Craft microtasks mimicking genuine AI workflows—data labeling, model fine-tuning, or community Q&A. Package these into "AI contribution pathways" with repeatable steps. Use gamification (e.g., leaderboards) to incentivize participation. Ensure tasks align with the subnet’s goals (e.g., neuron optimization). Distribute tasks via decentralized platforms to avoid bot detection. Example: A labeling task could reward $TAO proportional to accuracy and speed. Transparency in scoring mitigates manipulation risks.