From Signal to Simulator: How Cubelet Manufactures Compliance Training
From Signal to Simulator: How Cubelet Manufactures Compliance Training
Most compliance training is assembled by hand. A subject matter expert writes content, a designer creates slides, an LMS hosts it, and learners click through.
Cubelet works differently. We built a factory.
The Problem with Handcrafted Training
Traditional compliance training has three structural problems:
It's slow. Developing a single course takes weeks or months. By the time it ships, the regulatory landscape has shifted.
It's shallow. A slide deck can tell you what a control requires. It can't simulate what happens when an assessor asks you to demonstrate it.
It doesn't adapt. Every learner gets the same content in the same order, regardless of what they already know or where they struggle.
These aren't quality problems. They're architecture problems. You can't solve them by making better slides. You solve them by changing how training is produced and delivered.
The Course Factory
The Course Factory is an AI production pipeline that transforms compliance knowledge into structured learning experiences. Here's how it works.
Stage 1: Signal
Every cubelet begins as a signal — a market demand, a regulatory change, a gap identified in learner assessments. Signals come from:
- Regulatory updates (new CMMC rules, NIST revisions)
- Gap analysis from the Scaffold diagnostic platform
Most compliance training is handcrafted. Cubelet built a factory.
The Problem with Handcrafted Training
Traditional compliance training has three structural problems:
It's slow. Building a course takes weeks or months. By the time it ships, the regulatory landscape has shifted.
It's shallow. A slide deck can tell you what a control requires. It can't simulate what happens when an assessor asks you to demonstrate it.
It doesn't adapt. Every learner gets the same content regardless of what they already know.
These aren't quality problems. They're architecture problems.
The Course Factory
The Course Factory is an AI production pipeline that turns compliance knowledge into structured learning experiences.
Stage 1: Signal
Every cubelet begins as a signal — a market demand, a regulatory change, or a gap identified in learner assessments.
Stage 2: Research
An AI research agent (Claude Haiku) gathers authoritative context from verified regulatory sources.
Stage 3: Write
A writing agent (Claude Sonnet) produces the cubelet — a knowledge atom with six faces: WHAT, WHY, HOW, WHERE, WHEN, APPLY.
Stage 4: Edit
An editing agent (Claude Sonnet) refines for pedagogical clarity, factual accuracy, and internal consistency.
Stage 5: QA
A quality assurance agent (Claude Opus) scores the cubelet across all six faces. The quality gate requires a minimum 42/60, with no face below threshold.
Stage 6: Publish
Passing cubelets are written to a Neo4j knowledge graph with semantic embeddings and taxonomic relationships.
From Cubelet to Simulator
Cubelets are atoms. Simulators are molecules.
The CMMC Assessment Simulator assembles 110 cubelets into an interactive assessment experience with:
Most compliance training is still handcrafted: experts write, designers build slides, LMSs host, and learners click through. Cubelet took a different path: we built a factory.
Ready to practice?
The CMMC Assessment Simulator covers all 110 Level 2 practices with AI-guided coaching.