Missions
Whatever you’re learning for.
Start from why.
Each mission is a starting question that sets your goal. The route, examples and depth are planned around it.
01
Interview prep
System design, algorithms and ML fundamentals, practised until you can explain them out loud under pressure.
Who it’s for. Engineers heading into technical interviews.
What a quest looks like. A route through the idea the interviewer will probe, a lab for each part, and checks on cases you haven’t seen.
02
Exam prep
The hardest topics on your syllabus, rebuilt from first principles.
Who it’s for. Students facing an exam on a topic that won’t click.
What a quest looks like. The topic rebuilt from the ground up, with experiments that show why each rule holds, then fresh problems to check yourself.
03
Paper reading
Bring an arXiv paper or a talk. Get a route through its key results, grounded in what the authors wrote.
Who it’s for. Anyone reading papers to keep up, especially in AI.
What a quest looks like. A route through the paper’s key results, with the authors’ own settings in the labs.
04
Apply it at work
Turn an idea into a decision you can defend.
Who it’s for. People who need to decide, not just understand.
What a quest looks like. The idea, the trade-offs as experiments you can push on, and a decision you can explain to your team.
05
Open horizon
Follow your curiosity anywhere.
Who it’s for. The curious, with no exam and no deadline.
What a quest looks like. Wherever the question leads, one experiment at a time.
Next for missions
- Coming soonExam-date countdown and pacing
- Coming soonGap Scan: find what you don’t know first
- Coming soonA readiness view before the big day
- Coming soonMission passes: Interview Sprint and Exam Sprint