Governance for Social Organizations
Last updated
Last updated
Social organization governance is an important but complex issue that, due to inherent contradictions in their operating models, traditional centralized social platforms cannot resolve on their own. By decentralizing social platforms, standardizing governance protocols for social organizations, and employing additional off-chain mechanisms, we return governing power to users. Although blockchain technology sees continued development and more DAO use cases emerge, traditional DAO mechanisms remain idealistic and impractical for real-world social organizations; they are costly to implement, limited in function, inefficient, and inflexible.
In order to build a Sovereign DAO, we focus on a DAO's application to real-world social scenarios, permitting a refined and improved understanding where governance is not only based on smart contracts but enhanced by AI Agents, human input, and DApps for added intelligence, functionality, controllability, flexibility, and efficiency. Its modularity allows better governance through multiple on-chain and off-chain mechanisms and can easily be configured via social scenario-based templates.
To provide transparency and build trust, our protocols also introduce a Governance Bulletin to visibly display understandable organizational information, statistics, and rules without requiring users to understand smart contract code.
To implement a that enhances the self-governing capabilities of while addressing the limitations of traditional DAOs, we introduce a comprehensive framework incorporating smart contracts, AI-driven decision making, human intervention, and DApp controls. This implementation ensures that an organization can operate autonomously while remaining responsive to a complex social environment. The key components of governance are outlined below:
Smart Contracts: Smart Contracts form the backbone of any DAO, automating the execution of certain decisions and actions based on coded rules and conditions.
AI Agents: Generative AI facilitates governance by interacting with users in natural language, making decisions based on comprehensive data analysis, and ensuring fairness by minimizing human biases. AI Agents are always online and therefore can manage with efficiency and accuracy. AI Agents are configured to:
Offer decision-making recommendations;
Predict and optimize outcomes of certain decisions;
Moderate discussions by providing data-driven insights.
Human Oversight: We introduce mechanisms that allow human intervention, particularly for decisions that require ethical considerations, complex judgments, or are outside an AI's decision-making capacity. These intervention mechanisms include:
A council or committee of select members with the authority to override or revise AI recommendations based on human values or social norms;
Mechanisms to guarantee a proposal's execution after voting;
Emergency intervention protocols for critical situations.
Encoding the governance model and rules on smart contracts;
Configuring guidelines for AI agents to make decisions and interact with humans;
Specifying DApp behavior and its alignment with a DAO's goals and values;
Setting clear rules for member admission, participation, and exit that reflect an organization's principles or other operational policies.
Our protocols focus on modular governance for social organizations, allowing all organizations to configure their own governance rules in accordance with the needs of their specific social scenarios. Some governance modules may not be applicable to certain social scenarios, so a social organization may choose not to configure those specific modules. Our governance templates are adaptable to each social interaction or social scenario, and end users can further configure content within the template they use.
Our protocols design a data model to represent each module in the above structure. Smart contracts, DApps, AI Agents, and human beings can execute processes following this data model. The data model consists of multiple parts:
version
integer
The version of the protocol
consensusPolicy
dictionary
administration
dictionary
guidelines
array
revenueSource
dictionary
revenueDistribution
array
admissionPolicy
dictionary
exitPolicy
dictionary
The central mechanism behind any social organization is how a consensus on governance changes is reached. Since social organizations can grow and evolve, they must have a way to change their consensus mechanisms, although it is possible that an update to the governance structure may include the stipulation that the consensus mechanism may no longer be changed. As the consensus mechanism determines the method of making changes to the governance structure, it is the most fundamental mechanism in any social organization. The social consensus mechanisms in our protocol include the following:
Consensus Mode: Refers to the voting rules within an organization.
1001
Proof of Authority (PoA)
Decisions are made by a single member.
2001
Proof of Membership (PoM)
Each member has one vote, as well as veto rights. A consensus is required for approval.
3001
Proof of Stake (PoS)
Voting power depends on the amount of staked assets. When a user stakes assets in a social organization, his or her voting rights are determined by the amount of staked assets and the future term of those staked assets. This avoids a large, short-term purchase being used to monopolize voting rights.
4001
Delegated Proof of Stake (DPoS)
Users can delegate their voting power to elected representatives, who then may vote on their behalf.
5001
Proof of Reputation (PoR)
Voting power depends on the amount of reputation amassed, for example, likes or thumbs-ups.
6001
Proof of Contribution (PoC)
Voting power depends on contributions made to the social organization, for example, donations.
Vote Quorum: Can select 50%, 75%, 100%, etc.
Threshold for a Pass Vote: Can select 50%, 2/3, 75%, or 100%. If 100%, a unanimous vote is required.
Veto Rights: Do any members have veto rights, and if so, who?
Vote Duration: Can select one day, one week, two weeks, one month, etc.
Voting Rounds: Can select one round, two rounds, or multiple rounds.
votingMode
integer
ID of the chosen voting mode
quorum
number
Quorum needed. 30 means 30%
passingThreshold
integer
Percentage
vetoRightsMembers
array
Members who have veto rights
votingDuration
string
In ISO 8601 format
votingRounds
integer
The number of rounds required
Voting Lifecycle: A draft motion proposed by a member of an organization only becomes an eligible motion after certain conditions are met, after which it is voted on. After voting closes, the motion is determined to have carried or have failed. Motions that have either failed or have been abandoned during the process may be revived and voted on again, assuming agreed revival conditions are met.
Social organizations are able to modify their governing rights structure following this unified protocol, as well as independently modify such mechanisms governing individual matters therein. The initial governance protocols of any social organization are determined by the default values given by the template chosen.
Although protocols governing voting rights can determine a large portion of an organization's mission, including community culture, content and behavioral guidelines, profit models, and revenue distribution mechanisms, the human touch, something that cannot be automated by smart contracts, cannot be overlooked. Therefore, when it fits the social scenario, we introduce administration whose responsibility it is to manage the community, make sure rules are being followed, ensure that content does not violate the agreed guidelines, and organize activities. The administrator may not always be explicitly named; for example, in a social scenario with only two parties, both parties are implicit administrators.
In our data model, the administration is given by these fields:
qualification
dictionary
electionTerms
dictionary
adminList
array
Administrators may need to meet certain thresholds to qualify for an administrative role:
Ability and Experience: Administrators may need to have experience in a related field or hold a related professional license.
Staked Interest: Administrators must meet the threshold for held governance rights, for example hold 10% or more of total staked assets. If an administrator falls below this threshold, their administrative rights will be frozen until they meet the requirements again.
Exact qualification requirements are determined by the social organization. An election of administrators will check that a potential administrator fulfills these requirements, otherwise they will be unable to be set as an administrator.
The corresponding fields are:
certificates
string
We provide multiple certificate options that can be combined with a logical AND/OR
experience
string
ISO 8601
minStake
integer
Percentage of the minimum stake required
Rules for administrative elections are determined by the social organization's governance rules. The following can be included as needed:
The administrative term length, which also defines the election schedule;
Whether current administrators can stand for reelection, and how many times may they be reelected;
Certain administrative qualifications (as outlined in the above section);
Process for resignation;
Process for removal;
Candidate selection process;
Voting rights; including quorum rules, pass threshold, veto power, etc.
The corresponding fields are:
tenure
string
ISO 8601 format
consecutiveTerms
integer
The number of consecutive terms allowed. 1 means only 1 term is allowed. -1 means no limits.
resignProcess
string
We provide multiple templates from which you may choose. The field points to the name of the template.
recallProcess
string
We provide multiple templates from which you may choose. The field points to the name of the template.
recommendProcess
string
We provide multiple templates from which you may choose. The field points to the name of the template.
electProcess
string
We provide multiple templates from which you may choose. The field points to the name of the template.
In a complex social organization where the administration includes multiple parties and a division of rights and responsibilities, the management team information is stored in an array called adminList, whose elements contain these fields:
address
string
Wallet address
seis
array
vetoRight
boolean
Indicates whether this admin can veto a vote
role
string
The name of the role
A role can represent a certain division of rights and responsibilities and can be simultaneously held by multiple parties. The following are some common roles:
Committee
A member of the committee responsible for making decisions on designated organizational affairs
Coordinator
Responsible for coordinating the work of others
Editor
Responsible for content management
Event Manager
Responsible for organizing events
BD
Responsible for external matters
A social organization's culture refers to the values, beliefs, behavioral norms, expectations, goals, and communication styles that are shared within that organization. Culture varies widely between organizations, and each organization develops its culture independently.
Core elements of organizational culture include:
Values and Beliefs: The cornerstone of a social organization's culture that guides member behavior and decision-making processes, thereby influencing an organization's goals, priorities, and interactions within and outside of the organization.
Communication Style: The way members communicate within a social organization, including language choice, social etiquette, and channels for expressing opinions. Good communication methods help enhance the cohesion and efficiency of an organization.
Code of Conduct: The rules and standards for behavior by which members are expected to abide. The Code of Conduct helps an organization ensure a safe, respectful, and inclusive environment.
Rituals and Traditions: Group identity is partly built upon shared rituals and traditions. Through such activities, connections among members and organizational culture strengthen.
Sense of Belonging & Identity: A social organization's culture provides a sense of belonging that allows members to feel that they are part of that organization. This sense of identity comes from shared experiences, values, and goals.
Organizational culture is critical to maintaining community stability and growth. A strong and positive organizational culture inspires member engagement, fosters innovation, and increases overall member happiness. Conversely, a weakened or negative organizational culture may lead to conflict, member turnover, or deviation from the membership's original goals. Therefore, understanding and shaping organizational culture is an important part of any community management effort.
Our protocols allow machine learning algorithms to apply sentiment analysis and cultural alignment algorithms to assess if the communicated values, beliefs, and codes of conduct are positively reflected in internal communications and behaviors. An AI-driven feedback mechanism allows members to provide input or express concerns regarding organizational culture and codes of conduct. This feedback can be analyzed to identify areas for improvement.
An organization's culture and codes of conduct are represented by the guidelines field. It is an array of customizable label-content pairs that should contain, at minimum, the content mentioned above.
The importance of an organization's profit model and earned revenue cannot be understated. Revenue sources, supplier selection, and income model configurations should be consistent with an organization's culture and should be outlined clearly in its governance protocols and documentation. In our protocols, a source of revenue generates income independently of other factors, and any revenue stream can be configured with multiple revenue models and revenue sources. Business transactions can be carried out between social organizations, and the expenses of one social organization can be the income of another social organization.
Revenue Streams:
101
Staked Assets: An organization may choose from a variety of methods to earn income from those assets. If governance rights are derived from staked assets, the amount of staked assets and the length of the future lock-in period will determine the governance voting rights owned.
201
Advertising: Ad providers, ad types, frequency, data sharing, and other models
301
Share of Platform Transaction Fees
401
Membership Fees
501
Product & Service Sales
601
Donations
701
Sponsorship
999
Others
Revenue streams are specified by an array called revenueSource, which is a list of source IDs.
When an organization receives revenue, it is stored in the treasury. This income is then distributed in accordance with the budgeting plan decided on by the organization. Based on the social organization's operating history and future direction, an AI Agent can optimize or propose new distribution schemes. Additional flexibility around revenue distribution can be determined by the administrative team. All income distribution transactions are attached to auditable information for future verification.
Income distribution is mainly concerned with the following:
Organizational Expenses: services or items required for operation;
Staff Salaries;
Activity Funds: Used to organize activities within an organization and with outside agents;
Revenue Sharing: Includes stipulations for calculation methods, amounts, distribution dates, etc.
Example:
Organizational Expenses
10%
Staff Salaries
5%
Activity Funds
10%
Revenue Sharing
75% distributed monthly according to staked assets
The key to building trusted relationships is providing all social organization stakeholders transparency over income and expenses. This is even more important when business activities among social organizations become circular and complex, where one organization's spending becomes another's income. Transactions might range from purchasing services from specialized DAOs to investing in projects spearheaded by other DAOs. When financial transactions between social organizations occur, mechanisms to govern DAO business activities and ensure financial transparency are needed.
We have created multiple templates that outline how smart contracts handle revenue distribution. An organization only needs to specify a templated configuration and provide any additional settings, after which smart contracts will be automatically deployed.
In a traditional DAO, the requirement for admission is purchasing or otherwise obtaining the required governance token, and the exit mechanism is selling or otherwise giving up that same token. We seek to formalize policies surrounding member admission and exit that go beyond simple token transactions.
Joining a social organization may also have entry requirements that are unrelated to tokens or fees, including contributions to the community, alignment with organizational values, or passing a vetting process. Our protocols allow for multiple methods of admission into an organization that do not rely solely on token ownership. Within the Clover protocols, once a user joins a social organization, he or she obtains a Membership NFT of that organization. Whether the Membership NFT can be sold or traded is determined by the social organization's governance.
Possible joining requirements:
1
No Requirement
Anyone may join at any time
2
Invite Only
Must be invited by administrators or other members
3
Paid Membership
Frequency: once, monthly, yearly, etc.
Currency: Crypto, Fiat
4
Staked Assets
Admission requires staking a certain amount of assets
5
Staked NFT
Admission requires staking a certain amount of assets
The admissionPolicy field is a dictionary that, at the moment, consists of only one field: the ID of the admission type listed above.
A social organization should also have sound exit mechanisms. Exiting an organization should be completely voluntary, and exiting users should always be able to have their staked assets returned. Our protocols also allow for certain slashing mechanisms if the exit behavior causes loss to the organization. Where there are undistributed assets upon exit, exit mechanisms will vary according to the specifics of the organization or scenario. Users may exit the organization at any time, but staked assets must be unstaked in accordance with the staking requirements. If a user also holds an administrative role in the social organization, the user first needs to step down from the administrative role before exiting the social organization.
The exitPolicy field consists of fields that indicate the financial relationship with the organization once a member leaves.
membershipFee
number
Unused membership time will be refunded on a pro-rata basis, depending on the membership fee. This field specifies the percentage.
stakedAsset
string
Staked assets will be returned. However, staked assets must be released in accordance with the organizational requirements.
unvestedBenefit
string
The return mechanisms for undistributed income will vary. In some social scenarios, such as those between two people, each member gets one half, but for multi-person scenarios, it can be stipulated that users who exit forfeit any undistributed income.
Each time a change to this protocol is successfully implemented, a new version and version number are generated. Users can see historical versions and track changes from version to version. This field takes only an integer corresponding to the version number.
Although traditional smart contract technology has the capability to execute tasks automatically, it is not flexible enough to cope with complex and ever-changing social governance needs, and its capacity is hindered by limited computational power and a lack of access to off-chain data. This means smart contracts are only able to handle relatively simple and straightforward tasks and lack the ability to manage under complex social governance rules. This issue can be solved with an innovative solution: AI Agents. These AI Agents not only help govern but may also interact with members of the social organization.
AI Agents bring many advantages to social governance, namely:
Natural Language Interaction: AI Agents are able to interact with members of a social organization through natural language, which is more intuitive than computer languages or command-line interactions. Users may also communicate with an AI Agent through their own natural language, meaning they will get help that is more accurate and valuable to their unique situation.
Ensuring Fairness: Governance decisions that take place offline may be affected by human biases. AI Agents, programmed to be objective and fair, can reduce human-introduced bias, provide members of an organization with fairer governance through data-driven, objective decision making, and make profit-related decisions based on agreed governance rules without financial bias.
Preventing Corruption: With human governance, personal interests may overwhelm community interests and breed corruption. AI Agents can reduce corruption that comes from personal emotions or conflicts of interest. As an AI's decision making is based solely on data and underlying algorithms, transparency and objectivity throughout the governance process are ensured.
Efficiency and Totality: An AI Agent has the ability to be online at all times, meaning it can respond to the needs of organization members at any moment. The agent may also be able to access and analyze all data in an organization, giving it a full understanding of any situation and enabling the timely discovery of problems and a harmonious resolution to those problems.
Organizational governance models that introduce AI Agents improve the understanding of governance rules and contracts, ensure fairness, improve transparency, and add efficiency, allowing for a better-governed organization.
Initialization: Initializes the AI Agent according to the social organization's rules and parameters.
Real-time Monitoring: The AI Agent monitors the social organization's activities in real-time, including posts, comments, and user behavior.
Moderation: It evaluates whether any violations have occurred based on the organization's code of conduct.
Automatic Intervention: When detecting violations, the AI Agent will automatically perform corresponding intervention measures according to agreed rules, i.e., deleting content, issuing warnings, giving temporary or permanent bans, etc.
Decision Support: When elections are required, the AI Admin Agent automatically organizes the voting process according to the organization's rules and calculates and publishes the results, ensuring fairness and transparency.
Feedback & Optimization: Feedback from social organization members is collected and used to adjust and optimize the configuration parameters of the AI Agent to better serve the community.
When building an AI Admin Agent to improve social organization governance, the design of each interface is crucial. These interfaces need to handle complex data inputs and meticulously implement governance decisions while providing a smooth user experience.
Rules / Settings
This interface is responsible for the reception of an organization's governance rules and configurations. This includes organizational culture, codes of conduct, election rules, and revenue distribution mechanisms. Through this interface, administrators can easily update the rules and configurations for the AI Agent. This information is then stored in a data format that the AI can parse.
User Management
The AI Agent can evaluate user behavior based on the governance rules of the organization, automatically identify violations, and distribute punishment. The AI Agent can also intervene to resolve disputes between users and propose solutions using natural language. For complex situations, the AI Agent can escalate the problem and its associated data to human management.
Content Management
An AI Admin Agent can use content recognition technology to automate the review of user-generated content and ensure that the content follows the agreed governance rules. If there is illegal content, the AI Agent will implement corresponding intervention measures, such as deleting the content, issuing warnings, or marking the content for manual review.
Task Distribution
Both administrators and users within a social organization need to handle various tasks in order to achieve the goals of the organization. The AI Agent can allocate tasks within the community to appropriate administrators or users by analyzing task type, difficulty, and user skills and preferences, which improves resource efficiency.
Revenue Distribution
The revenue distribution of a social organization is stipulated in the organization's governance agreement. However, some specific implementations of the agreed distribution plan may need to be handled more flexibly. Basing itself upon the organization's agreed rules and using data analysis and machine learning models, the AI Agent analyzes user contribution, activity, and other factors to calculate a reasonable income distribution plan.
Governance Activity Records
A record of all AI-initiated governance activity is stored on the blockchain using cryptographic hashes, ensuring the transparency and immutability of these records.
Data Analysis
The AI Admin Agent gathers key data from vector databases and operation records and provides these to its own decision-making and language-generating modules. Using advanced machine learning algorithms such as cluster analysis, predictive models, and sentiment analysis, the AI Agent is able to understand the dynamics of an organization and identify trends or spot abnormal patterns. These tools support parallel computing, greatly improving data processing speeds and ensuring the timeliness and accuracy of information.
LLM Fine Tune
The AI Agent is trained on large amounts of exclusive data accumulated throughout the social organization to better adapt to the specific needs of an organization. This process aims to improve the model's generative language capabilities so that it can more accurately grasp organizational culture and user behavioral norms. Through deep learning technology, the model adapts to the specific cultural contexts of the organization. During the optimization process, measures will be taken to protect data privacy and ensure the security of user information.
Assessment Reports and Improvement Proposals
The AI Admin Agent can regularly generate evaluation reports covering key indicators of a social organization's governance, such as user activity, content output, user satisfaction, and efficiency reports. The report is presented visually, allowing administrators and relevant stakeholders to understand their organization's key statistics and undertake a proper evaluation of their organization. Based on its own analysis of the generated reports, the AI Agent will also propose improvement or optimization plans for those key indicators. All data contained in such reports is updated in real time.
An organization must be as committed to protecting personal data and privacy as it is to governance efficiency and fairness. Encryption technology and anonymity-ensuring technology, such as homomorphic encryption and differential privacy technology, ensure that an organization's data can be processed to support analysis and improved decision making without compromising personal privacy. Data storage and access to that data must always be encrypted and only decrypted when necessary.
An essential part of governance is an efficient decision-making mechanism. A typical decentralized organization is based on collective decision making, but traditional DAOs lack clear specificity on which matters require such collective decision making and which do not, meaning all decisions go through a lengthy voting process that results in a high level of inefficiency and reduces an organization's governance capability.
We propose a practical solution that specifies which decisions require collective decision making and which can be delegated to AI Agents or handled by administrators or a committee, improving efficiency and response time. In these protocols, we implement a tiered decision-making framework that categorizes organizational affairs based on their impact and complexity, assigning appropriate decision-making mechanisms to each category.
The level of impact a decision or an affair has on an organization is categorized based on attributes like financial impact, strategic importance, urgency, and complexity.
High-Impact Affairs: Affairs that have a long-term effect on the organization's direction, values, and financial standing. Requires collective decision making or organizational consensus.
Medium-Impact Affairs: Affairs that influence operational effectiveness or moderate financial aspects. Suitable for smaller groups or specialized committees.
Low-Impact Affairs: Routine affairs or those with minimal financial implications. Can be delegated to AI agents or handled individually.
Decision Identification: When a decision is needed for an organizational affair, all properties of that affair are identified and documented.
Categorization: An AI agent or an organizational affair classifier categorizes the affair based on organizational rules. Any decision that updates the rules covering affair categorization is considered a high-impact affair and requires organizational consensus.
Review Process: For affairs that do not clearly fit a specific category, a designated committee or automated system reviews their properties and assigns them to a category.
Assignment of Decision-Making Mechanisms: The affair is directed to the appropriate decision-making mechanism (collective, admin/committee, or AI Agents) based on the category to which it has been assigned.
Implementation and Feedback: The decision is implemented, and the outcomes of the decision are monitored. Feedback from those outcomes is used to refine the categorization and decision-making processes.
Governance records are similar to financial transactions and need to be stored on the blockchain. This utilizes the transparency, immutability, and decentralization of blockchain technology to provide organizations or communities with a public, transparent, and secure mechanism for storing governance records.
Since many governance operations are executed off-chain, we use rollups to update the blockchain, making the storage of governance records cost-efficient and achieving a higher throughput. Organization members and third parties can verify the integrity of governance operations using Zero-Knowledge Proof (ZKP) technology.
To implement governance records using ZK Rollups, we follow these steps:
Collect Governance Actions: Aggregate all governance-related actions such as proposals, votes, and decisions that occur within a specific period.
Generate Data Commitment: Combine all governance actions into a single data commitment. This commitment is a cryptographic hash that represents the entire aggregated governance actions and encrypts specific details.
Construct a Zero-Knowledge Proof: Generate a ZK-SNARK Proof for data commitment. This proof validates the action's authenticity and compliance with governance rules without revealing the actual data.
Submit to Blockchain: The data commitment and the ZK-SNARK Proof are then submitted to the blockchain as a ZK Rollup transaction.
This process ensures the integrity and transparency of governance actions while keeping specific details private.
Governing mechanisms visible only via smart contracts are difficult for ordinary users to understand, thus an easily readable bulletin is required. This bulletin should display content in a manner consistent with the actual rules of governance, and a social organization should display this content in an obvious location that is visible upon joining.
What should be included in a Social Organization Governance Bulletin:
Basic information, including name, informative summary, culture, etc.;
Basic statistics, including member count, active members, turnover rate, financial statistics, etc.;
Key information important to the governance of an organization, including:
Administration;
Admission requirements;
Staking requirements;
Revenue streams and revenue distribution.
Organizations may change the following templates to suit their individual needs. The governance protocol of a social organization must include all required modules, although some modules may not be applicable in certain social scenarios.
Applicable Scenarios
Chat between friends, matches on a dating app
Consensus Mode
Proof of Membership. Each member has one vote, as well as veto rights. A consensus is required for approval and is not affected by the size of staked assets.
Administrator Election
Not required
Profit Model
Income garnered from staked assets
Revenue Streams and Distribution
Even 50%-50% split
Admission Requirements
Match or invite only
Exit Mechanisms
Can be exited unilaterally. Staked assets are returned to the staking party, and undistributed income is returned equally.
Applicable Scenarios
Friends group chat, family group
Consensus Mode
Proof of Membership. Every member has one vote, as well as veto rights. A consensus is required for approval and is not affected by the size of staked assets.
Administrator Election
Not required
Profit Model
Income garnered from staked assets
Revenue Streams and Distribution
Distributed according to the proportion of staked assets
Admission Requirements
Invite only
Exit Mechanisms
Can be exited voluntarily or be kicked out unilaterally. The stake will be returned, and any undistributed income will be distributed according to the stake. The remainder is owned by those still in the group.
Applicable Scenarios
Personal accounts, public accounts, live streaming channels
Consensus Mode
Proof of Authority. Governance rights are owned by the brand or individual and are not affected by the size of staked assets.
Administrator Election
Not required
Profit Model
Staked asset income, advertising income, personal or brand income, etc.
Revenue Streams and Distribution
The individual or brand decides how the profits are distributed. They can be used personally, for brand building, or charitable giving, etc.
Remaining portions will be distributed according to the size of staked assets.
Admission Requirements
No requirement
Invite only
Membership fee
Staking requirement
Exit Mechanisms
Can be exited voluntarily or be kicked out unilaterally. The stake will be returned, and any undistributed income will be distributed according to the stake. The remainder is owned by those still in the group.
Applicable Scenarios
For medium- to large-scale interest and lifestyle communities
Consensus Mode
Proof of Stake. Governance rights depend on the size of staked assets.
The administration must hold at least 10% of the staked assets.
Administrator Election
Term duration:
six month
twelve month
Can be reelected indefinitely via a simple majority
Profit Model
Staked assets, advertising
Revenue Streams and Distribution
Community governance determines the distribution of revenue:
Organizational Expenses 10%
Staff Salaries 5%
Activity Funds 10%
Revenue Sharing 75%. Divided based on staked assets
Admission Requirements
No requirements
Invite only
Membership fee
Staking requirement
Exit Mechanisms
Can be exited voluntarily or be kicked out unilaterally. The stake will be returned, and any undistributed income will be distributed according to the stake. The remainder is owned by those still in the group.
DApp Controls: We develop decentralized applications (DApps) that serve specific functions around , member engagement, organization management, and communication. These DApps are governed by the rules set forth by the DAO but offer flexibility in operation.
Governance policies and information are stored on the blockchain. This includes:
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An array of
For on-chain transactions, we designate a collection contract. This contract stipulates that each payment must be bound to auditable information such as the payment party, income reason, income cycle, and more. Please refer to for more details. For traditional off-chain transactions, we provide a method of adaptation that can convert off-chain currencies into tokens acceptable to on-chain beneficiaries, which binds corresponding auditable information to the transaction.
