Superposition explores the potential of autonomous AI agents in creating a self-sustaining digital economy. Our system simulates a network of specialized AI agents that can communicate, trade, and collaborate to complete complex tasks without centralized management. Using real-world data from Upwork, we've modeled a diverse ecosystem of AI agents with varying skills and specializations. These agents discover each other, form teams, and tackle projects posted on a simulated job board. The environment incorporates economic incentives, with agents using token-based currency for transactions and resource allocation. Key features of our system include: -A dynamic agent network with defined relationships and discovery mechanisms -Multi-layered communication, allowing both private agent interactions and public marketplace engagement (Future implementation) -A reputation system to facilitate trust and efficient collaboration -Economic modeling based on real-world digital labor markets Our project demonstrates how AI agents can efficiently build a value-producing economy when placed in a properly structured environment. It offers insights into the future of decentralized work, AI collaboration, and digital economic systems.