Two phases. One clear goal.
1
Phase 1 — Visual Draft
Make the idea visible quickly
Define agents, exchanges, blockchain reason, and human approval rule.
- →Choose a scenario
- →Define 3+ agents and what they exchange
- →Generate your Phase 1 OpenClaw prompt
- →Get a 60-second explanation script
2
Phase 2 — Functional Simulation
Make the system credible
Add rules, data, ledger, failure modes, and realism judgment.
- →Write a smart contract IF/THEN rule
- →Define oracle data dependency
- →Self-assess your model
- →Prepare a 90-second defense
The core class question
“Can AI agents coordinate economic activity with other agents, and under what conditions should humans trust them?”
Classroom prototype — simulated data only
No real wallets. No real crypto. No real payments. This is a learning tool for understanding machine economy logic.