u/Acceptable-Ball-2206

A lot of the “AI agent” examples I see are either too broad or too demo-y.

One use case that’s actually been useful for me is much less glamorous:

taking raw files and turning them into something usable without having to manually babysit every little cleanup step.

I’ve been using Pandada for that kind of work lately.

Typical stuff looks like:

• multiple files
• inconsistent structure
• repeated prep steps
• same downstream need every time

What made it useful wasn’t hype.

It was just reducing the repetitive decisions I’d otherwise make over and over myself.

For me, the main value has been:

• less manual prep
• more consistent outputs
• easier handoff into the actual work after that

I’m curious what other people here are using agents for that genuinely saves time in real workflows, not just in demos.