I’ve been trying quite a few new AI SaaS products lately, and one thing keeps standing out.

Many of them have impressive AI capabilities.

• The models are fast.

• The demos look polished.

• The feature lists are long.

But after using them for a few days, I often find myself turning the AI feature off or ignoring it.

It made me realize that adding AI and making it genuinely useful aren’t necessarily the same thing.

Some products interrupt existing workflows with AI suggestions that aren’t relevant.

Others try to automate tasks that were already simple.

A few seem to prioritize having an AI feature over solving an actual customer problem.

To me, the best AI features are the ones you stop thinking about because they naturally fit into the product.

They save time without asking you to learn an entirely new way of working.

I’m curious what others have noticed.

If you’ve tried a lot of AI SaaS products recently, what’s one feature or design decision that keeps missing the mark?

I’m not looking for specific companies, more interested in common patterns that product teams should probably avoid.