Recent content by jayonrider

For AI Automation, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is customisation. 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...

One thing worth trying with Google Gemini explained: a practical look at automation is a controlled comparison around google and gemini. Use the same input for each test and note what changes in the output rather than judging from a single run. If you share the exact setup, it would be easier to...

I have been exploring Local AI Help and wanted to ask people who have tried it in practice. I am particularly interested in future improvements and collaboration. I would like to compare approaches that people have actually used rather than just theoretical suggestions. What trade-offs have...