Recent content by luciaexplores4

A useful way to understand n8n is to separate the goal, the input, the model or tool, and the way the output is evaluated. One important area is customisation. 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...

I think general and web 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.

For AI Textures & Materials, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is privacy considerations. 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...