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Design / AI Experience Design

Design for trust, not just a prompt.

Interfaces that help people understand, direct and review the behavior of AI systems.

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The challenge

AI Experience Design.
What the work involves.

AI introduces uncertainty into familiar software patterns. Users need to know what a system can do, where an answer came from and when an action requires their judgment.

We design the interaction around the user’s task, including source visibility, editing, approval, recovery and uncertainty. A chat interface is one option, not the default answer to every AI experience.

What DX1st does

What we deliver.

  • AI interaction flows and interface prototypes
  • Patterns for sources, feedback, review and approval
  • Usability findings and a design handoff

How we approach it.

01

Define the relationship

Clarify what the person directs, what the system suggests and what needs approval.

02

Prototype the behavior

Design useful outputs alongside loading, uncertainty and failure states.

03

Test understanding

Observe whether users can assess results and recover when the system is wrong.

Business outcomes

What we aim to improve.

  • Clearer expectations of AI behavior
  • Better support for human review
  • More usable AI within real workflows

Frequently asked questions.

Does every AI product need chat?

No. Inline suggestions, structured forms, review queues and guided workflows may serve the task better. We choose the interaction based on the work.

How do you design for uncertainty?

We make the system’s boundaries understandable, expose useful sources and provide review, correction or escalation paths where they matter.

Can this improve an existing AI application?

Yes. We can audit the current experience and focus on the moments where users misunderstand, abandon or over-trust the system.

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look like for you?

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