Weekly Meetups
Our working group meets weekly to discuss tokenomics, governance, and ecological impact strategies. All meetings are recorded and minutes are published for transparency.
2026
Regen Compute, AI Alignment & Coin Store
Discussions centered around the upcoming Coin Store token listing, the roll-out of the Regen Compute app, an innovative Regen AI Alignment strategy, and deep dives into technical workflows using AI agents.
Coin Store Listing, Regen Compute GTM & Collaboration Workflows
The group discussed formulating a go-to-market strategy for the Coin Store exchange listing utilizing the Regen Compute app, exploring ideas around AI agent alignment, and refining GitHub collaboration workflows for agentic contributions.
AI Agent Autonomy, Tokenomics Realities & Plan B Discussions
The group engaged in deep conversation around the nuances of creating autonomous AI agents, the harsh economic realities facing current validators, the network's market positioning within carbon vs. biodiversity credits, and potential 'Plan B' migrations to base layer chains.
Meta-Spec, Agents & Market Signals
A deep dive into REGEN's evolving tokenomics meta-spec, coordination tooling, AI agents for contribution tracking, and experimental market intelligence via Polymarket.
From Rewards to Revenue — Charting the Path Forward
The working group discussed the Coinstore listing update, explored Max's new institutional flywheel model linking eco-credit sales to network sustainability, clarified the upgrade roadmap from proof-of-stake rewards to fee-based coordination, and touched on AI agents for governance synthesis.
Economic Logic Sprint & AI Integration
The group discussed formalizing REGEN's economic logic with a focus on fixed supply caps, proof of authority transitions, and linking token value to ecological outcomes.
From Thesis to Action
A working session focused on turning Regen Ledger tokenomics research into concrete action. The group aligned on a Q1 sprint to prototype a supply-capped, dynamic mint-burn model tied to ecological value.