Recent content by lukegar

This tutorial shows a simple repeatable way to work with Perplexity while focusing on troubleshooting. 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...

I think machine and learning 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. The original point — "A practical understanding of Machine Learning starts with knowing what...

For AI Agents for Websites, it helps to think in terms of inputs, constraints, verification, and iteration. One important area is real-world use. 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...