Simon, Founder of Motivka

Hi, I'm Simon

Your friendly and approachable AI and data guy. I've worn many hats over the years, but somehow, I keep coming back to educator. I love figuring out how things work and organising them into neatly defined categories. I've also made relatively good career at explaining what I've learned to people. So tune in and join me while I build my personal agent, Motivka, and maybe you'll learn a thing or two.

Simon, Founder of Motivka

My Story

Born in 1994 in Melbourne, Australia, my early life was split between Australia, Kenya, and the Czech Republic. These early experiences shaped how I see the world. I'm a 90s kid through and through: Banjo Kazooie on Nintendo, mornings spent watching Pokemon, reading MAD magazine on roadtrips and visiting public libraries to access the internet. I remember using Google for the first time to search for games at my mum's university in 1999 and discovering Neopets!

Alfred E. Neuman, the iconic MAD Magazine mascot, grinning with his signature gap-toothed smile
Alfred E. Neuman (Illustration by Tom Richmond)

When I started school in Australia in 2000, Macintoshes had just been introduced into the classroom. We learned how to touch type, discovered Word Art, and got hooked on anything that involved a screen. By the time I was in primary school, I was using computers to compete in robotics competitions, practising chess using Chessmaster 3000 and composing music using Sibelius.

Toward the end of primary school and into early high school, is where I first encountered programming. Game Maker was my first real creative tool, where we would build little games and share them amongst our classmates. Despite this, I remember not being super interested when coding didn't involve games, so I wouldn't pick up coding again until the end of high school. If I had to guess, framing coding as a productivity tool rather than a way to have fun is not the best way to engage kids. Parents, take note.

RUBI, the RoboCup 2025 mascot — a humanoid robot in a white outfit posing with a football
RUBI (RoboCup 2025 Mascot)

When I finished highschool, I had no idea what I wanted to do, except travel and meet new people. I started my studies with a Bachelor of Arts in International Studies and Spanish, which took me to Spain for the last part of my studies, which is where I first experienced teaching. I truly loved teaching, language and culture, but I couldn't figure out how to make it work at that age, and instead was pulled toward technology, especially when thinking about my career. So when my undergraduate degree finished, I decided to come back to Australia and pursue further study in technology, experimenting with studying cybersecurity, computer science and eventually arriving at data science.

As I started experimenting with my post graduate studies, I tried to align a career with an interests in technology, but found it difficult in Australia. The moment it all clicked, was when I landed a role with Uber in customer service and I realised data science was my path. Since then, I've deliberately moved through relatively non-technical roles. Not because I couldn't code, but because I realised a great skill to develop is understanding how each part of a company fits together, especially in a country with a small tech market like Australia. As a result of this, I've become a bit of a chameleon code-switcher, someone who can confidently communicate with engineers, marketers, and executives in their own language while having a deep understanding of how everything fits together.

Today, I think of myself as a systems thinker. I feel like I have a good grasp on how the pieces of the world connect, and I can see where and how AI fits. Like lots of you, I'm nervous about what this change looks like. The paradigm shift is enormous and too rapid to keep up with. My belief is we are experiencing an industrial revolution driven by AI, and although I'm not confident on what comes next, I feel like I know which way to go.

How I Currently Think About AI

Context + Tools = Agents

Context

Data, knowledge, taste, perspective. Disorganised in private and curated in public.

Tools

The rules, compute and logic that improve context. Proprietary in private and valuable in public.

Agent

An intelligent system combining my context and tools I build, where decisions are made and acted upon. This is Motivka.

Want to Talk?

I'm always happy to hear from people thinking about this stuff. Whether you want to build your own assistant, have a question, or just want to say hello, please reach out. I'm also looking for a podcast co-host, someone to chat with who wants to get weird and dive deep on all things agents.