Overview
The game is open-ended and rewards learning more than strict optimization.
How it works
The game is open-ended and rewards learning more than strict optimization. Small routine improvements accumulate over a whole season.
Practical advice
Choose one main objective and leave buffer time for accidental finds.
Mistakes to avoid
Do not treat the first year as a mandatory speedrun.