Canon² — Trust Layer Research Archive. Modern distributed computing has historically relied upon probabilistic consensus mechanisms—such as Proof-of-Work and Proof-of-Stake—to secure state transitions across decentralized networks. These models evaluate the validity of a transaction entirely upon the weight of the underlying cryptographic expenditure or financial collateral, without inspecting the semantic content or structural objective of the payload itself. I propose a fundamental paradigm shift: Proof-of-Intent (PoI). By elevating "intent" to a first-class computational primitive, deterministic ecosystems can sequence, validate, and execute operational states based upon the cryptographic verification of the initiator's structural objective rather than arbitrary hash power or capital accumulation. Proof-of-Intent formalizes a requested operation into a rigid, deterministic Intent Tuple. This tuple binds mathematically to the Trust Layer Certificate Fabric through SHA3-256 hash commitment, locking agent identity directly to explicit execution parameters. By utilizing Lume-V envelopes and Deterministic AI Guided Subsystems (DAIGS) arbitration heuristics, PoI creates an environment for synthetic organism evolution, cyber-physical governance, and multi-agent coordination where every state transition carries verifiable semantic context. Nodes running PoI validate transactions by hashing the execution intent and checking adherence to local and global algorithmic governance constraints. Because the system rejects structurally flawed or contradictory intents before physical execution cycles are expended, Proof-of-Intent achieves what is, to my knowledge, unprecedented throughput and finality guarantees, bypassing the probabilistic race conditions inherent in classical consensus schemas.
Ronald Jason Andrews (Thu,) studied this question.