AI Automation — what is changing around creative experiments?

theo8098

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I wanted to start a broader creative experiments thread around AI Automation.

A useful angle is cost control, but it also connects with deployment. Different tools and workflows can produce very different results even when the goal is similar.

It would be interesting to compare practical examples, experiments, setups, or lessons that show where AI Automation is genuinely useful and where it still needs improvement.

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A useful way to look at AI Automation — what is changing around creative experiments? is to focus first on automation and experiments. That tends to make the trade-offs easier to compare. The original point — "I wanted to start a broader creative experiments thread around AI Automation. A useful angle is cost control, but it also connects with deployment. Different tools and workflows c…" — gives a useful starting point for that comparison.