The #1 Mistake Teams Make When Building AI Agents (And How to Avoid It)

[#1]

When bringing AI into workflows like Rovo, there's one thing we must remember:

✅ Automation thrives on predictability.

✅ AI thrives on adaptability.

Mixing the two without thoughtful UX design can lead to disaster:

• Unexpected behaviors users can't anticipate
• Silent failures that break trust
• A feeling that AI is unreliable

The people creating AI agents aren't the ones using them.

To users, any unexpected behavior feels like a bug.

They don't care that it's "99% correct." They will see the 1% when it doesn't work.

Therefore, instead of thinking about "full automation" when integrating AI agents, we need a different design goal: human-centered collaboration.

When building with Rovo (or any AI layer), the most effective approach is NOT to hide AI inside automation sequences. It's to create applications where users have transparency and control over what AI is doing.

This is how we make Rovo agents feel like trusted teammates, not unpredictable black boxes.

In short, the best Rovo use cases will be the ones users trust and can guide; Not just the ones that automate.

Curious to hear:

How are you thinking about user experience when building with Rovo?

[Qasem O]

Hi

@Ala _Wisary_ 

I am till now didn't using AI Rovo,when I trying to working they saying you need abit of permission. I leaving the works.and starting at microsoft or Google or any other things.the AI is buetiful for works.

Regard

[Ala _Wisary_]

@Qasem O There is no doubt that AI is very powerful and it's up to us, marketplace partners, to find the best ways to leverage it to improve productivity for our customers