| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 13 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 22 | | tagDensity | 0.591 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 75.64% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 821 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "very" | | 1 | "slightly" | | 2 | "carefully" |
| |
| 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) | |
| 2.56% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 821 | | totalAiIsms | 16 | | found | | | highlights | | 0 | "sense of" | | 1 | "whisper" | | 2 | "otherworldly" | | 3 | "intensity" | | 4 | "sanctuary" | | 5 | "dancing" | | 6 | "dance" | | 7 | "echoed" | | 8 | "ensuring" | | 9 | "scanning" | | 10 | "warmth" | | 11 | "comforting" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
|
| | highlights | | |
| 85.32% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 42 | | matches | | 0 | "filled with awe" | | 1 | "d with awe" |
| |
| 6.80% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 4 | | narrationSentences | 42 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 51 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 31 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 819 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 48.52% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 26 | | wordCount | 542 | | uniqueNames | 5 | | maxNameDensity | 2.03 | | worstName | "Rory" | | maxWindowNameDensity | 3 | | worstWindowName | "Rory" | | discoveredNames | | Isolde | 6 | | Rory | 11 | | Nyx | 7 | | Heartstone | 1 | | Pendant | 1 |
| | persons | | | places | | | globalScore | 0.485 | | windowScore | 0.667 | |
| 0.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 37 | | glossingSentenceCount | 6 | | matches | | 0 | "as if speaking loudly would disturb some ancient slumber" | | 1 | "as if defying gravity" | | 2 | "sounded like a warning and an invitation s" | | 3 | "as if brushing against an unseen barrier" | | 4 | "sounded like rustling leaves" | | 5 | "As if sensing her determination, the environment around them shifted" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 819 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 51 | | matches | (empty) | |
| 63.65% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 25 | | mean | 32.76 | | std | 12.21 | | cv | 0.373 | | sampleLengths | | 0 | 63 | | 1 | 29 | | 2 | 28 | | 3 | 18 | | 4 | 35 | | 5 | 41 | | 6 | 37 | | 7 | 57 | | 8 | 10 | | 9 | 49 | | 10 | 34 | | 11 | 31 | | 12 | 33 | | 13 | 38 | | 14 | 34 | | 15 | 31 | | 16 | 21 | | 17 | 37 | | 18 | 22 | | 19 | 21 | | 20 | 44 | | 21 | 39 | | 22 | 12 | | 23 | 28 | | 24 | 27 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 42 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 109 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 51 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 543 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.03314917127071823 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.014732965009208104 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 51 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 51 | | mean | 16.06 | | std | 7.15 | | cv | 0.445 | | sampleLengths | | 0 | 22 | | 1 | 22 | | 2 | 19 | | 3 | 24 | | 4 | 5 | | 5 | 11 | | 6 | 17 | | 7 | 18 | | 8 | 15 | | 9 | 10 | | 10 | 10 | | 11 | 22 | | 12 | 19 | | 13 | 22 | | 14 | 15 | | 15 | 9 | | 16 | 19 | | 17 | 29 | | 18 | 10 | | 19 | 19 | | 20 | 3 | | 21 | 27 | | 22 | 8 | | 23 | 10 | | 24 | 16 | | 25 | 31 | | 26 | 9 | | 27 | 24 | | 28 | 12 | | 29 | 26 | | 30 | 5 | | 31 | 29 | | 32 | 7 | | 33 | 24 | | 34 | 21 | | 35 | 6 | | 36 | 31 | | 37 | 22 | | 38 | 7 | | 39 | 14 | | 40 | 12 | | 41 | 12 | | 42 | 20 | | 43 | 10 | | 44 | 14 | | 45 | 15 | | 46 | 12 | | 47 | 12 | | 48 | 16 | | 49 | 14 |
| |
| 66.01% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.43137254901960786 | | totalSentences | 51 | | uniqueOpeners | 22 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 39 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 9 | | totalSentences | 39 | | matches | | 0 | "she replied, her words dancing" | | 1 | "She gestured, and a gust" | | 2 | "she asked, her voice uncertain" | | 3 | "She glanced at Nyx, whose" | | 4 | "She touched the Heartstone Pendant," | | 5 | "she asked, her eyes scanning" | | 6 | "It felt alive, pulsing with" | | 7 | "She closed her fingers around" | | 8 | "She felt lighter, her worries" |
| | ratio | 0.231 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 38 | | totalSentences | 39 | | matches | | 0 | "Rory took in the ancient" | | 1 | "The grove existed between worlds," | | 2 | "The air felt heavier, as" | | 3 | "Nyx urged, their voice a" | | 4 | "The group ventured deeper, Rory's" | | 5 | "The ground sloped downwards, and" | | 6 | "Rory asked, her voice hushed" | | 7 | "Isolde turned, her eyes piercing" | | 8 | "she replied, her words dancing" | | 9 | "She gestured, and a gust" | | 10 | "The petals, in shades of" | | 11 | "Nyx's form shifted, their shadow" | | 12 | "Rory's eyes widened as she" | | 13 | "The tree trunks, gnarled and" | | 14 | "A faint, shimmering distortion in" | | 15 | "she asked, her voice uncertain" | | 16 | "Isolde's laughter tinkled like a" | | 17 | "Rory's heart pounded as she" | | 18 | "Isolde's words sounded like a" | | 19 | "She glanced at Nyx, whose" |
| | ratio | 0.974 | |
| 100.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 39 | | matches | | 0 | "As if sensing her determination," |
| | ratio | 0.026 | |
| 18.63% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 23 | | technicalSentenceCount | 4 | | matches | | 0 | "The ground sloped downwards, and trees became more sparse, their branches twisting and contorting into otherworldly shapes." | | 1 | "She gestured, and a gust of wind followed her hand's path, rustling leaves and sending a shower of wildflowers fluttering around them." | | 2 | "Nyx's form shifted, their shadow spreading and receding with the movement, as if the grove itself were alive, whispering secrets to them." | | 3 | "It felt alive, pulsing with a power that made her skin tingle." |
| |
| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 13 | | uselessAdditionCount | 5 | | matches | | 0 | "she asked, her voice uncertain" | | 1 | "Nyx asked, their eyes glowing with a faint violet light" | | 2 | "She touched, its crimson glow intensifying under her fingertips" | | 3 | "she asked, her eyes scanning the shifting shadows and twisted trees" | | 4 | "Rory whispered, not wanting to disturb the serene atmosphere" |
| |
| 13.64% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 11 | | fancyCount | 3 | | fancyTags | | 0 | "Nyx urged (urge)" | | 1 | "they whispered (whisper)" | | 2 | "Rory whispered (whisper)" |
| | dialogueSentences | 22 | | tagDensity | 0.5 | | leniency | 1 | | rawRatio | 0.273 | | effectiveRatio | 0.273 | |