AI helps you build the wrong thing faster

A few years ago, the bottleneck was often execution. Could you design it, build it, launch it, and ship fast enough?

Now a lot of teams can get to something real much faster.

But the hard part did not disappear. It just moved upstream.

The real difficulty is still:
- choosing the right user
- defining the right problem
- finding the right wedge
- deciding the right first feature path

And when those choices are weak, speed can actually make things worse.

You do not just build faster.
You go further in the wrong direction before stopping.

That is why I think the next important layer in startups is not just AI for building.

It is better thinking before building.

More structure around the opportunity.
Better ways to compare paths.
More clarity on what deserves real product effort first.

That is the problem I am spending time on right now.

What feels hardest to choose in the early stage today: the user, the problem, the wedge, or the first version of the product?