Recent content by daisyninja

A practical understanding of AI Workflows starts with knowing what the system does well, where it is unreliable, and how to validate the result. 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...

On real-world use tutorial: a practical Prompt Injection workflow, the part about step and real-world stands out to me. I would test one small workflow first, keep the variables consistent, and compare the result before changing several things at once. If you share the exact setup, it would be...

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