Agentic UX
Agentic UX is the design of product experiences where agents, humans, and mixed human-agent workflows can all discover capabilities, inspect context, provide feedback, and complete tasks without being trapped in a blank chat box [src-088].
Key points
- Mike Christensen's AI Engineer talk argues that broken AI UX is often not the model's fault; products fail when they hide capability, context, and state behind generic chat interactions [src-088].
- RL Nabors's WebMCP talk adds a web-platform version of the same idea: sites should expose structured affordances to agents while retaining rich visual interfaces for humans [src-088].
- Agentic UX needs visible state, recoverability, progressive disclosure, and evidence surfaces so users can understand what an agent did and intervene at the right moment [src-088].
- The pattern connects Generative UI, WebMCP, and Agent-Native Infrastructure: agent interfaces should be interactive, inspectable, and tool-aware rather than only conversational [src-088].
Related concepts
Source references
- [src-088] AI Engineer late-May 2026 channel update (48 transcripts, 2026-05-15 to 2026-05-31)
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