| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 6 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 30 | | tagDensity | 0.2 | | leniency | 0.4 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1704 | | 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) | |
| 23.71% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1704 | | totalAiIsms | 26 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | | 6 | | | 7 | | | 8 | | | 9 | | | 10 | | | 11 | | | 12 | | | 13 | | | 14 | | | 15 | | | 16 | | | 17 | |
| | highlights | | 0 | "chill" | | 1 | "velvet" | | 2 | "warmth" | | 3 | "silk" | | 4 | "pulsed" | | 5 | "pulse" | | 6 | "silence" | | 7 | "echoed" | | 8 | "weight" | | 9 | "scanned" | | 10 | "resonated" | | 11 | "gloom" | | 12 | "shattered" | | 13 | "searing" | | 14 | "churned" | | 15 | "etched" | | 16 | "raced" | | 17 | "fractured" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 2 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
| | 1 | | label | "blink of an eye" | | count | 1 |
|
| | highlights | | 0 | "eyes narrowed" | | 1 | "in the blink of an eye" |
| |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 203 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 203 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 227 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 40 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 1 | | totalWords | 1703 | | ratio | 0.001 | | matches | | |
| 97.22% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 9 | | unquotedAttributions | 1 | | matches | | 0 | "Cool-headed, she told herself." |
| |
| 45.10% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 43 | | wordCount | 1430 | | uniqueNames | 9 | | maxNameDensity | 2.1 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Carter | 1 | | Richmond | 1 | | Park | 1 | | Rory | 30 | | Heartstone | 6 | | Golden | 1 | | Empress | 1 | | Evan | 1 | | Hel | 1 |
| | persons | | 0 | "Carter" | | 1 | "Rory" | | 2 | "Heartstone" | | 3 | "Empress" | | 4 | "Evan" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Golden" |
| | globalScore | 0.451 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 103 | | glossingSentenceCount | 0 | | matches | (empty) | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1703 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 227 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 53 | | mean | 32.13 | | std | 25.12 | | cv | 0.782 | | sampleLengths | | 0 | 79 | | 1 | 70 | | 2 | 81 | | 3 | 54 | | 4 | 2 | | 5 | 56 | | 6 | 2 | | 7 | 25 | | 8 | 10 | | 9 | 52 | | 10 | 1 | | 11 | 30 | | 12 | 57 | | 13 | 15 | | 14 | 51 | | 15 | 4 | | 16 | 77 | | 17 | 1 | | 18 | 21 | | 19 | 20 | | 20 | 36 | | 21 | 55 | | 22 | 17 | | 23 | 60 | | 24 | 13 | | 25 | 80 | | 26 | 3 | | 27 | 35 | | 28 | 12 | | 29 | 33 | | 30 | 57 | | 31 | 8 | | 32 | 39 | | 33 | 58 | | 34 | 8 | | 35 | 48 | | 36 | 12 | | 37 | 62 | | 38 | 20 | | 39 | 41 | | 40 | 1 | | 41 | 3 | | 42 | 3 | | 43 | 60 | | 44 | 27 | | 45 | 5 | | 46 | 58 | | 47 | 33 | | 48 | 58 | | 49 | 13 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 203 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 286 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 227 | | ratio | 0.004 | | matches | | 0 | "The scent struck Rory's throat—sweet rot and iron." |
| |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1435 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 28 | | adverbRatio | 0.01951219512195122 | | lyAdverbCount | 6 | | lyAdverbRatio | 0.004181184668989547 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 227 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 227 | | mean | 7.5 | | std | 5.74 | | cv | 0.766 | | sampleLengths | | 0 | 10 | | 1 | 22 | | 2 | 17 | | 3 | 22 | | 4 | 8 | | 5 | 8 | | 6 | 8 | | 7 | 6 | | 8 | 19 | | 9 | 14 | | 10 | 11 | | 11 | 4 | | 12 | 7 | | 13 | 15 | | 14 | 5 | | 15 | 20 | | 16 | 11 | | 17 | 5 | | 18 | 4 | | 19 | 4 | | 20 | 7 | | 21 | 1 | | 22 | 1 | | 23 | 1 | | 24 | 6 | | 25 | 10 | | 26 | 4 | | 27 | 2 | | 28 | 12 | | 29 | 4 | | 30 | 16 | | 31 | 2 | | 32 | 7 | | 33 | 18 | | 34 | 2 | | 35 | 9 | | 36 | 3 | | 37 | 9 | | 38 | 8 | | 39 | 2 | | 40 | 3 | | 41 | 8 | | 42 | 6 | | 43 | 2 | | 44 | 6 | | 45 | 10 | | 46 | 6 | | 47 | 11 | | 48 | 14 | | 49 | 3 |
| |
| 28.85% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 48 | | diversityRatio | 0.2026431718061674 | | totalSentences | 227 | | uniqueOpeners | 46 | |
| 54.64% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 183 | | matches | | 0 | "Just like the interview." | | 1 | "Just like the day she" | | 2 | "Too many joints." |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 53 | | totalSentences | 183 | | matches | | 0 | "She paused, one hand drifting" | | 1 | "She caught her sleeve and" | | 2 | "She hadn't come for food." | | 3 | "She came because the pendant" | | 4 | "She scanned the perimeter." | | 5 | "It resonated from the ground," | | 6 | "Her bright blue eyes narrowed," | | 7 | "She didn't flinch." | | 8 | "She didn't reach for a" | | 9 | "She planted her feet and" | | 10 | "She looked down." | | 11 | "She spoke the word level." | | 12 | "Her voice didn't crack." | | 13 | "She raised her chin, forcing" | | 14 | "She stepped toward the center" | | 15 | "Her body wanted to run" | | 16 | "She forced her legs to" | | 17 | "She would not be led" | | 18 | "They slithered across the ground," | | 19 | "Her shoulder-length black hair whipped" |
| | ratio | 0.29 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 174 | | totalSentences | 183 | | matches | | 0 | "The ancient oaks pierced the" | | 1 | "Rory Carter slipped through the" | | 2 | "The air shifted instantly, losing" | | 3 | "Wildflowers bloomed in impossible shades" | | 4 | "The scent struck Rory's throat—sweet" | | 5 | "She paused, one hand drifting" | | 6 | "The silver chain bit cold" | | 7 | "A deep crimson heat radiated" | | 8 | "The faint inner glow cast" | | 9 | "She caught her sleeve and" | | 10 | "The grove demanded silence." | | 11 | "Rory adjusted her grip on" | | 12 | "The delivery cases from the" | | 13 | "She hadn't come for food." | | 14 | "She came because the pendant" | | 15 | "Eva's warnings about the park" | | 16 | "Intuition drove her feet forward." | | 17 | "A drip fell from the" | | 18 | "Rory turned her head." | | 19 | "The wildflowers nearest her boots" |
| | ratio | 0.951 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 183 | | matches | (empty) | | ratio | 0 | |
| 47.62% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 45 | | technicalSentenceCount | 6 | | matches | | 0 | "Wildflowers bloomed in impossible shades of violet and bruised yellow, their petals unfolding with a soft, wet sound that mimicked tearing silk." | | 1 | "A deep crimson heat radiated from the thumbnail-sized gem, throbbing in a rhythm that didn't match her own pulse." | | 2 | "The skin around the scar darkened, veins turning a sickly grey as if ink spread beneath the surface." | | 3 | "The wildflowers erupted in a burst of growth, stems thickening, leaves unfurling to reveal patterns that resembled too many eyes." | | 4 | "The shapes coalesced, rising into a form that had no face, only a smooth plane of negative space that sucked the light from the air." | | 5 | "The skin looked whole, but the flesh beneath felt hollow, as if something scooped out the muscle and replaced it with air." |
| |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 6 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 83.33% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "Rory whispered (whisper)" | | 1 | "the voice hissed (hiss)" |
| | dialogueSentences | 30 | | tagDensity | 0.167 | | leniency | 0.333 | | rawRatio | 0.4 | | effectiveRatio | 0.133 | |