Recent content by gardenevan

I am trying to improve my approach to AI Productivity and could use some practical advice. I am particularly interested in limitations and integration. I would like to compare approaches that people have actually used rather than just theoretical suggestions. Which approach would you recommend...

For AI Business Automation explained: a practical look at data quality, I would separate the problem into setup, output quality and repeatability. business and automation fits into that because it can change the result quite a lot depending on the workflow. The original point — "A practical...

For LM Studio, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is performance. 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...