Inference

Inference is what happens when an AI model "runs."

You type a question, the model does its math, and out comes an answer. That live act of generating the answer is inference. Training is when the model learns; inference is when it works.

Why it matters for the ChatGPT funnel

Inference is the exact instant your buyer gets their answer.

A demand-gen marketer ran a search. The model assembled context, weighed the options, and named a winner. That all happened in a fraction of a second, in a place you never see.

So the question that decides your pipeline isn't "are we in the index." It's "at inference time, with this buyer's prompt, does the assistant pick us." Every recommendation, every "you should try," every booked or missed meeting is decided right there. If you're not the pick at inference, you don't exist in that conversation.

How drio fits

drio shows up at inference time as the app the assistant can actually use. When the model reaches the moment of buyer intent, drio is the tool it picks to book the meeting inside the chat. You don't tune the model. You just become the answer it lands on.