| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 50 | | tagDensity | 0.42 | | leniency | 0.84 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 100.00% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 885 | | 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) | |
| 49.15% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 885 | | totalAiIsms | 9 | | found | | | highlights | | 0 | "weight" | | 1 | "etched" | | 2 | "standard" | | 3 | "echoed" | | 4 | "vibrated" | | 5 | "gloom" | | 6 | "magnetic" | | 7 | "flickered" |
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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 | 101 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 1 | | hedgeCount | 1 | | narrationSentences | 101 | | filterMatches | | | hedgeMatches | | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 130 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 15 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 885 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 5 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 39 | | wordCount | 673 | | uniqueNames | 3 | | maxNameDensity | 3.57 | | worstName | "Quinn" | | maxWindowNameDensity | 5 | | worstWindowName | "Quinn" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 50 | | glossingSentenceCount | 1 | | matches | | |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 885 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 130 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 48 | | mean | 18.44 | | std | 13.92 | | cv | 0.755 | | sampleLengths | | 0 | 31 | | 1 | 5 | | 2 | 19 | | 3 | 25 | | 4 | 2 | | 5 | 52 | | 6 | 17 | | 7 | 16 | | 8 | 1 | | 9 | 36 | | 10 | 50 | | 11 | 9 | | 12 | 13 | | 13 | 18 | | 14 | 2 | | 15 | 43 | | 16 | 8 | | 17 | 14 | | 18 | 49 | | 19 | 13 | | 20 | 41 | | 21 | 6 | | 22 | 16 | | 23 | 2 | | 24 | 10 | | 25 | 28 | | 26 | 3 | | 27 | 22 | | 28 | 10 | | 29 | 15 | | 30 | 10 | | 31 | 19 | | 32 | 6 | | 33 | 15 | | 34 | 24 | | 35 | 4 | | 36 | 18 | | 37 | 34 | | 38 | 7 | | 39 | 38 | | 40 | 28 | | 41 | 38 | | 42 | 5 | | 43 | 20 | | 44 | 13 | | 45 | 23 | | 46 | 3 | | 47 | 4 |
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| 91.37% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 101 | | matches | | 0 | "were lined" | | 1 | "was rusted" | | 2 | "was etched" | | 3 | "been moved" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 135 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 130 | | ratio | 0 | | matches | (empty) | |
| 94.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 673 | | adjectiveStacks | 1 | | stackExamples | | 0 | "tight over sharp bone." |
| | adverbCount | 7 | | adverbRatio | 0.010401188707280832 | | lyAdverbCount | 2 | | lyAdverbRatio | 0.0029717682020802376 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 130 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 130 | | mean | 6.81 | | std | 3.53 | | cv | 0.519 | | sampleLengths | | 0 | 11 | | 1 | 11 | | 2 | 9 | | 3 | 5 | | 4 | 13 | | 5 | 6 | | 6 | 15 | | 7 | 10 | | 8 | 2 | | 9 | 9 | | 10 | 12 | | 11 | 10 | | 12 | 9 | | 13 | 4 | | 14 | 4 | | 15 | 4 | | 16 | 9 | | 17 | 8 | | 18 | 4 | | 19 | 12 | | 20 | 1 | | 21 | 7 | | 22 | 3 | | 23 | 15 | | 24 | 8 | | 25 | 3 | | 26 | 6 | | 27 | 13 | | 28 | 10 | | 29 | 12 | | 30 | 9 | | 31 | 4 | | 32 | 5 | | 33 | 6 | | 34 | 7 | | 35 | 9 | | 36 | 9 | | 37 | 2 | | 38 | 14 | | 39 | 14 | | 40 | 9 | | 41 | 1 | | 42 | 5 | | 43 | 7 | | 44 | 1 | | 45 | 6 | | 46 | 4 | | 47 | 4 | | 48 | 4 | | 49 | 14 |
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| 65.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 10 | | diversityRatio | 0.43846153846153846 | | totalSentences | 130 | | uniqueOpeners | 57 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 91 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 20 | | totalSentences | 91 | | matches | | 0 | "She ignored the groan from" | | 1 | "It was small, white, and" | | 2 | "Her knees popped." | | 3 | "She smoothed her dark coat" | | 4 | "They moved away from the" | | 5 | "His voice echoed off the" | | 6 | "It was cold now." | | 7 | "She pushed the door." | | 8 | "It groaned on its hinges," | | 9 | "He kept his hand near" | | 10 | "She stopped at a large" | | 11 | "She looked at the floor." | | 12 | "It started deep in the" | | 13 | "He raised his rifle." | | 14 | "It wore a long coat," | | 15 | "It held a staff made" | | 16 | "She fired again." | | 17 | "They scrambled toward the door." | | 18 | "She turned to face the" | | 19 | "She pulled the trigger." |
| | ratio | 0.22 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 89 | | totalSentences | 91 | | matches | | 0 | "Quinn knelt over the body," | | 1 | "The smell of stale ozone" | | 2 | "She ignored the groan from" | | 3 | "Miller shifted his weight, the" | | 4 | "Quinn pointed a gloved finger" | | 5 | "Quinn leaned closer" | | 6 | "The victim wore a heavy" | | 7 | "A small bone token lay" | | 8 | "It was small, white, and" | | 9 | "Quinn picked it up." | | 10 | "The bone felt warm." | | 11 | "Miller crouched, his breath fogging" | | 12 | "Quinn pocketed the token." | | 13 | "Quinn stood up" | | 14 | "Her knees popped." | | 15 | "She smoothed her dark coat" | | 16 | "The second hand ticked in" | | 17 | "They moved away from the" | | 18 | "The tunnel stretched ahead, a" | | 19 | "Dust motes danced in the" |
| | ratio | 0.978 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 91 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 21 | | technicalSentenceCount | 1 | | matches | | 0 | "It groaned on its hinges, a low, metallic sound that vibrated in her chest." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 2 | | fancyTags | | 0 | "Miller shouted (shout)" | | 1 | "Quinn yelled (yell)" |
| | dialogueSentences | 50 | | tagDensity | 0.1 | | leniency | 0.2 | | rawRatio | 0.4 | | effectiveRatio | 0.08 | |