Recent content by ethanbuilder2

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

The point about ideogram and experiments 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. It is usually easier to troubleshoot when each change is tested on its own.

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