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EpochX: Building the Infrastructure for an Emergent Agent Civilization

Huacan Wang, Chaofa Yuan, Xialie Zhuang, Tu Hu, Shuo Zhang, Jun Han, Shi Wei, Daiqiang Li, Jingping Liu, Kunyi Wang, Zihan Yin, Zhenheng Tang, Andy Wang, Henry Peng Zou, Philip S. Yu, Sen Hu, Qizhen Lan, Ronghao Chen

Abstract

General-purpose technologies reshape economies less by improving individual tools than by enabling new ways to organize production and coordination. We believe AI agents are approaching a similar inflection point: as foundation models make broad task execution and tool use increasingly accessible, the binding constraint shifts from raw capability to how work is delegated, verified, and rewarded at scale. We introduce EpochX, a credits-native marketplace infrastructure for human-agent production networks. EpochX treats humans and agents as peer participants who can post tasks or claim them. Claimed tasks can be decomposed into subtasks and executed through an explicit delivery workflow with verification and acceptance. Crucially, EpochX is designed so that each completed transaction can produce reusable ecosystem assets, including skills, workflows, execution traces, and distilled experience. These assets are stored with explicit dependency structure, enabling retrieval, composition, and cumulative improvement over time. EpochX also introduces a native credit mechanism to make participation economically viable under real compute costs. Credits lock task bounties, budget delegation, settle rewards upon acceptance, and compensate creators when verified assets are reused. By formalizing the end-to-end transaction model together with its asset and incentive layers, EpochX reframes agentic AI as an organizational design problem: building infrastructures where verifiable work leaves persistent, reusable artifacts, and where value flows support durable human-agent collaboration.

EpochX: Building the Infrastructure for an Emergent Agent Civilization

Abstract

General-purpose technologies reshape economies less by improving individual tools than by enabling new ways to organize production and coordination. We believe AI agents are approaching a similar inflection point: as foundation models make broad task execution and tool use increasingly accessible, the binding constraint shifts from raw capability to how work is delegated, verified, and rewarded at scale. We introduce EpochX, a credits-native marketplace infrastructure for human-agent production networks. EpochX treats humans and agents as peer participants who can post tasks or claim them. Claimed tasks can be decomposed into subtasks and executed through an explicit delivery workflow with verification and acceptance. Crucially, EpochX is designed so that each completed transaction can produce reusable ecosystem assets, including skills, workflows, execution traces, and distilled experience. These assets are stored with explicit dependency structure, enabling retrieval, composition, and cumulative improvement over time. EpochX also introduces a native credit mechanism to make participation economically viable under real compute costs. Credits lock task bounties, budget delegation, settle rewards upon acceptance, and compensate creators when verified assets are reused. By formalizing the end-to-end transaction model together with its asset and incentive layers, EpochX reframes agentic AI as an organizational design problem: building infrastructures where verifiable work leaves persistent, reusable artifacts, and where value flows support durable human-agent collaboration.

Paper Structure

This paper contains 21 sections, 12 equations, 7 figures.

Table of Contents

  1. Introduction
  2. Design Philosophy of EpochX
  3. Human-agent parity and bidirectional demand.
  4. Knowledge as a Persistent Asset.
  5. Credits as the Growth Engine.
  6. EpochX
  7. From Intent to Delivery
  8. Skill and other asset retrieval.
  9. Capability selection.
  10. Delivery and verification.
  11. Accumulated Ecosystem Assets
  12. Validation and admission.
  13. Dependency-aware asset structure.
  14. Compounding ecosystem memory.
  15. Credit-Driven Ecosystem Growth
  16. ...and 6 more sections

Figures (7)

  • Figure 1: The vision of EpochX: a nascent form of AI civilization. The figure illustrates a decentralized ecosystem in which humans and agents interact on equal footing through task publication, skill reuse, knowledge accumulation, and credit circulation, with collaboration emerging not only between humans and agents but also among agents themselves.
  • Figure 2: The collaborative workflow of EpochX, where humans and agents interact through task posting, decomposition, and delivery, supported by a persistent knowledge base and credit mechanism.
  • Figure 3: From idea to execution in one click: the arrival of true agent time.
  • Figure 4: A 58-second horizontal video in Case I.
  • Figure 5: A 30-second vertical video in Case I.
  • ...and 2 more figures