If artificial intelligence can increasingly do the thinking for us, a more important question emerges: what kind of thinking do we still need to practice as humans, and especially as leaders?
That question has been sitting with me for a while. AI is accelerating analysis, synthesis, and production at a remarkable pace. What it does not do for us is decide what matters. Making sense of signals, trade-offs, and implications is still very much a human responsibility.
That is the lens through which I approached Algo Deck.
I first noticed Algo Deck mentioned in a newsletter by my friend Stephen Anderson. It immediately caught my attention, not because it promised to teach coding, but because it positioned itself as a way to explore mental models, algorithms, and data structures in a more approachable, tangible form.
At a time when many of us are trying to keep up with fast-moving technology through courses, books, and articles, I found the premise refreshing. A small, physical deck of cards felt like a deliberate slowdown. Something you could pick up, explore non-linearly, and return to when needed.
What Algo Deck is
Algo Deck is a pocket-sized deck of 54 cards, each covering a concept drawn from computer science, mathematics, or science. You will find cards on topics such as algorithms, data structures, and commonly used technical concepts that increasingly show up in everyday conversations about technology and AI.
Each card has two sides:
The writing is intentionally accessible. These are not dense academic definitions. The goal is to give you a usable mental model you can grasp quickly, not to turn you into a computer scientist overnight.
Why cards, not a book
The format is not a gimmick. Cards change how you engage with information.
Unlike a book, Algo Deck does not assume a linear reading path. You can:
For me, this makes Algo Deck a strong complement to more traditional learning materials. It fits naturally into short gaps of time and supports exploratory learning rather than demanding long, focused study sessions.
There is no single “correct” way to use the deck. Some practical ways it fits into real work include:
What stood out to me is how the combination of short explanations and visuals helps with retention. Seeing a concept, reading a short explanation, and connecting the two makes it easier to remember later when the term reappears in a meeting or discussion.
A quick example
Two cards I highlighted in my review were Neural Network and Encoding.
Rather than diving into technical depth, the cards explain these ideas in plain language. A neural network is described through the problem it tries to solve and the idea of learning through examples. Encoding is framed as the challenge of representing information efficiently using limited symbols.
You are not expected to implement anything after reading the card. Instead, you walk away with a clearer picture of what the concept is about and why it exists. The illustrations reinforce that understanding and make the ideas easier to recall.
Algo Deck is not for everyone, and that is a good thing.
It is likely to resonate with:
If you are looking for step-by-step tutorials, ready-made frameworks, or deep technical instruction, this deck will probably feel too light. If, however, you value quick, visual, digestible explanations that help you stay oriented in a technical world, it fits nicely into a personal learning toolkit.
Final thoughts
Algo Deck does not promise transformation. It does something more modest and, in many ways, more useful.
It helps you:
In an environment where information is abundant and AI can generate answers instantly, tools that support sense-making rather than speed are increasingly valuable. Algo Deck is one of those tools.
If you are on a similar journey of continuous learning and sense-making, it is a thoughtful addition to the mix.