I wanted to start a broader workflow comparison thread around AI Workflows.
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 AI Workflows 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 AI Workflows is genuinely useful and where it still needs improvement.