Problems cover math, science, logic, language and reasoning. Different types of problems work different parts of your mind. When designing them, we keep several things in mind.
Original problems
All problems are original and solvable with pen, paper, and general knowledge. Every answer comes with full working so you can see exactly where your reasoning went right or wrong.
Built around insight and creativity
Reasoning problems are built around an insight. We set the problem up to create a moment where something clicks.
Language problems are built around creativity. We layer them to support the flow.
There's rarely one way in
Problems are designed to be approachable from multiple angles. People often reach the same answer by completely different routes, which is exactly why the discussion afterward is so good.
Knowing things helps, but it's never required
Every problem is solvable through reasoning and creativity alone. If you happen to know a relevant formula or fact, it might get you there faster. Reasoning is the route in, whatever your background.
The one way we ignore adult learning research
Adult learning research shapes how these problems are built: practical rather than abstract, calibrated to general intelligence rather than specialist expertise, hard enough to stretch you without being overwhelming.
The one exception is the assumption that you're learning something for a reason: a skill, a qualification, a job. That framing has its place.
But AI has made it easier than ever to focus on output, on producing things, achieving things, optimising things. Obviously that's amazing. But it's also crowding out the idea that using your mind has value on its own, regardless of what it produces.
Mind Club is explicitly the space where you will use your mind simply because using your mind is good for you.