Human Expertise. AI Acceleration. Transparent Governance.

AI-Assisted Delivery at MOC Global

"No matter the AI you choose, the responsibility for the results remains in your hands."

At Master of Code Global, AI is applied as a delivery accelerator, not a decision-maker.
We embed AI across discovery, engineering, and quality workflows to improve speed, consistency, and scalability, while ownership, accountability, and release authority remain fully human-owned.
This approach allows us to scale responsibly — without compromising trust, transparency, or delivery discipline.

How AI Strengthens Our Delivery

Accelerated Understanding (Discovery & Design)

  • AI helps teams synthesize large volumes of input early, enabling faster alignment and clearer direction.
  • Tools include Firefly (structured insight extraction), GitHub SpecKit (early technical drafts), and NotebookLM (living knowledge repositories).

Engineering Acceleration (Development)

  • AI acts as a pair-programming and knowledge acceleration layer, reducing friction in day-to-day engineering work while preserving code quality.
  • We leverage tools such as Cursor, GitHub Copilot, Claude, Grammarly, and Glia AI / Knowledge Base AI to support coding, reviews, documentation, and platform knowledge access.
  • All architecture decisions, code reviews, and production readiness remain human-led.

Expanded Confidence (Testing & Quality Engineering)

  • AI enables broader scenario coverage and faster feedback, particularly for conversational and complex systems.
  • Our quality stack includes LLM-based Sim Users & Judges, OpenAI cloud services for similarity scoring, Dockerized local LLMs for controlled role-play testing, Langfuse for observability, Playwright (MCP) for deterministic testing, and Promptfoo & Giskard for AI quality and security validation.
  • Final QA approval and release decisions are always manual.
Clear Boundaries
AI at MOCG is

a force multiplier, a consistency enhancer, and a way to scale delivery responsibly.

AI at MOCG is not

a replacement for engineers, a decision-maker for scope or estimates, or a shortcut that reduces accountability.

What This Means for Glia

A delivery model that combines engineering ownership with AI acceleration, resulting in:

Faster execution without hidden risk
Predictable estimates and delivery outcomes
Stronger test coverage and clearer documentation
Full transparency into how AI is applied in practice