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Implementation (v0.1)

The implementation of the RIGOR protocol consists of the set of tools and practices that translate a formal specification into a deterministic, verifiable, and executable system.

1. The Implementation Pipeline

Any RIGOR-compliant implementation must follow a strict lifecycle of Validation before Execution:

  1. Specification Phase: Definition of the Constraint Contract (YAML).
  2. Validation Phase: Pre-execution verification (Schema, Structural, Semantic, and Executability).
  3. Artifact Generation: Automatic translation of the specification into target implementation artifacts (Code, Diagrams, DDLs).
  4. Execution Phase: Running the deterministic state machine within the RIGOR Engine.
  5. Evolution Phase: Managing structural changes through version classification and migrations.

2. Core Implementation Pillars

2.1 The Validation Engine

The primary gatekeeper. No specification enters the implementation phase without a valid: true compliance report. This ensures that every process instance is structurally sound from its inception.

2.2 Deterministic State Machine

The implementation of states and transitions must be pure and deterministic. Side effects are isolated into emit_command and invoke effects, ensuring that the core state transition logic is always predictable and testable.

2.3 Strict Persistence

Implementation requires an ACID-compliant persistence layer. Every transition is an atomic transaction that includes:

  • Updating the current state.
  • Applying context modifications.
  • Logging the event for a permanent audit trail.

3. Getting Started

To implement a RIGOR-compliant system, follow these steps:

  1. Define the Specification: Use the Spec Reference to author your processes and events.
  2. Run the Validator: Use the CLI to confirm your specification's integrity.
  3. Generate Implementation Code: Automatically create the state machine skeletons and data models for your target environment.
  4. Configure the Engine: Deploy the runtime that will handle event ingestion and state persistence.
  5. Integrate with CI/CD: Ensure every version change is validated and classified before being deployed to production.

This implementation guide provides the technical foundation to build systems where structural precision is the primary guarantee of stability.

AI Constraint Protocol