Recent content by leoorbit

I wanted to start a broader future possibilities thread around AI Productivity. A useful angle is real-world use, but it also connects with creative uses. Different tools and workflows can produce very different results even when the goal is similar. It would be interesting to compare...

I think general and image 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. It also gives you a cleaner baseline if you want to compare tools or settings later.

A useful way to understand AI Podcasting is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is performance. Define what a good result looks like before changing tools or settings, then test one variable at a time so you can tell what...