| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 3 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 90.36% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1037 | | totalAiIsmAdverbs | 2 | | 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) | |
| 0.00% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1037 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | word | "down her spine" | | count | 1 |
| | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | | | 18 | | | 19 | | | 20 | | | 21 | |
| | highlights | | 0 | "warmth" | | 1 | "loomed" | | 2 | "otherworldly" | | 3 | "footsteps" | | 4 | "flicker" | | 5 | "chill" | | 6 | "down her spine" | | 7 | "whisper" | | 8 | "silence" | | 9 | "echo" | | 10 | "chilling" | | 11 | "raced" | | 12 | "intricate" | | 13 | "pulsed" | | 14 | "flickered" | | 15 | "dancing" | | 16 | "sinister" | | 17 | "pounding" | | 18 | "sense of" | | 19 | "resolve" | | 20 | "weight" | | 21 | "newfound" |
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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 | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 76 | | matches | | |
| 30.08% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 6 | | narrationSentences | 76 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 79 | | 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 | 1034 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 3 | | unquotedAttributions | 0 | | matches | (empty) | |
| 75.22% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 32 | | wordCount | 1003 | | uniqueNames | 9 | | maxNameDensity | 1.5 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Rory | 15 | | Richmond | 1 | | Park | 1 | | Heartstone | 5 | | Pendant | 5 | | Fae | 2 | | Grove | 1 | | Earth | 1 |
| | persons | | 0 | "Carter" | | 1 | "Rory" | | 2 | "Pendant" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Heartstone" | | 3 | "Fae" | | 4 | "Grove" |
| | globalScore | 0.752 | | windowScore | 1 | |
| 82.43% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 74 | | glossingSentenceCount | 2 | | matches | | 0 | "as if whispering secrets to one another" | | 1 | "sound that seemed to come from all directions at once" |
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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 | 1034 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 79 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 26 | | mean | 39.77 | | std | 20.19 | | cv | 0.508 | | sampleLengths | | 0 | 68 | | 1 | 59 | | 2 | 62 | | 3 | 47 | | 4 | 68 | | 5 | 47 | | 6 | 25 | | 7 | 28 | | 8 | 3 | | 9 | 40 | | 10 | 62 | | 11 | 44 | | 12 | 53 | | 13 | 37 | | 14 | 2 | | 15 | 45 | | 16 | 11 | | 17 | 10 | | 18 | 18 | | 19 | 33 | | 20 | 9 | | 21 | 49 | | 22 | 61 | | 23 | 45 | | 24 | 50 | | 25 | 58 |
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| 96.03% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 2 | | totalSentences | 76 | | matches | | 0 | "been drawn" | | 1 | "were written" |
| |
| 80.24% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 3 | | totalVerbs | 167 | | matches | | 0 | "was standing" | | 1 | "were speaking" | | 2 | "was happening" |
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| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 79 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1006 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small, leather-bound book," | | 1 | "small crescent-shaped mark" |
| | adverbCount | 23 | | adverbRatio | 0.02286282306163022 | | lyAdverbCount | 9 | | lyAdverbRatio | 0.008946322067594433 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 79 | | echoCount | 0 | | echoWords | (empty) | |
| 93.55% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 79 | | mean | 13.09 | | std | 5.02 | | cv | 0.384 | | sampleLengths | | 0 | 22 | | 1 | 10 | | 2 | 16 | | 3 | 20 | | 4 | 21 | | 5 | 24 | | 6 | 14 | | 7 | 21 | | 8 | 9 | | 9 | 13 | | 10 | 19 | | 11 | 7 | | 12 | 16 | | 13 | 11 | | 14 | 13 | | 15 | 8 | | 16 | 13 | | 17 | 24 | | 18 | 13 | | 19 | 10 | | 20 | 13 | | 21 | 12 | | 22 | 22 | | 23 | 9 | | 24 | 16 | | 25 | 6 | | 26 | 9 | | 27 | 7 | | 28 | 6 | | 29 | 3 | | 30 | 3 | | 31 | 12 | | 32 | 12 | | 33 | 13 | | 34 | 19 | | 35 | 15 | | 36 | 16 | | 37 | 12 | | 38 | 13 | | 39 | 11 | | 40 | 10 | | 41 | 10 | | 42 | 13 | | 43 | 22 | | 44 | 18 | | 45 | 6 | | 46 | 10 | | 47 | 21 | | 48 | 2 | | 49 | 6 |
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| 39.87% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.22784810126582278 | | totalSentences | 79 | | uniqueOpeners | 18 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 98.95% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 23 | | totalSentences | 76 | | matches | | 0 | "She clutched the Heartstone Pendant" | | 1 | "She had promised herself that" | | 2 | "She took a deep breath" | | 3 | "She heard a rustle in" | | 4 | "Her flashlight beam caught a" | | 5 | "She told herself it was" | | 6 | "She stopped to catch her" | | 7 | "Her phone buzzed in her" | | 8 | "She pulled it out, the" | | 9 | "She glanced around, her flashlight" | | 10 | "She took a deep breath" | | 11 | "She felt a presence, something" | | 12 | "She looked around, her flashlight" | | 13 | "She spun around, her heart" | | 14 | "She took a step back," | | 15 | "she demanded, her voice steady" | | 16 | "She felt a surge of" | | 17 | "she said, her voice firm" | | 18 | "She knew she had to" | | 19 | "She saw herself standing in" |
| | ratio | 0.303 | |
| 6.05% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 69 | | totalSentences | 76 | | matches | | 0 | "Aurora Carter, known to her" | | 1 | "The night was unusually still," | | 2 | "She clutched the Heartstone Pendant" | | 3 | "The silver chain glinted in" | | 4 | "Rory had been drawn here" | | 5 | "The sender, an unknown benefactor," | | 6 | "She had promised herself that" | | 7 | "The ancient oak standing stones" | | 8 | "Rory's breath caught in her" | | 9 | "The stones felt alive, their" | | 10 | "She took a deep breath" | | 11 | "The air grew heavier, and" | | 12 | "Wildflowers bloomed year-round here, their" | | 13 | "The Heartstone Pendant warmed in" | | 14 | "She heard a rustle in" | | 15 | "Her flashlight beam caught a" | | 16 | "She told herself it was" | | 17 | "She stopped to catch her" | | 18 | "The wildflowers seemed to shimmer," | | 19 | "A sudden gust of wind" |
| | ratio | 0.908 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 76 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 58 | | technicalSentenceCount | 2 | | matches | | 0 | "The words were written in an unfamiliar language, but she felt an odd familiarity, as if they were speaking directly to her." | | 1 | "A low, whispering voice reached her ears, a melodic yet sinister sound that seemed to come from all directions at once." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 3 | | uselessAdditionCount | 3 | | matches | | 0 | "Rory called out, her voice barely a whisper" | | 1 | "she demanded, her voice steady despite her fear" | | 2 | "she said, her voice firm" |
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| 0.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 2 | | fancyTags | | 0 | "Rory called out (call out)" | | 1 | "she demanded (demand)" |
| | dialogueSentences | 6 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.667 | | effectiveRatio | 0.667 | |