Falcon Finance defines an Agent scheduling layer designed to coordinate execution timing, resource allocation, and deterministic ordering for autonomous Agents operating within an EVM-compatible protocol. This layer ensures that concurrent Agent activity is aligned with protocol constraints and executed in a reproducible manner.
The scheduling layer operates after intent validation and policy enforcement. It assigns execution priority, resolves timing dependencies, and manages concurrency boundaries between multiple Agent-generated actions. By standardizing execution order through deterministic rules, the protocol prevents race conditions while preserving predictable system behavior.
Autonomous Agents submit structured execution requests that specify required resources and dependency conditions. The scheduling layer does not alter Agent logic; instead, it evaluates request compatibility, resolves conflicts, and assigns execution slots according to protocol-defined scheduling policies. This approach enables scalable automation without introducing nondeterministic outcomes.
Identity governance is integrated into the scheduling process through a three-layer model. Cryptographic identities authenticate the origin of scheduling requests. Behavioral identities provide verifiable execution history relevant to priority assignment. Operational identities define which scheduling domains and execution windows an Agent or participant may access.
Real-time operation is supported through continuous scheduling cycles. The layer dynamically evaluates system load, liquidity availability, and dependency constraints before finalizing execution sequences. All approved actions are grouped into deterministic batches, ensuring reproducible state transitions across network conditions.
The protocol’s dual-phase token structure complements the scheduling layer by separating operational execution costs from governance incentives. The operational token supports scheduling computation and execution fees, while the governance-phase token governs long-term incentive alignment and protocol evolution.
Falcon Finance’s Agent scheduling layer establishes a structured foundation for scalable and deterministic automation, ensuring that autonomous execution remains orderly, auditable, and aligned with protocol-level constraints.
