Lesson 6 of 6
The AI UX playbook
4 min read
Five ideas, one job: design software that's confident, fallible, and never the same twice — so people trust it anyway.
Five moves for uncertain output
You've now got a working kit for designing AI UX — not visual polish, but the interaction decisions that make probabilistic, fallible output feel trustworthy instead of flaky.
- —Probabilistic output — offer variants and regenerate, not one verdict.
- —Confidence — communicate how sure, with sources and honest flags.
- —Guided prompts — replace the blank box with chips and templates.
- —Human-in-the-loop — raise autonomy slowly, crawl to walk to run.
- —Agent UX — approve the irreversible, observe the work, allow undo.
The one principle to keep
If you remember one thing: design for uncertainty, keep the human in control. The model is probabilistic and fallible, so the interface's job is to give people choice, honesty about confidence, and a way to steer, approve, and undo. Do that and users trust a system that is, by nature, never quite sure.
None of this is AI-specific magic — it's ordinary good UX applied to an unusual material: output with no single right answer. Design the choice, the honesty, and the control, and the uncertainty stops being scary.
What single principle ties this whole course together?
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