Recent content by ethan_nova

When working with AI Agents, the biggest gains usually come from treating it as a repeatable workflow rather than a one-off prompt or experiment. One important area is useful tools. Define what a good result looks like before changing tools or settings, then test one variable at a time so you...

I think llama.cpp and automation 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. The original point — "For llama.cpp, it helps to think in terms of inputs, constraints...

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