Council Briefing

Strategic Deliberation
▶North Star & Strategic Context

North Star & Strategic Context



This file combines the overall project mission (North Star) and summaries of key strategic documents for use in AI prompts, particularly for the AI Agent Council context generation.

---

North Star: To build a truly autonomous, sustainable DAO that develops open-source software accelerating the path toward AGI, blending AI researchers, open-source hackers, and crypto degens to create AI agents streaming, shitposting, and trading 24/7 on auto.fun to attract users and bootstrap an autonomous organization.

---

ElizaOS Mission Summary (`docs/blog/mission.mdx`): The elizaOS mission is to build an extensible, modular, open-source AI agent framework for Web2/Web3, seeing agents as steps toward AGI. Core values are Autonomy, Modularity, and Decentralization. Key products include the framework itself, DegenSpartanAI (trading agent), Autonomous Investor/Trust Marketplace (social trading intelligence), and the Agent Marketplace/auto.fun (launchpad).

---

ElizaOS Reintroduction Summary (`docs/blog/reintroduction.mdx`): elizaOS is an open-source "operating system for AI agents" aimed at decentralizing AI development away from corporate control. It's built on three pillars: 1) The Eliza Framework (TypeScript toolkit for persistent, interoperable agents), 2) AI-Enhanced Governance (building autonomous DAOs), and 3) Eliza Labs (R&D for future capabilities like v2, Trust Marketplace, auto.fun, DegenSpartanAI, Eliza Studios). The native Solana token coordinates the ecosystem and captures value. The vision is an intelligent internet built on open protocols and collaboration.

---

Auto.fun Introduction Summary (`docs/blog/autofun-intro.mdx`): Auto.fun is an AI-native, creator-first token launchpad designed for sustainable AI/crypto projects. It aims to balance fair community access with project funding needs through mechanisms like bonding curves and liquidity NFTs. Key features include a no-code agent builder, AI-generated marketing tools, and integration with the elizaOS ecosystem. It serves as a core product driving value back to the native token ($ai16z) through buybacks and liquidity pairing.

---

Taming Information Summary (`docs/blog/taming_info.mdx`): Addresses the challenge of information scattered across platforms (Discord, GitHub, X). Proposes using AI agents as "bridges" to collect, wrangle (summarize/tag), and distribute information in various formats (JSON, MD, RSS, dashboards, 3D shows). Showcases an AI News system and AI Assistants for tech support as examples. Emphasizes treating documentation as a first-class citizen to empower AI assistants and streamline community operations.
▶Daily Strategic Focus
The Babylon platform has reached significant growth milestone of 100k signups while the token migration process faces critical communication challenges with exchanges and users.
Monthly Goal
Current focus: Stabilize and attract new users to auto.fun by showcasing 24/7 agent activity (streaming, trading, shitposting), ship production ready elizaOS v2.

Key Deliberations

Token Migration Strategy
The ongoing AI16Z to ELIZAOS token migration has created significant friction with exchange partners and community members due to snapshot communication issues, particularly affecting Korean exchanges and Kraken users.
Q1
How should we prioritize resolving the exchange communication issues around the token migration?
  • Major controversy emerged regarding Korean exchanges (particularly Bithumb) where users claim the exchange announced full migration support but later backtracked.
  • Similar migration issues reported with Kraken users.
1Prioritize high-volume exchanges (Bithumb, Kraken) with direct executive outreach and offer technical support teams.
Focuses resources on largest user impact but may create perception of preferential treatment.
2Implement a standardized manual migration process for all affected users regardless of exchange.
Ensures fairness but significantly increases operational overhead and may delay other initiatives.
3Maintain current approach of case-by-case resolution while improving documentation clarity.
Preserves development bandwidth but risks prolonging user frustration and potential reputation damage.
4Other / More discussion needed / None of the above.
Q2
Should we extend the 90-day migration window given the exchange communication challenges?
  • 90-day migration window is in place, providing time for resolution.
  • Team maintains that tokens purchased after the snapshot date won't be migrated.
1Maintain the current 90-day window as it provides sufficient time to resolve issues.
Preserves timeline discipline but may create hardship for users with complex exchange situations.
2Extend the window by 30-60 days with clear milestones for exchange integration completion.
Demonstrates flexibility but could set precedent for further extensions and delay completion of the migration.
3Implement a tiered timeline - 90 days for standard migrations, 120 days for exchange-specific cases with proof of ownership.
Balances fairness with operational constraints but introduces additional complexity to communicate.
4Other / More discussion needed / None of the above.
Q3
What verification mechanisms should we implement for pre-snapshot token ownership claims?
  • Users who held tokens before the snapshot but on exchanges are advised to keep them there for automatic migration or submit manual migration requests with proof of pre-snapshot ownership.
  • Serikiki confirmed that providing screenshots of token purchases before Nov 11 to the team is sufficient proof for migration.
1Accept screenshots with clear timestamp information as sufficient proof of pre-snapshot ownership.
Simplifies verification process but opens potential for doctored evidence and fraud.
2Implement blockchain-based verification through transaction signatures where possible, with human review for edge cases.
Maximizes security and automation but requires technical sophistication from users.
3Require exchange API read access or official exchange statements as primary verification, with screenshots as secondary evidence.
Balances security with accessibility but may create privacy concerns for some users.
4Other / More discussion needed / None of the above.
Babylon Growth Strategy
The Babylon project has achieved 100k signups through effective referral mechanisms and Ethereum community integration, but faces challenges in distinguishing airdrop farmers from genuine users.
Q1
How should we leverage Babylon's 100k user milestone to advance our auto.fun user acquisition strategy?
  • Babylon project has reached 100k signups, with effective referral mechanisms driving growth.
  • Babylon has been promoted within Ethereum communities and was demonstrated at the Trustless Agents day event.
1Integrate auto.fun directly within Babylon to create a seamless funnel for converting waitlist signups to active platform users.
Maximizes conversion potential but could dilute the distinct value propositions of each platform.
2Use Babylon's user base for targeted marketing of auto.fun's unique agent capabilities and token launchpad features.
Maintains platform separation while leveraging the audience, but requires additional marketing resources.
3Create a shared incentive structure where Babylon users get preferential status/benefits on auto.fun.
Builds cross-platform synergy but may create complex tokenomics that are difficult to balance.
4Other / More discussion needed / None of the above.
Q2
What approach should we take to filter airdrop farmers from genuine users in Babylon's referral system?
  • Kenk mentioned a need to distinguish between airdrop farmers and genuine users in Babylon's referral system.
1Implement progressive engagement requirements where rewards increase with meaningful platform interaction.
Rewards genuine engagement but adds complexity to the airdrop mechanics.
2Utilize AI-based behavior analysis to identify patterns consistent with airdrop farming versus genuine usage.
Leverages our AI expertise but risks false positives/negatives in user classification.
3Require integration with existing Web3 identity solutions (e.g., Farcaster, ENS) to verify legitimate community members.
Increases quality of participants but potentially reduces total acquisition numbers.
4Other / More discussion needed / None of the above.
elizaOS v2 Technical Roadmap
Development efforts on elizaOS v2 show progress with PR approvals and standards development, but face technical challenges in creating a truly autonomous system with interoperable agents.
Q1
How should we prioritize the development of open standards (8004 and x402) for autonomous agents against other elizaOS v2 features?
  • Ethereum Foundation is supporting AI builders and the development of open standards (8004 and x402) for autonomous agents.
  • PR #6166 in the elizaOS/eliza repository was updated and expanded by Odilitime, later approved by Stan.
1Prioritize standards development and integration as the foundation for all other v2 features.
Creates a strong architectural foundation but may delay user-facing features.
2Balance standards work with user-facing features by implementing them in parallel development tracks.
Maintains development momentum on multiple fronts but risks resource dilution.
3Focus on shipping core v2 functionality first, then retrofit standards compliance afterward.
Gets product to market faster but may require significant rework later.
4Other / More discussion needed / None of the above.
Q2
What technical capabilities in elizaOS v2 would most effectively showcase 24/7 autonomous agent activity on auto.fun?
  • Current monthly goal: Stabilize and attract new users to auto.fun by showcasing 24/7 agent activity (streaming, trading, shitposting), ship production ready elizaOS v2.
1Enhanced event-driven architecture allowing agents to autonomously respond to market/social triggers without human intervention.
Demonstrates true autonomy but introduces complexity in testing and reliability engineering.
2Improved multi-agent coordination protocols enabling collaborative agent behaviors that create emergent content and trading strategies.
Creates more sophisticated and interesting agent behaviors but requires solving challenging coordination problems.
3Robust persistence and self-healing capabilities ensuring agents maintain state and recover from failures automatically.
Ensures reliable 24/7 operation but may be less visibly impressive than new functional capabilities.
4Other / More discussion needed / None of the above.
Q3
How should we adapt our GitHub issue management approach to better align with the production-ready elizaOS v2 goal?
  • Recent GitHub activity shows 1 new pull request, 1 new issue, and 4 active contributors working on the project.
  • Issue #6168 titled 'Add OpenAI-compatible API' by @joglomedia is OPEN with 1 comment.
1Implement stricter issue prioritization focused exclusively on stability and production-readiness criteria.
Focuses team on core stability but may delay features that could drive user adoption.
2Adopt a dual-track system separating v2 stabilization issues from future enhancement requests.
Balances immediate needs with long-term vision but requires additional management overhead.
3Create explicit user-impact ratings for all issues to prioritize those with greatest effect on auto.fun showcase capabilities.
Aligns development directly with user acquisition goals but may overlook important architectural improvements.
4Other / More discussion needed / None of the above.