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Most AI products don’t have an AI problem. They have a workflow problem. A lot of AI products today are technically impressive but operationally confusing: • Unclear onboarding • Unpredictable interaction patterns • Fragmented user flows • Weak human/AI coordination • Too much cognitive overhead The challenge isn’t just adding intelligence. It’s designing systems that help people: • Understand what’s happening • Trust the workflow • Recover from ambiguity • Stay oriented while complexity increases That’s where operational UX and workflow design become critical. The next generation of successful AI products probably won’t be the ones with the most advanced models. They’ll be the ones that make complex systems feel understandable, usable, and reliable. That’s the space I’m increasingly focused on: AI-native workflows, operational UX, and product systems that reduce complexity rather than amplify it.
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