| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 148 | | 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) | |
| 66.22% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 148 | | totalAiIsms | 1 | | found | | | highlights | | |
| 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 | 10 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 10 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 0.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 10 | | gibberishSentences | 8 | | adjustedGibberishSentences | 8 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 1 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0.8 | | matches | | 0 | "<character id=\"008\" name=\"Evanora \"Tally\" aliases=\"Evanora, the wizened shopkeeper with a shock of curly red hair and currently stringing gears and and a no-nonsense demeanor, her …" | | 1 | "</codex>" | | 2 | "Clement, where she havealed a week's worth of artainted gold nuggets.</location>" | | 3 | "<description>It's a maze of narrow, dimly lit corridors, all converying a sense of disorientation and a whiff of jasmine, perhaps from an unseen assassin.</description>" | | 4 | "<character id=\"009\" name=\"Evanora Clementine\" aliases=\"Evanora, Evan, the Well, the Well, the Well, the Well, the Well, the Well, the Well, the Well, the well, the well.</descripti…" | | 5 | "</codex>" | | 6 | "<location id=\"861\" name=\"Ernest Flannagan\" aliases=\"Ernest, a gruff Irish investigator with a penchant for poetry and a keen mind for history.</location>" | | 7 | "<description>a maze of steel and stone, secreted away beneath Camouflaged doors, where they could pass safely through the heavy drapes that hung across the corridor" |
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| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 148 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 14 | | wordCount | 106 | | uniqueNames | 6 | | maxNameDensity | 7.55 | | worstName | "Well" | | maxWindowNameDensity | 4 | | worstWindowName | "Well" | | discoveredNames | | Clement | 2 | | St | 1 | | Evan | 1 | | Well | 8 | | Irish | 1 | | Camouflaged | 1 |
| | persons | | | places | | | globalScore | 0 | | windowScore | 0.333 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 5 | | 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 | 148 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 10 | | matches | (empty) | |
| 35.94% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 5 | | mean | 29.6 | | std | 8.16 | | cv | 0.276 | | sampleLengths | | |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 10 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 7 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 10 | | ratio | 0 | | matches | (empty) | |
| 95.59% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 111 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 5 | | adverbRatio | 0.04504504504504504 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.018018018018018018 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 10 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 10 | | mean | 14.8 | | std | 10.66 | | cv | 0.72 | | sampleLengths | | 0 | 29 | | 1 | 1 | | 2 | 9 | | 3 | 2 | | 4 | 11 | | 5 | 24 | | 6 | 26 | | 7 | 1 | | 8 | 20 | | 9 | 25 |
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| 73.33% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.5 | | totalSentences | 10 | | uniqueOpeners | 5 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 5 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 0 | | totalSentences | 5 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 5 | | totalSentences | 5 | | matches | | 0 | "Clement, where she havealed a" | | 1 | "<description>It's a maze of narrow," | | 2 | "<character aliases=\"Evanora, Evan, the Well," | | 3 | "<location aliases=\"Ernest, a gruff Irish" | | 4 | "<description>a maze of steel and" |
| | ratio | 1 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 5 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 3 | | technicalSentenceCount | 1 | | matches | | 0 | "<description>a maze of steel and stone, secreted away beneath Camouflaged doors, where they could pass safely through the heavy drapes that hung across the corr…" |
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| 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 | |