I wanted to start a broader community experiences thread around AI Marketing.
A useful angle is reliability, but it also connects with advanced workflows. 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 Marketing is genuinely useful and where it still needs improvement.
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A useful angle is reliability, but it also connects with advanced workflows. 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 Marketing is genuinely useful and where it still needs improvement.
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