Recent content by jackdigital85

For Reinforcement Learning, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is troubleshooting. 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...

On What is the best way to approach real-world use for AI Agents?, the part about real-world and agents stands out to me. I would test one small workflow first, keep the variables consistent, and compare the result before changing several things at once. It also gives you a cleaner baseline if...

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