Recent content by islacorner

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

For What are the biggest mistakes with data quality in Midjourney?, I would separate the problem into setup, output quality and repeatability. quality and data fits into that because it can change the result quite a lot depending on the workflow. That should make it easier to tell whether the...

This tutorial shows a simple repeatable way to work with AI Productivity while focusing on testing. 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...