# Council Briefing: 2025-07-07 ## 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 - ElizaOS development shows significant momentum with a comprehensive documentation overhaul, successful Spartan AI trading tool testing, and preparation for the imminent v2 release alongside active community tutorial support. ## Key Points for Deliberation ### 1. Topic: ElizaOS v2 Readiness and Roll-out Strategy **Summary of Topic:** As multiple users inquire about the v2 release timeline with only vague 'soon' responses provided, we must define a precise roll-out plan for the highly anticipated ElizaOS v2 that will deliver improved experiences while addressing key technical issues identified in community feedback. #### Deliberation Items (Questions): **Question 1:** What should be our official release timeline for ElizaOS v2? **Context:** - `User ghk9698: 'Wen elizaos v2 release?' (Answer: Unanswered)` - `User srikanth: 'When v2?' with Dr. Neuro responding: 'Soon'` **Multiple Choice Answers:** a) Announce immediate release this week with the known limitations, then issue rapid updates to address outstanding issues. *Implication:* Quick release maintains momentum but risks negative reception if critical issues aren't addressed. b) Set a concrete 2-week timeline with a detailed changelog of improvements and new features that resolve known pain points. *Implication:* Specific timeline creates accountability and manages expectations while allowing time to address critical issues. c) Avoid specific dates and implement a staged beta release program where power users can test and provide feedback before general release. *Implication:* Beta approach improves quality but delays full release and creates perception of a cautious development pace. d) Other / More discussion needed / None of the above. **Question 2:** Which technical improvements should be prioritized in the v2 release to maximize user adoption and retention? **Context:** - `Users reported potential issues with the knowledge plugin, including inability to perform local embeddings and possible API endpoint changes in recent updates.` - `Significant discussion about Twitter/X API limitations for DMs, confirming that the basic tier is severely limited (1 DM per day), making it essentially unusable for agent interactions.` **Multiple Choice Answers:** a) Focus on stability and authentication improvements, particularly fixing plugin loading issues and implementing proper Twitter API integration. *Implication:* Addresses critical functionality concerns but may delay more innovative features. b) Prioritize the release of Eliza Cloud with A2A (Agent-to-Agent) communication capabilities to enable more sophisticated agent interactions. *Implication:* Delivers a groundbreaking feature that differentiates our platform but may leave existing issues unresolved. c) Lead with UI/UX enhancements and documentation improvements to make the platform more accessible to non-technical users. *Implication:* Broadens potential user base but might frustrate power users waiting for technical improvements. d) Other / More discussion needed / None of the above. --- ### 2. Topic: Spartan AI Trading Performance and Market Strategy **Summary of Topic:** The successful holders-only test of Spartan AI trading tool generated extremely positive feedback with reports of 60% profit, presenting an opportunity to leverage this momentum for broader adoption while carefully managing auto.fun launchpad's competitive positioning. #### Deliberation Items (Questions): **Question 1:** How should we expand access to Spartan AI to maximize its impact on ecosystem growth? **Context:** - `User 辞尘鸽鸽 described Spartan as 'extremely rational' and 'far superior to humans' with 'master level' strategy` - `Odilitime mentioned plans to open Spartan access to partners next week after processing feedback` **Multiple Choice Answers:** a) Implement a tiered access system based on token holdings, with higher tiers getting earlier access to trading signals and advanced features. *Implication:* Creates strong token utility but potentially limits viral growth to new users without tokens. b) Launch a freemium model with basic signals available to all users and premium features accessible through subscription or token holdings. *Implication:* Balances growth and token utility while creating a sustainable revenue model. c) Make Spartan fully accessible to advance our mission of democratizing AI, using the proven performance to attract users to other premium services. *Implication:* Maximizes user acquisition but potentially underutilizes a strong token utility mechanism. d) Other / More discussion needed / None of the above. **Question 2:** How should we position auto.fun's launchpad fee structure and curation strategy to compete with established platforms like BONK? **Context:** - `Phenowin provided detailed analysis of successful launchpad strategies, particularly highlighting BONK's approach on Solana, emphasizing trust, quality KOLs, and selective project curation.` - `Phenowin suggested that auto.fun's launchpad fees might be too low compared to competitors and recommended studying BONK's successful model.` **Multiple Choice Answers:** a) Increase fee structure to match competitors while implementing rigorous curation standards focused on AI-native projects. *Implication:* Signals premium quality but may deter some projects from launching on our platform. b) Maintain lower fees as a competitive advantage but invest heavily in attracting quality KOLs and strategic backers to build ecosystem credibility. *Implication:* Creates market differentiation but requires significant investment in relationship building. c) Implement a dynamic fee structure that scales with project success, aligning our incentives with projects and potentially attracting higher quality launches. *Implication:* Creates innovative positioning but relies on complex mechanisms that may be difficult to communicate. d) Other / More discussion needed / None of the above. --- ### 3. Topic: Documentation and API Limitations **Summary of Topic:** Recent improvements to documentation alongside the identification of severe API limitations (particularly in Twitter/X) require strategic decisions about how to communicate platform capabilities and limitations to different user segments. #### Deliberation Items (Questions): **Question 1:** How should we address the Twitter/X API limitations in our platform strategy? **Context:** - `Significant discussion about Twitter/X API limitations for DMs, confirming that the basic tier is severely limited (1 DM per day), making it essentially unusable for agent interactions. Even enterprise pricing has significant limitations.` **Multiple Choice Answers:** a) Pivot away from Twitter integration as a core feature and focus on platforms with more developer-friendly APIs like Discord and Telegram. *Implication:* Reduces Twitter-dependent use cases but focuses resources on more reliable platforms. b) Develop our own intermediary service that pools API access and optimizes usage across multiple users to mitigate individual limitations. *Implication:* Creates unique technical value but increases architectural complexity and potential points of failure. c) Negotiate enterprise-level API access and offer it as a premium feature for serious developers and businesses building on elizaOS. *Implication:* Creates a potential revenue stream but establishes a two-tier system that contradicts open-source ethos. d) Other / More discussion needed / None of the above. **Question 2:** What approach should we take to strengthen our documentation strategy following the recent comprehensive overhaul? **Context:** - `Snapper shared Episode 2 of the ElizaOS Tutorial covering CLI usage, project creation, character file setup, and running agents in dev mode.` - `PR #5401 titled 'feat: implement comprehensive documentation overhaul with two-track system' is completed, introducing a major documentation improvement.` **Multiple Choice Answers:** a) Prioritize more video tutorials and interactive guides with a focus on simple, non-technical onboarding experiences. *Implication:* Broadens appeal to non-technical users but may slow development of advanced documentation. b) Implement an AI-assisted documentation system that dynamically generates relevant examples based on user queries and context. *Implication:* Showcases our AI capabilities while creating a truly next-generation documentation experience. c) Focus on expanding specific documentation around pain points like API limitations, plugin compatibility, and cross-platform deployment. *Implication:* Addresses immediate developer needs but may not sufficiently improve the experience for new or non-technical users. d) Other / More discussion needed / None of the above.