| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 48 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 95.30% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 2127 | | 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) | |
| 74.14% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 2127 | | totalAiIsms | 11 | | found | | | highlights | | 0 | "throb" | | 1 | "pulsed" | | 2 | "chilled" | | 3 | "stomach" | | 4 | "lurched" | | 5 | "wavering" | | 6 | "porcelain" | | 7 | "crystal" | | 8 | "traced" | | 9 | "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 | 0 | | narrationSentences | 207 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 207 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 237 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 29 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 2127 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 19 | | unquotedAttributions | 0 | | matches | (empty) | |
| 40.02% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 83 | | wordCount | 1864 | | uniqueNames | 12 | | maxNameDensity | 2.2 | | worstName | "Rory" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Rory" | | discoveredNames | | Isolde | 16 | | Rory | 41 | | Richmond | 2 | | Park | 2 | | Nyx | 15 | | English | 1 | | Golden | 1 | | Empress | 1 | | Hel | 1 | | Earth | 1 | | Yu-Fei | 1 | | London | 1 |
| | persons | | 0 | "Isolde" | | 1 | "Rory" | | 2 | "Nyx" | | 3 | "Yu-Fei" |
| | places | | 0 | "Richmond" | | 1 | "Park" | | 2 | "Golden" | | 3 | "Earth" | | 4 | "London" |
| | globalScore | 0.4 | | windowScore | 0.5 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 144 | | 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 | 2127 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 2 | | totalSentences | 237 | | matches | | 0 | "saw that Isolde’s" | | 1 | "see that much" |
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| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 103 | | mean | 20.65 | | std | 16.5 | | cv | 0.799 | | sampleLengths | | 0 | 14 | | 1 | 38 | | 2 | 42 | | 3 | 6 | | 4 | 30 | | 5 | 7 | | 6 | 37 | | 7 | 15 | | 8 | 3 | | 9 | 54 | | 10 | 18 | | 11 | 11 | | 12 | 29 | | 13 | 3 | | 14 | 5 | | 15 | 58 | | 16 | 13 | | 17 | 48 | | 18 | 61 | | 19 | 8 | | 20 | 5 | | 21 | 2 | | 22 | 14 | | 23 | 39 | | 24 | 43 | | 25 | 42 | | 26 | 23 | | 27 | 24 | | 28 | 20 | | 29 | 7 | | 30 | 4 | | 31 | 1 | | 32 | 16 | | 33 | 7 | | 34 | 53 | | 35 | 38 | | 36 | 9 | | 37 | 4 | | 38 | 3 | | 39 | 6 | | 40 | 39 | | 41 | 3 | | 42 | 51 | | 43 | 3 | | 44 | 4 | | 45 | 3 | | 46 | 21 | | 47 | 25 | | 48 | 13 | | 49 | 56 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 3 | | totalSentences | 207 | | matches | | 0 | "was gone" | | 1 | "was laid" | | 2 | "were clenched" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 318 | | matches | | |
| 58.47% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 7 | | flaggedSentences | 7 | | totalSentences | 237 | | ratio | 0.03 | | matches | | 0 | "She had checked her phone twice; the screen showed the same minute both times, then went black." | | 1 | "Nyx slipped through it without touching either side; Isolde followed, ducking her head." | | 2 | "She used to rub it before exams; the habit had survived school, university, and everything she’d done to avoid thinking about either." | | 3 | "Some were small enough for two; others stretched the length of the courtyard, their far ends lost under climbing vines." | | 4 | "A goblet brimmed with something golden as cider; as Rory passed, the surface dimpled toward her hand." | | 5 | "The pale web was a ward; she could see that much from the way it resisted the water." | | 6 | "By the time Rory turned, the grove had vanished; the water reflected the green pavilion roof and three figures standing under it." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1869 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 43 | | adverbRatio | 0.023006955591225255 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.003745318352059925 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 237 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 237 | | mean | 8.97 | | std | 5.23 | | cv | 0.583 | | sampleLengths | | 0 | 14 | | 1 | 12 | | 2 | 15 | | 3 | 11 | | 4 | 14 | | 5 | 28 | | 6 | 6 | | 7 | 15 | | 8 | 11 | | 9 | 4 | | 10 | 7 | | 11 | 5 | | 12 | 16 | | 13 | 16 | | 14 | 4 | | 15 | 11 | | 16 | 3 | | 17 | 8 | | 18 | 15 | | 19 | 17 | | 20 | 14 | | 21 | 9 | | 22 | 9 | | 23 | 3 | | 24 | 8 | | 25 | 7 | | 26 | 5 | | 27 | 12 | | 28 | 5 | | 29 | 3 | | 30 | 5 | | 31 | 9 | | 32 | 4 | | 33 | 19 | | 34 | 13 | | 35 | 13 | | 36 | 8 | | 37 | 5 | | 38 | 12 | | 39 | 4 | | 40 | 6 | | 41 | 11 | | 42 | 15 | | 43 | 12 | | 44 | 11 | | 45 | 9 | | 46 | 29 | | 47 | 3 | | 48 | 5 | | 49 | 5 |
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| 52.74% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 5 | | diversityRatio | 0.3291139240506329 | | totalSentences | 237 | | uniqueOpeners | 78 | |
| 54.95% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 182 | | matches | | 0 | "Then came a scrape from" | | 1 | "Then she saw that Isolde’s" | | 2 | "Then another, farther away." |
| | ratio | 0.016 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 42 | | totalSentences | 182 | | matches | | 0 | "It had been warm since" | | 1 | "She stopped among the wildflowers" | | 2 | "Their violet eyes followed the" | | 3 | "Her silver hair brushed the" | | 4 | "She had checked her phone" | | 5 | "She drew the moonsilver dagger" | | 6 | "She took one step forward." | | 7 | "Her stomach lurched." | | 8 | "She stumbled onto pale gravel" | | 9 | "She had seen photographs of" | | 10 | "Their scents reached Rory in" | | 11 | "Her stomach growled." | | 12 | "She’d eaten before they left." | | 13 | "She hadn’t expected to want" | | 14 | "They followed the sound." | | 15 | "Their branches interlocked above the" | | 16 | "She used to rub it" | | 17 | "It wore a white cook’s" | | 18 | "It went behind a thick" | | 19 | "She wasn’t going after the" |
| | ratio | 0.231 | |
| 61.65% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 145 | | totalSentences | 182 | | matches | | 0 | "It had been warm since" | | 1 | "She stopped among the wildflowers" | | 2 | "Nyx stood under the nearest" | | 3 | "Their violet eyes followed the" | | 4 | "Isolde stepped between the stones." | | 5 | "Her silver hair brushed the" | | 6 | "Rory glanced at Nyx." | | 7 | "The grove had already played" | | 8 | "Rory had watched the sun" | | 9 | "She had checked her phone" | | 10 | "Whatever waited beyond the oaks," | | 11 | "She drew the moonsilver dagger" | | 12 | "The leaf-shaped blade chilled her" | | 13 | "Nyx’s eyes narrowed." | | 14 | "Rory saw nothing but trunks" | | 15 | "She took one step forward." | | 16 | "The air pressed against her" | | 17 | "Another step, and it gave." | | 18 | "Her stomach lurched." | | 19 | "Amber light filled the world." |
| | ratio | 0.797 | |
| 54.95% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 2 | | totalSentences | 182 | | matches | | 0 | "Now the little crimson stone" | | 1 | "By the time Rory turned," |
| | ratio | 0.011 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 82 | | technicalSentenceCount | 3 | | matches | | 0 | "Nyx stood under the nearest oak, a tall silhouette that swallowed the shade around them." | | 1 | "Their scents reached Rory in layers: honey, damp soil, hot bread, and something rich and savoury that made her think of the duck roasting in the Golden Empress …" | | 2 | "Across the courtyard, a plate that had been empty now held a single ripe fig." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 87.50% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 16 | | fancyCount | 3 | | fancyTags | | 0 | "they whispered (whisper)" | | 1 | "she whispered (whisper)" | | 2 | "Nyx whispered (whisper)" |
| | dialogueSentences | 48 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.188 | | effectiveRatio | 0.125 | |