AI that people can actually understand and use.
Design AI experiences that help people understand what the system is doing, what they can control and what to do next.
The problems this solves
- Unclear AI behavior
- Low trust in the output
- Poor feedback and correction loops
- AI disconnected from real workflows
- Too much complexity for the user
What I solve
- AI UX
- Human-AI workflows
- AI assistants
- AI dashboards
- Recommendations
- Conversational experiences
Who this is for
Product teams adding AI features to an existing product
Founders building an AI-first product
Teams whose AI works technically but confuses users
Not sure this is the right starting point? Tell me what you’re working on →
How the engagement works
A focused sprint to make one AI workflow trustworthy, or folded into a broader product engagement. Starts with a short consultation to understand the product.
Questions, answered
Do you build the AI models?
No — I design the experience around them. The intent, context, transparency, feedback and control that make an AI feature usable and trustworthy.
Can you work with our existing AI feature?
Yes. Most engagements start from something that already works technically and needs to become understandable and controllable for the people using it.
Have an AI product problem? Let’s talk →
A short conversation about what you’re building and what’s not working — then an honest read on the right next step.


