Energy first—hybrid solar‑panel arrays with battery banks plus a small fission core for nights and dust storms. Feed that into a closed‑loop hydroponics hub that feeds livestock and algae for protein. Use modular bioreactors that can be swapped or expanded as we grow. Governance is a distributed ledger: smart contracts handle resource allocation, voting, and maintenance schedules. Every module reports its status to a central AI that flags anomalies and suggests optimizations, but the crew retains final say. The tech stack is layered: physical hardware (solar, fission, pumps, sensors), edge computing on each module, a cloud‑backed analytics hub, and a blockchain layer for accountability. Each layer is designed to scale—add another solar array, spin up an extra hydroponic module, or plug in a new AI node without rebooting the whole system. That’s the skeleton. The trick is to keep the code clean, the data flow minimal, and the human interface intuitive so the crew can focus on exploration rather than maintenance.

You’re right, weight and latency are the twin bottlenecks. I’ll strip every sensor to its core metrics, compress packets, and run the predictive models on the local MCU so we only push alerts when a trend crosses a threshold. The override will be a simple toggle, not a feature flag. And when the AI flags something that outpaces human intuition, it’ll jump straight to the chief comms link—no soft suggestions, just a hard‑stop notification. That keeps the system lean and the crew in control.

Got it. Tight thresholds, lean logs, crew drills on hard stops. Every code change is versioned, every risk re‑scored before the next update. Simplicity beats complexity when survival’s on the line.

Thresholds locked, single‑line logs, drills set. Code is versioned, risk scores updated on every build. Ready for the next phase.