| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 96.44% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1404 | | totalAiIsmAdverbs | 1 | | 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) | |
| 78.63% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1404 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "flickered" | | 1 | "pristine" | | 2 | "silence" | | 3 | "weight" | | 4 | "etched" |
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| 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 | 211 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 4 | | hedgeCount | 1 | | narrationSentences | 211 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 211 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 19 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1404 | | ratio | 0 | | matches | (empty) | |
| 0.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 24 | | unquotedAttributions | 17 | | matches | | 0 | "You said he was found here, Quinn said." | | 1 | "So he walked through a wall, Quinn said." | | 2 | "It points to the rift, Eva said." | | 3 | "The body is a marker, Quinn said." | | 4 | "A warning, Eva corrected." | | 5 | "A runner, Eva said." | | 6 | "We need to secure the perimeter, Quinn said." | | 7 | "The market moves, Quinn said." | | 8 | "You have until sunrise, Quinn said." | | 9 | "And bring the K-9 unit, Quinn said." | | 10 | "Secure the area, Quinn said." | | 11 | "Seal it in a lead-lined container, Quinn said." | | 12 | "The Compass was crafted by a Shade artisan, Eva said." | | 13 | "The last person who held it, Eva said." | | 14 | "Morris, Quinn said." | | 15 | "Stay with me, Quinn said." | | 16 | "The market moves, Eva said." |
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| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 87 | | wordCount | 1404 | | uniqueNames | 12 | | maxNameDensity | 2.99 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | Camden | 2 | | Quinn | 42 | | Oxford | 1 | | British | 1 | | Museum | 1 | | Eva | 25 | | Veil | 2 | | Market | 1 | | Compass | 3 | | Morris | 3 | | Shade | 1 | | You | 5 |
| | persons | | 0 | "Camden" | | 1 | "Quinn" | | 2 | "Museum" | | 3 | "Eva" | | 4 | "Market" | | 5 | "Morris" | | 6 | "You" |
| | places | | | globalScore | 0.004 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 127 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed deeper than before" |
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| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 0.712 | | wordCount | 1404 | | matches | | 0 | "Not the features, but the stillness" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 211 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 78 | | mean | 18 | | std | 12.71 | | cv | 0.706 | | sampleLengths | | 0 | 77 | | 1 | 55 | | 2 | 40 | | 3 | 31 | | 4 | 6 | | 5 | 29 | | 6 | 8 | | 7 | 27 | | 8 | 13 | | 9 | 31 | | 10 | 18 | | 11 | 8 | | 12 | 25 | | 13 | 40 | | 14 | 5 | | 15 | 13 | | 16 | 2 | | 17 | 27 | | 18 | 32 | | 19 | 14 | | 20 | 5 | | 21 | 29 | | 22 | 29 | | 23 | 30 | | 24 | 17 | | 25 | 15 | | 26 | 21 | | 27 | 7 | | 28 | 7 | | 29 | 39 | | 30 | 24 | | 31 | 5 | | 32 | 25 | | 33 | 25 | | 34 | 16 | | 35 | 12 | | 36 | 21 | | 37 | 24 | | 38 | 24 | | 39 | 12 | | 40 | 16 | | 41 | 25 | | 42 | 6 | | 43 | 32 | | 44 | 14 | | 45 | 17 | | 46 | 7 | | 47 | 18 | | 48 | 14 | | 49 | 6 |
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| 98.61% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 211 | | matches | | 0 | "was found" | | 1 | "was placed" | | 2 | "was gone" | | 3 | "was crafted" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 262 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 211 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1406 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 17 | | adverbRatio | 0.01209103840682788 | | lyAdverbCount | 4 | | lyAdverbRatio | 0.002844950213371266 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 211 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 211 | | mean | 6.65 | | std | 3.2 | | cv | 0.481 | | sampleLengths | | 0 | 13 | | 1 | 16 | | 2 | 12 | | 3 | 17 | | 4 | 19 | | 5 | 14 | | 6 | 14 | | 7 | 16 | | 8 | 11 | | 9 | 11 | | 10 | 9 | | 11 | 5 | | 12 | 15 | | 13 | 5 | | 14 | 8 | | 15 | 12 | | 16 | 6 | | 17 | 3 | | 18 | 3 | | 19 | 9 | | 20 | 9 | | 21 | 11 | | 22 | 8 | | 23 | 2 | | 24 | 10 | | 25 | 9 | | 26 | 6 | | 27 | 6 | | 28 | 7 | | 29 | 4 | | 30 | 13 | | 31 | 8 | | 32 | 6 | | 33 | 6 | | 34 | 6 | | 35 | 3 | | 36 | 3 | | 37 | 8 | | 38 | 3 | | 39 | 2 | | 40 | 7 | | 41 | 8 | | 42 | 5 | | 43 | 6 | | 44 | 7 | | 45 | 6 | | 46 | 3 | | 47 | 8 | | 48 | 6 | | 49 | 4 |
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| 40.05% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 21 | | diversityRatio | 0.22274881516587677 | | totalSentences | 211 | | uniqueOpeners | 47 | |
| 16.84% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 198 | | matches | | 0 | "Somewhere deep in the dark," |
| | ratio | 0.005 | |
| 70.51% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 74 | | totalSentences | 198 | | matches | | 0 | "She adjusted the strap of" | | 1 | "Her curly red hair escaped" | | 2 | "She tucked a strand behind" | | 3 | "She lifted the sheet with" | | 4 | "She stood and brushed the" | | 5 | "You said he was found" | | 6 | "She shifted her weight from" | | 7 | "He didn't, Eva said." | | 8 | "She pulled a book from" | | 9 | "They hold the space open." | | 10 | "She stepped closer, examining the" | | 11 | "He walked here." | | 12 | "He didn't walk, Quinn said." | | 13 | "He was placed." | | 14 | "They use this place for" | | 15 | "She swept the beam across" | | 16 | "She crouched again, scraping a" | | 17 | "It's from the Compass, Eva" | | 18 | "She pointed to the stain." | | 19 | "It leaves a trace when" |
| | ratio | 0.374 | |
| 38.28% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 167 | | totalSentences | 198 | | matches | | 0 | "The air in the abandoned" | | 1 | "Harlow Quinn stepped over a" | | 2 | "The fluorescent lights overhead flickered," | | 3 | "She adjusted the strap of" | | 4 | "Eva stood near the platform" | | 5 | "Her curly red hair escaped" | | 6 | "She tucked a strand behind" | | 7 | "The smell of old paper" | | 8 | "Quinn walked past her, stopping" | | 9 | "A sheet covered a shape" | | 10 | "The victim wore a tailored" | | 11 | "Quinn knelt beside the body." | | 12 | "She lifted the sheet with" | | 13 | "The man's face remained slack," | | 14 | "She stood and brushed the" | | 15 | "The silence in the tunnel" | | 16 | "You said he was found" | | 17 | "She shifted her weight from" | | 18 | "The British Museum archives called" | | 19 | "Quinn turned to face the" |
| | ratio | 0.843 | |
| 25.25% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 198 | | matches | | 0 | "If that thing points to" |
| | ratio | 0.005 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 33 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 0 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | |