Recent content by driverjack

For Neural Networks, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is automation. 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...

I think general and robotics 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 — "When working with General AI Robotics, the biggest gains usually come...

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