A Question About “Half-Built” Automations

One thing I’ve noticed while exploring AI automation is how easy it is to start building something exciting… and then leave it half-finished when a new idea or tool appears.

Before you know it, you have multiple workflows started, experiments everywhere, and a lot of potential, but not many systems fully deployed.

It’s not a lack of ability.

Often it’s just the pace of this space.

So I’m curious:

How many automations have you started that are still sitting in “almost finished” mode, and what’s usually the thing that stops you from pushing them all the way to deployment?

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