 | 8 | | 15 | 17 | | 16 | 7 | | 17 | 2 | | 18 | 1 | | 19 | 4 | | 20 | 4 | | 21 | 8 | | 22 | 7 | | 23 | 8 | | 24 | 14 | | 25 | 20 | | 26 | 2 | | 27 | 16 | | 28 | 8 | | 29 | 3 | | 30 | 6 | | 31 | 3 | | 32 | 8 | | 33 | 5 | | 34 | 7 | | 35 | 2 | | 36 | 3 | | 37 | 1 | | 38 | 4 | | 39 | 3 | | 40 | 3 | | 41 | 7 | | 42 | 4 | | 43 | 4 | | 44 | 5 | | 45 | 1 | | 46 | 14 | | 47 | 17 | | 48 | 4 | | 49 | 10 |
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| 37.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 17 | | diversityRatio | 0.2824427480916031 | | totalSentences | 131 | | uniqueOpeners | 37 | |
| 31.75% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 105 | | matches | | 0 | "Instead, the roots were twisted" |
| | ratio | 0.01 | |
| 14.29% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 54 | | totalSentences | 105 | | matches | | 0 | "I pulled my collar up," | | 1 | "It wasn't a feverish heat;" | | 2 | "It sounded like it was" | | 3 | "I kept walking." | | 4 | "I stepped over one, the" | | 5 | "My phone screen flickered in" | | 6 | "I reached the edge of" | | 7 | "They loomed over me, grey" | | 8 | "I asked, my voice steady" | | 9 | "I was good at building" | | 10 | "It sounded too loud." | | 11 | "I whirled around." | | 12 | "I pressed my back against" | | 13 | "They weren't men." | | 14 | "They were tall, draped in" | | 15 | "They moved with a jerky," | | 16 | "Their faces were smooth, featureless," | | 17 | "They didn't approach." | | 18 | "They *glimmered* into existence." | | 19 | "I grabbed the pendant, yanking" |
| | ratio | 0.514 | |
| 21.90% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 92 | | totalSentences | 105 | | matches | | 0 | "The heartstone warmed against my" | | 1 | "I pulled my collar up," | | 2 | "The silver chain bit into" | | 3 | "It wasn't a feverish heat;" | | 4 | "The voice didn't come from" | | 5 | "It sounded like it was" | | 6 | "I kept walking." | | 7 | "The path ahead should have" | | 8 | "I stepped over one, the" | | 9 | "The wood ahead darkened." | | 10 | "The air grew heavy, tasting" | | 11 | "My phone screen flickered in" | | 12 | "I reached the edge of" | | 13 | "The ancient oak standing stones" | | 14 | "They loomed over me, grey" | | 15 | "The heat from the necklace" | | 16 | "I asked, my voice steady" | | 17 | "Lawyers built walls." | | 18 | "I was good at building" | | 19 | "The grass beneath my boots" |
| | ratio | 0.876 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 105 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 38 | | technicalSentenceCount | 1 | | matches | | 0 | "The stone let out a scream that shattered glass, glowing blindingly bright." |
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| 25.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 5 | | uselessAdditionCount | 1 | | matches | | 0 | "I asked, my voice steady" |
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| 50.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 2 | | fancyTags | | 0 | "I whispered (whisper)" | | 1 | "I snarled (snarl)" |
| | dialogueSentences | 20 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0.5 | | effectiveRatio | 0.2 | |