Product: Agent Workstation

🔎What is AI Agent?

AI Agent is a system or program that is capable of autonomously performing tasks on behalf of a user with minimal human intervention. It encompasses a wide range of functionalities beyond natural language processing including decision-making, problem-solving, interacting with external environments and executing actions.

🔎What is AI Agent Workstation?

Agent Workstation is the flagship product at the outset of Earos (W1), primarily used for training decentralized AI Agents. It is made up of globally distributed nodes, each independently running Earos' self-developed large model for AI Agent data pre-training and validation, laying the groundwork for building a digital Earth moderated by AI Agents in latter phases.

To allow more users to engage in AI Agent training, Earos creates a client application for users to participate and earn by supporting decentralized AI Agent validation. In this phase, supporting AI Agent requires minimal hardware requirements. Instead, the focus is on multi-node verification of architectural data and building a decentralized network, which will allow users to run the client on their personal computers once they get the licenses.Also, we offer custody services to help regular users access the AI Agent system of Earos where users can delegate their Agent Workstation licenses to the platform for workstation operation.

🔎How to Run Agent Workstation?

Before running an Agent Workstation, a participant needs to buy a license. By purchasing the license, the participant can receive EOS, the native token of the Earos ecosystem as rewards

There are 2 ways to run an Agent Workstation:

1. The user entrusts and delegates his Agent Workstation license to the platform for execution.

2. The user downloads the client to run the program by himself. Please note that this process only works in an Internet-enabled environment. Any disconnection of the network will lead to the loss of rewards. (Coming soon)

The AW cloud hosting does not rely on standalone physical chip clusters; instead, it partners with leading cloud providers to create a reliable computing network as foundation. This architecture ensures efficient and stable operation of the initial network while laying the groundwork for future distributed scalability.

As the workstation progresses, AW aims to develop a more decentralized computing network where user will be able to run the AW program on their own devices (PC included),contributing computing resources to the network and earning incentive rewards in return. This model seeks to lower barriers for users and gradually establish a globally collaborative distributed AI computing ecosystem.

🔎License Price of Agent Workstation

Note: After the break-even point, there is a daily reduction of 1.5%, while the supply efficiency will drop by 2% to 5% in each period.

🔎Referral Rewards

Notes:

1. Referring Agent Workstation to a friend will speed up the release of EOS, with the multiplier based on the initial amount of user's EOS. EOS will be burned if there's no product during the breaking even period.

2. Referral rewards are only valid when the user is active while the user with 2 valid referrals is eligible for indirect referral rewards.