Most teams default to chat when they think about adding AI to a product. But chat is just one pattern — and often not the right one. In this episode, Patricia breaks down the four AI interaction patterns every designer needs to know: Advisor, Generator, Agent, and Orchestrator. Each one has a completely different UX logic, a different failure mode, and a different answer to the one question that matters most: who carries the risk when the AI is wrong?
Key Learnings:
There are four distinct ways AI can show up in a product — and most teams only ever reach for one
Each pattern has a different design job: skimmable, editable, reversible, legible
The question "who carries the risk when the AI is wrong?" will change how you approach every AI feature you design
Most real products are a mix of patterns — knowing which part is which is where the real design work starts
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