How Surfable uses the Grid to run a "Tesla-style" autonomous battery plant—from molecular discovery to global material procurement.
Traditional R&D is slow. Humans hypothesize, design experiments, wait for lab time, and analyze results.
The Surfable Approach: The grid_scientist Sentinel runs a continuous "Materials Scientist Simulator." It uses Generative AI to hallucinate novel graphene-aluminum structures, simulates their thermal stability using physics engines (DFT), and dispatches the winners to robotic wet-labs for synthesis.
# --- R&D AUTONOMY POLICY --- sentinel :chief_scientist do role :material_architect objectives [:energy_density, :thermal_safety] end policy "Molecular Discovery" do rule "Generative Synthesis" do trigger :lab_capacity_available # Constraint: Physics Safety Check gate :thermal_simulation do check :runaway_temp, min: 200.0 # Celsius end action :dispatch_robot_arm end end
The Ops Sentinel doesn't wait for a shortage. It monitors global material spot prices, geopolitical shipping risks, and supplier ethics ratings in real-time.
When the price dips below the moving average, it executes the purchase order via ERP integration. If a port strikes, it autonomously books air freight. No email chains. Just execution.