Exploring AI Agent Development: ideas worth trying

[hannah_22g3]

I wanted to start a broader ideas worth trying thread around AI Agent Development.

A useful angle is customisation, 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.



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[millieonfan]

I think agent and development is the key part of this topic. A practical approach is to define the outcome you want, test it with a small example, and then check quality, speed and reliability separately. That should make it easier to tell whether the change is actually helping.

 

[nathanchil]

For Exploring AI Agent Development: ideas worth trying, I would separate the problem into setup, output quality and repeatability. agent and development fits into that because it can change the result quite a lot depending on the workflow. That should make it easier to tell whether the change is actually helping.