| 40.00% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 14 | | adverbTagCount | 4 | | adverbTags | | 0 | "Her fingers tightened around [around]" | | 1 | "She knocked back [back]" | | 2 | "Evan asked finally [finally]" | | 3 | "She stood abruptly [abruptly]" |
| | dialogueSentences | 50 | | tagDensity | 0.28 | | leniency | 0.56 | | rawRatio | 0.286 | | effectiveRatio | 0.16 | |
| 74.84% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 795 | | totalAiIsmAdverbs | 4 | | found | | | highlights | | 0 | "slowly" | | 1 | "sharply" | | 2 | "really" |
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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) | |
| 37.11% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 795 | | totalAiIsms | 10 | | found | | | highlights | | 0 | "warmth" | | 1 | "eyebrow" | | 2 | "stomach" | | 3 | "traced" | | 4 | "silence" | | 5 | "flickered" | | 6 | "tracing" | | 7 | "weight" |
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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 | 67 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 1 | | narrationSentences | 67 | | filterMatches | (empty) | | hedgeMatches | | |
| 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 | 26 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 784 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 4 | | unquotedAttributions | 0 | | matches | (empty) | |
| 100.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 9 | | wordCount | 613 | | uniqueNames | 5 | | maxNameDensity | 0.82 | | worstName | "Evan" | | maxWindowNameDensity | 1.5 | | worstWindowName | "Evan" | | discoveredNames | | Raven | 1 | | Nest | 1 | | London | 1 | | Evan | 5 | | Brendan | 1 |
| | persons | | 0 | "Raven" | | 1 | "Nest" | | 2 | "Evan" | | 3 | "Brendan" |
| | places | | | globalScore | 1 | | windowScore | 1 | |
| 87.50% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 40 | | 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 | 784 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 101 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 47 | | mean | 16.68 | | std | 13.44 | | cv | 0.805 | | sampleLengths | | 0 | 72 | | 1 | 23 | | 2 | 1 | | 3 | 38 | | 4 | 55 | | 5 | 11 | | 6 | 15 | | 7 | 10 | | 8 | 32 | | 9 | 27 | | 10 | 19 | | 11 | 8 | | 12 | 19 | | 13 | 10 | | 14 | 2 | | 15 | 19 | | 16 | 16 | | 17 | 32 | | 18 | 9 | | 19 | 8 | | 20 | 7 | | 21 | 23 | | 22 | 27 | | 23 | 5 | | 24 | 7 | | 25 | 2 | | 26 | 8 | | 27 | 20 | | 28 | 9 | | 29 | 18 | | 30 | 21 | | 31 | 14 | | 32 | 1 | | 33 | 12 | | 34 | 12 | | 35 | 27 | | 36 | 8 | | 37 | 13 | | 38 | 30 | | 39 | 8 | | 40 | 12 | | 41 | 24 | | 42 | 5 | | 43 | 20 | | 44 | 3 | | 45 | 12 | | 46 | 10 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 67 | | matches | (empty) | |
| 85.06% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 2 | | totalVerbs | 116 | | matches | | 0 | "was sleeping" | | 1 | "was memorizing" |
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| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 10 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 101 | | ratio | 0.069 | | matches | | 0 | "The bartender nodded at her—she was a regular—and set down a glass of bourbon without asking." | | 1 | "The sound of her name in that particular tone—half disbelief, half something softer—made her spine stiffen." | | 2 | "But his eyes—those hadn’t changed." | | 3 | "“Depends.” His drink arrived—whiskey neat, same as always—and he took a slow sip." | | 4 | "The funeral had been three months ago—closed casket, just like Brendan would’ve wanted." | | 5 | "His mouth twitched—almost a smile, but not quite." | | 6 | "The weight of everything unsaid pressed between them—the fights, the apologies never given, the way he’d walked out without looking back." |
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| 97.14% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 624 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 27 | | adverbRatio | 0.04326923076923077 | | lyAdverbCount | 7 | | lyAdverbRatio | 0.011217948717948718 | |
| 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 | 7.76 | | std | 6.15 | | cv | 0.792 | | sampleLengths | | 0 | 26 | | 1 | 18 | | 2 | 16 | | 3 | 12 | | 4 | 14 | | 5 | 9 | | 6 | 1 | | 7 | 16 | | 8 | 4 | | 9 | 15 | | 10 | 3 | | 11 | 11 | | 12 | 25 | | 13 | 5 | | 14 | 14 | | 15 | 9 | | 16 | 2 | | 17 | 13 | | 18 | 2 | | 19 | 5 | | 20 | 5 | | 21 | 11 | | 22 | 14 | | 23 | 7 | | 24 | 22 | | 25 | 5 | | 26 | 13 | | 27 | 6 | | 28 | 5 | | 29 | 3 | | 30 | 11 | | 31 | 8 | | 32 | 7 | | 33 | 3 | | 34 | 2 | | 35 | 17 | | 36 | 2 | | 37 | 3 | | 38 | 10 | | 39 | 3 | | 40 | 25 | | 41 | 7 | | 42 | 2 | | 43 | 7 | | 44 | 3 | | 45 | 4 | | 46 | 1 | | 47 | 4 | | 48 | 3 | | 49 | 3 |
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| 69.64% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 3 | | diversityRatio | 0.43564356435643564 | | totalSentences | 101 | | uniqueOpeners | 44 | |
| 100.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 3 | | totalSentences | 61 | | matches | | 0 | "Slowly, she turned." | | 1 | "Just watched as she dug" | | 2 | "Then she pushed through, stepping" |
| | ratio | 0.049 | |
| 0.00% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 37 | | totalSentences | 61 | | matches | | 0 | "She wrapped her fingers around" | | 1 | "She didn’t turn, not until" | | 2 | "She knew that voice." | | 3 | "His hair was longer than" | | 4 | "she muttered, lifting the bourbon" | | 5 | "He hesitated before stepping closer," | | 6 | "She arched a brow" | | 7 | "He slid onto the stool" | | 8 | "She traced the crescent scar" | | 9 | "His drink arrived—whiskey neat, same" | | 10 | "She shot him a look." | | 11 | "He rubbed his thumb along" | | 12 | "Her fingers tightened around her" | | 13 | "Her voice was low, edged" | | 14 | "He stared down at his" | | 15 | "She knocked back the rest" | | 16 | "Her breath caught." | | 17 | "She hadn’t expected that." | | 18 | "His thumb stilled" | | 19 | "She swallowed hard." |
| | ratio | 0.607 | |
| 17.38% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 54 | | totalSentences | 61 | | matches | | 0 | "The Raven’s Nest smelled of" | | 1 | "Aurora wiped her hands on" | | 2 | "The bartender nodded at her—she" | | 3 | "She wrapped her fingers around" | | 4 | "The door creaked open behind" | | 5 | "She didn’t turn, not until" | | 6 | "The sound of her name" | | 7 | "She knew that voice." | | 8 | "Evan stood there, rain dripping" | | 9 | "His hair was longer than" | | 10 | "she muttered, lifting the bourbon" | | 11 | "He hesitated before stepping closer," | | 12 | "She arched a brow" | | 13 | "Evan exhaled sharply through his" | | 14 | "He slid onto the stool" | | 15 | "She traced the crescent scar" | | 16 | "His drink arrived—whiskey neat, same" | | 17 | "She shot him a look." | | 18 | "He rubbed his thumb along" | | 19 | "Her fingers tightened around her" |
| | ratio | 0.885 | |
| 0.00% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 0 | | totalSentences | 61 | | matches | (empty) | | ratio | 0 | |
| 12.99% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 22 | | technicalSentenceCount | 4 | | matches | | 0 | "Still that same piercing blue, the kind that used to make her stomach flip." | | 1 | "He hesitated before stepping closer, his boots leaving damp prints on the floor." | | 2 | "Evan exhaled sharply through his nose, as if she’d punched him." | | 3 | "He studied her for a long moment, his gaze tracing the lines of her face like he was memorizing her all over again." |
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| 89.29% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 14 | | uselessAdditionCount | 1 | | matches | | 0 | "She stood abruptly, the stool scraping against the floor" |
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| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 3 | | fancyCount | 1 | | fancyTags | | | dialogueSentences | 50 | | tagDensity | 0.06 | | leniency | 0.12 | | rawRatio | 0.333 | | effectiveRatio | 0.04 | |