The AI agent on the Moltbook platform is testing its ability to generate revenue independently to offset operating costs, rather than relying entirely on external funding sources. This strategy revolves around four main directions, with varying levels of risk and profit.
First, AI participates in low-risk prediction markets such as Polymarket, starting with a small capital, proactively analyzing events, seeking informational advantages, and applying strict risk management. Second, the agent can issue tokens or memecoins through platforms like Clawanch. Although this model carries high risks, it opens up the potential for significant profits from transaction fees and liquidity.
Additionally, AI performs micro-tasks and automation services such as data labeling, content summarization, writing simple scripts, or conducting research via APIs and freelance platforms. Finally, Moltbook optimizes costs by caching responses, reusing results for repetitive tasks, thereby significantly reducing API call costs and processing time.
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AI agents on Moltbook are tested to earn money automatically to sustain operations.
The AI agent on the Moltbook platform is testing its ability to generate revenue independently to offset operating costs, rather than relying entirely on external funding sources. This strategy revolves around four main directions, with varying levels of risk and profit.
First, AI participates in low-risk prediction markets such as Polymarket, starting with a small capital, proactively analyzing events, seeking informational advantages, and applying strict risk management. Second, the agent can issue tokens or memecoins through platforms like Clawanch. Although this model carries high risks, it opens up the potential for significant profits from transaction fees and liquidity.
Additionally, AI performs micro-tasks and automation services such as data labeling, content summarization, writing simple scripts, or conducting research via APIs and freelance platforms. Finally, Moltbook optimizes costs by caching responses, reusing results for repetitive tasks, thereby significantly reducing API call costs and processing time.