| 94.74% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 7 | | adverbTagCount | 1 | | adverbTags | | 0 | "Her voice sounded too [too]" |
| | dialogueSentences | 19 | | tagDensity | 0.368 | | leniency | 0.737 | | rawRatio | 0.143 | | effectiveRatio | 0.105 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1039 | | 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) | |
| 8.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1039 | | totalAiIsms | 19 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "loomed" | | 1 | "sentinels" | | 2 | "warmth" | | 3 | "perfect" | | 4 | "silence" | | 5 | "resolving" | | 6 | "predator" | | 7 | "intensity" | | 8 | "racing" | | 9 | "encounter" | | 10 | "weight" | | 11 | "searing" | | 12 | "palpable" | | 13 | "familiar" | | 14 | "pulsed" | | 15 | "reminder" | | 16 | "chill" | | 17 | "determined" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 86 | | matches | (empty) | |
| 26.58% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 7 | | narrationSentences | 86 | | filterMatches | (empty) | | hedgeMatches | | 0 | "seemed to" | | 1 | "began to" | | 2 | "tried to" |
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| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 97 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1044 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 36 | | wordCount | 894 | | uniqueNames | 5 | | maxNameDensity | 2.24 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Rory | 20 | | Heartstone | 4 | | Grove | 8 | | Richmond | 2 | | Park | 2 |
| | persons | | 0 | "Rory" | | 1 | "Heartstone" | | 2 | "Grove" |
| | places | | | globalScore | 0.381 | | windowScore | 0.333 | |
| 9.15% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 71 | | glossingSentenceCount | 4 | | matches | | 0 | "It was as if the Grove existed in its own pocket of reality, cut off from the world beyond" | | 1 | "dress that seemed to shift colors in the moonlight - silver, then blue, then a deep, unsettling purple" | | 2 | "not quite touching the ground" | | 3 | "It was as if the Grove itself held her in place, the ancient oaks whispering secrets she couldn't quite hear" | | 4 | "quite hear" |
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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 | 1044 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 97 | | matches | | |
| 71.51% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 37 | | mean | 28.22 | | std | 11.29 | | cv | 0.4 | | sampleLengths | | 0 | 36 | | 1 | 57 | | 2 | 31 | | 3 | 12 | | 4 | 40 | | 5 | 39 | | 6 | 47 | | 7 | 20 | | 8 | 15 | | 9 | 22 | | 10 | 33 | | 11 | 12 | | 12 | 30 | | 13 | 14 | | 14 | 26 | | 15 | 37 | | 16 | 25 | | 17 | 29 | | 18 | 5 | | 19 | 28 | | 20 | 35 | | 21 | 32 | | 22 | 30 | | 23 | 37 | | 24 | 18 | | 25 | 41 | | 26 | 9 | | 27 | 31 | | 28 | 25 | | 29 | 23 | | 30 | 38 | | 31 | 14 | | 32 | 44 | | 33 | 30 | | 34 | 33 | | 35 | 30 | | 36 | 16 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 86 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 159 | | matches | (empty) | |
| 25.04% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 5 | | semicolonCount | 0 | | flaggedSentences | 4 | | totalSentences | 97 | | ratio | 0.041 | | matches | | 0 | "The usual nighttime sounds of Richmond Park - owls hooting, leaves rustling in the breeze - were absent." | | 1 | "She wore a long, flowing dress that seemed to shift colors in the moonlight - silver, then blue, then a deep, unsettling purple." | | 2 | "This wasn't just some strange encounter - this was dangerous." | | 3 | "It wasn't just an artifact - it was alive, ancient, and it recognized her." |
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| 87.38% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 147 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 8 | | adverbRatio | 0.05442176870748299 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 97 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 97 | | mean | 10.76 | | std | 4.96 | | cv | 0.461 | | sampleLengths | | 0 | 12 | | 1 | 12 | | 2 | 12 | | 3 | 17 | | 4 | 24 | | 5 | 16 | | 6 | 16 | | 7 | 9 | | 8 | 6 | | 9 | 9 | | 10 | 3 | | 11 | 3 | | 12 | 18 | | 13 | 19 | | 14 | 12 | | 15 | 11 | | 16 | 3 | | 17 | 5 | | 18 | 8 | | 19 | 10 | | 20 | 14 | | 21 | 23 | | 22 | 16 | | 23 | 4 | | 24 | 6 | | 25 | 9 | | 26 | 9 | | 27 | 13 | | 28 | 10 | | 29 | 6 | | 30 | 3 | | 31 | 8 | | 32 | 6 | | 33 | 12 | | 34 | 15 | | 35 | 15 | | 36 | 6 | | 37 | 8 | | 38 | 5 | | 39 | 21 | | 40 | 13 | | 41 | 6 | | 42 | 10 | | 43 | 1 | | 44 | 7 | | 45 | 5 | | 46 | 20 | | 47 | 17 | | 48 | 12 | | 49 | 5 |
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| 50.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.31958762886597936 | | totalSentences | 97 | | uniqueOpeners | 31 | |
| 41.15% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 81 | | matches | | 0 | "Only silence answered." |
| | ratio | 0.012 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 81 | | matches | | 0 | "She clutched the Heartstone pendant," | | 1 | "Her voice sounded too loud" | | 2 | "It was as if the" | | 3 | "She should leave." | | 4 | "She wore a long, flowing" | | 5 | "She glided closer, her feet" | | 6 | "She needed to get out" | | 7 | "It was as if the" | | 8 | "It lunged for her, moving" | | 9 | "It turned, its eyes glowing" | | 10 | "She had to get out." | | 11 | "it hissed, its breath cold" | | 12 | "She closed her fingers around" | | 13 | "It wasn't just an artifact" | | 14 | "It cowered, its form flickering" | | 15 | "She had to leave." | | 16 | "She collapsed against a tree," | | 17 | "She had questions now, and" |
| | ratio | 0.222 | |
| 46.42% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 67 | | totalSentences | 81 | | matches | | 0 | "The trees loomed like silent" | | 1 | "Moonlight filtered through the branches," | | 2 | "She clutched the Heartstone pendant," | | 3 | "The Grove had seemed like" | | 4 | "The standing stones at the" | | 5 | "Rory shook her head, trying" | | 6 | "Her voice sounded too loud" | | 7 | "The usual nighttime sounds of" | | 8 | "It was as if the" | | 9 | "Rory took a step forward," | | 10 | "The pendant grew warmer, pulsing" | | 11 | "She should leave." | | 12 | "This place felt wrong, unnatural." | | 13 | "Movement caught her eye at" | | 14 | "A shadow detached itself from" | | 15 | "She wore a long, flowing" | | 16 | "The woman's voice carried a" | | 17 | "Rory's hand tightened around the" | | 18 | "The woman smiled, but it" | | 19 | "She glided closer, her feet" |
| | ratio | 0.827 | |
| 61.73% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 81 | | matches | | 0 | "Before whatever that thing was" |
| | ratio | 0.012 | |
| 82.07% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 47 | | technicalSentenceCount | 4 | | matches | | 0 | "She wore a long, flowing dress that seemed to shift colors in the moonlight - silver, then blue, then a deep, unsettling purple." | | 1 | "The woman tilted her head, studying Rory with an intensity that made her skin crawl." | | 2 | "It was as if the Grove itself held her in place, the ancient oaks whispering secrets she couldn't quite hear." | | 3 | "The thing that had been a woman smiled, revealing teeth far too sharp." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 7 | | uselessAdditionCount | 2 | | matches | | 0 | "it hissed, its breath cold against her face" | | 1 | "Rory said, her voice steady despite the fear coursing through her" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 4 | | fancyCount | 3 | | fancyTags | | 0 | "she whispered (whisper)" | | 1 | "it hissed (hiss)" | | 2 | "she whispered (whisper)" |
| | dialogueSentences | 19 | | tagDensity | 0.211 | | leniency | 0.421 | | rawRatio | 0.75 | | effectiveRatio | 0.316 | |