| 0.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 12 | | adverbTagCount | 3 | | adverbTags | | 0 | "Isolde replied cryptically [cryptically]" | | 1 | "Rory asked warily [warily]" | | 2 | "Nyx asked sharply [sharply]" |
| | dialogueSentences | 27 | | tagDensity | 0.444 | | leniency | 0.889 | | rawRatio | 0.25 | | effectiveRatio | 0.222 | |
| 69.81% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 828 | | totalAiIsmAdverbs | 5 | | found | | | highlights | | 0 | "very" | | 1 | "gently" | | 2 | "carefully" | | 3 | "warily" | | 4 | "sharply" |
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| 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) | |
| 51.69% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 828 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "glinting" | | 1 | "flickered" | | 2 | "pulsed" | | 3 | "potential" | | 4 | "fluttered" | | 5 | "whisper" | | 6 | "silk" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 0 | | maxInWindow | 0 | | found | (empty) | | highlights | (empty) | |
| 97.68% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 2 | | narrationSentences | 61 | | matches | | 0 | "d in wonder" | | 1 | "t in delight" |
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| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 61 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 76 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 24 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 829 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 6 | | unquotedAttributions | 0 | | matches | (empty) | |
| 52.60% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 37 | | wordCount | 616 | | uniqueNames | 7 | | maxNameDensity | 1.95 | | worstName | "Rory" | | maxWindowNameDensity | 2.5 | | worstWindowName | "Isolde" | | discoveredNames | | Veil | 2 | | Nyx | 8 | | Isolde | 11 | | Helbound | 1 | | Rory | 12 | | Heartstone | 2 | | Dymas | 1 |
| | persons | | 0 | "Veil" | | 1 | "Nyx" | | 2 | "Isolde" | | 3 | "Rory" |
| | places | | | globalScore | 0.526 | | windowScore | 0.833 | |
| 95.65% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 46 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed infused with an invitation to revel" |
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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 | 829 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 76 | | matches | (empty) | |
| 80.94% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 29 | | mean | 28.59 | | std | 12.39 | | cv | 0.433 | | sampleLengths | | 0 | 43 | | 1 | 19 | | 2 | 24 | | 3 | 47 | | 4 | 37 | | 5 | 51 | | 6 | 16 | | 7 | 16 | | 8 | 29 | | 9 | 20 | | 10 | 24 | | 11 | 40 | | 12 | 37 | | 13 | 20 | | 14 | 27 | | 15 | 54 | | 16 | 47 | | 17 | 20 | | 18 | 23 | | 19 | 17 | | 20 | 17 | | 21 | 43 | | 22 | 34 | | 23 | 24 | | 24 | 5 | | 25 | 30 | | 26 | 10 | | 27 | 26 | | 28 | 29 |
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| 99.51% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 61 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 1 | | totalVerbs | 121 | | matches | | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 1 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 76 | | ratio | 0.013 | | matches | | 0 | "In the distance, a clamor arose - cheering and applause." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 339 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 11 | | adverbRatio | 0.032448377581120944 | | lyAdverbCount | 5 | | lyAdverbRatio | 0.014749262536873156 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 76 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 76 | | mean | 10.91 | | std | 5.46 | | cv | 0.501 | | sampleLengths | | 0 | 21 | | 1 | 22 | | 2 | 13 | | 3 | 6 | | 4 | 11 | | 5 | 6 | | 6 | 7 | | 7 | 20 | | 8 | 10 | | 9 | 4 | | 10 | 13 | | 11 | 14 | | 12 | 9 | | 13 | 14 | | 14 | 10 | | 15 | 9 | | 16 | 23 | | 17 | 9 | | 18 | 7 | | 19 | 9 | | 20 | 2 | | 21 | 14 | | 22 | 17 | | 23 | 7 | | 24 | 5 | | 25 | 20 | | 26 | 8 | | 27 | 16 | | 28 | 2 | | 29 | 20 | | 30 | 7 | | 31 | 5 | | 32 | 6 | | 33 | 16 | | 34 | 15 | | 35 | 6 | | 36 | 12 | | 37 | 8 | | 38 | 13 | | 39 | 6 | | 40 | 8 | | 41 | 10 | | 42 | 17 | | 43 | 8 | | 44 | 19 | | 45 | 14 | | 46 | 12 | | 47 | 21 | | 48 | 7 | | 49 | 4 |
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| 78.95% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 0 | | diversityRatio | 0.47368421052631576 | | totalSentences | 76 | | uniqueOpeners | 36 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 12 | | totalSentences | 56 | | matches | | 0 | "She emerged into a realm" | | 1 | "She glanced around, luminescent eyes" | | 2 | "They set off down the" | | 3 | "She drifted towards an arbor" | | 4 | "She needed a clear head," | | 5 | "She had to trust in" | | 6 | "They meandered through the vineyards" | | 7 | "Her eyes fluttered shut in" | | 8 | "she said, wiping her face" | | 9 | "She ate another, and another," | | 10 | "They came upon a sprawling" | | 11 | "They turned away from the" |
| | ratio | 0.214 | |
| 40.36% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 47 | | totalSentences | 56 | | matches | | 0 | "Rory took a deep breath" | | 1 | "She emerged into a realm" | | 2 | "Isolde appeared last, her silver" | | 3 | "She glanced around, luminescent eyes" | | 4 | "Rory gazed in wonder at" | | 5 | "The very air seemed infused" | | 6 | "Nyx's shadowy form flickered." | | 7 | "They set off down the" | | 8 | "Urns of fragrant spices and" | | 9 | "Isolde trailed her fingers over" | | 10 | "Hundreds of Helbound souls sat" | | 11 | "A rush of savory aromas" | | 12 | "Nyx noticed the direction of" | | 13 | "Rory wondered, recalling the stories" | | 14 | "Isolde replied cryptically" | | 15 | "She drifted towards an arbor" | | 16 | "Isolde may be right, but" | | 17 | "She needed a clear head," | | 18 | "The pendant would guide them." | | 19 | "She had to trust in" |
| | ratio | 0.839 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 56 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 25 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 12 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 75.93% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 8 | | fancyCount | 2 | | fancyTags | | 0 | "whispered Nyx (whisper)" | | 1 | "Rory noted (note)" |
| | dialogueSentences | 27 | | tagDensity | 0.296 | | leniency | 0.593 | | rawRatio | 0.25 | | effectiveRatio | 0.148 | |