How to start with AI: three principles that actually work
Most people who want to get started with AI make the same mistake. They look for the right tool, the right course, the right moment. While they’re waiting, others are experimenting, and slowly pulling ahead.
Starting is simpler than it looks. You just need three principles.
1. Begin with what you love
The best entry point into AI isn’t a work task. It’s a topic you genuinely care about: a hobby, a personal interest, a question you’ve been sitting with.
Why? Because the moment AI solves something concrete and close to you, it earns your attention. That’s when you naturally want to go further, and that’s when it starts carrying over into your work.
Pick a good tool: Claude, ChatGPT, or Gemini are all excellent starting points, and begin a conversation about something that interests you. This isn’t wasted time. It’s the fastest way to build a real relationship with a technology that will change how you work.
2. Treat AI as a teacher, not a task executor
This shift in perspective changes everything.
Most people approach AI with a specific request: “Write me an email. Summarise this document. Translate this text.” That’s fine, but it’s only a fraction of what AI can do.
Try seeing it differently: as the most available and patient teacher you’ve ever had. Want to learn a new language? Develop a skill? Understand a complex field? AI can assess your current level, design a learning plan, create challenges, and answer your questions whenever you need it.
A practical starting point: give AI a prompt like “You’re a learning specialist. Ask me a few questions to understand my current level on the topic of XY.” Let it build a plan. Then use it as a guide, not just a tool.
This perspective, AI as teacher, is also why you should have access to the best model available. It doesn’t matter whether you use it for work tasks or not. What matters is having the best possible guide at your side.
3. System over inspiration
Inspiration isn’t enough. You need a system.
Pin your AI tools to your browser so they’re always visible. Block 15 minutes in your calendar each day for experimentation. Capture ideas and notes in a tool like Notion or Evernote, not necessarily to process them immediately, but to have them ready when the time comes.
Think of it this way: if you had to hand over your work to a new colleague tomorrow, what would you give them? What information would they need? What processes? This way of thinking, documenting knowledge so that both a person and an AI can work with it, is the foundation of what’s often called a “second brain.” And it’s one of the most valuable skills you can build right now.
Getting started with AI isn’t about finding the perfect tool or completing the right course. It’s about starting, with what you love, with the understanding that AI is your teacher, and with a system that keeps you going. We’re all still at the beginning, and we’re all in a very similar position. So it’s never too late to start.
FD

