| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | |
| 87.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 385 | | totalAiIsmAdverbs | 1 | | 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) | |
| 48.05% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 385 | | totalAiIsms | 4 | | found | | | highlights | | 0 | "pounding" | | 1 | "sense of" | | 2 | "crystal" | | 3 | "chill" |
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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 | 26 | | matches | (empty) | |
| 87.91% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 26 | | filterMatches | (empty) | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 26 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 38 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 387 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 0 | | unquotedAttributions | 0 | | matches | (empty) | |
| 59.56% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 9 | | wordCount | 387 | | uniqueNames | 3 | | maxNameDensity | 1.81 | | worstName | "Rory" | | maxWindowNameDensity | 2 | | worstWindowName | "Rory" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.596 | | windowScore | 1 | |
| 36.36% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 22 | | glossingSentenceCount | 1 | | matches | | 0 | "quite place it, but the more she trudged on, the more the trees felt cage-worn and specious" |
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| 0.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 1 | | per1kWords | 2.584 | | wordCount | 387 | | matches | | 0 | "Not even halfway in and already Rory wanted to be anywhere but here" |
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| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 26 | | matches | (empty) | |
| 68.07% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 8 | | mean | 48.38 | | std | 18.78 | | cv | 0.388 | | sampleLengths | | |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 26 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 59 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 2 | | totalSentences | 26 | | ratio | 0.077 | | matches | | 0 | "The directions had been crystal clear – follow the path to the standing stones, turn left, and keep going until you reach a grove with wildflowers that bloom year round." | | 1 | "But there was work to be done – Hel portals to close, and Riven to contain." |
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| 94.30% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 387 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 18 | | adverbRatio | 0.046511627906976744 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.01808785529715762 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 26 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 26 | | mean | 14.88 | | std | 8.65 | | cv | 0.581 | | sampleLengths | | 0 | 16 | | 1 | 38 | | 2 | 30 | | 3 | 4 | | 4 | 13 | | 5 | 16 | | 6 | 18 | | 7 | 12 | | 8 | 13 | | 9 | 1 | | 10 | 8 | | 11 | 11 | | 12 | 8 | | 13 | 20 | | 14 | 2 | | 15 | 15 | | 16 | 15 | | 17 | 3 | | 18 | 15 | | 19 | 16 | | 20 | 25 | | 21 | 19 | | 22 | 12 | | 23 | 9 | | 24 | 18 | | 25 | 30 |
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| 96.15% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 1 | | diversityRatio | 0.8076923076923077 | | totalSentences | 26 | | uniqueOpeners | 21 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 2 | | totalSentences | 24 | | matches | | 0 | "Just more trees, ninny, have" | | 1 | "More than one small beast" |
| | ratio | 0.083 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 1 | | totalSentences | 24 | | matches | | 0 | "She couldn't quite place it," |
| | ratio | 0.042 | |
| 100.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 10 | | totalSentences | 24 | | matches | | 0 | "Rory's breath misted in the" | | 1 | "The glow of her phone" | | 2 | "The directions had been crystal" | | 3 | "Piece of piss, really." | | 4 | "A twig snapped behind her" | | 5 | "Bunch of empty woods is" | | 6 | "The trees seemed to thicken" | | 7 | "She couldn't quite place it," | | 8 | "Another few paces and the" | | 9 | "Rory nearly stumbled into the" |
| | ratio | 0.417 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 24 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 19 | | technicalSentenceCount | 1 | | matches | | 0 | "The glow of her phone screen illuminated just enough to see the path ahead, but not nearly enough to ease the creeping sense of wrongness that had dogged her fr…" |
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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 | |