I wanted to start a broader practical use cases thread around AI Projects.
A useful angle is reliability, but it also connects with integration. 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 reliability, but it also connects with integration. 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.