0 to 1 product work
My work spans brainstorming, prototyping, product-market fit search, shipping, and iteration. I care about the full arc because AI products fail when the model, product surface, and operating system are designed separately.
Agentic systems and product surfaces
A lot of useful AI product work sits around the model: tool boundaries, agent loops, evaluation, recovery, observability, and the UX that lets people trust the system. That is also the focus behind Coop.
Taipei base, global context
I am based in Taipei and work across software, neurotechnology, AI-assisted development, and startup-style product building. The common thread is turning unclear technical opportunity into a working product path.
Direct answers
What does an AI product engineer do?
An AI product engineer connects product judgment with implementation: identifying the right AI capability, designing the surrounding system, building the interface, evaluating behavior, and shipping iterations.
Does Kuan build agentic AI products?
Yes. Kuan has built agentic backend systems and now offers agentic system design and build work through Coop.