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