Stas Kovalsky from Glow Design Agency explains that the next wave of UX innovation will be driven by agentic AI, intelligent systems that take initiative and collaborate with users. He highlights how multimodal interactions, combining voice, text, and vision, will create more natural and seamless user experiences, particularly in mobile-first products. While many still overuse chatbot interfaces, John believes the real value lies in co-creative AI tools that support human creativity with smart defaults and adaptive design. He emphasizes that what sets great AI products apart isn’t just the technology, but how trustworthy, intuitive, and emotionally resonant they feel. At Glow, this philosophy translates into designing AI that earns trust, explains itself clearly, and always puts the user at the center.
Which AI trends will most reshape UX in the next 2–3 years?
At Glow, we see three significant trends reshaping UX in AI products. First, agentic interfaces — AI that takes initiative — will shift how people experience digital tools. It’s no longer about commands but collaboration. Second, multimodal interactions (voice, text, vision) will become seamless, especially in mobile-first products. And finally, hyper-personalization powered by AI will become the default. As an AI UX design expert, I believe the next frontier isn’t smarter AI — it’s more human-centered AI.
What’s one AI-driven design trend that’s overrated and one that’s underrated?
Overrated: forcing everything into chatbot UIs. While conversational AI is powerful, not every task needs to be a dialogue. Users often crave clarity and speed.
Underrated: co-creative AI tools — systems that support human creativity instead of replacing it. At Glow, we build tools that enhance workflows through smart defaults, context-aware suggestions, and adaptive UI. That kind of quiet intelligence is where great UX lives.
What makes an AI product stand out in a crowded market?
You can build with the same model as everyone else, but how it feels makes a product memorable. We often say at Glow: “If it feels like magic and explains itself like a friend, you’ve got a winner.” A truly standout AI product balances performance with trust, clarity, and delight. That’s what separates great design from just good engineering. And that’s where an experienced AI product design agency makes the difference.
With agentic UX on the rise, how are you preparing for AI interfaces that take initiative?
We approach this with “progressive autonomy” — designing systems that start with suggestions and grow into delegation, but always with user trust at the center. Interfaces must show why the AI is acting, not just what it’s doing. We also embed consent mechanisms at every step. At Glow, we believe designing for collaboration will replace designing for control — and we’re building for that future now.
How do you balance innovation with usability when designing complex AI systems?
It starts with empathy and constraint. Even the most cutting-edge AI needs to fit into real workflows. As an AI UX design expert, I’ve seen too many teams chase innovation for innovation’s sake. We focus on enhancing the user’s experience, not replacing it. That’s why every AI feature we ship at Glow passes one core test: Does this make the experience simpler, faster, or more human?
What role does design play in managing LLM quirks like hallucinations or uncertainty?
Design is the translator between complex systems and real people. When large language models hallucinate or get things wrong, it’s the interface that determines whether trust is broken or maintained. We’ve found success using uncertainty cues, explainable outputs, and even playful affordances to communicate limits without fear. Good design doesn’t just polish AI — it makes it reliable.
