Brandon & Max / Ground Level AI Agent Development
Brandon detailed his process of slowly building an economics-focused AI agent (referring to it as being “in the womb”), emphasizing meticulous prompting and restricted autonomy to avoid errors. Max and Brandon discussed the general industry hype versus the reality of AI control, sharing anecdotes illustrating the risks of giving agents unfettered access to accounts and wallets.
Gregory’s Repo / Agentic Tokenomics
The team briefly discussed Gregory’s newly formalized “Regen Agentic Tokenomics” GitHub repository, recognizing it as a clean, structured environment where anyone leveraging AI can incrementally contribute value to the network’s tokenomics design.
Max & James / Ecosystem Economics & Market Positioning
Max and James explored the profitability and sustainability of the network’s validators. They discussed the original vision of Regen capturing a competitive, high-volume carbon market versus the reality of shifting focus toward harder-to-scale biodiversity “long-tail” credits (like Jaguars). They noted that major credit sales currently rely heavily on OTC (Over-The-Counter) promotional efforts by the R&D team rather than organic marketplace volume.
Max & James / “Plan B” Chain Migration Scenarios
In facing the unprofitability of holding a standalone chain, Max proposed a “Plan B” scenario. This thought experiment included capping inflation, snapshotting current token ownership, and relaunching the Regen token as an ERC-20 governance token on a cheaper chain (like Base). This token would act as the “brain” for a DAO treasury focused exclusively on marketing and driving eco-credit sales, rather than serving as gas for an expensive standalone infrastructure.