1. What is Generative AI?

Generative AI is a technology inspired by traditional AI, but what sets it apart is its ability to create content—hence the term 'generative.' At the core of it all are what we call LLMs, which might sound a bit strange, but it stands for Large Language Models. These are models that have been trained on vast amounts of information.

Through that training, what they’ve learned is how to speak—how to understand how to continue sentences. In the end, it’s a predictive system; what it does is identify, among all possible combinations, which one is the best.

2. What new possibilities does generative AI open up for a small or medium-sized business?

I’d say that AI helps us in several ways, right? The first would be doing things you already do, but faster or better—with higher quality.

Another is doing things you couldn’t do before, and now you can. I like to give the simple example of creating a song—this is now possible with AI. I couldn’t create a song, let alone sing it, but now I can do it with AI.

And then there’s delegating tasks to AI, which is the next level. It’s no longer just reactive, like going to the AI and asking for something. Instead, you actually delegate, and tasks you used to do yourself are now done by Artificial Intelligence.

3. In what specific cases can generative AI help you?

Anything that involves handling text, it does wonderfully well. For example, with long documents, it can do simple tasks like summarizing them, rewriting them, extracting specific information, or even organizing that information into a table.

It’s also great with documents like contracts, which are often written in complex language—AI can adapt that language into something much easier to understand.

And going a step further, if you have a meeting with a client where they request certain products your small business offers, you can even ask the AI to fill out a quote template for you. Let’s say you have your quote format in a Word document—you can map the meeting information to that template, and in seconds, the AI generates a new document: your quote for that client. What it’s done is combine the content from the meeting with your pricing template.

4. What is a prompt and why is it so important in the use of generative AI?

A prompt, put simply, is the instruction we give to the AI so that it gives us a response. There are two main ways to use prompts or interact with AI. One is by asking it questions. As I mentioned, it’s trained on a huge amount of information (language models), so the way it works is: I ask a question, and I expect it to respond based on the content it has access to—which can vary depending on the technology.

The second way is by giving it content and expecting it to do something with it. For example, I might give it the transcript of a meeting and expect it to summarize it, extract key points, and so on. So prompting is the way we provide context to these AI models so that the information we request is as complete and relevant as possible.

And it’s very important, because in general, the AI doesn’t know who you are, what you do, or how you’re going to use what you’re asking for. So, the better and more skillfully we build that context and construct the prompt we give to the AI, the more useful and tailored the result will be for us.

5. How do you see the evolution of this technology

Well, the trend is moving more toward enhancing automation. I’d say we’ve spent the last two and a half years understanding how AI can really support people—especially in areas related to prompting skills, knowing what information to use, and how to ask the right questions. Now we’re shifting toward building agents that don’t just assist with someone’s daily tasks, but actually design and automate entire processes—processes that can be used by multiple people.