Introduction to Stage 6
AI × Crypto Engineering. Let models participate in decisions without controlling funds—proposal, validation, simulation, execution, and auditing.
The questions this stage addresses
This is what distinguishes Technical Crypto OS.
For a system that makes decisions and spends money autonomously, the engineering challenge is letting an unreliable component participate safely in an irreversible system.
The answer is layering: models propose, deterministic systems validate, and execution systems execute. This stage implements those layers, then builds tools, wallets, payments, and complete agents on top.
Six chapters
Can an AI-written contract go to mainnet?
How can the model participate in decisions without controlling funds?
How can agents really use on-chain tools?
Which safety switches should an agent's wallet have?
What checks must an agent pass before rebalancing?
Where are the boundaries of a system that can earn and spend money on its own?
After this stage
You can deliver an agent fit to run independently: a wallet, a budget, a policy engine, a one-action shutdown, and a complete audit log.
Stage artifact: An on-chain agent.
Study suggestions
- Read AI's Place in Crypto OS first. Everything in this stage builds on that Safety Stack.
- T32 is the foundation. Spend twice as much time on it; the following four chapters build on it.
- Use testnets for all fund-related work. Real assets appear only in the capstone, after security acceptance.