After a decade in tech, I’m going deeper into AI

After a decade of working in tech, I’ve found something I want to spend a lot more time understanding: AI.

I’m interested in how it works, what makes it useful, and how to build with it thoughtfully. That curiosity keeps pulling me toward the fundamentals. I want to be able to follow an idea, question it, and understand the decisions behind it.

So I’m making a deliberate effort to move my learning, and eventually more of my work, in that direction.

Starting with the gaps

I don’t have a degree, and my maths foundations need work. Going deeper into AI means being honest about both of those things.

A decade of building software gives me experience I can draw on. It also leaves plenty of room for subjects I haven’t studied properly. I expect to encounter ideas that take a few attempts to understand, and moments when I need to go back and learn something more basic first.

I want to work through that. When a gap shows up, I’ll try to understand what’s missing and spend time on it. Some days, that might mean building a small experiment. Other days, it might mean working through a piece of maths slowly until it starts to make sense.

AI interests me enough to make that effort feel worthwhile.

Why now

AI keeps coming up in conversations about the tools we use, the products we build, and the way we work. There’s a lot to take in, and I see this as a good opportunity to understand it better.

I’m still figuring out exactly where this will lead. For now, I have a direction I’m curious about and a reason to give it sustained attention.

Getting ready for #100DaysOfLearningAI

I’m starting #100DaysOfLearningAI soon.

Before Day 1, I’m gathering some context and putting together a broad agenda for the hundred days. I want a sensible starting point and an order that helps the ideas build on each other. I’ll share that plan once I’ve worked it out.

Then, each day, I’ll write about what I learned and try to explain it in my own words, as clearly as I can. A post might include:

• The question I was trying to answer.
• An idea or experiment I spent time with.
• What I understood well enough to explain.
• What’s still unclear and needs another look.

I want the notes to reflect my actual understanding, including the parts that are still taking shape.

A reason to show up

Writing publicly is part of the commitment.

Having a post to write gives each day a little structure. It asks me to pause, make sense of what I’ve spent time on, and put it into words. If I struggle to explain something, that gives me a useful place to return to.

It also makes the promise feel more concrete. I want to build the habit of showing up every day, and a public record gives me a sense of responsibility to keep going. Even a small, honest learning note is a reason to sit down and do the work.

The series page will bring those notes together in day order. For now, the next step is finishing the agenda. Then it’s one day, one lesson, and one post at a time.