The Human Upgrade Loop. Stop using AI for party tricks and start using it as the most powerful productivity system you've ever had. Structured, calm and immediately applicable.
Transform AI from an occasional tool into a complete productivity operating system.
Morning routines, daily planning and end-of-day review systems powered by AI.
Preparation workflows, note-taking, action item extraction and follow-up automation.
Drafting frameworks, tone adjustment, inbox management and template systems.
Deep research workflows, source evaluation, synthesis and report generation.
Knowledge capture, retrieval and connecting ideas with AI-powered note-taking.
Integration with existing tools, project planning and deadline tracking.
Combine everything into a personalised AI system that remembers your context.
Move from tool-user to system-builder with the Human Upgrade Loop framework.
8 modules designed for busy professionals who need immediate results.
4 lessons
5 lessons
5 lessons
5 lessons
5 lessons
5 lessons
4 lessons
5 lessons
Drowning in email and meetings, needing immediate productivity gains.
Leaders wanting a personal AI operating system for strategic advantage.
Researchers and analysts who need structured AI workflows for deep work.
Anyone wanting structured rather than scattered AI use in their daily work.
Filmmaker turned AI educator with years of experience teaching AI and creating AI courses enjoyed by thousands of students. Rupert runs his entire creative business on AI productivity systems, and his deliberately calm, structured approach helps students build AI workflows that actually stick.
Most people use AI sporadically — a question here, a draft there. This course transforms that scattered use into a complete productivity operating system. You’ll build interconnected workflows where your AI meeting notes feed into your task manager, your research flows into your knowledge base, and your email drafts pull context from everything else. The difference between using AI occasionally and having a proper AI system is the difference between owning a hammer and building a house.
Each of the 8 modules stands alone and you can implement workflows immediately. Many students report saving time from Module 1 onwards. The irony of a productivity course is that it should save you more time than it takes — and this one does. For the fastest path to a working system, join a live lesson where Rupert helps you build your personal AI productivity stack in real time. Contact us to find out about the next live lesson.
Yes. The course is deliberately tool-agnostic. Whether you use Notion or OneNote, Asana or Trello, Outlook or Gmail — the workflows integrate with whatever you already have. Module 7 specifically covers integration with your existing stack rather than asking you to switch to something new. You’re building a system around your tools, not replacing them.
Not at all. If you can use email and a web browser, you have all the technical skill you need. The course assumes no programming knowledge, no AI background, and no particular software expertise. Everything is explained in plain language with step-by-step guidance.
Your second brain is a personal AI-powered knowledge system that remembers your context, preferences and working style. It’s not just a chatbot — it’s an extension of your thinking that captures knowledge from meetings, emails and research, then surfaces the right information when you need it. Module 6 walks you through building one that actually works, without requiring any specialist tools.
The course teaches principles and systems, not button-clicking tutorials for specific software versions. The frameworks for structuring your AI workflows, building a knowledge base, and managing projects with AI apply regardless of which specific tools dominate next year. When tools change, your system adapts — that’s the whole point of thinking in systems rather than tricks.
It’s designed for anyone whose job involves thinking, communicating, researching or managing information — which covers most knowledge workers. Students range from marketing managers and consultants to academics and small business owners. The workflows are role-agnostic because they target universal tasks: meetings, email, research, note-taking, project management. If you spend your day in front of a screen, this course has something for you.
By the end of the course, you’ll have a complete personal AI productivity system — not a theoretical framework, but a working set of workflows you use daily. That includes an AI-powered meeting system, email workflow, research process, knowledge base, and task management approach, all connected into a single operating system tailored to how you work. You’ll also have the skills to build new workflows whenever your needs change.
YouTube tutorials teach isolated tricks. This course teaches you how to connect those capabilities into a system that compounds over time. Individual prompts give you a 10% improvement. A properly designed AI productivity system gives you a step change. The course also provides structured practice, build-along exercises, and a logical progression that random videos can’t match.
The workflows and frameworks you build are yours to share and adapt. Many students implement what they learn across their teams, and the tool-agnostic approach means it works regardless of what software your organisation uses. If you’re looking to roll this out more formally across a larger group, get in touch about team licensing options.
The live lesson is $220 AUD ($150 USD) per person for the course. It covers the same core material in an instructor-led format with real-time Q&A, group exercises, and direct feedback from Rupert.
Contact us to find out about the next live lesson.
AI Educator · Filmmaker · Author of The AI-Native Playbook
Rupert has trained thousands of professionals across corporate workshops, online courses, and live intensives — turning complex AI concepts into practical, immediately applicable skills. As an filmmaker and creative technologist, he brings a unique perspective that bridges technical capability and real-world application.
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