Good to see you here
I'm Nelly, an AI UX consultant and product designer.
Most AI products don't fail on the algorithm.
They fail because nobody decided who's accountable when the machine is wrong. That's the part I design.
My numbers
Teams I've partnered with across founders, product, engineering and data science; five companies, over a decade.
Latest work
Currently exploring
Graduated autonomy
I think every AI action needs a tier, not a toggle.
Confidence design
I believe sounding sure and being right are different problems.
Multi-agent conflict
I'm obsessed with what happens when two agents disagree.
AI-native practice
I design with Claude, not just for it.
Risk as shared language
I think "high risk" is a negotiation, not a threshold.
"AI governance isn't a technical problem. It's a negotiation problem."
The system can't classify risk until the organization agrees on what it values. That agreement is the work.
My Work
Six products across enterprise AI, fintech, civic tech and document automation.
Each shipped with a real constraint: a regulator, a deadline, or a team that didn't agree yet.
Case studies
My Process
I don't believe in one-size-fits-all.
Every project gets the approach it needs. Sometimes deep research, sometimes shipping code in a day.
About Me
The short version, the working version, and what I do when I've been staring at systems too long.
Ten years in product design, most of it on AI and SaaS products where the hard part was never the interface. I'm an AI UX consultant now, but the question hasn't changed: what happens when the system is wrong, and who answers for it?
I work with product, design, and engineering teams to build AI systems that can be trusted, questioned, and governed. That means asking the uncomfortable question early, before it becomes a postmortem.
I wrote a book about it, The Interface Is Not the System, and I run those same frameworks on real client work. Based in Germany, working with teams anywhere.
Thanks for being here
inConnect on LinkedInWhat I believe
Working with me
When I'm not designing
Paintings, places, and things I cook. Hover to pause · tap any tile to open.
Experience
Ten years, mostly where AI meets accountability. Open a role to see the detail.
Roles
Beyond the projects
Helping UX designers adopt AI into their own practice, from prompting and evaluation to where human judgment still has to lead.
Runs Groundwork, a six-check AI trust diagnostic: from use case readiness to launch risk to live agent grounding. Evidence labeled, sourced, no black box.
Author of The Interface Is Not the System. Ongoing writing on AI UX at uxandai.com.
Writing
One book and an ongoing argument about AI, design and who is accountable.
Pick a shelf.
The Interface Is Not the System
Why most AI products fail at the seam between the model and the person using it, and the framework I use to fix it.
Fixing the screen rarely fixes the problem.
Teams pour effort into the chat window, the loading state, the empty screen. Meanwhile the actual failure is upstream: nobody decided what the AI is allowed to do, how sure it needs to be, or who is answerable when it's wrong. The interface only makes those decisions visible. It doesn't make them.
Thinking Before Designing AI
Framing the problem correctly before any interface gets drawn.
Core Design Patterns for AI Systems
The recurring patterns that make AI behavior legible instead of opaque.
Designing for Uncertainty, Time, and Change
Confidence, drift, and what happens after ship day.
Research, Bias, and Ethics in AI Product Design
Where responsibility actually sits, and how to research for it.
The six failure patterns
Inside the book
Anyone shipping AI into a place where being wrong is expensive.
Product designers, PMs, and the engineering leads who end up owning the governance conversation by default. Not a technical book: no model architecture, no code. It's about the decisions around the model.
Need a workshop for your team? →My AI Design Tools
Tools, skills and maps I build for my own practice.
Not client work. This is where I test ideas before they earn a case study.
Built and usable right now
In build, shipping soon
Scoped, not started