This session covered technical issues with Relay's bridge capabilities, beta testing of our AI Assistant for the Regen Tokenomics knowledgebase, Coinstore Alpha's launch on Base blockchain, and the initiation of agent-based modeling research to optimize $REGEN economic incentives for maximum ecological impact.
Recording & Transcript
Projects
Notes
Relay is down
so no bridge capabilities were available at the moment of the meeting
AI bot
We’ve been beta testing the AI Assistant for Regen Tokenomics knowledgebase in Notion. With the tools like n8n_io n8n.io - AI workflow automation tool you can add your Notion (page or space) with the API to any AI model. There’s a lot more to it, but that’s the simplest version with some instructions given to the context of the usage via system message
We could to add it to the website as a support plugin, but ask people’s feedback first to give better results and avoiding personal data leakages.
Try it out here: Chat
Mark / Coinstore alpha on base
Coinstore Alpha is a one-click cryptocurrency listing service that allows projects to launch on major blockchains (Solana, BSC, Base) within 30 minutes without complex DEX operations or market makers. It offers two pricing tiers ($5,000 Basic, $7,000 Advanced) and provides faster deployment, built-in liquidity, and lower barriers compared to traditional CEX listings, making it ideal for early-stage projects seeking quick market access with features like alpha campaigns and listing banners.
Embed Google Drive
Max / Agent-Based Modelling Research
Work Together @community pool: “For each $REGEN spent by the network, what activity generates the highest marginal ecological + economic benefit?” // which network activities, if subsidized, create the strongest ecological + economic outcomes?
- Rewards for eco assets / activities / outcomes
- Collaterize eco projects finance / insure eco outcomes (derisk the project)
- Liquidity enhanced by $REGEN for eco assets (when you preselling or whatever)
Additionally: If people need cash to spend for the project, if we use $REGEN for collateral – there would be dumping. What is the benefit for the person investing or is doing projects. Compare with other competitors.
Option A – ABM in cadCAD
- Agents: LPs, credit issuers, validators, speculators.
- Each agent type has a decision rule that is more likely to “act” if subsidies exist.
- Sweep subsidy allocation ratios (e.g., 40% liquidity, 30% issuance, 30% staking).
- Run Monte Carlo to see which mixes produce best ecological + economic outcomes.
Option B – System Dynamics
- Stocks: treasury balance, eco-credits issued, eco-credits retired, staked REGEN.
- Flows: issuance to subsidies, subsidies to activities.
- Vary allocation fractions, track long-term equilibria.