6 min read
Grounding and limits
Users forgive imperfect answers less when they cannot see where information came from. Show sources, confidence where it helps, and explicit limits (“I can summarize this PDF, not legal advice”).
Failure is a feature
Timeouts, rate limits, and model refusals should read as calm system behavior, not crashes. Offer a retry path, a fallback workflow, or a human handoff without dead ends.
Feedback loops
Ship logging and lightweight ratings on AI outputs. Patterns in failures tell you whether the problem is prompts, data, or product fit—not model size.
Trust accrues in the details
Animations, copy tone, and consistent layouts signal that the product is intentional. Sloppy UI around “smart” features reads as experimental—and experiments get turned off.
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