Recent content by jack_wolf

This tutorial shows a simple repeatable way to work with n8n while focusing on future improvements. Step 1: Define the result you want. Write down the output format, quality requirements, and any limits before you start. Step 2: Prepare a small representative example. Test with something easy...

The point about google and veo 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 also gives you a cleaner baseline if you want to compare tools or settings later.

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