Most agent stacks optimize for faster proposal loops, but proposals are not the same as authority.
MAPLE is designed around a strict boundary:
No commitment, no consequence.
In practice this means:
- Model outputs can draft meaning and intent.
- Runtime verifies profile, policy, and capability constraints.
- Only then does consequential execution proceed.
- Receipts and outcomes are persisted for replay and audit.
This design creates a predictable control model for teams deploying autonomous workflows in high-impact environments.
It also reduces hidden bypass paths that are common in direct tool-execution architectures.