🙋‍♂️What Nobody Talks About Before Scaling AI Automations

Curious how builders here are actually validating AI automations before scaling

I’m based in Texas USA and coming from the AEC / construction side. I’ve been deep in automation conversations lately, and one thing I keep falling back to is this:

Everyone talks about what they’re building. Fewer people talk about how they pressure-test it before it touches real workflows.

For those of you who’ve shipped or are actively deploying AI automations:

What signals told you, “yes, this is worth scaling”?
Where did early POCs break in the real world?
What did users do that you didn’t expect (good or bad)?

I’m not here to pitch anything — genuinely interested in comparing notes with people who are building practical, non-theoretical systems that have to survive messy human workflows.

If you’re open to swapping lessons learned or debating approaches, I’m all ears. Happy to learn, share, or just jam on what’s actually working.

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