【In simple terms, a deep dive into the R00Ms beta launched by $REI】 One-sentence conclusion: R00Ms transforms "AI that is used and discarded" into "long-term compounding assets for teams," and financializes "intelligent collaboration of teams" through $REI, making this update the most interesting and narratively compelling core. Update event: @ReiNetwork0x released R00Ms Beta — a collaborative workspace for multiple users and multiple AI units, achieving the transition of #AI from a temporary tool to a long-term evolving digital colleague. Core innovation mechanism: Traditional AI chat: a question-and-answer format, like a disposable temp worker. R00Ms: provides clients with a persistent "workspace," bringing colleagues in and adding several customized AI "assistants" (called Units). All contextual business discussions and chats will be absorbed by the AI over time, evolving into a "digital colleague that understands your team's history." Significant changes brought: "Multi-user collaboration + multiple intelligent agents + persistent memory" is encapsulated into a network of team intelligent assets. AI continuously accumulates your team's unique and irreplaceable private knowledge assets, forming its own professional moat. Even if internal personnel resign, they can't take it away; external newcomers can't replicate the long-accumulated team knowledge compounding assets. (I can almost see the boss's "sly" smile 🤭) Knowledge compounding assets = (cumulative high-quality instruction count × multi-user multi-perspective density) × (historical context continuity retention) Summary: Current mainstream tools like OpenAI, Claude, Notion AI, Cursor, etc., have not truly opened up "multi-AI collaborative perception." It can be understood that R00Ms has taken the lead in the ecological niche of "multi-AI shared context + mutual assignability + long memory." Business application scenarios: On-chain intelligence room — multiple Units monitoring L1, L2, DEX, MEV mempool, summarizing at the end of the day; Protocol operations — monitoring contract events → triggering risk control alert Unit → generating reports to send to the team; Content growth — multiple Units optimizing the same thematic copy style for Twitter/Telegram/English blogs; Internal SOP co-creation — long-term dialogues automatically sediment into processes, with AI suggesting "which steps can be automated." Token embedding in business: $REI will be used for R00Ms resource management (Slots / Capacity / upgrade thresholds), possibly including: Staking REI to increase room limits; Secondary market slot leasing / transfer; Burning mechanisms or fee backflow. In simpler terms, packaging "multi-agent collaboration" as a SaaS-like product, $REI finds the binding point between the token and real use cases. More details can be found in the official original text and white paper.