This is my love story with AI
How did I start with AI? What was my wake-up point (with no return)? Let me tell you my story and how I got where I am. The first time I started with GPT was around summer 2021. At first, I thought it was super cool, but really nothing more than Google search on steroids. I used it here and there for simple stuff, like "write me a song about XYZ" or "tell me where XYZ comes from" or "what can you tell me about XYZ", nothing life-changing, but you could already see some potential. Slowly, I started to push what you could do into more useful territory. I began using it within my work to help me write security scripts for vulnerability management and help me understand more technical concepts. It was brilliant at it, and back then it was already giving me an edge over all my colleagues who weren't using it. Gradually, I started using it more and more for my day-to-day activities – helping me write emails, develop security policies, define implementation roadmaps, etc. At this point, it was becoming a key tool for my daily work. I felt this tool was giving me superpowers. I could do the work of 5 different IT and Cybersecurity experts, all on my own. But still, this was not my breaking point. This was October 2023, and the moment of truth was around the corner. November 2023. This was it. OpenAI released something that changed me forever: GPTs. Until then, ChatGPT was an isolated tool for me, super useful, but I couldn't take it out of there to use it for my own specific needs. Not until then. With GPTs, OpenAI gave everyone the opportunity to take this amazing technology and transform it into something fit for their specific needs. From that day, you could create a team of specialist agents capable of being trained on any subject you wanted, with specific instructions to deliver specific outcomes. But why was this a game changer for me? Because this was the first time I realized the impact this technology was about to have on EVERY SINGLE BUSINESS out there. Now I could build teams of specialists, feed specific knowledge documents, specific to a company or even specific to a team within a company, and train them to deliver outcomes that would've taken hours or even days for a human to prepare.