I wanted to start a broader productivity ideas thread around AI Agent Development.
A useful angle is collaboration, but it also connects with evaluation. 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 Agent Development is genuinely useful and where it still needs improvement.
A useful angle is collaboration, but it also connects with evaluation. 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 Agent Development is genuinely useful and where it still needs improvement.
