Recent content by jessdigital83

A useful way to understand Make is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is reliability. 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...

On A practical overview of AI Podcasting for quality versus speed, the part about podcasting and quality 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 is usually easier to troubleshoot...

A useful way to understand No-Code AI Automation is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is evaluation. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell...