On-chain actions today require constant manual input, even when the intent stays the same.

The idea of an AI Twin is to encode that intent once by defining clear rules such as risk limits, governance preferences, and execution boundaries, then allow a programmable agent to operate strictly within those constraints.

Every action remains authorized, auditable, and identity-bound, meaning the system does not replace human control but enforces it more efficiently.

This is the direction @Quack AI Official is exploring: turning human intent into structured, rule-based on-chain execution rather than relying on repetitive manual approvals.