Honest UX Talks by Wix Studio #145 The UX of Agentic AI w/Andrei Clodius
Jul 29, 2025
Andrei Clodius, Lead Product Designer at UiPath, dives into the innovative world of agentic AI, examining how these intelligent systems are reshaping our work. He highlights the key differences between designing for traditional UX and agentic AI, emphasizing the non-deterministic nature of these technologies. Andrei also discusses the importance of user engagement and iterative testing in AI development. Furthermore, he explores the evolving role of designers, advocating for a balance of intuition and structured learning to tackle future challenges in the AI landscape.
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Defining AI Agents and Agentic AI
- AI agents are software entities that perceive input, reason, and act with a goal reflecting the user's intent.
- Agentic AI is a system of multiple agents orchestrating themselves for longer, complex tasks beyond single-agent limits.
How AI Agents Help in Work
- AI agents excel at taking unstructured data and teaching users through conversational guidance.
- A practical example is an AI note-taker reliably capturing meeting notes and performing contextual actions like scheduling.
Designing Agents vs Traditional UX
- Designing for AI agents is similar to traditional design in needing deep knowledge of the material and technology.
- The major difference is orchestrating non-deterministic outputs rather than controlling deterministic flows.