| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 76.22% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 841 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "very" | | 1 | "gently" | | 2 | "sweetly" | | 3 | "suddenly" |
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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 | 841 | | totalAiIsms | 23 | | found | | 0 | | | 1 | | | 2 | | word | "down her spine" | | count | 1 |
| | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "scanned" | | 1 | "quickened" | | 2 | "down her spine" | | 3 | "warmth" | | 4 | "palpable" | | 5 | "scanning" | | 6 | "loomed" | | 7 | "oppressive" | | 8 | "etched" | | 9 | "pulsed" | | 10 | "racing" | | 11 | "sense of" | | 12 | "silence" | | 13 | "flicker" | | 14 | "otherworldly" | | 15 | "weight" | | 16 | "the last thing" |
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| 66.67% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 2 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "air was thick with" | | count | 1 |
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| | highlights | | 0 | "eyes narrowed" | | 1 | "The air was heavy with" |
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| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 54 | | matches | (empty) | |
| 0.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 7 | | narrationSentences | 54 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "tried to" | | 2 | "began to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 54 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 842 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 48.57% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 31 | | wordCount | 838 | | uniqueNames | 7 | | maxNameDensity | 2.03 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 17 | | Richmond | 2 | | Park | 2 | | Fae | 2 | | Grove | 2 | | Heartstone | 3 | | Pendant | 3 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" | | 4 | "Heartstone" | | 5 | "Pendant" |
| | globalScore | 0.486 | | windowScore | 0.833 | |
| 5.77% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 52 | | glossingSentenceCount | 3 | | matches | | 0 | "felt like she was being watched, like u" | | 1 | "seemed rooted to the spot" | | 2 | "seemed heavy unresponsive" |
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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 | 842 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 54 | | matches | (empty) | |
| 66.56% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 17 | | mean | 49.53 | | std | 18.97 | | cv | 0.383 | | sampleLengths | | 0 | 87 | | 1 | 87 | | 2 | 70 | | 3 | 58 | | 4 | 55 | | 5 | 58 | | 6 | 57 | | 7 | 46 | | 8 | 16 | | 9 | 23 | | 10 | 43 | | 11 | 36 | | 12 | 43 | | 13 | 53 | | 14 | 42 | | 15 | 34 | | 16 | 34 |
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| 92.27% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 54 | | matches | | 0 | "was hidden" | | 1 | "was frozen" |
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| 0.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 6 | | totalVerbs | 149 | | matches | | 0 | "was rolling" | | 1 | "was watching" | | 2 | "was being" | | 3 | "were boring" | | 4 | "was racing" | | 5 | "was lurking" |
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| 89.95% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 54 | | ratio | 0.019 | | matches | | 0 | "This was it – the Fae Grove." |
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| 98.45% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 838 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 35 | | adverbRatio | 0.041766109785202864 | | lyAdverbCount | 15 | | lyAdverbRatio | 0.017899761336515514 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 54 | | echoCount | 0 | | echoWords | (empty) | |
| 99.71% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 54 | | mean | 15.59 | | std | 6.23 | | cv | 0.399 | | sampleLengths | | 0 | 26 | | 1 | 37 | | 2 | 24 | | 3 | 26 | | 4 | 19 | | 5 | 25 | | 6 | 17 | | 7 | 18 | | 8 | 15 | | 9 | 14 | | 10 | 23 | | 11 | 21 | | 12 | 17 | | 13 | 15 | | 14 | 5 | | 15 | 23 | | 16 | 12 | | 17 | 9 | | 18 | 7 | | 19 | 4 | | 20 | 27 | | 21 | 17 | | 22 | 14 | | 23 | 14 | | 24 | 8 | | 25 | 14 | | 26 | 21 | | 27 | 13 | | 28 | 11 | | 29 | 13 | | 30 | 9 | | 31 | 16 | | 32 | 13 | | 33 | 10 | | 34 | 14 | | 35 | 11 | | 36 | 18 | | 37 | 8 | | 38 | 13 | | 39 | 15 | | 40 | 14 | | 41 | 12 | | 42 | 17 | | 43 | 12 | | 44 | 12 | | 45 | 7 | | 46 | 22 | | 47 | 12 | | 48 | 20 | | 49 | 10 |
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| 38.89% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 6 | | diversityRatio | 0.2962962962962963 | | totalSentences | 54 | | uniqueOpeners | 16 | |
| 61.73% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 54 | | matches | | 0 | "Suddenly, the wind died, and" |
| | ratio | 0.019 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 15 | | totalSentences | 54 | | matches | | 0 | "She quickened her pace, a" | | 1 | "Her hand instinctively rose to" | | 2 | "It had been behaving strangely" | | 3 | "She'd always loved the atmosphere" | | 4 | "She'd finally found it." | | 5 | "It was a sound that" | | 6 | "She circled the stone, her" | | 7 | "She'd been so focused on" | | 8 | "She spun around, but there" | | 9 | "she demanded, trying to keep" | | 10 | "She took a step back," | | 11 | "She felt like she was" | | 12 | "She knew she had to" | | 13 | "She turned to run, but" | | 14 | "She tried to scream, but" |
| | ratio | 0.278 | |
| 34.07% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 46 | | totalSentences | 54 | | matches | | 0 | "The crunch of gravel beneath" | | 1 | "The darkness seemed to swallow" | | 2 | "Rory's eyes scanned the surroundings," | | 3 | "She quickened her pace, a" | | 4 | "Her hand instinctively rose to" | | 5 | "It had been behaving strangely" | | 6 | "Rory's skin prickled, her bright" | | 7 | "The trees loomed above her," | | 8 | "She'd always loved the atmosphere" | | 9 | "The sound of running water" | | 10 | "The trees parted, revealing a" | | 11 | "The air was heavy with" | | 12 | "Rory's nose wrinkled in distaste." | | 13 | "The Heartstone Pendant pulsed more" | | 14 | "Rory's eyes narrowed, her mind" | | 15 | "This was it – the" | | 16 | "She'd finally found it." | | 17 | "It was a sound that" | | 18 | "She circled the stone, her" | | 19 | "The hum grew louder, more" |
| | ratio | 0.852 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 54 | | matches | (empty) | | ratio | 0 | |
| 29.22% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 44 | | technicalSentenceCount | 7 | | matches | | 0 | "The crunch of gravel beneath Rory's boots was the only sound that broke the stillness of the night as she made her way through Richmond Park." | | 1 | "Rory's eyes scanned the surroundings, the ancient oak standing stones that marked the boundary of the grove supposedly hidden just beyond the next copse of tree…" | | 2 | "She'd always loved the atmosphere of Richmond Park at night, but now it felt oppressive, as if the very forest was watching her." | | 3 | "The trees parted, revealing a secluded glade, the wildflowers that bloomed year-round swaying gently in the breeze." | | 4 | "In the center of the clearing stood a massive stone, its surface etched with ancient symbols that glowed with a faint, ethereal light." | | 5 | "Rory's heart was racing now, her breath coming in short, sharp gasps." | | 6 | "The pale thing moved again, closer this time, and Rory caught a glimpse of eyes, eyes that glowed with an otherworldly light." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 2 | | matches | | 0 | "raspy voice whispered, the sound seeming to come from all around her" | | 1 | "she demanded, trying to keep her voice steady" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 2 | | fancyCount | 2 | | fancyTags | | 0 | "raspy voice whispered (whisper)" | | 1 | "she demanded (demand)" |
| | dialogueSentences | 2 | | tagDensity | 1 | | leniency | 1 | | rawRatio | 1 | | effectiveRatio | 1 | |