Exploring Large Language Models: productivity ideas

[tigerzach]

I wanted to start a broader productivity ideas thread around Large Language Models.

A useful angle is customisation, but it also connects with testing. 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 Large Language Models is genuinely useful and where it still needs improvement.



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[milotheninja]

I think large and language 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. It is usually easier to troubleshoot when each change is tested on its own.