| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 1 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 8 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1127 | | 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 | 1127 | | totalAiIsms | 35 | | found | | | highlights | | 0 | "pulsed" | | 1 | "stark" | | 2 | "silence" | | 3 | "scanning" | | 4 | "could feel" | | 5 | "loomed" | | 6 | "tracing" | | 7 | "whisper" | | 8 | "pounding" | | 9 | "racing" | | 10 | "echoing" | | 11 | "oppressive" | | 12 | "trembled" | | 13 | "warmth" |
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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 | 2 | | narrationSentences | 126 | | matches | | 0 | "e with terror" | | 1 | "e with terror" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 2 | | narrationSentences | 126 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 133 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1116 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 1 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 9 | | wordCount | 1086 | | uniqueNames | 4 | | maxNameDensity | 0.28 | | worstName | "Heartstone" | | maxWindowNameDensity | 1 | | worstWindowName | "Aurora" | | discoveredNames | | Aurora | 2 | | Carter | 1 | | Heartstone | 3 | | Pendant | 3 |
| | persons | | | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 93 | | 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 | 1116 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 133 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 23.25 | | std | 15.1 | | cv | 0.649 | | sampleLengths | | 0 | 80 | | 1 | 69 | | 2 | 51 | | 3 | 23 | | 4 | 47 | | 5 | 29 | | 6 | 26 | | 7 | 30 | | 8 | 13 | | 9 | 8 | | 10 | 23 | | 11 | 26 | | 12 | 19 | | 13 | 21 | | 14 | 4 | | 15 | 18 | | 16 | 12 | | 17 | 39 | | 18 | 14 | | 19 | 11 | | 20 | 28 | | 21 | 30 | | 22 | 4 | | 23 | 29 | | 24 | 21 | | 25 | 18 | | 26 | 16 | | 27 | 4 | | 28 | 31 | | 29 | 23 | | 30 | 25 | | 31 | 29 | | 32 | 17 | | 33 | 28 | | 34 | 26 | | 35 | 12 | | 36 | 5 | | 37 | 17 | | 38 | 12 | | 39 | 25 | | 40 | 32 | | 41 | 8 | | 42 | 5 | | 43 | 33 | | 44 | 28 | | 45 | 16 | | 46 | 25 | | 47 | 6 |
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| 99.69% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 126 | | matches | | |
| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 9 | | totalVerbs | 204 | | matches | | 0 | "was screaming" | | 1 | "was being" | | 2 | "was watching" | | 3 | "was losing" | | 4 | "was getting" | | 5 | "were glowing" | | 6 | "was happening" | | 7 | "was happening" | | 8 | "was whispering" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 10 | | totalSentences | 133 | | ratio | 0.075 | | matches | | 0 | "She could feel it—the wrongness." | | 1 | "A sound caught her attention—a soft whisper, like leaves rustling." | | 2 | "But then she saw it—a movement at the edge of her vision." | | 3 | "She didn't know what was happening, but she knew one thing—she needed to get out." | | 4 | "She saw it then—a path, barely visible through the darkness." | | 5 | "She could feel it—the presence, the wrongness." | | 6 | "She turned a corner, and there it was—the exit." | | 7 | "She didn't know what had happened, but she knew one thing—she would never go back there." | | 8 | "She didn't know what was happening, but she knew one thing—she needed to find out." | | 9 | "She didn't know what was out there, but she knew one thing—she wouldn't be afraid." |
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| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1097 | | adjectiveStacks | 1 | | stackExamples | | 0 | "insidious, right behind her" |
| | adverbCount | 38 | | adverbRatio | 0.03463992707383774 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.004557885141294439 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 133 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 133 | | mean | 8.39 | | std | 4.74 | | cv | 0.565 | | sampleLengths | | 0 | 19 | | 1 | 29 | | 2 | 13 | | 3 | 19 | | 4 | 8 | | 5 | 16 | | 6 | 21 | | 7 | 7 | | 8 | 6 | | 9 | 11 | | 10 | 14 | | 11 | 5 | | 12 | 8 | | 13 | 15 | | 14 | 9 | | 15 | 3 | | 16 | 2 | | 17 | 18 | | 18 | 13 | | 19 | 13 | | 20 | 11 | | 21 | 10 | | 22 | 10 | | 23 | 8 | | 24 | 5 | | 25 | 6 | | 26 | 11 | | 27 | 4 | | 28 | 4 | | 29 | 7 | | 30 | 12 | | 31 | 10 | | 32 | 8 | | 33 | 10 | | 34 | 3 | | 35 | 2 | | 36 | 6 | | 37 | 7 | | 38 | 11 | | 39 | 5 | | 40 | 10 | | 41 | 4 | | 42 | 12 | | 43 | 9 | | 44 | 4 | | 45 | 6 | | 46 | 12 | | 47 | 9 | | 48 | 4 | | 49 | 6 |
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| 25.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 41 | | diversityRatio | 0.14285714285714285 | | totalSentences | 133 | | uniqueOpeners | 19 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 7 | | totalSentences | 119 | | matches | | 0 | "Just the soft rustle of" | | 1 | "Just the darkness, thick and" | | 2 | "Just her imagination playing tricks" | | 3 | "Just the silence, heavy and" | | 4 | "Just the rough bark and" | | 5 | "Just the darkness, thick and" | | 6 | "Just the darkness, thick and" |
| | ratio | 0.059 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 69 | | totalSentences | 119 | | matches | | 0 | "She had come here for" | | 1 | "She could feel it—the wrongness." | | 2 | "It was in the air," | | 3 | "She had always been good" | | 4 | "She had come here for" | | 5 | "She walked further into the" | | 6 | "She reached out a hand," | | 7 | "They were cold, too cold" | | 8 | "She turned, her heart pounding" | | 9 | "She took a deep breath," | | 10 | "She was being silly." | | 11 | "She spun around, her heart" | | 12 | "she called out, her voice" | | 13 | "She took a step forward," | | 14 | "It was watching her, waiting." | | 15 | "She reached the tree where" | | 16 | "She let out a shaky" | | 17 | "She was losing it." | | 18 | "She turned to leave, but" | | 19 | "She spun around, her heart" |
| | ratio | 0.58 | |
| 48.24% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 98 | | totalSentences | 119 | | matches | | 0 | "The night was unnaturally still" | | 1 | "The Heartstone Pendant around her" | | 2 | "She had come here for" | | 3 | "The note she had received" | | 4 | "The grove was beautiful, she" | | 5 | "Wildflowers bloomed year-round, their vibrant" | | 6 | "The silence was too heavy," | | 7 | "Aurora pulled her coat tighter" | | 8 | "She could feel it—the wrongness." | | 9 | "It was in the air," | | 10 | "She had always been good" | | 11 | "She had come here for" | | 12 | "She walked further into the" | | 13 | "The standing stones loomed above" | | 14 | "She reached out a hand," | | 15 | "They were cold, too cold" | | 16 | "A sound caught her attention—a" | | 17 | "She turned, her heart pounding" | | 18 | "She took a deep breath," | | 19 | "She was being silly." |
| | ratio | 0.824 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 119 | | matches | (empty) | | ratio | 0 | |
| 96.27% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 46 | | technicalSentenceCount | 3 | | matches | | 0 | "The Heartstone Pendant around her neck pulsed faintly, its deep crimson glow casting eerie shadows on the ancient oak standing stones that marked the boundary o…" | | 1 | "Wildflowers bloomed year-round, their vibrant colors a stark contrast to the dark trees that surrounded them." | | 2 | "The path twisted and turned, the trees leaning in, their branches reaching out to grab her." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 1 | | uselessAdditionCount | 1 | | matches | | 0 | "she called out, her voice echoing through the grove" |
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| 25.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 1 | | fancyCount | 1 | | fancyTags | | 0 | "she called out (call out)" |
| | dialogueSentences | 8 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 1 | | effectiveRatio | 0.25 | |