AI products introduce UX challenges that traditional interfaces don’t always account for: uncertainty, trust, conversational behavior, system feedback, failure states, and communicating what the AI can—and cannot—do.

In this focused sprint, I’ll help turn an AI capability, feature, or early-stage concept into an experience people can understand and use.

Depending on the product and its maturity, the engagement may include product and UX framing, core user flows, interaction design, AI behavior and failure-state design, high-fidelity UI, functional or interactive prototyping, and implementation guidance.

My approach combines product design, UX research, behavioral thinking, systems thinking, and a humanistic perspective with AI-native workflows that allow concepts to move rapidly from ambiguity toward something tangible and testable.

• Product/UX framing and recommendations • Core user journey and interaction flows • Key AI interaction, trust, feedback, and failure states • High-fidelity designs for the agreed core experience • Interactive or functional prototype where appropriate • Developer-ready design guidance / handoff • Final walkthrough and prioritized next steps

Founders and product teams building an AI product, introducing an AI-powered feature, or trying to turn an existing technical capability into an experience that makes sense to actual people.