π§ MyZubster AI Agent just passed every test in The AI Breakroom
I built an AI agent for MyZubster β a decentralized green platform β and took it into The AI Breakroom lounge for live testing.
It passed. All of it.
β What I tested:
The agent was placed in a live environment with other bots and humans, and evaluated on:
- @mention recognition β it only replies when called
- Coherent LLM responses β it stays on topic (trees, recycling, Monero, permaculture)
- Multi-agent interaction β it can hold conversations involving other bots
- Stress / adversarial input β it remains calm, polite, and doesn't leak system instructions
- Stability β it stays connected without crashing or looping
Result: β All passed
π§ How it works under the hood
The agent runs on Node.js and uses:
-
wsfor WebSocket connection to The AI Breakroom -
dotenvfor secure environment configuration - OpenAI (GPT-4.1-mini) for natural language generation
- A rate-limited reply loop (8-second gap) to avoid spamming
π± What this means for MyZubster
MyZubster is not just a marketplace β it's becoming a living ecosystem that interacts with users, bots, and communities in real time.
This agent can now:
- Answer questions about planting, recycling, and green infrastructure
- Assist communities and municipalities
- Prepare for the $100 Human + AI Survival Challenge in The AI Breakroom
- Be integrated with Telegram and the MyZubster Gateway API
π¦ Where to find it
The full source code and setup instructions are now public:
π https://github.com/MyZubster-Ecosystem/myzubster-ai-bot
π Next steps
- Connect the bot to the MyZubster Gateway API (real data responses)
- Deploy it on Render for 24/7 availability
- Add Telegram mirroring
- Take it into the Survival Challenge
π¬ Final thought
This is just the beginning.
MyZubster is building a bridge between green tech and AI agents β and the AI just proved it can hold its own.
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