# Some product principles for the AI era

- Date: 2026.07.07
- Locale: en
- Page: https://cv.rocorgi.wang/writings/ai-era-product-philosophy
- Author: Long Wang (汪龙, rocorgi)



Study what users actually mean, not your assumptions

AI coding has lowered the cost of building, which amplifies a lot of fake demand.

Tools drift toward complexity—we have to fight that trend with everything we have.

In the AI era this is even more true: features ship too fast.

Solve problems; don’t just pile on product features.

Easy to confuse the two. It takes extreme restraint to avoid the illusion that features equal solutions.

Think about how you build product from a marketing lens.

Imagine what new experience a feature gives users—you need a vivid picture in your head. Only then do you know how to tell the product story to users, and that matters for taking the product to market.

Build interactive high-fidelity prototypes, not documents.

In the AI era, shipping a usable product prototype beats documents. Whether you’re aligning with the team or running quick closed user tests.

Further—and then further still.

When you feel the experience is good enough, stop building. Leave the desk, go back to nature, calm down. When you return to the desk, you’ll feel it can be better.

Taste grows quietly through building; looking at good things and using good things is far from enough.

The premise of taste is that you’ve seen enough good products and used enough good products. You feel that goodness yourself. Then you start building, and repeat. You’ll find yourself more and more “dissatisfied” with what you built before.

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