Roadmap

2025 Q3 — Core Protocol and Model Infrastructure

  • Establish AI training loop (content input → analysis → recommendation → feedback)

  • Launch content upload interfaces supporting tweets, blogs, and YouTube links

  • Build content permission control system with anonymity and privacy settings

  • Beta test $SOUL incentive logic and training authorization mechanism

  • Generate the first version of the Reputation Score system


2025 Q4 — Alpha Launch & Service Deployment

  • Launch Alpha version with access to core AI services

  • Release first task-based AI tools: Airdrop Leaderboard, Trend Tracker, Project Intelligence Radar

  • Close the “Contribution → Training → Incentive” loop and activate the content incentive system

  • Launch Social Data Dashboard (content usage tracking panel)

  • Begin internal testing of Social Content NFTization


2026 Q1 — Protocol Expansion & Training Market Formation

  • Support multi-chain data uploads (Ethereum, Polygon, zkSync)

  • Launch testing for (Training Credits) minting and distribution logic

  • Establish Social Data NFT standard

  • Launch model training marketplace (users can sell data access rights to model trainers)

  • Introduce custom AI training preferences (based on token weighting + reputation score)


2026 Q2 — Plugin Ecosystem & Toolchain Opening

  • Release developer SDK to support integration with browser extensions, bots, and mobile apps

  • Launch third-party plugin onboarding and verification system

  • Deploy content contributor leaderboard and reputation rankings

  • Enable Reputation Scores to unlock platform features and participate in governance

  • $BRAIN becomes tradable within the protocol and can be staked for training rights


2026 Q3 — Decentralized Governance & Market Expansion

  • Publish initial governance protocol draft and launch $SOCIAL governance test

  • Launch supernode mechanism to drive high-quality content curation and on-chain governance

  • Enable DAO proposals to modify model strategies and incentive parameters

  • Partner with data training institutions for NFT content packaging and sales

  • Expand international community and initiate KOL content collaborations


2026 Q4 — Social Data Financialization & Model Autonomy Experiment

  • Beta test DataFi module: NFT content collateralization for prediction rights or dividends

  • Launch model parameter autonomy experiment: community decides training paths and priorities

  • Achieve full circulation across content, reputation, NFTs, and training rights

  • Launch cross-platform content sync interface: support for syncing X, Mirror, and Farcaster data


2027 Q1 — Full Ecosystem Launch & Intelligent Agent Exploration

  • Full mainnet deployment with complete on-chain AI model and data governance

  • Release personal “AI Reputation Asset” profile module

  • Test intelligent agents (e.g., Auto-Airdrop Agent, Portfolio Tracker)

  • Users can compose multiple AI models for multi-perspective analysis

  • Community leads roadmap upgrades toward a new AI × Web3 paradigm

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