Product design

Designing an AI product for the first time

Designing with AI can feel exciting and unclear at the same time. The trick is not to start with what the model can do. Start with what the person is trying to get done.

Start with the job, not the technology

A good AI product is not just a place to type a prompt. It has a user, a context, a purpose, and a result that matters. It helps someone move through a piece of work with more clarity than they had before.

For AI WorkBook, that means asking practical questions first. What is the request? What information is trusted? Who needs to review the output? What should be saved afterwards? What would make this easier next time?

Trust is a design material

AI products need more than good responses. They need boundaries, explanations, handoffs, and records. People need to know when AI is helping, when a person is responsible, and where the evidence lives.

That is why designing AI WorkBook has meant thinking about workflows, records, assistants, review points, and outputs together. The product is not only the AI. The product is the way AI fits into real work.

Make the first version concrete

The easiest way to get lost is to design for every possible use case. The better route is to choose one real workflow and make it work well: one intake, one chain of work, one useful output, one place where the evidence stays together.

From there, a pattern can grow. The first product teaches the next one. The system gets clearer because it has been tested against real work, not imagined use.