UX for products where the model does the work

Chat surfaces, agent dashboards, eval tooling. AI products fail on trust and orientation, not on capability. Veradin designs the interfaces that keep humans confidently in control.

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What you get

UX audit of your AI surfaces

Chat, agent dashboards, eval and review tooling, scored against trust, orientation, and failure-state patterns.

Human-in-the-loop interaction patterns

The model does the work; the person stays in control. Approval, override, and supervision designed on purpose.

Confidence and control states

Loading, uncertainty, correction, and error designed as first-class states, not afterthoughts. Users forgive a wrong answer, not a confident lie.

Scoped monthly design

One active workstream against your product roadmap, priced to scope after the audit.

Governance discipline included

Anything shipped enters your design system, not a one-off file that drifts.

Pause or scale any month

No annual lock-in, same terms as every Veradin subscription.

Pricing

Product Audit

from $4,900one-time

Two weeks reviewing your AI surfaces against trust, orientation, and failure-state patterns. Findings report plus prioritized fixes.

Design Subscription

scopedat roadmap

Monthly design capacity against the roadmap the audit produces. Priced to scope after the audit, so neither side is guessing.

AI product work is scoped after the audit by design: the range of what teams need here is too wide for honest flat pricing.

Questions

What is AI product UX?

AI product UX is interface design for products built on language models: chat and prompt surfaces, agent dashboards, evaluation tooling, and the trust patterns around non-deterministic output. It differs from standard product UX because streaming, uncertainty, and autonomous actions create failure modes classic patterns never had to handle.

How much does AI product UX design cost?

Engagements start with a two-week product audit from $4,900. Ongoing design is a monthly subscription priced to scope after the audit, because the range of what AI teams need is too wide for honest flat pricing.

Why does AI product UX need a specialist?

Because the failure modes are new. Streaming output, non-deterministic responses, agent autonomy, and hallucination risk break the assumptions standard product UX patterns were built on. Designing for them requires having worked with these systems, not just read about them.

What is the working model?

Engagements start with a two-week product audit covering your current AI surfaces, then move to either a scoped design sprint or a monthly design subscription against a roadmap.

Do you build, or only design?

Design through high-fidelity Figma plus front-end-ready specs. AI-assisted production means working prototypes are often part of the deliverable, not an extra.

What have you actually shipped?

Fifteen years of interaction architecture including voice-driven in-vehicle interfaces within Stellantis infotainment environments, enterprise platforms at Boeing, and current production work building and shipping AI-assisted product tooling.

Find out what your system is costing you.

The audit is scoped, priced, and useful on its own. Two weeks, one report, a clear path, and the fee credits toward your first month.

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