Recent content by benthinker

I wanted to start a broader mistakes and lessons thread around AI PCs & Laptops. A useful angle is learning curve, but it also connects with data quality. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare...

I think step and workflow 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 way you can improve the workflow without losing track of what caused the improvement.

A useful way to understand Local AI Agents is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is privacy considerations. Define what a good result looks like before changing tools or settings, then test one variable at a time so you...