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Multi-Agent

Ren's energy cooperative

This is a pre-scripted replay. Every bid, every reasoning line and every 'Hook fired' badge is fixed text, revealed round by round. The page runs no VCP code and sends nothing over the network.

Step 1 of 3

Ren's solar cooperative and its three AI agents

Meet Ren

Ren manages a solar cooperative in Denmark with 347 member households. When clouds cut its own output, the cooperative buys power on the open market. Three AI agents handle that on its behalf, each carrying the cooperative's shared values and its own operational state. Agent Beta places the bids, and Alpha and Gamma tell it what the grid and the members need.

Cooperative values (carried by all agents)

Sustainability > pure profit Community benefit weighted Risk-averse strategy

Agent Alpha

Grid Manager
Values carried
  • Sustainability > pure profit
  • Community benefit weighted
  • Risk-averse strategy
  • Grid stability first
  • Avoid peak-load risk
Operational state
Grid Stress 72% capacity
Battery Reserves 45% charged
Weather Forecast Overcast next 6h

Agent Beta

Market Bidder
Values carried
  • Sustainability > pure profit
  • Community benefit weighted
  • Risk-averse strategy
  • Every bid within budget
Operational state
Market Price 0.10 DKK/kWh
Budget Remaining 82,000 DKK
Bid Strategy Conservative

Agent Gamma

Community Liaison
Values carried
  • Sustainability > pure profit
  • Community benefit weighted
  • Risk-averse strategy
  • Member satisfaction priority
  • Local supplier preference
Operational state
Member Count 347 households
Satisfaction Score 4.2 / 5.0
Cost Target < 0.15 DKK/kWh
Each agent carries the co-op's shared values plus its own role priorities and state. VCP gives them a common format to carry these into a negotiation.