| 100.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 2 | | adverbTags | | 0 | "He stopped abruptly [abruptly]" | | 1 | "he asked suddenly [suddenly]" |
| | dialogueSentences | 40 | | tagDensity | 0.35 | | leniency | 0.7 | | rawRatio | 0.143 | | effectiveRatio | 0.1 | |
| 81.18% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 797 | | totalAiIsmAdverbs | 3 | | found | | | highlights | | 0 | "softly" | | 1 | "slowly" | | 2 | "suddenly" |
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| 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) | |
| 49.81% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 797 | | totalAiIsms | 8 | | found | | | highlights | | 0 | "tracing" | | 1 | "familiar" | | 2 | "unreadable" | | 3 | "eyebrow" | | 4 | "flickered" | | 5 | "silence" | | 6 | "glinting" |
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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 | 75 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 75 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 101 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | maxSentenceWordsSeen | 30 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 1 | | markdownWords | 2 | | totalWords | 790 | | ratio | 0.003 | | matches | | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 8 | | unquotedAttributions | 0 | | matches | (empty) | |
| 33.33% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 35 | | wordCount | 644 | | uniqueNames | 11 | | maxNameDensity | 2.02 | | worstName | "Evan" | | maxWindowNameDensity | 4 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 1 | | Nest | 1 | | Silas | 5 | | Guinness | 1 | | Thursday | 1 | | London | 1 | | Rory | 9 | | Evan | 13 | | Old | 1 | | Security | 1 | | Operations | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Silas" | | 3 | "Rory" | | 4 | "Evan" | | 5 | "Old" |
| | places | | | globalScore | 0.491 | | windowScore | 0.333 | |
| 97.92% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 48 | | 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 | 790 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 0 | | totalSentences | 101 | | matches | (empty) | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 50 | | mean | 15.8 | | std | 12.44 | | cv | 0.787 | | sampleLengths | | 0 | 51 | | 1 | 41 | | 2 | 35 | | 3 | 3 | | 4 | 21 | | 5 | 58 | | 6 | 13 | | 7 | 34 | | 8 | 14 | | 9 | 18 | | 10 | 19 | | 11 | 10 | | 12 | 3 | | 13 | 5 | | 14 | 31 | | 15 | 30 | | 16 | 8 | | 17 | 15 | | 18 | 10 | | 19 | 7 | | 20 | 3 | | 21 | 4 | | 22 | 11 | | 23 | 2 | | 24 | 15 | | 25 | 35 | | 26 | 17 | | 27 | 3 | | 28 | 14 | | 29 | 11 | | 30 | 6 | | 31 | 8 | | 32 | 4 | | 33 | 27 | | 34 | 13 | | 35 | 16 | | 36 | 11 | | 37 | 12 | | 38 | 7 | | 39 | 1 | | 40 | 27 | | 41 | 12 | | 42 | 15 | | 43 | 9 | | 44 | 18 | | 45 | 11 | | 46 | 13 | | 47 | 13 | | 48 | 22 | | 49 | 4 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 75 | | matches | (empty) | |
| 88.89% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 120 | | matches | | 0 | "was pretending" | | 1 | "was looking" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 6 | | totalSentences | 101 | | ratio | 0.059 | | matches | | 0 | "The bar was quiet for a Thursday—just a few regulars nursing their drinks and an old jazz record spinning softly in the corner." | | 1 | "A draft curled through the room, carrying with it the damp London air and something else—a familiar citrus cologne that made Rory's shoulders tense before she even turned around." | | 2 | "He'd filled out since university—his shoulders broader, his jaw sharper." | | 3 | "Silas appeared with her drink—a whiskey neat—and raised an eyebrow at Evan." | | 4 | "\"A statement.\" She studied him—the new scar above his eyebrow, the way his left pinky twitched against his glass." | | 5 | "Rory watched the way Evan's jaw worked, the way his shoulders tensed—then relaxed into obedience." |
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| 100.00% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 651 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 22 | | adverbRatio | 0.03379416282642089 | | lyAdverbCount | 8 | | lyAdverbRatio | 0.01228878648233487 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 101 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 101 | | mean | 7.82 | | std | 5.71 | | cv | 0.73 | | sampleLengths | | 0 | 10 | | 1 | 25 | | 2 | 16 | | 3 | 18 | | 4 | 23 | | 5 | 6 | | 6 | 29 | | 7 | 3 | | 8 | 2 | | 9 | 10 | | 10 | 9 | | 11 | 13 | | 12 | 10 | | 13 | 9 | | 14 | 11 | | 15 | 15 | | 16 | 13 | | 17 | 8 | | 18 | 22 | | 19 | 4 | | 20 | 12 | | 21 | 2 | | 22 | 7 | | 23 | 4 | | 24 | 7 | | 25 | 10 | | 26 | 9 | | 27 | 7 | | 28 | 3 | | 29 | 3 | | 30 | 2 | | 31 | 3 | | 32 | 19 | | 33 | 6 | | 34 | 6 | | 35 | 22 | | 36 | 8 | | 37 | 8 | | 38 | 5 | | 39 | 10 | | 40 | 5 | | 41 | 5 | | 42 | 3 | | 43 | 4 | | 44 | 3 | | 45 | 4 | | 46 | 6 | | 47 | 5 | | 48 | 2 | | 49 | 10 |
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| 62.38% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 7 | | diversityRatio | 0.4158415841584158 | | totalSentences | 101 | | uniqueOpeners | 42 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 71.43% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 26 | | totalSentences | 70 | | matches | | 0 | "She'd come straight from her" | | 1 | "She turned slowly, her fingers" | | 2 | "He'd filled out since university—his" | | 3 | "she said, forcing her voice" | | 4 | "He laughed, but it didn't" | | 5 | "He slid onto the stool" | | 6 | "She didn't move away." | | 7 | "He tapped the bar." | | 8 | "He limped toward the premium" | | 9 | "She studied him—the new scar" | | 10 | "He nodded toward the back" | | 11 | "He stopped abruptly" | | 12 | "she finished for him" | | 13 | "Her throat tightened." | | 14 | "He had the decency to" | | 15 | "His fingers twitched toward hers" | | 16 | "She rubbed her scar absently." | | 17 | "he asked suddenly" | | 18 | "She stared at him." | | 19 | "He swirled his drink, watching" |
| | ratio | 0.371 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 65 | | totalSentences | 70 | | matches | | 0 | "The Raven's Nest smelled of" | | 1 | "Rory leaned against the bar," | | 2 | "The green neon glow from" | | 3 | "She'd come straight from her" | | 4 | "The bar was quiet for" | | 5 | "The door creaked open behind" | | 6 | "A draft curled through the" | | 7 | "She turned slowly, her fingers" | | 8 | "Evan stood three feet away," | | 9 | "He'd filled out since university—his" | | 10 | "The boy she'd known had" | | 11 | "The man before her now" | | 12 | "she said, forcing her voice" | | 13 | "He laughed, but it didn't" | | 14 | "He slid onto the stool" | | 15 | "She didn't move away." | | 16 | "Silas appeared with her drink—a" | | 17 | "Evan said before she could" | | 18 | "He tapped the bar." | | 19 | "Silas's gaze flickered to Rory," |
| | ratio | 0.929 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 70 | | matches | (empty) | | ratio | 0 | |
| 77.92% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 2 | | matches | | 0 | "A draft curled through the room, carrying with it the damp London air and something else—a familiar citrus cologne that made Rory's shoulders tense before she e…" | | 1 | "Silas's gaze flickered to Rory, who gave the barest nod." |
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| 100.00% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 0 | | matches | (empty) | |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 5 | | fancyCount | 0 | | fancyTags | (empty) | | dialogueSentences | 40 | | tagDensity | 0.125 | | leniency | 0.25 | | rawRatio | 0 | | effectiveRatio | 0 | |