I wanted to start a broader community experiences thread around AI Projects.
A useful angle is common mistakes, but it also connects with productivity. 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 Projects is genuinely useful and where it still needs improvement.
A useful angle is common mistakes, but it also connects with productivity. 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 Projects is genuinely useful and where it still needs improvement.