How does Breezy know what to say?

Let’s clear something up. Breezy doesn’t think. It doesn’t “know” what it’s saying. And it definitely doesn’t make decisions the way you or I do. But it does follow patterns. Fast. Accurately. And with surprising usefulness.

If you’re wondering how an AI like Breezy actually makes decision, (especially when helping your business respond to customers or solve problems) this post is for you.

What even is an LLM?

LLM stands for large language model. Think of it like a super-powered autocomplete machine. You type something in, it predicts the next word, and the next, and the next. It’s not just guessing words randomly. It’s using patterns it learned from reading a huge chunk of the internet: websites, books, FAQs, conversations, and more.

How does it “decide” what to say?

LLMs don’t decide like a person. They don’t pause, reflect, or weigh pros and cons. Instead,

You give it a prompt, a question, instruction, or request i.e "Write a message to a customer who missed their booking"

It looks at your prompt and its training and calculates: “What is the most likely, most useful next word in this situation?”

It does this again and again, word by word, sentence by sentence. The result is a response that sounds smart because it follows patterns from real human writing

This loop happens millions of times during training.

What influences Its “decision”?

Here’s what shapes what ChatGPT says back to you:

Your prompt: Clear, detailed prompts give clearer answers. Vague prompts = vague replies

Context: If you’ve had a long chat, it remembers the thread and responds accordingly

Examples you give it: When you show it how you like things written (tone, style, structure), it mimics that

The training data: Tools like Breezy do not search the web for answers. It draws on patterns it learned during training

If you’re using tools like Breezy, this is happening behind the scenes. It learns from the types of questions your customers ask, how you respond, and what leads to successful bookings, all so it can be more helpful over time.

A simple analogy

Imagine you run a bakery. A customer walks in and says, "I want something sweet, but not too sweet"

You’ve served thousands of people like this. So you “decide” to suggest a raspberry scone. Why? You’ve seen this pattern before. You’re not guessing, you’re matching experience to the ask. LLMs do the same thing. That’s how they “decide.”

The takeaway

Breezy doesn’t have beliefs. It doesn’t know what’s true. It’s just incredibly good at predicting what will be useful based on your request. So, ask smart questions. Give good examples. Be specific. You’re the expert in your business. Breezy is the expert in language. Put that together, and you’ve got a powerful combo.