| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 63 | | adverbTagCount | 0 | | adverbTags | (empty) | | dialogueSentences | 89 | | tagDensity | 0.708 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |
| 94.01% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1669 | | totalAiIsmAdverbs | 2 | | found | | | highlights | | |
| 100.00% | AI-ism character names | Target: 0 AI-default names (16 tracked, −20% each) | | codexExemptions | | | found | (empty) | |
| 100.00% | AI-ism location names | Target: 0 AI-default location names (33 tracked, −20% each) | | codexExemptions | (empty) | | found | (empty) | |
| 82.03% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1669 | | totalAiIsms | 6 | | found | | | highlights | | 0 | "silence" | | 1 | "trembled" | | 2 | "echoed" |
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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 | 248 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 248 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 273 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 18 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1669 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 65 | | unquotedAttributions | 0 | | matches | (empty) | |
| 0.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 51 | | wordCount | 1261 | | uniqueNames | 2 | | maxNameDensity | 2.14 | | worstName | "Silas" | | maxWindowNameDensity | 5.5 | | worstWindowName | "Aurora" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 0.429 | | windowScore | 0 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 78 | | 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 | 1669 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 273 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 107 | | mean | 15.6 | | std | 12.77 | | cv | 0.819 | | sampleLengths | | 0 | 64 | | 1 | 21 | | 2 | 1 | | 3 | 26 | | 4 | 8 | | 5 | 49 | | 6 | 9 | | 7 | 13 | | 8 | 37 | | 9 | 32 | | 10 | 4 | | 11 | 41 | | 12 | 22 | | 13 | 9 | | 14 | 6 | | 15 | 16 | | 16 | 25 | | 17 | 7 | | 18 | 14 | | 19 | 19 | | 20 | 6 | | 21 | 3 | | 22 | 23 | | 23 | 8 | | 24 | 10 | | 25 | 7 | | 26 | 45 | | 27 | 7 | | 28 | 17 | | 29 | 20 | | 30 | 16 | | 31 | 5 | | 32 | 20 | | 33 | 9 | | 34 | 16 | | 35 | 9 | | 36 | 15 | | 37 | 11 | | 38 | 10 | | 39 | 14 | | 40 | 3 | | 41 | 6 | | 42 | 20 | | 43 | 9 | | 44 | 6 | | 45 | 24 | | 46 | 7 | | 47 | 36 | | 48 | 9 | | 49 | 13 |
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| 99.60% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 4 | | totalSentences | 248 | | matches | | 0 | "was pulled" | | 1 | "was hidden" | | 2 | "was pulled" | | 3 | "was hidden" |
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| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 276 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 0 | | semicolonCount | 0 | | flaggedSentences | 0 | | totalSentences | 273 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 1269 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 15 | | adverbRatio | 0.01182033096926714 | | lyAdverbCount | 3 | | lyAdverbRatio | 0.002364066193853428 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 273 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 273 | | mean | 6.11 | | std | 2.74 | | cv | 0.448 | | sampleLengths | | 0 | 13 | | 1 | 15 | | 2 | 9 | | 3 | 10 | | 4 | 17 | | 5 | 8 | | 6 | 5 | | 7 | 8 | | 8 | 1 | | 9 | 2 | | 10 | 7 | | 11 | 5 | | 12 | 5 | | 13 | 7 | | 14 | 5 | | 15 | 3 | | 16 | 9 | | 17 | 7 | | 18 | 14 | | 19 | 11 | | 20 | 8 | | 21 | 4 | | 22 | 4 | | 23 | 1 | | 24 | 4 | | 25 | 3 | | 26 | 6 | | 27 | 5 | | 28 | 6 | | 29 | 9 | | 30 | 10 | | 31 | 7 | | 32 | 4 | | 33 | 9 | | 34 | 10 | | 35 | 9 | | 36 | 4 | | 37 | 5 | | 38 | 5 | | 39 | 3 | | 40 | 5 | | 41 | 12 | | 42 | 7 | | 43 | 4 | | 44 | 8 | | 45 | 9 | | 46 | 5 | | 47 | 4 | | 48 | 5 | | 49 | 3 |
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| 25.00% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 81 | | diversityRatio | 0.08791208791208792 | | totalSentences | 273 | | uniqueOpeners | 24 | |
| 55.56% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 180 | | matches | | 0 | "Dark-stained wooden tables lined the" | | 1 | "Just a little." | | 2 | "Dark-stained wooden tables lined the" |
| | ratio | 0.017 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 132 | | totalSentences | 180 | | matches | | 0 | "She was twenty-five, but the" | | 1 | "She had not entered this" | | 2 | "She should have known better." | | 3 | "Her hand hovered near her" | | 4 | "She needed to be careful." | | 5 | "She needed to stay invisible." | | 6 | "She turned slowly toward the" | | 7 | "He looked different." | | 8 | "His jaw was sharper than" | | 9 | "He wore a ring, silver" | | 10 | "He stared at her, and" | | 11 | "He poured a drink." | | 12 | "He poured another." | | 13 | "He put them on the" | | 14 | "She did not touch the" | | 15 | "Her eyes looked over the" | | 16 | "He lifted the glass and" | | 17 | "His eyes remained locked on" | | 18 | "She did not drink yet." | | 19 | "She watched him." |
| | ratio | 0.733 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 177 | | totalSentences | 180 | | matches | | 0 | "The green neon sign buzzed" | | 1 | "Ashes drifted from the ashtrays" | | 2 | "Aurora stepped out of the" | | 3 | "She was twenty-five, but the" | | 4 | "She had not entered this" | | 5 | "She should have known better." | | 6 | "The door creaked as she" | | 7 | "Her hand hovered near her" | | 8 | "She needed to be careful." | | 9 | "She needed to stay invisible." | | 10 | "She turned slowly toward the" | | 11 | "Silas stood behind the bar." | | 12 | "He looked different." | | 13 | "His jaw was sharper than" | | 14 | "The apron hung low over" | | 15 | "He wore a ring, silver" | | 16 | "The grey-streaked auburn hair was" | | 17 | "He stared at her, and" | | 18 | "The voice was deeper." | | 19 | "He poured a drink." |
| | ratio | 0.983 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 180 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 18 | | technicalSentenceCount | 0 | | matches | (empty) | |
| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 63 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 63 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 89 | | tagDensity | 0.708 | | leniency | 1 | | rawRatio | 0 | | effectiveRatio | 0 | |