| 90.91% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 18 | | adverbTagCount | 3 | | adverbTags | | 0 | "she said simply [simply]" | | 1 | "she finally asked [finally]" | | 2 | "she admitted reluctantly [reluctantly]" |
| | dialogueSentences | 55 | | tagDensity | 0.327 | | leniency | 0.655 | | rawRatio | 0.167 | | effectiveRatio | 0.109 | |
| 74.57% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 983 | | totalAiIsmAdverbs | 5 | | found | | 0 | | | 1 | | | 2 | | adverb | "reluctantly" | | count | 1 |
| | 3 | | adverb | "barely above a whisper" | | count | 1 |
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| | highlights | | 0 | "softly" | | 1 | "slightly" | | 2 | "reluctantly" | | 3 | "barely above a whisper" |
| |
| 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) | |
| 8.44% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 983 | | totalAiIsms | 18 | | found | | | highlights | | 0 | "familiar" | | 1 | "traced" | | 2 | "footsteps" | | 3 | "charm" | | 4 | "intensity" | | 5 | "eyebrow" | | 6 | "silence" | | 7 | "racing" | | 8 | "echoed" | | 9 | "unreadable" | | 10 | "etched" | | 11 | "whisper" | | 12 | "echoing" | | 13 | "pounding" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "clenched jaw/fists" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 76 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 76 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 112 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 28 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 980 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 11 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 8 | | wordCount | 735 | | uniqueNames | 4 | | maxNameDensity | 0.41 | | worstName | "Rory" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Silas" | | discoveredNames | | | persons | | | places | (empty) | | globalScore | 1 | | windowScore | 1 | |
| 100.00% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 60 | | 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 | 980 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 112 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 60 | | mean | 16.33 | | std | 14.01 | | cv | 0.858 | | sampleLengths | | 0 | 77 | | 1 | 54 | | 2 | 30 | | 3 | 1 | | 4 | 23 | | 5 | 1 | | 6 | 49 | | 7 | 4 | | 8 | 23 | | 9 | 16 | | 10 | 17 | | 11 | 13 | | 12 | 18 | | 13 | 18 | | 14 | 7 | | 15 | 13 | | 16 | 15 | | 17 | 11 | | 18 | 37 | | 19 | 13 | | 20 | 22 | | 21 | 18 | | 22 | 16 | | 23 | 4 | | 24 | 7 | | 25 | 30 | | 26 | 10 | | 27 | 1 | | 28 | 2 | | 29 | 11 | | 30 | 11 | | 31 | 35 | | 32 | 12 | | 33 | 13 | | 34 | 5 | | 35 | 10 | | 36 | 15 | | 37 | 12 | | 38 | 1 | | 39 | 1 | | 40 | 39 | | 41 | 10 | | 42 | 14 | | 43 | 9 | | 44 | 15 | | 45 | 15 | | 46 | 43 | | 47 | 11 | | 48 | 10 | | 49 | 10 |
| |
| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 1 | | totalSentences | 76 | | matches | | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 140 | | matches | (empty) | |
| 100.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 2 | | semicolonCount | 0 | | flaggedSentences | 1 | | totalSentences | 112 | | ratio | 0.009 | | matches | | 0 | "But his eyes—those icy blue eyes—still bore the same intensity." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 738 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 26 | | adverbRatio | 0.03523035230352303 | | lyAdverbCount | 13 | | lyAdverbRatio | 0.017615176151761516 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 112 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 112 | | mean | 8.75 | | std | 5.23 | | cv | 0.598 | | sampleLengths | | 0 | 14 | | 1 | 21 | | 2 | 15 | | 3 | 15 | | 4 | 12 | | 5 | 16 | | 6 | 21 | | 7 | 7 | | 8 | 10 | | 9 | 13 | | 10 | 14 | | 11 | 3 | | 12 | 1 | | 13 | 2 | | 14 | 15 | | 15 | 6 | | 16 | 1 | | 17 | 3 | | 18 | 10 | | 19 | 18 | | 20 | 10 | | 21 | 8 | | 22 | 4 | | 23 | 9 | | 24 | 14 | | 25 | 16 | | 26 | 17 | | 27 | 5 | | 28 | 8 | | 29 | 15 | | 30 | 3 | | 31 | 13 | | 32 | 5 | | 33 | 7 | | 34 | 4 | | 35 | 9 | | 36 | 15 | | 37 | 10 | | 38 | 1 | | 39 | 7 | | 40 | 13 | | 41 | 17 | | 42 | 13 | | 43 | 8 | | 44 | 14 | | 45 | 10 | | 46 | 8 | | 47 | 3 | | 48 | 13 | | 49 | 4 |
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| 57.44% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 9 | | diversityRatio | 0.39285714285714285 | | totalSentences | 112 | | uniqueOpeners | 44 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 50 | | totalSentences | 75 | | matches | | 0 | "He glanced up, nodded, and" | | 1 | "She slid onto a stool" | | 2 | "She raised it to her" | | 3 | "Her chest tightened." | | 4 | "She hadn’t heard it in" | | 5 | "She turned, her blue eyes" | | 6 | "He looked different." | | 7 | "His blond hair, once unruly," | | 8 | "He smiled, but it didn’t" | | 9 | "She hesitated, then gestured to" | | 10 | "She took another sip of" | | 11 | "He chuckled, low and rough." | | 12 | "she repeated, rolling the words" | | 13 | "He leaned forward, resting his" | | 14 | "she said simply, avoiding his" | | 15 | "His eyebrow arched" | | 16 | "she countered, her tone sharper" | | 17 | "He winced, just slightly, but" | | 18 | "she finally asked, her voice" | | 19 | "He hesitated, swirling the whiskey" |
| | ratio | 0.667 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 70 | | totalSentences | 75 | | matches | | 0 | "The green neon sign buzzed" | | 1 | "Rory pushed open the heavy" | | 2 | "The bar was quiet tonight," | | 3 | "Silas stood behind the counter," | | 4 | "He glanced up, nodded, and" | | 5 | "She slid onto a stool" | | 6 | "The dim light caught the" | | 7 | "Silas poured her a whiskey" | | 8 | "She raised it to her" | | 9 | "The door creaked open again," | | 10 | "Rory didn’t bother to look" | | 11 | "Her chest tightened." | | 12 | "She hadn’t heard it in" | | 13 | "She turned, her blue eyes" | | 14 | "He looked different." | | 15 | "The boyish charm she remembered" | | 16 | "His blond hair, once unruly," | | 17 | "He smiled, but it didn’t" | | 18 | "She hesitated, then gestured to" | | 19 | "Silas slid him a whiskey" |
| | ratio | 0.933 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 75 | | matches | (empty) | | ratio | 0 | |
| 100.00% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 34 | | technicalSentenceCount | 1 | | matches | | 0 | "Silas stood behind the counter, polishing glasses with a cloth that had seen better days." |
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| 0.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 18 | | uselessAdditionCount | 11 | | matches | | 0 | "She took, her voice steady" | | 1 | "she countered, her tone sharper than she intended" | | 2 | "she finally asked, her voice quiet but firm" | | 3 | "she echoed, bitterness creeping into her tone" | | 4 | "she asked, her voice barely above a whisper" | | 5 | "he said, his voice rough" | | 6 | "She slammed, the sound echoing through the bar" | | 7 | "he said, his voice raw" | | 8 | "she asked, her voice trembling" | | 9 | "She grabbed, her hands trembling" | | 10 | "he said, his voice softer now" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 10 | | fancyCount | 2 | | fancyTags | | 0 | "she repeated (repeat)" | | 1 | "she admitted reluctantly (admit)" |
| | dialogueSentences | 55 | | tagDensity | 0.182 | | leniency | 0.364 | | rawRatio | 0.2 | | effectiveRatio | 0.073 | |