AI Architect Mastery™

From Developer to AI Architect

The AI Driven Development Methodology: human-led, vendor-neutral engineering with AI agents.
Human as Architect → AI as Builder
Humans own intent and decisions. AI agents perform bounded work, evaluated through review, testing and evidence.

The AI Driven Development Methodology

Human as Architect → AI as Builder. Humans own intent, scope, architecture and final decisions; AI agents perform bounded work through PRD → PLAN → TASK → IMPLEMENTATION. Return to earlier steps when uncertainty, defects or changed understanding require it. Evidence informs human judgment; the workflow does not guarantee production readiness or authorize automatic release.

Read the AI Driven Development Methodology reference for the definition, responsibilities and four-phase workflow.

Watch the Series Introduction

  1. 01

    PRD

    Capture intent, scope, and constraints — a product requirements document the AI can reason about.

    Read more →
  2. 02

    PLAN

    Break the PRD into a structured implementation plan with explicit checkpoints.

    Read more →
  3. 03

    TASK

    Define scoped, reviewable work with clear context, bounded responsibility and acceptance criteria.

    Read more →
  4. 04

    IMPLEMENTATION

    Build, review, test and harden the implementation. Use evidence for human judgment at deliberate checkpoints.

    Read more →
  • Methodology, not magic

    A repeatable workflow — not prompt tricks or AI hype.

  • Human as architect

    Architectural control stays in human hands, always.

  • Engineering discipline

    AI-generated work is reviewed against explicit requirements, acceptance criteria and evidence.

  • Bounded responsibility

    Clear scope and context for AI work. Delegating execution does not delegate accountability.

Ready to start? Begin with the free Workflow Starter Kit — four resources covering all four phases (PRD, PLAN, TASK, IMPLEMENTATION).

Agent Journey: Milestone 1 →

Courses

A structured learning path from your first agent driven workflow to a recognized GitHub Copilot certification.

More in the AI Driven Development Path

Core

Mastering AI Driven Development

Full methodology end-to-end: PRD → PLAN → TASK → IMPLEMENTATION with Copilot agents.

Coming soon

Who AI Architect Mastery™ Is For

You are an experienced developer who…

  • Has 3–15+ years of software development behind you
  • Already uses GitHub Copilot or ChatGPT — but suspects you are barely scratching the surface
  • Wants a repeatable method for directing AI work and evaluating it against explicit criteria
  • Refuses to lose architectural control to autocomplete
  • Wants to lead AI-first development in your team — not just keep up

AAM is not for…

  • Absolute beginners looking for "code without coding"
  • AI hype enthusiasts chasing 5-minute app demos
  • No-code / low-code advocates
  • People searching for prompt tricks instead of a methodology
Ari Vilkman — AI Architect and instructor

Your Instructor: Ari Vilkman

AI Architect. Integration Architect. Educator.

With over 25 years in IT and hundreds of real-world projects, I have learned that great software is built when human intent and machine execution meet through a clear structure. That structure is what AI Architect Mastery teaches: a methodology for orchestrating AI coding agents the way you would orchestrate a skilled team — with PRDs, plans, tasks, and human checkpoints.

AAM is the sister brand of Data Integration Mastery™: DIM teaches what to build (integration architecture), AAM teaches how to build it with AI agents.

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Stay in the Loop

Your first email includes the AI Driven Development Workflow Starter Kit — four ready-to-use resources (PRD, PLAN, TASK, IMPLEMENTATION) to begin orchestrating GitHub Copilot agents. No course purchase needed. Just download, use, and level up.

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