| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 2 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 3 | | tagDensity | 0.667 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 80.43% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 511 | | 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) | |
| 11.94% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 511 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "footsteps" | | 1 | "gloom" | | 2 | "silence" | | 3 | "loomed" | | 4 | "pulsed" | | 5 | "rhythmic" | | 6 | "traced" | | 7 | "echoed" | | 8 | "chilling" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 55 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 55 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 56 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 21 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 511 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 6 | | wordCount | 501 | | uniqueNames | 6 | | maxNameDensity | 0.2 | | worstName | "Richmond" | | maxWindowNameDensity | 0 | | worstWindowName | (null) | | discoveredNames | | Richmond | 1 | | Park | 1 | | Thames | 1 | | November | 1 | | Shadows | 1 | | Cardiff | 1 |
| | persons | | | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Thames" | | 3 | "Cardiff" |
| | globalScore | 1 | | windowScore | 1 | |
| 93.18% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 44 | | glossingSentenceCount | 1 | | matches | | 0 | "sounded like dry leaves scraping across co" |
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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 | 511 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 56 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 17 | | mean | 30.06 | | std | 15.38 | | cv | 0.512 | | sampleLengths | | 0 | 60 | | 1 | 39 | | 2 | 50 | | 3 | 24 | | 4 | 41 | | 5 | 7 | | 6 | 18 | | 7 | 16 | | 8 | 33 | | 9 | 12 | | 10 | 27 | | 11 | 37 | | 12 | 15 | | 13 | 32 | | 14 | 58 | | 15 | 16 | | 16 | 26 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 55 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 73 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 56 | | ratio | 0 | | matches | (empty) | |
| 88.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 504 | | adjectiveStacks | 2 | | stackExamples | | 0 | "small crescent-shaped scar" | | 1 | "gray, hair-thin filaments," |
| | adverbCount | 13 | | adverbRatio | 0.025793650793650792 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.013888888888888888 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 56 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 56 | | mean | 9.13 | | std | 4.47 | | cv | 0.49 | | sampleLengths | | 0 | 12 | | 1 | 11 | | 2 | 6 | | 3 | 19 | | 4 | 12 | | 5 | 6 | | 6 | 3 | | 7 | 9 | | 8 | 10 | | 9 | 11 | | 10 | 10 | | 11 | 12 | | 12 | 12 | | 13 | 7 | | 14 | 3 | | 15 | 6 | | 16 | 8 | | 17 | 10 | | 18 | 6 | | 19 | 5 | | 20 | 12 | | 21 | 7 | | 22 | 5 | | 23 | 12 | | 24 | 7 | | 25 | 7 | | 26 | 11 | | 27 | 16 | | 28 | 6 | | 29 | 11 | | 30 | 8 | | 31 | 8 | | 32 | 7 | | 33 | 5 | | 34 | 3 | | 35 | 9 | | 36 | 10 | | 37 | 5 | | 38 | 9 | | 39 | 12 | | 40 | 16 | | 41 | 12 | | 42 | 1 | | 43 | 1 | | 44 | 1 | | 45 | 12 | | 46 | 20 | | 47 | 8 | | 48 | 15 | | 49 | 17 |
| |
| 72.02% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.4642857142857143 | | totalSentences | 56 | | uniqueOpeners | 26 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 52 | | matches | | 0 | "Only fog drifted through the" | | 1 | "Just empty turf and the" |
| | ratio | 0.038 | |
| 81.54% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 52 | | matches | | 0 | "She reached beneath the collar" | | 1 | "She spun around." | | 2 | "She exhaled a shaky breath," | | 3 | "Her breath plumed thick and" | | 4 | "They pulsed with a sickly," | | 5 | "She knelt to touch one." | | 6 | "She froze, her muscles locking" | | 7 | "Her voice lacked its usual" | | 8 | "She rose slowly, backing toward" | | 9 | "Her heel struck something solid." | | 10 | "She twisted around." | | 11 | "She ripped her collar open," | | 12 | "She pressed her back against" | | 13 | "Her fingers traced the small" | | 14 | "It hung suspended by gray," | | 15 | "It possessed the general shape" | | 16 | "Its hair hung in wet," | | 17 | "Its voice sounded like dry" |
| | ratio | 0.346 | |
| 46.54% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 43 | | totalSentences | 52 | | matches | | 0 | "The heavy timber gate of" | | 1 | "Aurora pulled her wool coat" | | 2 | "She reached beneath the collar" | | 3 | "The silver chain felt lukewarm," | | 4 | "Footsteps crunched on gravel behind" | | 5 | "She spun around." | | 6 | "The path stretched empty back" | | 7 | "She exhaled a shaky breath," | | 8 | "The city hum died away" | | 9 | "A ring of massive stone" | | 10 | "Moss carpeted their surfaces, thick" | | 11 | "Aurora stepped past the threshold" | | 12 | "The air temperature dropped twenty" | | 13 | "Her breath plumed thick and" | | 14 | "Wildflowers blanketed the clearing floor." | | 15 | "They pulsed with a sickly," | | 16 | "She knelt to touch one." | | 17 | "The stem whipped away from" | | 18 | "A twig snapped behind her" | | 19 | "She froze, her muscles locking" |
| | ratio | 0.827 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 52 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 24 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 2 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |