Recent content by ryancoffee

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

The point about step and troubleshooting is interesting. In practice I would keep the first test simple, record what worked, and only add extra complexity if it solves a specific limitation. If you share the exact setup, it would be easier to narrow down which part matters most.