How We Train Our AI Tools (The Real Story)
One question I’ve been getting a lot lately…
“How are you training your AI models for PPCrush and LocalBizAnalyser?”
Short answer: We’re not training them the fancy way.
Long answer: We’re not spinning up massive custom LLMs (yet). Yes, we’ve started experimenting with our own hardware installs, but the real magic is in something called RAG—Retrieval-Augmented Generation.
If that sounds like buzzword salad, here’s the simple version:
Instead of re-training an entire AI model, we’re layering this battle-tested insight on top of powerful language models. This makes our tools more accurate, more useful, and laser-focused on what works in the real world.
It’s not “pure” AI training in the traditional sense—but it’s smarter. And faster.
So now you know the secret: RAG is our AI sidekick. And the knowledge? That’s all us.
👉 Want to build your own? Go for it.
👉 Want to shortcut the learning curve and leverage our experience instead? Even better.
