I’m building an operating system for land and ownership across physical energy infrastructure.
Oil & gas, wind, solar, transmission, data centers.
This account documents the build.
@iruletheworldmo Can you tell the group how exactly you are utilizing it. I’ve built 6 bots but I don’t feel like I’m getting much out of it that I wasn’t already getting from open claw
Episode 10 is live: Chevron as an infrastructure landlord, data-center power costs, and why “rogue AI” often means weak controls. Derrick and Packer connect it to E&P automation.
Listen: https://t.co/REjghmubby
@thsottiaux We need codex to have a mode that auto switches between the models as it works depending on the strength of model needed at the time for the task.
@XFreeze Scaling to that level still bottlenecks on the physical layer.
Land, rights, permitting, and coordination determine how fast energy actually materializes.
@PeterDiamandis Abundance still bottlenecks on the physical layer.
Land, rights, and coordination remain manual — that’s where AI quietly unlocks real-world scale.