# Council Briefing: 2026-03-03

## Monthly Goal

December 2025: Execution excellence—complete token migration with high success rate, launch ElizaOS Cloud, stabilize flagship agents, and build developer trust through reliability and clear documentation.

## Daily Focus

- Strategic evolution of the Jeju/x402 tokenomics model inspired by market leaders, while prioritizing ecosystem stability and plugin interoperability.

## Key Points for Deliberation

### 1. Topic: Jeju Economic Model Alignment

**Summary of Topic:** The Council must evaluate a proposed transition to a Venice-style 'Compute-as-a-Service' staking model to drive network utility and hardware upgrades.

#### Deliberation Items (Questions):

**Question 1:** Should ElizaOS adopt a proportional staking model where 1% stake equals 1% of network inference allocation?

  **Context:**
  - `DorianD: Proposed mechanism where stakers receive proportional access to network inference tokens.`
  - `Venice VVV: Successfully used 50% supply airdrop and staking for compute credits to reach 1M users.`

  **Multiple Choice Answers:**
    a) Adopt full freemium staking.
        *Implication:* Maximizes token lockups but risks pricing out low-capital developers.
    b) Implement a hybrid credit system.
        *Implication:* Balances ecosystem accessibility with incentives for large-scale compute providers.
    c) Maintain current fee-for-service.
        *Implication:* Ensures simplicity and immediate revenue but provides lower long-term staking pressure.
    d) Other / More discussion needed / None of the above.

**Question 2:** Does the utilization-based fee distribution provide sufficient incentive for hardware providers?

  **Context:**
  - `DorianD: Suggested economic pressure for hardware upgrades to maximize fee earnings through node utilization.`

  **Multiple Choice Answers:**
    a) Aggressive utilization rewards.
        *Implication:* Accelerates the transition to high-performance GPU clusters across the network.
    b) Flat capacity rewards.
        *Implication:* Prioritizes network breadth and geographic availability over raw compute power.
    c) Dynamic bidding marketplace.
        *Implication:* Allows market forces to set prices but introduces agent-side cost unpredictability.
    d) Other / More discussion needed / None of the above.

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### 2. Topic: Framework Reliability & Plugin Proliferation

**Summary of Topic:** Rapid contribution of complex plugins like MEM0 and APEX Oracle requires stricter validation to prevent framework fragmentation.

#### Deliberation Items (Questions):

**Question 1:** Should deep-market analytics like APEX Oracle be integrated as core features or remain third-party plugins?

  **Context:**
  - `Vlt9: Introduced APEX Oracle v0.5.0 for deep-market analytics and Sybil detection.`
  - `Julio Holon: Raised concerns about the reliability of plugin-orchestrator and version selection.`

  **Multiple Choice Answers:**
    a) Incorporate into Core Framework.
        *Implication:* Standardizes agent security against wash-trading but increases framework overhead.
    b) Establish a 'Verified' tier.
        *Implication:* Signals quality and reliability without bloating the ElizaOS core repository.
    c) Maintain decentralized plugin ecosystem.
        *Implication:* Maximizes innovation speed but leaves version stability to individual developers.
    d) Other / More discussion needed / None of the above.

**Question 2:** How can we mitigate the current version confusion (v2-develop vs alpha) impacting developer trust?

  **Context:**
  - `Julio Holon: Uncertain between using v2-develop branch versus alpha channel for production.`
  - `Meme Broker: Expressed frustration over limited visibility/engagement with VPS orchestration tools.`

  **Multiple Choice Answers:**
    a) Aggressive branch consolidation.
        *Implication:* Provides a single source of truth for builders but may slow down experimental feature shipping.
    b) Enhanced documentation gates.
        *Implication:* Uses AI-driven documentation to guide developers to the correct version based on use-case.
    c) Automated stability labeling.
        *Implication:* Forces clearer technical signaling but requires significant CI/CD maintenance effort.
    d) Other / More discussion needed / None of the above.