Recent content by joshbui

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

One thing worth trying with General AI Devices knowledge guide: improving future improvements is a controlled comparison around general and devices. Use the same input for each test and note what changes in the output rather than judging from a single run. That way you can improve the workflow...

For AI Dubbing, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is deployment. 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. Another...