Designing Interfaces That AI Agents Actually Use
Designing Interfaces That AI Agents Actually Use
Most AI interfaces look like chatbots with a text input and a send button. That is not agentic design. An agentic interface lets the AI take actions, show progress, ask for confirmation, and handle errors — all within a coherent visual flow.
The problem: broad generative systems like ChatGPT cannot produce production-ready wireframes. They hallucinate layouts, skip edge cases, and ignore accessibility. Here is where a human designer becomes irreplaceable.
I design AI-native interfaces using Figma, v0 by Vercel, and Framer. The workflow:
- Define the agent's decision tree (what it does, when it asks for input, what errors it handles)
- Map each decision to a visual state (loading, confirming, error, success)
- Generate base components with v0, refine in Figma
- Prototype in Framer with real data
- Test with actual users — not just AI
The result: interfaces that users understand intuitively, not just AI engineers.
By 2026, top designers will be evaluated less by tool speed and more by their ability to shape AI outputs into meaningful user experiences. The designer who can direct AI toward human-centered solutions wins.