Allocation Model

To ensure a healthy token supply and avoid over-inflation, Taekoff implements a capped allocation strategy:

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Predefined Token Pool for Courses

Each course is assigned a specific allocation of $TKOFF tokens. Once the allocation is exhausted, learners can still complete the course but will not receive additional token rewards, promoting timely engagement.

Adaptive Distribution

The platform uses dynamic algorithms to adjust token rewards based on course popularity, difficulty, and learner engagement. This adaptive approach maintains equitable distribution and platform growth.

Seasonal Rebalancing

Taekoff conducts quarterly evaluations of token allocations, redistributing unclaimed tokens to high-demand courses and rewarding active participants through platform-wide events.

Anti-Exploitation Mechanisms

The system includes anti-bot and anti-exploit measures to prevent gaming of the learn-to-earn model. Only genuine, verified progress is eligible for token rewards.