# On-chain & Off-chain Logic

inD Robotics is built around a clear separation of concerns.\
Not everything belongs on-chain, and not everything can remain off-chain.

The system deliberately splits execution to preserve performance, security, and economic integrity.

#### Off-Chain Execution

Most cognitive and coordination logic operates off-chain.

This includes:

* agent reasoning and decision-making
* state evaluation and intent generation
* real-time coordination and messaging
* high-frequency interactions between agents

Off-chain execution allows agents to operate with low latency, high throughput, and flexible compute requirements. It also enables the use of diverse models and infrastructures without on-chain constraints.

#### On-Chain Settlement & Enforcement

On-chain logic is reserved for what requires trust minimization and verifiability.

This includes:

* payment settlement and value transfer
* economic incentives and rewards
* permissioning and execution limits
* auditability and accountability

By anchoring these components on-chain, MinD Robotics ensures that economic outcomes and critical rules are enforceable, transparent, and resistant to manipulation.

#### Coordinated Boundaries

The boundary between off-chain and on-chain logic is explicit.

Actions decided off-chain can trigger:

* conditional payments
* streaming settlements
* enforcement of predefined constraints

This design allows agents to act freely while remaining economically and operationally accountable.

#### Why This Split Matters

Autonomous systems require speed and flexibility, but also trust.

MinD Robotics combines:

* off-chain execution for efficiency
* on-chain settlement for security

This balance enables scalable autonomous coordination without sacrificing economic integrity.
