I wanted to start a broader workflow comparison thread around Meta AI.
A useful angle is automation, but it also connects with future improvements. 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 Meta AI is genuinely useful and where it still needs improvement.
A useful angle is automation, but it also connects with future improvements. 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 Meta AI is genuinely useful and where it still needs improvement.