Build production AI systems in 6 weeks. No engineering background required.
Get the methodology, the tools, and the working systems that took 18 months to figure out. Compressed into a structured program you can execute alongside your day job.
You've used ChatGPT. You've seen what people are building with AI. Multi-agent pipelines. Automated outbound systems. Production apps deployed and running.
You know the gap between prompting a chatbot and building a real system. You can feel it every time you try to go from idea to something that actually works.
The problem is not intelligence. The problem is method. Nobody showed you how to think about this as engineering, because the people building these systems are too busy building to teach.
No dev team. No CS degree. Just method.
Every system below was built using AI as the engineering function.
Multi-agent diagnostic pipeline. 8 min end-to-end. Claude primary, GPT-4o skeptic, PostgreSQL, deployed on Railway.
712 agents across 7 enterprise functions. Mapped to a proprietary diagnostic framework.
Apollo to Notion to Gmail. Multi-layer scoring, approval gates, autonomous touch sequences.
Multiple live websites. Next.js, Vercel, Sanity CMS. Designed, built, and deployed with AI.
The AI Systems Library
Architectures, automations, and agent systems you can study. The menu. The course teaches you to cook.
Orchestrate multiple LLMs to research, validate, and synthesize intelligence on any company.
Score leads, draft personalized sequences, and manage approval workflows. Fully automated.
Monitors competitor signals, synthesizes changes, and surfaces actionable briefs weekly.
Pull from government APIs, match to your TAM, and route actionable alerts to your CRM.
The AI Operator
How to identify the actual operational problem worth solving. Structured diagnostic thinking before you touch a tool.
Design a multi-component system on paper. Data flow, integration points, decision logic, failure modes.
How to prompt, instruct, and collaborate with AI to produce production code. Not tips. Methodology.
Opinionated tooling decisions. APIs, databases, deployment platforms, automation layers. What actually works.
End-to-end guided build of a real system. You pick the project. You build it. Modules 1 through 4 in action.
Getting it live. Monitoring. Iterating. What breaks and how to fix it without a dev team.
Who this is for
This is for you if...
- You've used AI tools and can see the potential, but can't get from idea to working system.
- You're a marketer, operator, or business owner who wants to build, not just prompt.
- You're willing to put in focused effort over 6 weeks to develop a real capability.
- You want working systems you built yourself, not templates someone else made.
This is not for you if...
- You're looking for prompt tips or ChatGPT tricks.
- You want someone to build your systems for you.
- You're not willing to work through problems and debug alongside AI.
- You already have a development team and don't need to build things yourself.
Nick McGuire
15 years in B2B SaaS marketing and RevOps. Director of Marketing at a software company. Founder of two consultancies. Zero traditional development background.
Everything in The AI Systems Library, every proof point on this page, was built using AI as the engineering function. Claude and Claude Code replaced an entire dev team. The AI Operator teaches the method behind all of it.
FAQ
No. The entire point of this program is that you don't. You'll learn to use AI as your engineering team. By the end, you'll have production code you built, but the skill is in directing the AI, not writing syntax.
Plan for 5 to 8 hours per week. Some modules are heavier than others. The Build Sprint (Module 5) is the most time-intensive.
A Claude Pro subscription, a GitHub account, and a Vercel account. Module 4 covers the full stack in detail. Total tool cost outside the program: under $30/month.
The community Slack is active. Weekly AMAs with Nick. Peer support from others building alongside you. You won't be doing this alone.
Full refund within 14 days if you've completed Module 1 and it's not what you expected. No questions, no friction.
It's self-paced. You start when you enroll. The 6-week structure is a recommended pace, not a deadline.
Stop watching. Start building.
6 weeks. One working system. The methodology to build the next one.