The Grammar of Modern Money: Introducing the Three-Color Evaluation Stack

Building infrastructure for stablecoins isn't just about moving tokens from point A to point B. It's about orchestration. Whether it's corridor routing, liquidity paths, FX decisions, or compliance, every workflow needs a standardized way to make decisions that are safe and rational.

We are introducing a canonical evaluation stack for the StablecoinRoadmap platform—the Three-Color Primitive—that governs every transaction.

To prove the model, we are applying it first to our simulation module using a pure stablecoin corridor (USDC: US → LATAM). This is the blueprint for everything that follows.

The Three-Color Primitive

We have categorized every decision point in a transaction lifecycle into three distinct layers:

• 🟨 Rules: Deterministic, hard fences.
• 🟦 LLM Judges: Contextual, reasoning engines.
• 🟩 Human/Ops: High-level sign-off and exception handling.

The "Hello World" Blueprint: US to LATAM

We are stripping away the noise (no UPI, no legacy fiat rails yet) to build the "Simulation Version" of this flow.

The Use Case: A US User pays a LATAM Merchant via a stablecoin rail (USDC).
The Flow: On-ramp → Chain Execution → FX → Off-ramp.

Here's how the Three-Color Primitive works in this transaction:

This is the simplest version of the system that is fully stablecoin-native and works across all corridors. Anything more complex is unnecessary bloat; anything simpler compromises safety.

Deep Dive: The Logic Behind the Colors

Why split the stack this way? Because different parts of a transaction require different types of intelligence.

🟨 The Rule Layer (Deterministic)

• Function: Hard fences.
• Philosophy: These checks are "dumb" on purpose. They catch structural violations, not nuances.
• What it handles: Jurisdiction blocks, asset whitelists, regulatory thresholds, slippage bounds, and oracle freshness.

This layer ensures the system is predictable.

🟦 The LLM Judge Layer (Interpretative)

• Function: Context and Reasoning.
• Philosophy: This turns the platform into a brain. It doesn't just execute; it understands.
• What it handles: Is this path rational? Is the fee structure fair? Does the on-chain data match the off-chain narrative?

This layer provides agentic trust, handling safety scoring, anomaly detection, and explainability.

🟩 The Ops/Editor Layer (Human-in-the-Loop)

• Function: The Gold Label.
• Philosophy: Sparse and high-value. We don't want humans clicking buttons for every transaction.
• What it handles: New corridor introductions, dispute resolution, and high-risk regulatory reporting.

Every time a human interacts here, they create a "gold label" data point to fine-tune our future models.

Visualizing the Flow

In our simulation UI, we are moving away from opaque black boxes. We want users and operators to see exactly how a decision was made.

• 🟨 Rule Nodes (Square Brackets): Represent firm infrastructure limits.
• 🟦 LLM Nodes (Rounded Rectangles): Represent the AI evaluating the narrative.
• 🟩 Ops Nodes (Diamonds): Represent final human checkpoints.

What's Next?

We are starting with this simulation module, but this primitive will eventually power our Corridor Routing, Liquidity Orchestration, Risk Scoring, and Compliance Workflows—all modules listed under our sandbox environment.

By following this grammar, we can scale from simple stablecoin transfers to complex cross-border agentic payments while keeping the system predictable and auditable.

Welcome to the new agentic standard for stablecoin orchestration.