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Psycholinguistics meets code: vibe modeling with LLMs
Prompt tuning for consistent aesthetic style in generated UI code
Personalized code generation based on developer emotion data
Multi-agent vibe systems for synchronized design and narrative
Mood-based UI code generation using LLM feedback loops
LLMs that translate narrative scripts into interactive experiences
LLMs that harmonize code, copy, and color to a single vibe
LLMs that detect visual-textual dissonance in generated code
LLMs that design by feeling: beyond functional correctness
LLMs that adapt copy and layout dynamically to user mood
LLMs generating social media visuals with tone-matched copy