AI Chat UI Best Practices: Designing Better LLM Interfaces

Most AI chat interfaces ship with roughly the same skeleton: a text input at the bottom, a list of bubbles above it, and a spinner somewhere in between. That worked for the first wave of ChatGPT wrappers. It's not enough for products that need to earn trust, retain users, and close enterprise deals. The gap between "chat demo" and "production AI chat UI" is wider than most teams expect. It includes streaming edge cases, citation rendering, feedback capture, safety signals, session persistence, and accessibility. None of which come free with a basic message list. This post covers the patterns that separate polished AI chat UIs from throwaway prototypes. Why You Need More Than a Text Box A bare-bones chat interface creates three problems: Users don't know what to type. An empty prompt field with "Ask anything..." paralyzes most people. They need guidance, examples, and constraints. Users can't tell what's happening. Is the model thinking? Did the request fail? Is it still streaming? With