I’ve noticed the same pattern. A lot of AI SaaS products are impressive during the demo, but the real test is what happens after the novelty wears off. One common problem is AI being added as an extra layer instead of being integrated into the existing workflow. If users constantly have to review irrelevant suggestions, approve unnecessary actions, or change how they work just to use the AI, the feature quickly becomes more of a distraction than a productivity tool. I think the best AI features are almost invisible. They understand the context, reduce repetitive work, and help users reach an outcome faster without creating additional complexity.bThe question product teams should probably ask isn’t “Where can we add AI?” but “Where are customers losing time today, and can AI remove that friction?” That shift in thinking can make a huge difference.

I’m happy someone is finally pointing this out because AI features are supposed to feel more natural and blend in, that’s how you know that this particular feature works like a teammate. The ones that expect you to change your MO to fit their functionality is just not cutting it for me.

Every new AI SaaS gets the “blank text box” completely wrong. Founders assume that giving users an open-ended, ChatGPT-style prompt field is the ultimate feature, thinking flexibility equals value. In reality, it forces users to do all the heavy lifting. Instead of solving a problem, it hands them a blank canvas and asks them to figure out how to use the software.

• This reply was modified 2 months ago by  FAVOUR.

I agree, I think the biggest mistake is adding AI just for the sake of having an AI feature. If it doesn’t solve a real problem or save time, people will quickly stop using it. The best AI features are the ones that feel natural and actually make the product easier to use.

• This reply was modified 2 months ago by  Warner.

Too many products treat AI as a separate destination, another chat window, another button, or another dashboard, when the user really just wants to finish the task they were already working on. The best AI features should be almost invisible. They should appear at the right moment, use the context already available, and either save a meaningful amount of time or disappear entirely.

I have noticed the same pattern. Many AI features look impressive in demos but end up being ignored after a few days because they do not actually fit the workflow. The best AI features are the ones you stop thinking about because they naturally blend into the product.

when AI gets something wrong it often forces the user to delete everything and start over manually . if fixing the AI’s mistake takes longer than doing the work from scratch the product fails

That’s a really important point, an AI feature shouldn’t create more work when it makes a mistake. If users have to spend more time correcting or rebuilding something than they would have spent doing it themselves, the whole value proposition falls apart, good AI should make recovery easy too, not just get the first attempt right.

AI doesn’t become useful just because it’s smart.<div>Good AI should make your work easier, not more complicated. If the AI doesn’t remove friction, save meaningful time or help the user make a better decision, it can quickly become another button people learn to ignore.</div>