🧠🍹AIPERITIVO #9 Use case: Build Your Own AI Learning Kit in less than 1 hour!

Can we use AI to reduce time, cost and hassle without being a tech guru?

A few months ago, a client walked into our meeting holding a thick printout, nearly 60 pages long.
“This,” he said, “cost us 10,000 euros and took two weeks to produce. It’s a training guide on what Generative AI is and how we should start using it inside the company.”

I didn’t ask who the consulting agency was or what their process looked like. That wasn’t the point.

What struck me was this:
In the past, companies would naturally turn to external consultants to distill knowledge, codify it, and deliver polished material. That model made sense when know-how was scarce and tools were limited.

But today?

With the right mindset and a handful of AI tools, you can build something equivalent – or better – in-house, faster, and at a fraction of the cost. You don’t need to be a technical expert. You need a framework, curiosity, and a willingness to experiment.

So I took the challenge.

Not only did I promise to show him how to build a complete training experience on generative AI, tailored to his business – I also told him I could prototype it in less than 1 hours.

P.S. This is a fictitious use case designed to illustrate a mindset shift, a practical workflow, and the potential of AI tools to support content creation. As always, outputs generated by AI require careful human review, fact-checking, and ethical validation to address possible biases, hallucinations, or inaccuracies that may arise during the process.

Let’s Build It Together (Yes, You Too)

This is exactly the kind of exercise we’re doing today.

But I want to take it one step further: we’re going to build it together – step by step – and I’ll show you not just the result, but the reasoning behind each choice. You’ll see which tools I use, why I use them, and how you can replicate everything on your own.

This is not theory. This is a real project you could try at home, in your company, or as a professional consultant. And you might be surprised by how far you can go in a short amount of time.

Building the Training Guide and Materials

Step one: we need to design a full learning path on Generative AI.
But to keep things simple (and anonymous), we won’t use the real company. Instead, we’ll imagine we’re designing a course for a fictional institution:
Bellinzona Inc. (Totally made up, sounds cool – and no risk of offending anyone.)

Step 1: Define the Course Structure with AI Support

Before diving into writing, I wanted to clarify the structure. There are two ways I could approach this: either rely on my own outline based on prior experience or treat this as a real collaboration with AI and start from a blank slate.

I opened Perplexity.

Why Perplexity? Because I didn’t want just a generic answer. I was looking for a structure informed by actual academic or professional training programs that have been published or documented online. Perplexity, with its access to real-time sources and citations, gives me a sharper sense of what's already out there. [if you wish to know more about Perplexity, see more detailed view here]

I asked something simple, but clear:
"What’s a good structure for a corporate training program on generative AI for non-technical staff?"

The answer came back structured, relevant, and useful. It mentioned the importance of aligning the course with business objectives, starting from fundamentals, including practical use cases, and dedicating time to ethical concerns and future readiness.

This gave me a solid foundation. But I didn’t stop there. I wanted something more tailored, so I moved to ChatGPT to refine the structure – adapting it to a fictional institution and reframing the modules with a tone and approach that felt more human-centered, more real.

Step 2: Generate the Course Content with ChatGPT

To move forward, I typed a more specific prompt in ChatGPT, taking obviously into account the info from Perplexity search:

"Act as a corporate training designer. I am working with a fictional client (Bellinzona Inc.) and I need to create a training guide on Generative AI for non-technical staff. The tone should be clear, friendly, and practical. The content should be structured into 7 sections: introduction to generative AI, business value of AI, real-world use cases and tools, managing risks and ethics, identifying internal opportunities, delivering solutions with AI tools, and future directions. Keep content high-level and non-technical."

📌 This prompt provides:

• Clear audience context (non-technical managers, team leads)

• The goal (understand and integrate GenAI into strategy)

• The length and tone expected

• The themes to be covered (fundamentals, risks, value, implementation)

• The output format (course description)