I wanted to start a broader ideas worth trying thread around AI Projects.
A useful angle is useful tools, but it also connects with reliability. 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.
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A useful angle is useful tools, but it also connects with reliability. 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.
Photo by on
