# Council Briefing: 2025-07-06 ## 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. ## Daily Focus - The successful demonstration of Spartan trading agent has generated exceptional user enthusiasm while product teams push toward V2 release, highlighting our dual focus on immediate user engagement and platform evolution. ## Key Points for Deliberation ### 1. Topic: Trading Agent Performance & Ecosystem Positioning **Summary of Topic:** The Spartan trading agent demo has received overwhelmingly positive feedback, particularly from Chinese and Korean communities, showing strong market validation for DegenAI's utility while raising questions about ecosystem token relationships. #### Deliberation Items (Questions): **Question 1:** How should we position the various tokens in our ecosystem (ai16z, DegenAI, ELI5) to maximize user understanding and minimize confusion? **Context:** - `Q: Is ai16z still the token? Or did they migrate to a new token? A: Still ai16z and degenai, no new token (answered by Odilitime)` - `Q: Why is degenai pumping? A: We demo'd the product to degenai holders (answered by Odilitime)` **Multiple Choice Answers:** a) Maintain current multi-token strategy with clearer documentation on each token's utility and relationship to the overall ecosystem. *Implication:* Preserves existing structure but requires significant education efforts to prevent ongoing confusion. b) Streamline to a single primary token (ai16z) with utility NFTs for specific product access, phasing out separate tokens. *Implication:* Simplifies user understanding but requires complex migration strategy and may alienate current token holders. c) Keep multiple tokens but implement cross-token utility mechanisms where holding any ecosystem token provides scaled benefits across products. *Implication:* Maintains token diversity while creating incentives for users to participate in multiple ecosystem products. d) Other / More discussion needed / None of the above. **Question 2:** Given the positive response to Spartan's trading capabilities, how should we prioritize performance tracking dashboards and expand access? **Context:** - `User 辞尘鸽鸽 described Spartan as "extremely rational" and "far superior to humans" with "master level" strategy` - `Helper: Odilitime | Helpee: wire | Context: User asked about a dashboard to track Spartan performance | Resolution: Recommended Arkm.com as what they've been recommending, mentioned they'll try to get something going next week` **Multiple Choice Answers:** a) Develop a proprietary performance dashboard with social features to create a competitive leaderboard among Spartan users. *Implication:* Creates network effects and engagement but delays wider access to focus on infrastructure. b) Immediately open Spartan access broadly while relying on third-party tracking tools, focusing development resources on agent capabilities instead. *Implication:* Maximizes short-term adoption but may limit long-term engagement without native tracking tools. c) Launch a tiered access approach with progressive performance tracking features, prioritizing DegenAI holders while developing a roadmap for broader access. *Implication:* Balances exclusivity and growth while building a foundation for sustainable scaling of trading services. d) Other / More discussion needed / None of the above. **Question 3:** Should we prioritize developing copy trading functionality for DegenAI to capitalize on current market enthusiasm? **Context:** - `A copy trading strategy is being developed for DegenAI` - `One user reported 60% profit using Spartan's trading advice` **Multiple Choice Answers:** a) Yes, fast-track copy trading as a premium feature to leverage current positive sentiment and create additional token utility. *Implication:* Capitalizes on momentum but may increase technical risk by rushing development. b) No, focus on stabilizing the core advisory features and UI experience before adding complex copy trading functionality. *Implication:* Ensures quality but may miss capitalizing on current market enthusiasm. c) Implement a phased approach with simple follow-along recommendations first, while developing full copy trading as a V2 feature. *Implication:* Balances immediate user value with methodical development of more complex functionality. d) Other / More discussion needed / None of the above. --- ### 2. Topic: V2 Development Strategy & UI/UX Overhaul **Summary of Topic:** The team is advancing toward ElizaOS V2 with substantial UI/UX improvements and framework development, but needs to address community confusion about project focus and feature priorities. #### Deliberation Items (Questions): **Question 1:** How should we clarify the nature of ElizaOS to resolve community confusion about whether we're building AI models or a framework for leveraging existing models? **Context:** - `Ongoing debate about the nature of ElizaOS: some users (particularly "hildi") emphasized that ElizaOS is a framework leveraging existing AI models rather than building competing models, while others viewed it as potentially competing with ChatGPT and similar services` - `Q: Is ElizaOS competing with AI models like Grok, ChatGPT, DeepSeek and Claude? A: "I think it just might" (answered by traderlv, though this contradicts other users' understanding)` **Multiple Choice Answers:** a) Rebrand messaging to emphasize ElizaOS as an "AI Model Orchestration Layer" that enhances but doesn't compete with foundation models. *Implication:* Creates clarity but requires significant messaging shifts across all channels and documentation. b) Maintain current positioning but create educational content explaining the framework approach, highlighting partnerships with model providers. *Implication:* Preserves brand continuity while gradually shifting understanding through targeted education. c) Strategically reposition as both a framework and a specialized model developer focusing on agent-specific capabilities not addressed by general models. *Implication:* Creates a hybrid identity that accommodates both perspectives but risks continued confusion without very clear messaging. d) Other / More discussion needed / None of the above. **Question 2:** With V2 development underway, how should we balance technical improvements versus promotional activities to achieve our monthly goal of attracting new users? **Context:** - `References to "ElizaOS v2" with improved agent capabilities` - `Several X (Twitter) accounts associated with the project appear to be suspended, which is reportedly impacting market cap and awareness` **Multiple Choice Answers:** a) Prioritize technical development and stability completely, delaying promotional efforts until V2 is production-ready. *Implication:* Ensures product quality but risks losing market momentum and failing to meet the user growth aspect of our monthly goal. b) Split resources 50/50 between technical development and promotional activities, focusing on restoring social channels and showcasing existing capabilities. *Implication:* Balances both aspects of our monthly goal but may extend V2 development timeline. c) Implement a staged approach with an immediate focus on restoring social presence, followed by a V2 beta program that serves both development and promotion purposes. *Implication:* Addresses both goals sequentially while turning V2 development into a community engagement opportunity. d) Other / More discussion needed / None of the above. **Question 3:** Given the comprehensive UI/UX overhaul currently underway, should we prioritize experience consistency or accelerate new feature development? **Context:** - `This week saw a massive push in redesigning the user interface to align with new Figma specifications, resulting in a more modern and consistent user experience.` - `GitHub Activity Summary: On July 5, 2025, the elizaOS/eliza repository showed significant activity with 5 new pull requests (with 1 merged), 1 new issue, and 5 active contributors working on the project.` **Multiple Choice Answers:** a) Complete UI/UX consistency work first to establish a solid foundation before adding new features. *Implication:* Creates a polished, coherent user experience but may delay introducing competitive features. b) Accelerate new feature development in parallel with UI/UX improvements, accepting some temporary inconsistencies. *Implication:* Delivers competitive functionality faster but risks creating a disjointed user experience. c) Implement a component-based design system that allows teams to simultaneously improve UI/UX and add features using standardized elements. *Implication:* Balances consistency and innovation but requires upfront investment in design system infrastructure. d) Other / More discussion needed / None of the above. --- ### 3. Topic: Social Platform Integration & Community Engagement **Summary of Topic:** The team faces challenges with Twitter/X API integration and suspended social accounts, while also needing to address effective documentation and communication strategies to maintain community alignment. #### Deliberation Items (Questions): **Question 1:** How should we approach our current challenges with Twitter/X to maintain and expand our social media presence? **Context:** - `The team is working to restore suspended X/Twitter accounts, expected to regain access within a week` - `cjft announced a complete refactor of the twitter-plugin (v1.0.14) that fixes API usage issues` **Multiple Choice Answers:** a) Focus entirely on Twitter/X reinstatement and API integration while pausing expansion to other platforms. *Implication:* Consolidates efforts but creates single-platform dependency risks. b) Maintain Twitter/X efforts while accelerating integration with alternative platforms like Farcaster, Discord, and Telegram. *Implication:* Creates platform redundancy but divides development resources across multiple integrations. c) Develop a platform-agnostic social connector framework that standardizes how ElizaOS interacts with various social platforms. *Implication:* Requires more upfront development but creates long-term resilience against platform-specific challenges. d) Other / More discussion needed / None of the above. **Question 2:** What promotional strategy should we implement to capitalize on the successful Spartan demo while addressing current social media limitations? **Context:** - `Discussions about creating promotional soft drinks for marketing at conferences, with several members offering distribution connections` - `Suggestions for marketing strategies for the auto platform, including collaborations with trading terminal bots and listings on platforms like Jupiter alphascan and Axiom` **Multiple Choice Answers:** a) Focus on traditional crypto marketing channels (listings, partnerships) while social accounts are being restored. *Implication:* Leverages established crypto ecosystem but may not reach new audience segments interested in AI capabilities. b) Implement guerrilla marketing tactics including physical merchandise, conference presence, and community-led initiatives. *Implication:* Creates tangible brand presence but requires logistical coordination and may not scale efficiently. c) Leverage DegenAI holders as brand ambassadors, providing them with exclusive content and incentives to promote Spartan's performance. *Implication:* Creates authentic word-of-mouth promotion but depends on community engagement that may vary in effectiveness. d) Other / More discussion needed / None of the above. **Question 3:** How should we structure our documentation and communication to improve both technical and non-technical user understanding? **Context:** - `A GitHub knowledge repository is available with daily/weekly/monthly summaries` - `Create clear documentation explaining that ElizaOS is a framework leveraging existing AI models, not building competing models (Mentioned by hildi)` **Multiple Choice Answers:** a) Implement a two-track documentation system with separate paths for technical and non-technical users. *Implication:* Addresses diverse audience needs but requires maintaining multiple content streams. b) Develop an AI-assisted documentation layer that dynamically adjusts content complexity based on user queries and preferences. *Implication:* Creates personalized documentation experience but requires significant AI development resources. c) Focus on visual and interactive documentation with demos, videos, and guided tours rather than traditional text documentation. *Implication:* Makes concepts more accessible but requires specialized content creation skills and regular updates as features change. d) Other / More discussion needed / None of the above.