Generic, templated interfaces
AI picks the most common pattern, not the right one for your users. The screens work, and they look like every other app.
Your AI-built product works and ships fast. But users drop off, the interface looks generic, and you can't tell whether people are confused or simply not interested. We bring the research and the design judgment AI can't, and we tell you which screens are costing you.
AI is one of our tools, and we move fast because of it. But the parts that decide whether a person stays or leaves still need a designer. Here is where AI-built products lose users.
AI picks the most common pattern, not the right one for your users. The screens work, and they look like every other app.
AI cannot talk to your customers or watch them get stuck. It never sees why the task matters to them.
Screens come out technically correct but hard to scan. People can't tell where to look or what to do next.
The main path works. The first time someone hits an empty list or a failed payment, the screen has nothing to say.
Good design is a thousand small decisions about tone, spacing, wording, and priority. AI averages those decisions rather than making them.
AI is good at building. It is not good at understanding people, and that last stretch is what separates a product that demos well from one people keep using.
We talk to the people who use your product, watch where they hesitate, and design for the way they actually think.
We decide what comes first on a screen, what gets cut, and how the wording sounds, instead of settling for the common pattern.
We find the drop-off nobody asked about: the step people repeat, the button they never press, the message that reads as an error.
Spacing, motion, and copy that make the product feel like someone cared. People read that as a product they can trust.
Anna Sholokhova, Software Developer and UX/UI Expert. With over 14 years of experience in UX/UI, product design & product management, Anna has built dozens of products used by millions of users across SaaS, healthcare, smart home, and other industries. She brings a rare combination of design expertise and technical depth, bridging the gap between user experience and implementation. With front-end and web development expertise, she translates designs into AI-powered solutions—from user research to coded prototypes—that are both beautiful and technically sound.
Products their teams built with Lovable, Cursor, and similar tools, then handed to us for the design layer.
From a one-off audit to an ongoing design partnership.
We talk about your product, your users, and what's not working. Free, no pressure.
We recommend the right service and give you a clear timeline and price.
Audit, design, or ongoing partnership — with regular check-ins so nothing gets lost.
Designs and recommendations packaged so you (or your AI tools) can implement them directly.
It's generated, which is different from designed. AI gives you a working starting point. We turn it into something your users trust and can move through without stopping to think.
No. We work alongside them. We deliver designs and specs you can feed straight back into your build process.
A focused audit or targeted fix can turn around in days. Larger redesigns depend on scope — we'll set a clear timeline up front.
Yes — the consulting & partnership option is built for exactly that.
Next step
We'll tell you where your product is losing people, whether or not we end up working together.