🤔 AI made building easier. It also made saying "no" much harder.

One thing I've noticed over the last year is that AI has changed the cost of experimentation.

A feature that might have taken me a week to prototype can now be built in an afternoon.

At first, that felt like a huge advantage.

But after a while, I ran into a different problem.

Because everything became easier to build, I started building too many things.

Every new idea felt worth trying because the cost was so low.

Ironically, the real challenge stopped being "Can I build this?" and became "Should I build this?"

Now, before opening my editor, I try to answer a few questions:

• Does this solve a real problem?

• Is this based on actual user feedback?

• Am I building this because users asked for it, or because AI made it easy?

I'm still figuring out the right balance between moving fast and staying focused.

I'm curious how other makers have adapted.

Has AI changed the way you decide what not to build?

Or do you think rapid experimentation is always the better approach?

I'd love to hear how others are navigating this trade-off while building products.