| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 1 | | adverbTags | | 0 | "she asked again [again]" |
| | dialogueSentences | 13 | | tagDensity | 0.923 | | leniency | 1 | | rawRatio | 0.083 | | effectiveRatio | 0.083 | |
| 84.85% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 990 | | totalAiIsmAdverbs | 3 | | found | | 0 | | | 1 | | | 2 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "softly" | | 1 | "sharply" | | 2 | "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 | 990 | | totalAiIsms | 36 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | word | "down her spine" | | count | 2 |
| | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | word | "the last thing" | | count | 1 |
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| | highlights | | 0 | "sentinels" | | 1 | "solace" | | 2 | "dancing" | | 3 | "comforting" | | 4 | "down her spine" | | 5 | "tracing" | | 6 | "warmth" | | 7 | "beacon" | | 8 | "silence" | | 9 | "oppressive" | | 10 | "echoing" | | 11 | "pounding" | | 12 | "whisper" | | 13 | "scanning" | | 14 | "desire" | | 15 | "loomed" | | 16 | "stomach" | | 17 | "chill" | | 18 | "racing" | | 19 | "echoed" | | 20 | "the last thing" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "sent a shiver through" | | count | 1 |
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| | highlights | | |
| 88.24% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 3 | | narrationSentences | 68 | | matches | | 0 | "y with warmth" | | 1 | "filled with sorrow" | | 2 | "d with sorrow" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 68 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 70 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 991 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 12 | | unquotedAttributions | 1 | | matches | | 0 | "She had felt its pull towards this place, this pocket between Earth and the Fae realm, but now that she was here, she qu…" |
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| 16.67% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 27 | | wordCount | 904 | | uniqueNames | 11 | | maxNameDensity | 1.22 | | worstName | "Aurora" | | maxWindowNameDensity | 4.5 | | worstWindowName | "Aurora" | | discoveredNames | | Richmond | 1 | | Park | 1 | | Aurora | 11 | | Carter | 1 | | Fae | 2 | | Grove | 2 | | Heartstone | 2 | | Pendant | 2 | | Earth | 1 | | Silence | 1 | | Isolde | 3 |
| | persons | | 0 | "Aurora" | | 1 | "Carter" | | 2 | "Isolde" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Fae" | | 3 | "Grove" | | 4 | "Heartstone" | | 5 | "Pendant" | | 6 | "Silence" |
| | globalScore | 0.892 | | windowScore | 0.167 | |
| 71.88% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 64 | | glossingSentenceCount | 2 | | matches | | 0 | "shadows that seemed to writhe and twist at the corners of her eyes" | | 1 | "not quite" |
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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 | 991 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 70 | | matches | (empty) | |
| 59.33% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 17 | | mean | 58.29 | | std | 20.85 | | cv | 0.358 | | sampleLengths | | 0 | 92 | | 1 | 69 | | 2 | 70 | | 3 | 82 | | 4 | 75 | | 5 | 67 | | 6 | 68 | | 7 | 86 | | 8 | 22 | | 9 | 50 | | 10 | 27 | | 11 | 37 | | 12 | 52 | | 13 | 50 | | 14 | 65 | | 15 | 56 | | 16 | 23 |
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| 84.62% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 68 | | matches | | 0 | "was bathed" | | 1 | "was gone" | | 2 | "was dressed" | | 3 | "was swallowed" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 148 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 70 | | ratio | 0.014 | | matches | | 0 | "She was almost there, almost safe, when she heard it again - the laughter, closer this time, clearer." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 694 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 24 | | adverbRatio | 0.0345821325648415 | | lyAdverbCount | 10 | | lyAdverbRatio | 0.01440922190201729 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 70 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 70 | | mean | 14.16 | | std | 6.05 | | cv | 0.428 | | sampleLengths | | 0 | 27 | | 1 | 17 | | 2 | 18 | | 3 | 30 | | 4 | 23 | | 5 | 24 | | 6 | 22 | | 7 | 22 | | 8 | 22 | | 9 | 26 | | 10 | 17 | | 11 | 17 | | 12 | 18 | | 13 | 11 | | 14 | 9 | | 15 | 10 | | 16 | 14 | | 17 | 17 | | 18 | 8 | | 19 | 10 | | 20 | 1 | | 21 | 13 | | 22 | 12 | | 23 | 16 | | 24 | 11 | | 25 | 14 | | 26 | 18 | | 27 | 8 | | 28 | 14 | | 29 | 9 | | 30 | 21 | | 31 | 12 | | 32 | 12 | | 33 | 14 | | 34 | 20 | | 35 | 16 | | 36 | 10 | | 37 | 8 | | 38 | 18 | | 39 | 11 | | 40 | 11 | | 41 | 11 | | 42 | 11 | | 43 | 28 | | 44 | 11 | | 45 | 16 | | 46 | 10 | | 47 | 9 | | 48 | 18 | | 49 | 8 |
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| 34.29% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 11 | | diversityRatio | 0.2714285714285714 | | totalSentences | 70 | | uniqueOpeners | 19 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 4 | | totalSentences | 67 | | matches | | 0 | "Then, a soft chuckle, like" | | 1 | "Then, a voice, soft and" | | 2 | "Then, a figure stepped out" | | 3 | "Then, everything went black." |
| | ratio | 0.06 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 39 | | totalSentences | 67 | | matches | | 0 | "She had come here seeking" | | 1 | "She stepped inside, her boots" | | 2 | "It was a gift from" | | 3 | "She had felt its pull" | | 4 | "She turned her head sharply" | | 5 | "It was gone as soon" | | 6 | "She took a deep breath," | | 7 | "She was being foolish, letting" | | 8 | "She caught movement at the" | | 9 | "She stopped, her breath hitching" | | 10 | "she called out, her voice" | | 11 | "She spun around, her eyes" | | 12 | "She decided to leave, her" | | 13 | "She turned back the way" | | 14 | "She was almost there, almost" | | 15 | "She froze, her heart pounding" | | 16 | "she demanded, her voice steady" | | 17 | "She spun around, her eyes" | | 18 | "she cried out, her voice" | | 19 | "She was dressed in a" |
| | ratio | 0.582 | |
| 27.16% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 58 | | totalSentences | 67 | | matches | | 0 | "The ancient oak standing stones," | | 1 | "She had come here seeking" | | 2 | "The Grove was bathed in" | | 3 | "She stepped inside, her boots" | | 4 | "An owl hooted softly in" | | 5 | "Aurora walked deeper into the" | | 6 | "It was a gift from" | | 7 | "She had felt its pull" | | 8 | "The silence was oppressive, broken" | | 9 | "She turned her head sharply" | | 10 | "It was gone as soon" | | 11 | "She took a deep breath," | | 12 | "She was being foolish, letting" | | 13 | "She caught movement at the" | | 14 | "She stopped, her breath hitching" | | 15 | "she called out, her voice" | | 16 | "She spun around, her eyes" | | 17 | "She decided to leave, her" | | 18 | "She turned back the way" | | 19 | "The standing stones loomed ahead," |
| | ratio | 0.866 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 67 | | matches | | 0 | "Yet, as the last light" | | 1 | "Yet, as she continued her" |
| | ratio | 0.03 | |
| 38.33% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 41 | | technicalSentenceCount | 6 | | matches | | 0 | "Yet, as the last light of day surrendered to the night, she felt an unease prickling her skin, a wrongness that made the hairs on her nape stand on end." | | 1 | "The Grove was bathed in silver moonlight, casting long, dancing shadows that seemed to writhe and twist at the corners of her eyes." | | 2 | "She stepped inside, her boots sinking into the soft earth, the wildflowers beneath her feet releasing their sweet perfume into the cool night air." | | 3 | "She saw them then, figures moving through the trees, their eyes glowing in the darkness." | | 4 | "She could see their faces now, their features sharp and angular, their eyes filled with a hunger that made her blood run cold." | | 5 | "The figures were upon her, their hands reaching out, their eyes glowing in the darkness." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 9 | | matches | | 0 | "she called out, her voice barely above a whisper" | | 1 | "she demanded, her voice steady despite the fear coiling in her stomach" | | 2 | "she cried out, her voice echoing in the silence" | | 3 | "she asked again, her voice barely a whisper" | | 4 | "she said, her voice echoing through the grove" | | 5 | "She pointed, her eyes narrowing" | | 6 | "she asked, her voice steady despite the fear coiling in her stomach" | | 7 | "she said, her voice cold" | | 8 | "she said, her voice echoing through the grove" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 4 | | fancyTags | | 0 | "she called out (call out)" | | 1 | "she demanded (demand)" | | 2 | "It whispered (whisper)" | | 3 | "she cried out (cry out)" |
| | dialogueSentences | 13 | | tagDensity | 0.769 | | leniency | 1 | | rawRatio | 0.4 | | effectiveRatio | 0.4 | |