Remote work is increasingly becoming a significant part of the economy, transforming the work dynamic between employers and employees into more of an agency relationship. The growing gig economy further intensifies agency risks, especially moral hazard due to information asymmetry. One such issue is the double spending of time, where an agent submits invoices to multiple and unrelated principals for the same time period—effectively a form of contract cheating. This introduces risks of IP loss and sub-optimal solutions. We enhance the common agent model to incorporate the time domain and describe conditions under which contract cheating can occur or improve the Nash equilibrium. We then propose a blockchain-based algorithmic solution—PauliChain—to address this problem. Our approach adapts double-spending prevention in cryptocurrency to remote knowledge work, allowing principals to verify exclusive time allocation across distributed work environments.