| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 23 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 69 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1877 | | 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) | |
| 73.36% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1877 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "chill" | | 1 | "stomach" | | 2 | "trembled" | | 3 | "pulse" | | 4 | "warmth" | | 5 | "comforting" | | 6 | "perfect" | | 7 | "chilled" | | 8 | "silence" |
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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 | 186 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 186 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 232 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 27 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1877 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 23 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 70 | | wordCount | 1559 | | uniqueNames | 7 | | maxNameDensity | 2.25 | | worstName | "Rory" | | maxWindowNameDensity | 4 | | worstWindowName | "Rory" | | discoveredNames | | Veil | 1 | | Heartstone | 4 | | Fae | 2 | | Rory | 35 | | Isolde | 14 | | Nyx | 11 | | One | 3 |
| | persons | | 0 | "Heartstone" | | 1 | "Rory" | | 2 | "Isolde" | | 3 | "Nyx" | | 4 | "One" |
| | places | (empty) | | globalScore | 0.377 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 125 | | glossingSentenceCount | 2 | | matches | | 0 | "looked like heat above a road, though the" | | 1 | "seemed carved from honey" |
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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 | 1877 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 232 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 108 | | mean | 17.38 | | std | 15.69 | | cv | 0.903 | | sampleLengths | | 0 | 33 | | 1 | 14 | | 2 | 18 | | 3 | 5 | | 4 | 6 | | 5 | 31 | | 6 | 18 | | 7 | 9 | | 8 | 7 | | 9 | 17 | | 10 | 7 | | 11 | 15 | | 12 | 3 | | 13 | 38 | | 14 | 9 | | 15 | 39 | | 16 | 21 | | 17 | 9 | | 18 | 18 | | 19 | 39 | | 20 | 8 | | 21 | 11 | | 22 | 38 | | 23 | 3 | | 24 | 45 | | 25 | 18 | | 26 | 2 | | 27 | 27 | | 28 | 11 | | 29 | 5 | | 30 | 9 | | 31 | 10 | | 32 | 18 | | 33 | 3 | | 34 | 61 | | 35 | 7 | | 36 | 32 | | 37 | 5 | | 38 | 3 | | 39 | 44 | | 40 | 18 | | 41 | 19 | | 42 | 6 | | 43 | 9 | | 44 | 49 | | 45 | 13 | | 46 | 4 | | 47 | 13 | | 48 | 5 | | 49 | 9 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 186 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 270 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 1 | | flaggedSentences | 1 | | totalSentences | 232 | | ratio | 0.004 | | matches | | 0 | "Some wore fine coats and bright jewellery; others wore the same grey aprons as the orchard workers." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1563 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 21 | | adverbRatio | 0.013435700575815739 | | lyAdverbCount | 0 | | lyAdverbRatio | 0 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 232 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 232 | | mean | 8.09 | | std | 4.65 | | cv | 0.575 | | sampleLengths | | 0 | 17 | | 1 | 16 | | 2 | 7 | | 3 | 7 | | 4 | 7 | | 5 | 11 | | 6 | 5 | | 7 | 6 | | 8 | 14 | | 9 | 17 | | 10 | 11 | | 11 | 7 | | 12 | 5 | | 13 | 4 | | 14 | 7 | | 15 | 10 | | 16 | 7 | | 17 | 3 | | 18 | 4 | | 19 | 5 | | 20 | 6 | | 21 | 4 | | 22 | 3 | | 23 | 6 | | 24 | 5 | | 25 | 27 | | 26 | 9 | | 27 | 5 | | 28 | 16 | | 29 | 13 | | 30 | 5 | | 31 | 12 | | 32 | 9 | | 33 | 6 | | 34 | 3 | | 35 | 6 | | 36 | 8 | | 37 | 4 | | 38 | 9 | | 39 | 11 | | 40 | 19 | | 41 | 5 | | 42 | 3 | | 43 | 5 | | 44 | 6 | | 45 | 3 | | 46 | 8 | | 47 | 13 | | 48 | 14 | | 49 | 3 |
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| 55.46% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 8 | | diversityRatio | 0.35344827586206895 | | totalSentences | 232 | | uniqueOpeners | 82 | |
| 20.70% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 1 | | totalSentences | 161 | | matches | | 0 | "Instead, faint voices rose from" |
| | ratio | 0.006 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 161 | | matches | | 0 | "It looked like heat above" | | 1 | "Its crimson face warmed beneath" | | 2 | "Their violet eyes hovered in" | | 3 | "It touched the rippling air" | | 4 | "Its chill settled into her" | | 5 | "She stepped through." | | 6 | "Her boots met a broad" | | 7 | "It trembled once, then held." | | 8 | "She lifted her face to" | | 9 | "Their trunks twisted in spirals," | | 10 | "It struck the path with" | | 11 | "She stepped away." | | 12 | "Their faces had worn smooth," | | 13 | "Its surface shone red-gold, thick" | | 14 | "Its note rolled across the" | | 15 | "They wore long aprons the" | | 16 | "Its warmth pressed against her" | | 17 | "They descended toward the orchards." | | 18 | "Its trunk had split down" | | 19 | "Her voice rasped as if" |
| | ratio | 0.161 | |
| 43.85% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 134 | | totalSentences | 161 | | matches | | 0 | "The tear in the Veil" | | 1 | "It looked like heat above" | | 2 | "Rory held the Heartstone against" | | 3 | "Its crimson face warmed beneath" | | 4 | "Their violet eyes hovered in" | | 5 | "Isolde stood at the edge" | | 6 | "The Fae blade in Rory’s" | | 7 | "Rory glanced at the gap." | | 8 | "Nyx’s shadow stretched across the" | | 9 | "It touched the rippling air" | | 10 | "Rory drew the moonsilver dagger." | | 11 | "Its chill settled into her" | | 12 | "She stepped through." | | 13 | "Pressure closed over her ears." | | 14 | "The Heartstone burned against her" | | 15 | "Her boots met a broad" | | 16 | "Amber light filled the sky." | | 17 | "It trembled once, then held." | | 18 | "Nyx crossed next, their body" | | 19 | "Isolde followed without leaving a" |
| | ratio | 0.832 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 161 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 66 | | technicalSentenceCount | 1 | | matches | | 0 | "Around the fountain, market stalls offered black pears, glass jars of amber honey, bundles of herbs that twitched when the breeze touched them." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 23 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 92.03% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 23 | | fancyCount | 4 | | fancyTags | | 0 | "they whispered (whisper)" | | 1 | "Nyx added (add)" | | 2 | "she murmured (murmur)" | | 3 | "The vendor pushed (push)" |
| | dialogueSentences | 69 | | tagDensity | 0.333 | | leniency | 0.667 | | rawRatio | 0.174 | | effectiveRatio | 0.116 | |