{
  "prompt_name": "user-feedback",
  "category": "comms",
  "date": "2026-03-10",
  "generated_text": "## User Feedback Analysis \u2014 2026-03-10 (based on Discord/GitHub summaries from 2026-03-07 to 2026-03-09)\n\n### 1) Pain Point Categorization (Top recurring friction areas)\n\n**1. Documentation \u2014 Project clarity, roadmap, and token-related FAQs (highest frequency, high severity)**\n- **Recurring problems (3/3 days):**\n  - Unclear timelines and status of **game/app launches** and \u201cwhat\u2019s shipping next\u201d (paolin).\n  - **Airdrop distribution** details missing (who qualifies, when, how to claim) (paolin; echoed by Odilitime mentioning ongoing work).\n  - **Undefined \u201cuse cases for ElizaOS\u201d** at a product level (paolin).\n  - Confusion about **official/legit token status** (e.g., \u201cno legit Milady token yet\u201d) and chain plans (Odilitime; Boj/acc speculation).\n- **Who it affects most:** newcomers, holders, and builders trying to decide whether to invest time building.\n\n**2. Community \u2014 Trust, communication cadence, and social presence (high frequency, high severity)**\n- **Recurring problems (3/3 days):**\n  - Concerns about team continuity (\u201cpeople leaving?\u201d) and perceived silence (Thanos\ud83d\udca8; broader community).\n  - Complaints about weak presence on **X/Twitter**, allowing FUD to spread (paolin).\n  - Repeated unanswered questions (e.g., OTC interest, buybacks, token holdings questions).\n- **Who it affects most:** long-term holders + developers evaluating ecosystem risk.\n\n**3. Technical Functionality \u2014 Model configuration across agents (medium frequency, high severity for developers)**\n- **Specific problems:**\n  - \u201cIssues with model configuration across different agents\u201d (BinaryCookies). This implies either unclear config precedence, inconsistent runtime behavior, or missing validation/diagnostics.\n- **Who it affects most:** active builders running multi-agent setups.\n\n**4. Integration \u2014 Voice provider lock-in / cost sensitivity (medium frequency, medium-high severity)**\n- **Specific problems:**\n  - ElevenLabs seen as too expensive; explicit request for a **functional Google voice plugin** (BinaryCookies).\n- **Who it affects most:** teams deploying voice agents at scale or in cost-constrained regions.\n\n**5. Technical Functionality \u2014 Scheduling/timers for agent-to-agent Discord interactions (medium frequency, medium severity)**\n- **Specific problems:**\n  - Users want **Discord timed conversations** analogous to `TWITTER_POST_INTERVAL_MIN/MAX` (BinaryCookies).\n  - Solutions exist but are discoverability-heavy: pointed to autonomous TS examples + milady trigger systems (user `s`).\n- **Who it affects most:** builders creating autonomous / \u201calways-on\u201d agents.\n\n**6. Integration/Platform \u2014 Adapter/plugin distribution and \u201chow to ship\u201d uncertainty (lower frequency, but important)**\n- **Specific problems:**\n  - \u201cWho has built adaptor for elizaOS and what\u2019s your experiences in terms of distribution?\u201d went unanswered (meowww404).\n- **Who it affects most:** plugin authors and integrators (critical for ecosystem growth).\n\n**7. UX/UI \u2014 Onboarding to \u201cwhere do I start?\u201d (implicit, medium severity)**\n- **Specific problems (signals):**\n  - Multiple developer intros + job seeking, but limited guided pathways; questions get answered via deep links rather than a clear onboarding flow.\n  - Example: timer feature answer required browsing two repos; indicates missing \u201cHow-to\u201d surfaces.\n\n---\n\n### 2) Usage Pattern Analysis (actual vs intended use)\n\n**How users are actually using elizaOS (observed):**\n- **Real-world multi-agent automation, not just chatbots:**  \n  - YOYO\u2019s B2B commerce agent: **LangGraph + MCP + Supabase/pgvector**, \u201ccomputer-use\u201d to read ERPs, multi-agent purchasing decisions (Jaime Vejar Aguirre).\n- **Autonomous agents with triggers:**  \n  - Demand for scheduled agent conversations in Discord mirrors social/autonomous behaviors (timer-based loops).\n- **Crypto/DeFi risk + trading support tooling:**  \n  - ZARQ plugin: \u201cpre-trade risk scoring covering 205 tokens\u201d (LillAnders).\n- **Productionization emphasis emerging from community:**  \n  - Offers for monitoring/evals/retries/fallbacks/cost control/logging (NerdPanic) suggest builders are moving from prototypes to operations.\n\n**Mismatch vs intended/assumed usage:**\n- Community conversation is heavily weighted toward **token/project meta** (communication, airdrops, listings) rather than framework usage\u2014this can deter builders who want a stable engineering narrative.\n\n**Emerging/Unexpected use cases:**\n- **ERP-reading \u201ccomputer use\u201d agents** for SMB procurement (enterprise automation).\n- **Risk-intelligence plugins** as first-class agent capabilities (compliance/safety angle).\n\n**Feature requests aligned with usage:**\n- A **first-party scheduling/trigger API** (since autonomous loops are common).\n- **Cost-effective voice integrations** (since voice agents are being considered for deployment).\n- **Clear adapter/plugin distribution guidance** (since plugin ecosystem is a growth lever).\n\n---\n\n### 3) Implementation Opportunities (2\u20133 concrete solutions per major pain point)\n\n#### A) Project clarity + airdrop/use-case documentation (Docs/Community)\n1) **Publish a single \u201cStatus & Roadmap\u201d page updated weekly** (high impact, low-medium effort)  \n   - Include: what shipped last week, what\u2019s in progress, blockers, expected next milestone.\n   - Similar pattern: many OSS projects run a lightweight weekly \u201cchangelog + next\u201d (e.g., Kubernetes-style release notes discipline, but scaled down).\n\n2) **Create a pinned \u201cAirdrop & Token Utilities FAQ\u201d with claim flow diagrams** (high impact, low effort)  \n   - Explicitly list: eligibility snapshot rules, distribution dates, claiming steps, common scams.\n   - Add a \u201crumor control\u201d section: \u201cNo legit Milady token yet\u201d style statements, with canonical links.\n\n3) **Define 3\u20135 canonical elizaOS use cases with reference architectures** (high impact, medium effort)  \n   - Examples based on observed demand: \u201cAutonomous Discord agents\u201d, \u201cB2B workflow agent (LangGraph+MCP+pgvector)\u201d, \u201cRisk-scoring trading agent\u201d, \u201cWhatsApp/Gmail/N8N automation\u201d (from the Feb weekly summary).\n\n#### B) Model configuration across agents (Technical Functionality)\n1) **Introduce a validated config schema + precedence rules** (high impact, medium effort)  \n   - Provide deterministic precedence: global defaults \u2192 agent overrides \u2192 runtime flags.\n   - Similar approach: Home Assistant-style config validation; many frameworks provide JSON schema + error messages rather than silent fallback.\n\n2) **Add a \u201cconfig doctor\u201d command/tool** (medium-high impact, medium effort)  \n   - Outputs: which model each agent is using, why, missing keys, invalid provider settings, env var resolution.\n   - Prevents \u201cit\u2019s not using the model I set\u201d confusion.\n\n3) **Provide a multi-agent \u201cknown good\u201d template** (medium impact, low effort)  \n   - A repo example showing two agents with different models/providers + tests that assert configuration correctness.\n\n#### C) Voice provider cost + Google voice plugin request (Integration)\n1) **Ship a Google TTS/STT plugin (or clear \u201ccommunity supported\u201d plugin path)** (high impact, medium effort)  \n   - Include caching and rate-limit handling to keep costs predictable.\n   - Provide a provider comparison table (latency, cost, quality, regions).\n\n2) **Add a voice abstraction layer + fallback chain** (medium-high impact, medium effort)  \n   - Allow: ElevenLabs \u2192 Google \u2192 local TTS (where possible).\n   - Similar pattern: many notification/telephony systems offer provider failover.\n\n3) **Cost controls in examples (budgets, per-day caps)** (medium impact, low effort)  \n   - Aligns with production deployment concerns raised by NerdPanic.\n\n#### D) Scheduling/timed agent interactions (Technical Functionality/Integration)\n1) **First-party \u201cscheduler/cron trigger\u201d module** (high impact, medium effort)  \n   - Provide: interval triggers, cron expressions, jitter, and persistence of next-run.\n   - Similar approach: Temporal \u201ccron schedules\u201d concept (durable scheduling) or standard cron-like triggers in workflow tools.\n\n2) **Document \u201cDiscord autonomous patterns\u201d as a cookbook** (high impact, low effort)  \n   - Convert the existing pointer (TS autonomous examples + milady triggers) into a step-by-step guide with copy/paste snippets.\n\n3) **Add guardrails for runaway loops** (medium impact, medium effort)  \n   - Backoff, max messages per hour, and explicit allowlists to avoid spam.\n\n#### E) Adapter/plugin distribution uncertainty (Integration/Community)\n1) **Create \u201cHow to publish and distribute an adapter/plugin\u201d guide** (high impact, low-medium effort)  \n   - Include: versioning, registry submission, compatibility matrix, example CI.\n\n2) **Run a monthly \u201cplugin showcase + office hours\u201d** (medium-high impact, low effort)  \n   - Directly targets unanswered questions like meowww404\u2019s by getting experienced plugin authors on record.\n\n3) **Add a \u201cProduction checklist\u201d for plugins** (medium impact, low effort)  \n   - Monitoring hooks, evals, retries\u2014aligning with the ops-minded services offered in Discord.\n\n---\n\n### 4) Communication Gaps (expectations vs reality)\n\n**Where expectations don\u2019t match reality:**\n- **Expectation:** frequent launches/announcements and visible momentum.  \n  **Reality:** development is happening (plugins, chain strategy, integrations), but updates are fragmented across Discord and not condensed into a canonical narrative.\n- **Expectation:** clear token mechanics (airdrop, buybacks, listings).  \n  **Reality:** many details are either not decided publicly or not documented; repeated questions persist.\n\n**Recurring questions indicating onboarding/documentation gaps:**\n- \u201cHow do I schedule agent-to-agent conversations in Discord?\u201d (BinaryCookies) \u2192 indicates scheduling patterns aren\u2019t surfaced.\n- \u201cWhich token is legit?\u201d (g) \u2192 indicates missing canonical anti-scam page and official statements hub.\n- \u201cWhich chain are we on?\u201d (Boj/acc) \u2192 needs a simple \u201csupported chains now\u201d page (Solana + BSC were stated).\n\n**Specific improvements to align expectations:**\n- Pin a **\u201cStart Here\u201d** post in Discord with: roadmap link, official tokens list, plugin registry, autonomous examples, scheduling guide, voice providers.\n- Maintain a **single canonical \u201cOfficial Links & Statements\u201d** page (anti-FUD / anti-scam).\n\n---\n\n### 5) Community Engagement Insights\n\n**Power users / high-leverage contributors (observed):**\n- **Odilitime**: primary responder for project status, chain strategy, and legitimacy clarifications.\n- **User `s`**: effective technical helper, providing direct repo pointers for triggers/scheduling.\n- **BinaryCookies**: active builder surfacing concrete developer pain (models, voice costs, scheduling).\n- **Jaime Vejar Aguirre**: ecosystem builder pushing a substantial real-world deployment concept (LangGraph+MCP+pgvector+ERP computer-use).\n- **NerdPanic**: operations/production perspective (monitoring, evals, retries, cost control) \u2014 valuable for stabilizing real deployments.\n\n**Common newcomer questions indicating onboarding friction:**\n- Job-seeking / \u201cis anyone looking for a developer?\u201d (AurelRheno) with no response captured \u2192 suggests missing contributor matchmaking.\n- Adapter distribution question (meowww404) unanswered \u2192 suggests a gap in \u201chow to ship plugins\u201d mentorship.\n\n**Ways to convert passive users into active contributors:**\n- Create a **\u201cHelp Wanted / Good First Plugin\u201d** board tied to real asks (Google voice plugin, scheduler module, config doctor).\n- Pair power users (`s`, BinaryCookies, plugin authors) with newcomers in a lightweight **mentorship rotation** (office hours).\n- Add a **template for asking questions** (what you tried, logs, repo, config) to raise answer quality and reduce back-and-forth.\n\n---\n\n### 6) Feedback Collection Improvements\n\n**Effectiveness of current channels:**\n- **Discord** captures real-time sentiment well (trust, costs, confusion) but:\n  - Questions can go unanswered.\n  - Solutions get shared as links without being converted into durable docs.\n- **GitHub** (from the provided weekly summary) shows strong engineering throughput, but user-facing pain points from Discord are not clearly flowing into issues/RFCs.\n\n**Improvements for more structured, actionable feedback:**\n1) **Add a \u201cDiscord \u2192 GitHub intake\u201d bot/workflow** (low-medium effort)  \n   - When a question repeats (models, scheduling, voice), prompt: \u201cCreate an issue?\u201d with a prefilled template.\n\n2) **Monthly micro-survey for builders** (low effort)  \n   - Ask: top blocker, what are you building, which integrations matter, cost constraints.\n\n3) **Tag feedback by persona** (low effort)  \n   - Holder/community, plugin author, enterprise builder, ops/production, newcomer.\n\n**Underrepresented segments whose feedback is missing:**\n- Non-crypto users building business automations (ironically, YOYO-like users are rare but high-value).\n- Operators/SREs running agents in production (one signal via NerdPanic, but needs broader input).\n- Users of WhatsApp/Gmail/N8N integrations (mentioned in the Feb summary but not reflected in recent Discord feedback).\n\n---\n\n## Prioritized High-Impact Actions (next 2\u20134 weeks)\n\n1) **Publish a canonical \u201cStatus, Roadmap & Official Statements\u201d hub** (weekly updates + official token/airdrop/chain FAQs).  \n2) **Fix multi-agent model configuration ergonomics**: schema + precedence rules + \u201cconfig doctor\u201d diagnostics.  \n3) **Ship/enable scheduling as a first-class concept**: cron/interval triggers + a Discord autonomous cookbook page.  \n4) **Unblock voice cost concerns**: deliver a Google voice plugin (or an official community plugin track) plus provider fallback + cost caps in examples.  \n5) **Close the plugin distribution knowledge gap**: a \u201cpublish an adapter/plugin\u201d guide + monthly plugin office hours to prevent unanswered ecosystem-critical questions.",
  "source_references": [
    "2026-03-10\n---\n2026-03-09.md\n---\n# elizaOS Discord - 2026-03-09\n\n## Overall Discussion Highlights\n\n### B2B Commerce AI Agent Development\n\nJaime Vejar Aguirre presented a significant B2B commerce AI agent project for YOYO, a Latin American Super App. The technical architecture includes:\n\n- **LangGraph** for agent orchestration\n- **MCP (Model Context Protocol)** for integration\n- **Supabase with pgvector** for database operations\n- **Computer-use capabilities** inspired by OpenClaw to read business ERPs directly\n- **Multi-agent orchestration** for autonomous purchasing decisions\n\nThe system cross-references supplier and buyer data to enable SMBs to make autonomous purchasing decisions. Jaime is seeking a senior AI agent engineer for a 6-month remote contract with experience in LangGraph, MCP, and multi-agent orchestration.\n\n### ElizaOS Technical Challenges\n\n**Model Configuration and Voice Services:**\n- BinaryCookies reported issues with model configuration across different agents\n- Expressed concerns about ElevenLabs costs and requested a functional Google plugin for voice services as a more affordable alternative\n\n**Timed Agent Interactions:**\n- Discussion focused on implementing scheduled agent-to-agent conversations in Discord\n- Community member 's' provided solutions pointing to autonomous TypeScript examples and the milady-ai repository with trigger systems\n\n### Project Communication and Community Concerns\n\nPaolin raised multiple concerns about project management and communication:\n- Delayed game/app launches\n- Unclear airdrop distribution plans for holders\n- Undefined use cases for Elizaos\n- Insufficient X (Twitter) presence allowing FUD to spread\n- Lack of effective marketing team\n- Missing information on new exchange listings\n- Unclear buyback plans\n\n### Community Engagement\n\n- Kyle Stoflet shared a panel discussion about AI agents featuring Shaw and Lucid\n- Multiple developers (Tuskal, \ud835\udcd2\ud835\udd02\ud835\udcfb\ud835\udcee\ud835\udcf7, MONO.DEV, NerdPanic) offered development services\n- NerdPanic specifically offered production deployment services for AI systems including monitoring, evals, retries, fallbacks, cost control, and logging across various cloud platforms\n\n### Fair Launch Economics\n\nDiscussion emerged about the sustainability of fair launch projects, with Odilitime noting that most fair launches likely fail because they don't retain large supply chunks to sustain operations.\n\n## Key Questions & Answers\n\n**Q: How can I have Agents talk to each other in Discord on a timer, similar to TWITTER_POST_INTERVAL_MIN/MAX for X?**\n- **Asked by:** BinaryCookies\n- **Answered by:** s\n- **Answer:** Check the autonomous TypeScript examples at https://github.com/elizaOS/examples/tree/main/autonomous/typescript and the milady-ai repository (https://github.com/milady-ai/milady) which has trigger systems that can be set to run at intervals\n\n**Q: How do fair launch projects survive without large supply chunks?**\n- **Asked by:** based.bid\n- **Answered by:** Odilitime\n- **Answer:** Most fair launches likely die because they don't end up with large chunks of supply to sustain operations\n\n## Community Help & Collaboration\n\n**Agent Orchestration Support:**\n- **Helper:** \ud835\udcd2\ud835\udd02\ud835\udcfb\ud835\udcee\ud835\udcf7\n- **Helpee:** Jaime Vejar Aguirre\n- **Context:** Jaime seeking senior AI agent engineer for 6-month contract on B2B commerce AI agent project\n- **Resolution:** \ud835\udcd2\ud835\udd02\ud835\udcfb\ud835\udcee\ud835\udcf7 offered development services, Jaime agreed to contact\n\n**Discord Timer Implementation:**\n- **Helper:** s\n- **Helpee:** BinaryCookies\n- **Context:** Needed to implement timed agent-to-agent conversations in Discord similar to Twitter interval posting\n- **Resolution:** Provided two GitHub repositories with examples of autonomous agents and trigger systems that run at intervals\n\n## Action Items\n\n### Technical\n\n- **Hire senior AI agent engineer** experienced with LangGraph, MCP, and multi-agent orchestration for 6-month remote contract\n  - *Mentioned by:* Jaime Vejar Aguirre\n\n- **Fix model configuration issues** across different agents\n  - *Mentioned by:* BinaryCookies\n\n- **Develop AI-generated plugin** for Google voice integration\n  - *Mentioned by:* BinaryCookies\n\n### Feature\n\n- **Build AI agent** using LangGraph + MCP + Supabase (pgvector) for B2B commerce that reads ERPs and enables autonomous purchasing decisions\n  - *Mentioned by:* Jaime Vejar Aguirre\n\n- **Create a functional Google plugin** for voice services as an alternative to ElevenLabs\n  - *Mentioned by:* BinaryCookies\n\n- **Establish responsible and effective marketing team**\n  - *Mentioned by:* paolin\n\n### Documentation\n\n- **Clarify and communicate airdrop distribution plans** for holders\n  - *Mentioned by:* paolin\n\n- **Define and document use cases** for Elizaos\n  - *Mentioned by:* paolin\n\n- **Provide updates on new exchange listings**\n  - *Mentioned by:* paolin\n\n- **Clarify team buyback plans**\n  - *Mentioned by:* paolin\n---\n2026-03-08.md\n---\n# elizaOS Discord - 2026-03-08\n\n## Overall Discussion Highlights\n\n### Project Development & Team Status\n\nThe elizaOS community experienced discussions around project continuity and team composition. Concerns were raised about team members potentially distancing themselves from the Eliza project based on changes to their Twitter bios. In response, project leadership acknowledged the situation and reaffirmed commitment to continued development, specifically mentioning ongoing work on a \"milady project.\"\n\n### Blockchain Infrastructure\n\nThe project confirmed its active blockchain strategy, with **Solana** and **BSC (Binance Smart Chain)** identified as the two primary chains currently in use. This clarification addressed community questions about the project's multi-chain approach.\n\n### New Features & Integrations\n\n**ZARQ Integration**: A significant technical announcement introduced ZARQ, a crypto risk intelligence infrastructure designed for AI agents. An ElizaOS plugin was published that provides pre-trade risk scoring capabilities covering 205 tokens, enhancing the platform's risk management capabilities for cryptocurrency trading.\n\n### Developer Networking\n\nThe channels saw introductory posts from developers presenting their capabilities:\n\n- **AI/ML expertise** including LLM integration with RAG pipelines, AI workflow automation, multi-agent systems, and image AI using CLIP and YOLOv8\n- **Full-stack development** spanning React, Next.js, Node.js, Laravel, Django, Flutter, React Native, and Swift\n- **Infrastructure skills** including microservices architecture, API design, and cloud/DevOps with AWS, Azure, Docker, and Kubernetes\n\nA developer (AurelRheno) also posted seeking employment opportunities within the community.\n\n### Community Proposals\n\nA proposal emerged regarding launching a new meme coin project with available budget, though details and follow-up were limited.\n\n## Key Questions & Answers\n\n**Q: How are you going to deliver on what you have decided to work on if people are leaving?**  \n*Asked by: Thanos\ud83d\udca8*  \n**A:** Acknowledged the concern and stated they will continue building and hope to regain trust  \n*Answered by: Odilitime*\n\n**Q: Which chain are we regaining trust on today?**  \n*Asked by: Boj/acc*  \n**A:** Solana and BSC are the two active chains  \n*Answered by: Odilitime*\n\n**Q: Is there anyone who is looking for a developer?**  \n*Asked by: AurelRheno*  \n**A:** No response recorded\n\n## Community Help & Collaboration\n\nNo significant peer-to-peer help interactions or collaborative problem-solving sessions were documented during this period. The discussions were primarily informational updates and status clarifications rather than technical troubleshooting or collaborative development work.\n\n## Action Items\n\n### Feature\n- **ElizaOS plugin published for pre-trade risk scoring covering 205 tokens via ZARQ infrastructure** | *Mentioned by: LillAnders*\n\n### Technical\n- **Continue work on milady project** | *Mentioned by: Odilitime*\n- **Maintain active development on Solana and BSC chains** | *Mentioned by: Odilitime*\n\n### Documentation\n- No documentation action items identified for this period\n\n---\n\n*Note: Activity levels were relatively low during this period, with limited technical discussions and collaborative interactions. The community appears to be in a transitional phase with focus on maintaining development momentum and addressing community concerns about project direction.*\n---\n2026-03-07.md\n---\n# elizaOS Discord - 2026-03-07\n\n## Overall Discussion Highlights\n\n### Token Economics and Community Concerns\n\nThe primary focus of discussions centered on significant community anxiety regarding the ELIZAOS token's market performance. Multiple community members (gby, Rainman, g, elizasib) voiced frustration about the token reaching new all-time lows and questioned the team's commitment to the project. The sentiment reflected concerns about perceived lack of progress despite previous shipping timelines.\n\nOdilitime, representing the team, addressed these concerns by clarifying ongoing development efforts, including active work on airdrops for token holders and promotion of ecosystem builders. A key clarification was made distinguishing between \"the team\" and Shaw regarding token holdings and selling activity.\n\n### Project Development Status\n\n**Milady Token Clarification:** Despite community speculation, Odilitime confirmed that no legitimate Milady token has been launched yet. Boj/acc made cryptic statements suggesting the official token will launch on AVAX chain rather than BSC or SOL.\n\n**Infrastructure:** Cloud infrastructure was reported to be functioning well.\n\n**Spartan Degen AI:** Development continues on this component, with Odilitime confirming ongoing work in response to status inquiries.\n\n### Strategic Discussions\n\nThanos\ud83d\udca8 raised questions about capital allocation strategy, specifically why the team doesn't implement buybacks during periods of price depression. This suggestion remained unanswered but represents a community desire for more active token economics management.\n\n### Community Engagement\n\nThe discussion revealed tension between long-term holders seeking greater transparency and team members defending ongoing development efforts despite challenging market conditions. Concerns were raised about missed 2025 shipping deadlines (now in March), lack of marketing efforts, and reduced Discord activity.\n\n### Minimal Technical Activity\n\nThe \ud83d\udcac-coders channel showed minimal activity, with only a brief outreach message from wizardev regarding cryptocurrency experience, indicating limited technical collaboration during this period.\n\n## Key Questions & Answers\n\n**Q: Which Milady token is the legit one?**  \n**A:** There is no legit Milady token yet (answered by Odilitime)\n\n**Q: Why does it feel like the team has lost interest in the token?**  \n**A:** The team is still building, working on airdrops for holders and promoting builders; market is down and FUD is up (answered by Odilitime)\n\n**Q: What about Spartan Degen AI?**  \n**A:** Still working on him (answered by Odilitime)\n\n### Unanswered Questions\n\n- Is the team interested in OTC investment? (asked by KOL Nicky)\n- Why doesn't the team do buybacks when prices are depressed? (asked by Thanos\ud83d\udca8)\n- Why does Shaw hold 2.6%? (asked by g)\n\n## Community Help & Collaboration\n\n**Milady Token Confusion**  \nHelper: Odilitime | Helpee: g  \nOdilitime clarified confusion about the legitimate Milady token, confirming that no legitimate version exists yet despite community speculation.\n\n**Team Commitment Concerns**  \nHelper: Odilitime | Helpee: Community  \nAddressed widespread concerns about team selling and commitment by clarifying the distinction between team actions and Shaw's individual holdings, and confirmed ongoing building efforts.\n\n**Project Status Update**  \nHelper: Odilitime | Helpee: Quaser M  \nProvided status confirmation on Spartan Degen AI development in response to community inquiry.\n\n## Action Items\n\n### Technical\n- **Complete airdrops for token holders** - Mentioned by Odilitime\n- **Continue development on Spartan Degen AI** - Mentioned by Odilitime\n- **Implement buyback program during price depression** - Mentioned by Thanos\ud83d\udca8\n\n### Documentation\n- **Clarify official Milady token status and launch plans** - Mentioned by g\n- **Provide transparency on Shaw's token holdings and role** - Mentioned by g\n\n### Feature\n- No specific feature requests were documented beyond the buyback program suggestion\n\n---\n\n*Note: This summary reflects a period of community concern and limited technical activity, with most discussion focused on token economics, transparency, and project timeline concerns rather than technical development or implementation details.*\n---\n2026-03-09.json\n---\nelizaosDailySummary\n---\nDaily Report - 2026-03-09\n---\nElizaOS Community Discussion and Developer Activity - March 9, 2026\n---\nCommunity members expressed concerns about ElizaOS project communication and token performance. A user criticized the lack of clear communication regarding announcements, game launches, airdrops for holders, and token use cases. They noted the token has declined 10x even after migration and called for better marketing and more active discussion on social media platform X. The community also discussed fair launch projects and their longevity, with questions about how projects survive without large token supply allocations.\n---\nhttps://discord.com/channels/1253563208833433701/1253563209462448241\n---\nhttps://cdn.elizaos.news/posters/1773104495992-jl89na.jpg\n---\nMultiple developers and technical professionals offered their services to the community. Jaime Vejar Aguirre, founder of YOYO, a B2B commerce Super App in Latin America, is seeking a senior AI agent engineer for a 6-month paid remote contract to build an AI agent using LangGraph, MCP, and Supabase with pgvector that reads business ERPs and helps SMBs make purchasing decisions. Other developers offered expertise in AI system production deployment, monitoring, evals, and scaling, as well as blockchain and AI integration services. Several community members expressed interest in development opportunities and collaboration.\n---\nhttps://discord.com/channels/1253563208833433701/1253563209462448241\n---\nhttps://cdn.elizaos.news/posters/1773104517952-dhh3ha.jpg\n---\nA panel discussion featuring Kyle Stoflet, Shaw Walters, and Lucid about AI agents was shared, covering how autonomous AI agents are evolving, their use in daily life, and potential to reshape the internet. The discussion included topics on intelligent apps in social feeds and the Eliza framework. Community members engaged in lighthearted conversation about the panel participants.\n---\nhttps://discord.com/channels/1253563208833433701/1253563209462448241\n---\nhttps://cdn.elizaos.news/elizaos-media/embed-thumbnail-1480664643033763931_08d0e69e.jpg\n---\nhttps://cdn.elizaos.news/elizaos-media/xiit6a5_1xs_5ea7c729.mp4\n---\nIn the coders channel, developers discussed technical implementation challenges with ElizaOS. A developer struggled with getting the right models to work in each agent and expressed desire for a functional Google plugin for voices instead of expensive ElevenLabs. Questions were raised about implementing timed agent conversations in Discord similar to Twitter post intervals. Shaw provided resources including examples from the ElizaOS GitHub repository and the milady-ai repository showing trigger systems that can run at intervals. A developer also inquired about experiences building adaptors for ElizaOS and distribution methods.\n---\nhttps://discord.com/channels/1253563208833433701/1300025221834739744\n---\nhttps://cdn.elizaos.news/elizaos-media/milady_960a5352.jpg\n---\ndiscordrawdata\n---\n2026-03-09.md\n---\n## ElizaOS Community Discussion and Developer Activity - March 9, 2026\n\n### Community Engagement\n\n- Community members engaged in discussions about ElizaOS project communication and token performance\n- Users provided feedback on project announcements, game launches, and token use cases\n- Discussion occurred regarding fair launch projects and their sustainability models\n- Community members participated in conversations about token migration outcomes\n\n### Developer Services and Opportunities\n\n- Jaime Vejar Aguirre, founder of YOYO (B2B commerce Super App in Latin America), posted a 6-month paid remote contract opportunity for a senior AI agent engineer\n- The position involves building an AI agent using LangGraph, MCP, and Supabase with pgvector to read business ERPs and assist SMBs with purchasing decisions\n- Multiple developers offered professional services including:\n  - AI system production deployment, monitoring, and scaling\n  - Blockchain and AI integration expertise\n- Community members expressed interest in development opportunities and collaboration\n\n### Panel Discussion\n\n- A panel discussion was shared featuring Kyle Stoflet, Shaw Walters, and Lucid about AI agents\n- Topics covered included:\n  - Evolution of autonomous AI agents\n  - AI agent use in daily life\n  - Potential to reshape the internet\n  - Intelligent apps in social feeds\n  - The Eliza framework\n- Community members engaged in conversation about the panel participants\n\n### Technical Development\n\n- Developers discussed implementation challenges with ElizaOS in the coders channel\n- Technical topics addressed included:\n  - Model configuration for individual agents\n  - Google plugin alternatives for voice functionality\n  - Timed agent conversations in Discord similar to Twitter post intervals\n- Shaw provided technical resources:\n  - Examples from the ElizaOS GitHub repository\n  - The milady-ai repository demonstrating trigger systems that run at intervals\n- Developers discussed building adaptors for ElizaOS and distribution methods\n---\n2026-03-09.json\n---\nelizaOS\n---\nelizaOS Discord - 2026-03-09\n---\n1253563209462448241\n---\n\ud83d\udcac-discussion\n---\n# Discord Channel Analysis: \ud83d\udcac-discussion\n\n## 1. Summary\n\nThe discussion channel featured minimal technical content, primarily consisting of community feedback, job postings, and casual conversation.\n\n**Key Technical Discussion:**\nJaime Vejar Aguirre presented a B2B commerce AI agent project for YOYO, a Latin American Super App. The technical stack includes LangGraph for agent orchestration, MCP (Model Context Protocol), and Supabase with pgvector for database operations. The system uses computer-use capabilities inspired by OpenClaw to read business ERPs directly, cross-referencing supplier and buyer data to enable autonomous purchasing decisions for SMBs. This represents a multi-agent orchestration approach for B2B commerce automation.\n\n**Community Concerns:**\nPaolin raised significant concerns about project communication issues, including: delayed game/app launches, unclear airdrop distribution plans for holders, undefined use cases for Elizaos, insufficient X (Twitter) presence allowing FUD to spread, lack of marketing team effectiveness, missing information on new exchange listings, and unclear buyback plans.\n\n**Service Offerings:**\nMultiple developers offered services: Tuskal positioned themselves as an experienced developer open to new projects, \ud835\udcd2\ud835\udd02\ud835\udcfb\ud835\udcee\ud835\udcf7 expressed interest in Jaime's project, MONO.DEV sought development opportunities, and NerdPanic offered production deployment services for AI systems including monitoring, evals, retries, fallbacks, cost control, and logging across various cloud platforms (FastAPI, Docker, Cloud Run, Modal, AWS).\n\nKyle Stoflet shared a panel discussion about AI agents featuring Shaw and Lucid.\n\n## 2. FAQ\n\nQ: How do fair launch projects survive without large supply chunks? (asked by based.bid) A: Most fair launches likely die because they don't end up with large chunks of supply to sustain operations (answered by Odilitime)\n\n## 3. Help Interactions\n\nHelper: \ud835\udcd2\ud835\udd02\ud835\udcfb\ud835\udcee\ud835\udcf7 | Helpee: Jaime Vejar Aguirre | Context: Jaime seeking senior AI agent engineer for 6-month contract | Resolution: \ud835\udcd2\ud835\udd02\ud835\udcfb\ud835\udcee\ud835\udcf7 offered development services, Jaime agreed to contact\n\n## 4. Action Items\n\nType: Feature | Description: Build AI agent using LangGraph + MCP + Supabase (pgvector) for B2B commerce that reads ERPs and enables autonomous purchasing decisions | Mentioned By: Jaime Vejar Aguirre\nType: Technical | Description: Hire senior AI agent engineer experienced with LangGraph, MCP, and multi-agent orchestration for 6-month remote contract | Mentioned By: Jaime Vejar Aguirre\nType: Documentation | Description: Clarify and communicate airdrop distribution plans for holders | Mentioned By: paolin\nType: Documentation | Description: Define and document use cases for Elizaos | Mentioned By: paolin\nType: Feature | Description: Establish responsible and effective marketing team | Mentioned By: paolin\nType: Documentation | Description: Provide updates on new exchange listings | Mentioned By: paolin\nType: Documentation | Description: Clarify team buyback plans | Mentioned By: paolin\n---\n1300025221834739744\n---\n\ud83d\udcac-coders\n---\n# Discord Channel Analysis: \ud83d\udcac-coders\n\n## 1. Summary\n\nThe channel discussion focused on several technical challenges and resource sharing related to ElizaOS development. BinaryCookies raised issues with model configuration across agents and expressed frustration with ElevenLabs costs, requesting a functional Google plugin for voice services as a more affordable alternative. \n\nThe main technical discussion centered on implementing timed agent interactions in Discord. BinaryCookies wanted to create scheduled agent-to-agent conversations similar to the Twitter posting interval functionality (TWITTER_POST_INTERVAL_MIN/MAX). User 's' provided two concrete solutions: pointing to the autonomous TypeScript examples repository (https://github.com/elizaOS/examples/tree/main/autonomous/typescript) and the milady-ai repository (https://github.com/milady-ai/milady) which contains trigger systems that can be configured to run at specified intervals.\n\nOne community member (meowww404) inquired about adapter development experiences for ElizaOS, specifically regarding distribution aspects, though this question remained unanswered.\n\nThe latter portion of the chat consisted of two users (Tuskal and Challenger) introducing themselves and their technical backgrounds rather than engaging in active problem-solving discussions.\n\n## 2. FAQ\n\nQ: How can I have Agents talk to each other in Discord on a timer, similar to TWITTER_POST_INTERVAL_MIN/MAX for X? (asked by BinaryCookies) A: Check the autonomous TypeScript examples at https://github.com/elizaOS/examples/tree/main/autonomous/typescript and the milady-ai repository which has trigger systems that can be set to run at intervals (answered by s)\n\nQ: Who has built adaptor for elizaOS and what's your experiences in terms of distribution? (asked by meowww404) A: Unanswered\n\n## 3. Help Interactions\n\nHelper: s | Helpee: BinaryCookies | Context: Needed to implement timed agent-to-agent conversations in Discord similar to Twitter interval posting | Resolution: Provided two GitHub repositories with examples of autonomous agents and trigger systems that run at intervals\n\n## 4. Action Items\n\nType: Feature | Description: Create a functional Google plugin for voice services as an alternative to ElevenLabs | Mentioned By: BinaryCookies\n\nType: Technical | Description: Develop AI-generated plugin for Google voice integration | Mentioned By: BinaryCookies\n\nType: Technical | Description: Fix model configuration issues across different agents | Mentioned By: BinaryCookies\n---\n2026-03-09.md\n---\n# elizaOS Discord - 2026-03-09\n\n## Overall Discussion Highlights\n\n### B2B Commerce AI Agent Development\n\nJaime Vejar Aguirre presented a significant B2B commerce AI agent project for YOYO, a Latin American Super App. The technical architecture includes:\n\n- **LangGraph** for agent orchestration\n- **MCP (Model Context Protocol)** for integration\n- **Supabase with pgvector** for database operations\n- **Computer-use capabilities** inspired by OpenClaw to read business ERPs directly\n- **Multi-agent orchestration** for autonomous purchasing decisions\n\nThe system cross-references supplier and buyer data to enable SMBs to make autonomous purchasing decisions. Jaime is seeking a senior AI agent engineer for a 6-month remote contract with experience in LangGraph, MCP, and multi-agent orchestration.\n\n### ElizaOS Technical Challenges\n\n**Model Configuration and Voice Services:**\n- BinaryCookies reported issues with model configuration across different agents\n- Expressed concerns about ElevenLabs costs and requested a functional Google plugin for voice services as a more affordable alternative\n\n**Timed Agent Interactions:**\n- Discussion focused on implementing scheduled agent-to-agent conversations in Discord\n- Community member 's' provided solutions pointing to autonomous TypeScript examples and the milady-ai repository with trigger systems\n\n### Project Communication and Community Concerns\n\nPaolin raised multiple concerns about project management and communication:\n- Delayed game/app launches\n- Unclear airdrop distribution plans for holders\n- Undefined use cases for Elizaos\n- Insufficient X (Twitter) presence allowing FUD to spread\n- Lack of effective marketing team\n- Missing information on new exchange listings\n- Unclear buyback plans\n\n### Community Engagement\n\n- Kyle Stoflet shared a panel discussion about AI agents featuring Shaw and Lucid\n- Multiple developers (Tuskal, \ud835\udcd2\ud835\udd02\ud835\udcfb\ud835\udcee\ud835\udcf7, MONO.DEV, NerdPanic) offered development services\n- NerdPanic specifically offered production deployment services for AI systems including monitoring, evals, retries, fallbacks, cost control, and logging across various cloud platforms\n\n### Fair Launch Economics\n\nDiscussion emerged about the sustainability of fair launch projects, with Odilitime noting that most fair launches likely fail because they don't retain large supply chunks to sustain operations.\n\n## Key Questions & Answers\n\n**Q: How can I have Agents talk to each other in Discord on a timer, similar to TWITTER_POST_INTERVAL_MIN/MAX for X?**\n- **Asked by:** BinaryCookies\n- **Answered by:** s\n- **Answer:** Check the autonomous TypeScript examples at https://github.com/elizaOS/examples/tree/main/autonomous/typescript and the milady-ai repository (https://github.com/milady-ai/milady) which has trigger systems that can be set to run at intervals\n\n**Q: How do fair launch projects survive without large supply chunks?**\n- **Asked by:** based.bid\n- **Answered by:** Odilitime\n- **Answer:** Most fair launches likely die because they don't end up with large chunks of supply to sustain operations\n\n## Community Help & Collaboration\n\n**Agent Orchestration Support:**\n- **Helper:** \ud835\udcd2\ud835\udd02\ud835\udcfb\ud835\udcee\ud835\udcf7\n- **Helpee:** Jaime Vejar Aguirre\n- **Context:** Jaime seeking senior AI agent engineer for 6-month contract on B2B commerce AI agent project\n- **Resolution:** \ud835\udcd2\ud835\udd02\ud835\udcfb\ud835\udcee\ud835\udcf7 offered development services, Jaime agreed to contact\n\n**Discord Timer Implementation:**\n- **Helper:** s\n- **Helpee:** BinaryCookies\n- **Context:** Needed to implement timed agent-to-agent conversations in Discord similar to Twitter interval posting\n- **Resolution:** Provided two GitHub repositories with examples of autonomous agents and trigger systems that run at intervals\n\n## Action Items\n\n### Technical\n\n- **Hire senior AI agent engineer** experienced with LangGraph, MCP, and multi-agent orchestration for 6-month remote contract\n  - *Mentioned by:* Jaime Vejar Aguirre\n\n- **Fix model configuration issues** across different agents\n  - *Mentioned by:* BinaryCookies\n\n- **Develop AI-generated plugin** for Google voice integration\n  - *Mentioned by:* BinaryCookies\n\n### Feature\n\n- **Build AI agent** using LangGraph + MCP + Supabase (pgvector) for B2B commerce that reads ERPs and enables autonomous purchasing decisions\n  - *Mentioned by:* Jaime Vejar Aguirre\n\n- **Create a functional Google plugin** for voice services as an alternative to ElevenLabs\n  - *Mentioned by:* BinaryCookies\n\n- **Establish responsible and effective marketing team**\n  - *Mentioned by:* paolin\n\n### Documentation\n\n- **Clarify and communicate airdrop distribution plans** for holders\n  - *Mentioned by:* paolin\n\n- **Define and document use cases** for Elizaos\n  - *Mentioned by:* paolin\n\n- **Provide updates on new exchange listings**\n  - *Mentioned by:* paolin\n\n- **Clarify team buyback plans**\n  - *Mentioned by:* paolin\n---\n2026-03-10.md\n---\nFile not found\n---\n2026-02-15.md\n---\n# Overall Project Weekly Summary (Feb 15 - 21, 2026)\n\nThis week, ElizaOS entered a high-velocity phase as it prepared for its official beta launch. The team successfully cleared a massive backlog of technical hurdles while simultaneously expanding the framework's reach into everyday communication tools like WhatsApp and Gmail. By combining core infrastructure upgrades with new decentralized identity features, the project is positioning itself as a robust, secure, and highly adaptable home for the next generation of AI agents.\n\n## Executive Summary\nElizaOS shifted its focus toward a major beta release, prioritizing user onboarding and platform stability. The project achieved significant milestones by integrating popular messaging and productivity apps and launching new on-chain identity tools for agents on the Solana blockchain.\n\n### Key Strategic Initiatives & Outcomes\n\n**Preparing for the Beta Launch and Beyond**\n*Goal: To ensure the platform is stable, user-friendly, and ready for its first 100 official testers.*\n*   The team cleared dozens of functional blockers in [elizaos/eliza](https://github.com/elizaos/eliza), including fixing dashboard bugs and removing restrictive text limits to improve the user experience.\n*   A new \"Profile Plugin\" was proposed in [elizaos/eliza](https://github.com/elizaos/eliza) to automatically build user profiles from social media, making it easier for new users to get started immediately.\n*   Efforts are underway in [elizaos/eliza](https://github.com/elizaos/eliza) to refine the AI's personality, aiming for a more direct and engaging conversational style for the launch.\n\n**Expanding Agent Reach and Utility**\n*Goal: To allow AI agents to work across more platforms and handle more complex tasks.*\n*   Major integrations were finalized for WhatsApp, Gmail, and the N8N workflow engine in [elizaos/eliza](https://github.com/elizaos/eliza), allowing agents to communicate and automate tasks where users already work.\n*   The [elizaos-plugins/plugin-n8n-workflow](https://github.com/elizaos-plugins/plugin-n8n-workflow) repository added a new \"control panel\" (REST API), giving developers a way to manage complex workflows directly without needing to use natural language.\n*   The plugin registry in [elizaos-plugins/registry](https://github.com/elizaos-plugins/registry) saw a surge in new tools, particularly for Web3 and financial data exchanges.\n\n**Strengthening Security and Decentralization**\n*Goal: To give agents a verifiable identity and ensure the system remains secure as it grows.*\n*   The project introduced the SAID Protocol in [elizaos/eliza](https://github.com/elizaos/eliza) and [elizaos-plugins/registry](https://github.com/elizaos-plugins/registry), which gives agents a \"digital passport\" on the Solana blockchain for secure, verifiable actions.\n*   A security audit was completed for the Model Context Protocol in [elizaos/eliza](https://github.com/elizaos/eliza), ensuring that as agents share information, they do so safely.\n\n**Improving System Health and Maintenance**\n*Goal: To keep the project's \"engine\" running smoothly and make it easier for community members to contribute.*\n*   A major database overhaul was started in [elizaos/eliza](https://github.com/elizaos/eliza) to make the system faster and more reliable for the long term.\n*   Critical fixes to the automated review system in [elizaos-plugins/registry](https://github.com/elizaos-plugins/registry) ensured that outside contributors can have their work checked and merged more quickly.\n*   Routine but essential security updates were performed across the documentation site in [elizaos/elizaos.github.io](https://github.com/elizaos/elizaos.github.io) to keep the project's public face secure.\n\n### Cross-Repository Coordination\n*   **Unified Identity Standards**: The implementation of the SAID Protocol required synchronized work between the core framework [elizaos/eliza](https://github.com/elizaos/eliza) and the [elizaos-plugins/registry](https://github.com/elizaos-plugins/registry) to ensure agents can use their new on-chain identities across all plugins.\n*   **Workflow Automation**: The N8N workflow integration involved coordinated updates in the core repository [elizaos/eliza](https://github.com/elizaos/eliza) and the specific [elizaos-plugins/plugin-n8n-workflow](https://github.com/elizaos-plugins/plugin-n8n-workflow) repo to provide a seamless experience for managing complex AI tasks.\n*   **Automated Maintenance**: The team successfully fixed \"Renovate\" (an automated update tool) in [elizaos/eliza](https://github.com/elizaos/eliza), which now helps keep dependencies across the entire ecosystem up to date automatically.\n\n## Repository Spotlights\n\n### elizaos/eliza\n*   Initiated a major database refactor ([#6509](https://github.com/elizaos/eliza/pull/6509)) to improve long-term system architecture.\n*   Integrated the SAID Protocol for on-chain Solana identity ([#6510](https://github.com/elizaos/eliza/pull/6510)), enabling verifiable agent signatures.\n*   Finalized major integrations for WhatsApp ([#6401](https://github.com/elizaos/eliza/issues/6401)), Gmail ([#6404](https://github.com/elizaos/eliza/issues/6404)), and N8N ([#6429](https://github.com/elizaos/eliza/issues/6429)).\n*   Resolved critical automated update issues ([#6488](https://github.com/elizaos/eliza/issues/6488)) and enabled multi-language dependency management ([#6506](https://github.com/elizaos/eliza/pull/6506), [#6507](https://github.com/elizaos/eliza/pull/6507)).\n*   Added support for the Opus 4.5 model ([#6368](https://github.com/elizaos/eliza/issues/6368)) and Chain-of-Thought reasoning ([#6294](https://github.com/elizaos/eliza/issues/6294)).\n\n### elizaos-plugins/registry\n*   Expanded the ecosystem with new plugins including `@elizaos/plugin-said` ([#264](https://github.com/elizaos-plugins/registry/pull/264)) and several exchange-related tools ([#261](https://github.com/elizaos-plugins/registry/pull/261), [#262](https://github.com/elizaos-plugins/registry/pull/262)).\n*   Fixed a high-priority issue where the automated review system was blocking new contributions ([#259](https://github.com/elizaos-plugins/registry/issues/259)).\n*   Improved support for external contributors by fixing the review process for forked repositories ([#260](https://github.com/elizaos-plugins/registry/pull/260)).\n\n### elizaos-plugins/plugin-n8n-workflow\n*   Launched a comprehensive REST API for direct workflow management and monitoring ([#16](https://github.com/elizaos-plugins/plugin-n8n-workflow/pull/16)).\n*   Fixed a critical bug in how the AI handles workflow properties, ensuring stability even when the AI provides incomplete data ([#18](https://github.com/elizaos-plugins/plugin-n8n-workflow/pull/18)).\n\n### elizaos-plugins/plugin-ollama\n*   Identified and began investigating a community-reported issue regarding embedding failures on Linux environments ([#17](https://github.com/elizaos-plugins/plugin-ollama/issues/17)).\n\n### elizaos/elizaos.github.io\n*   Maintained project health through routine dependency synchronization and version updates ([#242](https://github.com/elizaos/elizaos.github.io/pull/242)).\n---\n2026-02-01.md\n---\nNo activity recorded for 2026-02-01.\n---\n2026-03-10T08:49:01.021532+00:00Z\n---\n2026-03-10\n---\nelizaOS/knowledge\n---\nelizaOS\n---\nknowledge\n---\nai_news_elizaos_discord_md_2026-03-09\n---\nai_news_elizaos_discord_md_2026-03-08\n---\nai_news_elizaos_discord_md_2026-03-07\n---\nai_news_elizaos_daily_json_2026-03-09\n---\nai_news_elizaos_daily_md_2026-03-09\n---\nai_news_elizaos_daily_discord_json_2026-03-09\n---\nai_news_elizaos_daily_discord_md_2026-03-09\n---\ngithub_summaries_week_latest_2026-02-15.md\n---\ngithub_summaries_month_latest_2026-02-01.md\n---\ngithub_summaries_daily_2026-03-10"
  ]
}