| 92.86% | Adverbs in dialogue tags | Target: ≤10% dialogue tags with adverbs | | totalTags | 21 | | adverbTagCount | 3 | | adverbTags | | 0 | "Silas laughed softly [softly]" | | 1 | "she said quietly [quietly]" | | 2 | "she said finally [finally]" |
| | dialogueSentences | 56 | | tagDensity | 0.375 | | leniency | 0.75 | | rawRatio | 0.143 | | effectiveRatio | 0.107 | |
| 45.14% | AI-ism adverb frequency | Target: <2% AI-ism adverbs (58 tracked) | | wordCount | 1276 | | totalAiIsmAdverbs | 14 | | found | | 0 | | | 1 | | | 2 | | | 3 | | | 4 | | | 5 | | adverb | "barely above a whisper" | | count | 1 |
| | 6 | | | 7 | |
| | highlights | | 0 | "suddenly" | | 1 | "slowly" | | 2 | "completely" | | 3 | "softly" | | 4 | "carefully" | | 5 | "barely above a whisper" | | 6 | "really" | | 7 | "truly" |
| |
| 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) | |
| 25.55% | AI-ism word frequency | Target: <2% AI-ism words (290 tracked) | | wordCount | 1276 | | totalAiIsms | 19 | | found | | | highlights | | 0 | "sanctuary" | | 1 | "crystal" | | 2 | "familiar" | | 3 | "scanned" | | 4 | "tracing" | | 5 | "warmth" | | 6 | "intensity" | | 7 | "aftermath" | | 8 | "flicker" | | 9 | "stomach" | | 10 | "whisper" | | 11 | "weight" | | 12 | "footsteps" |
| |
| 100.00% | Cliché density | Target: ≤1 cliche(s) per 800-word window | | totalCliches | 1 | | maxInWindow | 1 | | found | | 0 | | label | "hung in the air" | | count | 1 |
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| | highlights | | |
| 100.00% | Emotion telling (show vs. tell) | Target: ≤3% sentences with emotion telling | | emotionTells | 0 | | narrationSentences | 60 | | matches | (empty) | |
| 100.00% | Filter word density | Target: ≤3% sentences with filter/hedge words | | filterCount | 0 | | hedgeCount | 0 | | narrationSentences | 60 | | filterMatches | (empty) | | hedgeMatches | (empty) | |
| 100.00% | Gibberish response detection | Target: ≤1% gibberish-like sentences (hard fail if a sentence exceeds 800 words) | | analyzedSentences | 93 | | gibberishSentences | 0 | | adjustedGibberishSentences | 0 | | longSentenceCount | 0 | | runOnParagraphCount | 0 | | giantParagraphCount | 0 | | wordSaladCount | 0 | | repetitionLoopCount | 0 | | controlTokenCount | 0 | | repeatedSegmentCount | 0 | | maxSentenceWordsSeen | 37 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Markdown formatting overuse | Target: ≤5% words in markdown formatting | | markdownSpans | 0 | | markdownWords | 0 | | totalWords | 1267 | | ratio | 0 | | matches | (empty) | |
| 100.00% | Missing dialogue indicators (quotation marks) | Target: ≤10% speech attributions without quotation marks | | totalAttributions | 18 | | unquotedAttributions | 0 | | matches | (empty) | |
| 50.00% | Name drop frequency | Target: ≤1.0 per-name mentions per 100 words | | totalMentions | 38 | | wordCount | 849 | | uniqueNames | 10 | | maxNameDensity | 1.53 | | worstName | "Aurora" | | maxWindowNameDensity | 3.5 | | worstWindowName | "Silas" | | discoveredNames | | Carter | 1 | | Raven | 2 | | Nest | 2 | | Aurora | 13 | | Soho | 2 | | Silas | 13 | | Rory | 1 | | Evan | 1 | | Budapest | 1 | | London | 2 |
| | persons | | 0 | "Carter" | | 1 | "Raven" | | 2 | "Aurora" | | 3 | "Silas" | | 4 | "Rory" | | 5 | "Evan" |
| | places | | 0 | "Soho" | | 1 | "Budapest" | | 2 | "London" |
| | globalScore | 0.734 | | windowScore | 0.5 | |
| 98.98% | Narrator intent-glossing | Target: ≤2% narration sentences with intent-glossing patterns | | analyzedSentences | 49 | | glossingSentenceCount | 1 | | matches | | 0 | "seemed more silver than auburn now, yet carried the same neat precision" |
| |
| 100.00% | "Not X but Y" pattern overuse | Target: ≤1 "not X but Y" per 1000 words | | totalMatches | 0 | | per1kWords | 0 | | wordCount | 1267 | | matches | (empty) | |
| 100.00% | Overuse of "that" (subordinate clause padding) | Target: ≤2% sentences with "that" clauses | | thatCount | 1 | | totalSentences | 93 | | matches | | |
| 100.00% | Paragraph length variance | Target: CV ≥0.5 for paragraph word counts | | totalParagraphs | 51 | | mean | 24.84 | | std | 13.98 | | cv | 0.563 | | sampleLengths | | 0 | 75 | | 1 | 34 | | 2 | 3 | | 3 | 38 | | 4 | 11 | | 5 | 52 | | 6 | 18 | | 7 | 3 | | 8 | 28 | | 9 | 29 | | 10 | 23 | | 11 | 21 | | 12 | 43 | | 13 | 35 | | 14 | 22 | | 15 | 25 | | 16 | 24 | | 17 | 31 | | 18 | 8 | | 19 | 19 | | 20 | 34 | | 21 | 7 | | 22 | 23 | | 23 | 12 | | 24 | 17 | | 25 | 8 | | 26 | 25 | | 27 | 12 | | 28 | 36 | | 29 | 18 | | 30 | 11 | | 31 | 46 | | 32 | 37 | | 33 | 26 | | 34 | 20 | | 35 | 11 | | 36 | 51 | | 37 | 24 | | 38 | 28 | | 39 | 24 | | 40 | 22 | | 41 | 11 | | 42 | 9 | | 43 | 42 | | 44 | 13 | | 45 | 18 | | 46 | 28 | | 47 | 24 | | 48 | 19 | | 49 | 22 |
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| 100.00% | Passive voice overuse | Target: ≤2% passive sentences | | passiveCount | 0 | | totalSentences | 60 | | matches | (empty) | |
| 100.00% | Past progressive (was/were + -ing) overuse | Target: ≤2% past progressive verbs | | pastProgressiveCount | 0 | | totalVerbs | 153 | | matches | (empty) | |
| 0.00% | Em-dash & semicolon overuse | Target: ≤2% sentences with em-dashes/semicolons | | emDashCount | 7 | | semicolonCount | 0 | | flaggedSentences | 7 | | totalSentences | 93 | | ratio | 0.075 | | matches | | 0 | "She let the familiar odor of aged whiskey, warm leather, and something vaguely licorice wash over her—a scent she hadn't realized she'd missed until it enveloped her." | | 1 | "As she settled onto a worn mahogany stool, her eyes scanned the room, landing immediately on the old maps and black-and-white photographs that adorned the walls—no doubt part of the bar's studied vintage aesthetic." | | 2 | "\"You don't say,\" Silas countered, limping around the bar to pour her drink himself—neat vodka, two ice cubes, just like she used to drink it." | | 3 | "Aurora glanced around the bar, taking in the old photographs again—so carefully arranged, each one telling a story she might never know completely." | | 4 | "\"Need I know?\" Silas leaned against the bar, his posture relaxed but alert—the same demeanor she'd witnessed countless times back in the day." | | 5 | "Silas sighed, his gaze drifting to one of the photographs—a young man in a trench coat, dashing and foreign-looking." | | 6 | "When he looked at her again, she saw it—a flicker of something he'd kept hidden these past two decades." |
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| 80.46% | Purple prose (modifier overload) | Target: <4% adverbs, <2% -ly adverbs, no adj stacking | | wordCount | 859 | | adjectiveStacks | 0 | | stackExamples | (empty) | | adverbCount | 48 | | adverbRatio | 0.05587892898719441 | | lyAdverbCount | 23 | | lyAdverbRatio | 0.02677532013969732 | |
| 100.00% | Repeated phrase echo | Target: ≤20% sentences with echoes (window: 2) | | totalSentences | 93 | | echoCount | 0 | | echoWords | (empty) | |
| 100.00% | Sentence length variance | Target: CV ≥0.4 for sentence word counts | | totalSentences | 93 | | mean | 13.62 | | std | 7.74 | | cv | 0.568 | | sampleLengths | | 0 | 29 | | 1 | 19 | | 2 | 27 | | 3 | 34 | | 4 | 3 | | 5 | 13 | | 6 | 25 | | 7 | 11 | | 8 | 14 | | 9 | 26 | | 10 | 12 | | 11 | 15 | | 12 | 3 | | 13 | 3 | | 14 | 24 | | 15 | 4 | | 16 | 17 | | 17 | 12 | | 18 | 23 | | 19 | 21 | | 20 | 25 | | 21 | 18 | | 22 | 14 | | 23 | 21 | | 24 | 14 | | 25 | 8 | | 26 | 5 | | 27 | 20 | | 28 | 11 | | 29 | 13 | | 30 | 20 | | 31 | 11 | | 32 | 2 | | 33 | 6 | | 34 | 12 | | 35 | 7 | | 36 | 23 | | 37 | 11 | | 38 | 5 | | 39 | 2 | | 40 | 23 | | 41 | 4 | | 42 | 8 | | 43 | 11 | | 44 | 6 | | 45 | 8 | | 46 | 19 | | 47 | 6 | | 48 | 6 | | 49 | 6 |
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| 63.80% | Sentence opener variety | Target: ≥60% unique sentence openers | | consecutiveRepeats | 4 | | diversityRatio | 0.40860215053763443 | | totalSentences | 93 | | uniqueOpeners | 38 | |
| 0.00% | Adverb-first sentence starts | Target: ≥3% sentences starting with an adverb | | adverbCount | 0 | | totalSentences | 55 | | matches | (empty) | | ratio | 0 | |
| 89.09% | Pronoun-first sentence starts | Target: ≤30% sentences starting with a pronoun | | pronounCount | 18 | | totalSentences | 55 | | matches | | 0 | "She let the familiar odor" | | 1 | "she breathed, sliding off the" | | 2 | "He moved with a slight" | | 3 | "His grey-streaked auburn hair had" | | 4 | "he said, the corner of" | | 5 | "She caught the drink before" | | 6 | "she said, watching his reaction" | | 7 | "His eyebrows raised in that" | | 8 | "she finally said" | | 9 | "she said quietly" | | 10 | "he began, clearing his throat" | | 11 | "he said, turning away to" | | 12 | "he offered, limping to the" | | 13 | "he said as she hesitated" | | 14 | "She nodded without really answering," | | 15 | "she said finally, turning away" | | 16 | "he called after her, his" | | 17 | "She didn't look back as" |
| | ratio | 0.327 | |
| 0.00% | Subject-first sentence starts | Target: ≤72% sentences starting with a subject | | subjectCount | 51 | | totalSentences | 55 | | matches | | 0 | "Aurora Carter nudged the heavy" | | 1 | "The bar hummed with the" | | 2 | "She let the familiar odor" | | 3 | "The voice was deep, familiar," | | 4 | "Aurora turned slowly, her bright" | | 5 | "she breathed, sliding off the" | | 6 | "He moved with a slight" | | 7 | "His grey-streaked auburn hair had" | | 8 | "The signet ring on his" | | 9 | "he said, the corner of" | | 10 | "Aurora's fingers went instinctively to" | | 11 | "Silas laughed softly, the sound" | | 12 | "The accusation hung in the" | | 13 | "Aurora replied, sitting back on" | | 14 | "Silas countered, limping around the" | | 15 | "Rory swallowed hard as he" | | 16 | "She caught the drink before" | | 17 | "she said, watching his reaction" | | 18 | "Silas nodded, his expression softening." | | 19 | "Aurora smiled properly for the" |
| | ratio | 0.927 | |
| 90.91% | Subordinate conjunction sentence starts | Target: ≥2% sentences starting with a subordinating conjunction | | subConjCount | 1 | | totalSentences | 55 | | matches | | 0 | "Now it was Silas's turn" |
| | ratio | 0.018 | |
| 73.73% | Technical jargon density | Target: ≤6% sentences with technical-jargon patterns | | analyzedSentences | 31 | | technicalSentenceCount | 3 | | matches | | 0 | "As she settled onto a worn mahogany stool, her eyes scanned the room, landing immediately on the old maps and black-and-white photographs that adorned the walls…" | | 1 | "Silas sighed, his gaze drifting to one of the photographs—a young man in a trench coat, dashing and foreign-looking." | | 2 | "The rain had stopped when they reached the door, leaving behind air that felt clean and cool against her skin." |
| |
| 53.57% | Useless dialogue additions | Target: ≤5% dialogue tags with trailing filler fragments | | totalTags | 21 | | uselessAdditionCount | 3 | | matches | | 0 | "he said, the corner of his mouth tugging upward" | | 1 | "Aurora said, her voice barely above a whisper" | | 2 | "he called, his voice strangely quiet despite the London night" |
| |
| 100.00% | Dialogue tag variety (said vs. fancy) | Target: ≤10% fancy dialogue tags | | totalTags | 14 | | fancyCount | 2 | | fancyTags | | 0 | "she breathed (breathe)" | | 1 | "Silas laughed softly (laugh)" |
| | dialogueSentences | 56 | | tagDensity | 0.25 | | leniency | 0.5 | | rawRatio | 0.143 | | effectiveRatio | 0.071 | |