I wanted to start a broader mistakes and lessons thread around AI for LinkedIn.
A useful angle is getting started, but it also connects with testing. 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 for LinkedIn is genuinely useful and where it still needs improvement.
A useful angle is getting started, but it also connects with testing. 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 for LinkedIn is genuinely useful and where it still needs improvement.
