FAQ

Why exactly ten people? Because the goal is complementarity, not a leaderboard. Ten lets us form a balanced set of strategic, technical, and product mindsets without redundancy. You will learn why soon.

Is the AI “final”? The model is fixed per stage to ensure fairness. We may update between stages with a public changelog.

Can I appeal my score? You can request a re-run if you believe there was a system error. Discretionary reviews focus on integrity, not subjective preferences.

Will the code be open-sourced? Core on-chain components will be published. Proprietary scoring internals are summarized and audited; we provide rubrics and examples to ensure clarity without enabling gaming.

How are airdrops calculated? Each stage has a published pool and per-participant allocation formula tied to advancement and, in later stages, to composite score percentiles.