Designing trustworthy AI features
The idea: Design for the verification gap: stream the answer so it feels alive, cite sources so claims are checkable, show confidence and let users correct, and keep a human in the loop for high-stakes actions.
What you'll be able to do: You can name UX patterns that build trust (streaming, citations, human-in-the-loop) given the verification gap.
The problem it solves: The model is sometimes wrong. How do you ship it so users can still trust — and verify — it?
Builds on: An LLM feature in production
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