Recent content by zoespac

For AI Productivity, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is beginner tips. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the outcome...

For Key things to know about DeepSeek and evaluation, I would separate the problem into setup, output quality and repeatability. deepseek and evaluation fits into that because it can change the result quite a lot depending on the workflow. It is usually easier to troubleshoot when each change is...

For Go, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is evaluation. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what actually improved the outcome. Another area is...