| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 11 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 69 | | tagDensity | 0.159 | | leniency | 0.319 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2120 | | 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) | |
| 90.57% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2120 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "footsteps" | | 1 | "pulsed" | | 2 | "warmth" |
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| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "eyes widened/narrowed" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 1 | | narrationSentences | 184 | | matches | | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 184 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 242 | | 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 | 2120 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 7 | | unquotedAttributions | 0 | | matches | (empty) | |
| 23.56% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 86 | | wordCount | 1740 | | uniqueNames | 5 | | maxNameDensity | 2.53 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Heartstone | 2 | | Rory | 44 | | Nyx | 20 | | Isolde | 15 | | Marianne | 5 |
| | persons | | 0 | "Heartstone" | | 1 | "Rory" | | 2 | "Nyx" | | 3 | "Isolde" | | 4 | "Marianne" |
| | places | (empty) | | globalScore | 0.236 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 144 | | glossingSentenceCount | 1 | | matches | | 0 | "appeared beside the gold plate" |
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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 | 2120 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 242 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 140 | | mean | 15.14 | | std | 13.15 | | cv | 0.869 | | sampleLengths | | 0 | 26 | | 1 | 17 | | 2 | 9 | | 3 | 12 | | 4 | 11 | | 5 | 25 | | 6 | 18 | | 7 | 5 | | 8 | 7 | | 9 | 8 | | 10 | 9 | | 11 | 9 | | 12 | 15 | | 13 | 5 | | 14 | 3 | | 15 | 55 | | 16 | 44 | | 17 | 17 | | 18 | 7 | | 19 | 2 | | 20 | 23 | | 21 | 3 | | 22 | 9 | | 23 | 7 | | 24 | 12 | | 25 | 9 | | 26 | 38 | | 27 | 35 | | 28 | 11 | | 29 | 6 | | 30 | 16 | | 31 | 11 | | 32 | 6 | | 33 | 22 | | 34 | 2 | | 35 | 3 | | 36 | 4 | | 37 | 16 | | 38 | 1 | | 39 | 11 | | 40 | 14 | | 41 | 7 | | 42 | 11 | | 43 | 5 | | 44 | 5 | | 45 | 12 | | 46 | 22 | | 47 | 5 | | 48 | 14 | | 49 | 58 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 184 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 283 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 3 | | flaggedSentences | 3 | | totalSentences | 242 | | ratio | 0.012 | | matches | | 0 | "She squeezed it over the basket; a silver fish slid out and landed among a dozen others." | | 1 | "Rory touched one; the crust crackled beneath her finger." | | 2 | "One lifted a cup; another reached across the table and stole a morsel from a neighbour’s plate." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1745 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.01489971346704871 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 242 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 242 | | mean | 8.76 | | std | 4.78 | | cv | 0.546 | | sampleLengths | | 0 | 15 | | 1 | 11 | | 2 | 17 | | 3 | 9 | | 4 | 6 | | 5 | 6 | | 6 | 11 | | 7 | 8 | | 8 | 6 | | 9 | 11 | | 10 | 6 | | 11 | 12 | | 12 | 5 | | 13 | 7 | | 14 | 8 | | 15 | 9 | | 16 | 9 | | 17 | 15 | | 18 | 5 | | 19 | 3 | | 20 | 5 | | 21 | 17 | | 22 | 19 | | 23 | 8 | | 24 | 6 | | 25 | 7 | | 26 | 19 | | 27 | 18 | | 28 | 7 | | 29 | 10 | | 30 | 7 | | 31 | 2 | | 32 | 3 | | 33 | 15 | | 34 | 5 | | 35 | 3 | | 36 | 9 | | 37 | 7 | | 38 | 5 | | 39 | 7 | | 40 | 9 | | 41 | 7 | | 42 | 14 | | 43 | 6 | | 44 | 11 | | 45 | 7 | | 46 | 15 | | 47 | 13 | | 48 | 4 | | 49 | 7 |
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| 53.17% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.33884297520661155 | | totalSentences | 242 | | uniqueOpeners | 82 | |
| 37.04% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 180 | | matches | | 0 | "Then she dropped it and" | | 1 | "Somewhere unseen, metal rang against" |
| | ratio | 0.011 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 31 | | totalSentences | 180 | | matches | | 0 | "Its cold bit into her" | | 1 | "She pressed its leaf-shaped point" | | 2 | "She walked on, keeping to" | | 3 | "Her boots struck a tiled" | | 4 | "Its bowl held a bead" | | 5 | "She lifted another spoon by" | | 6 | "They passed between the last" | | 7 | "Their fruit hung in glassy" | | 8 | "Their branches carried plates instead" | | 9 | "Her hair had escaped its" | | 10 | "She peered at Isolde’s ears," | | 11 | "She squeezed it over the" | | 12 | "She nodded towards the avenue" | | 13 | "She pulled her sleeve down" | | 14 | "She went down the slope" | | 15 | "It still pulsed with warmth," | | 16 | "They followed the path downhill." | | 17 | "She lifted it to her" | | 18 | "They reached a terrace where" | | 19 | "She broke a piece from" |
| | ratio | 0.172 | |
| 21.11% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 158 | | totalSentences | 180 | | matches | | 0 | "The Heartstone warmed against Rory’s" | | 1 | "A shimmer stretched across the" | | 2 | "Nyx gathered beside her, their" | | 3 | "Isolde touched one of the" | | 4 | "Rory drew the moonsilver blade" | | 5 | "Its cold bit into her" | | 6 | "She pressed its leaf-shaped point" | | 7 | "The barrier parted without a" | | 8 | "Rory kept the blade raised." | | 9 | "Nyx stretched towards the opening," | | 10 | "Isolde’s pale eyes followed the" | | 11 | "Rory stepped through." | | 12 | "The corridor smelled of baked" | | 13 | "Isolde followed, her silver hair" | | 14 | "The seam closed at her" | | 15 | "The teeth reached from floor" | | 16 | "Rory passed her hand over" | | 17 | "Another bore the marks of" | | 18 | "A low note travelled through" | | 19 | "Rory felt it in her" |
| | ratio | 0.878 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 180 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 80 | | technicalSentenceCount | 2 | | matches | | 0 | "Nyx gathered beside her, their violet eyes hovering above a patch of shadow that had no owner." | | 1 | "Behind her, Nyx slipped through the opening, their form flattening against the floor before rising to their full height." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 11 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | 0 | "Isolde murmured (murmur)" |
| | dialogueSentences | 69 | | tagDensity | 0.043 | | leniency | 0.087 | | rawRatio | 0.333 | | effectiveRatio | 0.029 | |