The first time I tried to implement my counterintuitive guide to designing an ai curriculum at scale, everything broke. Not metaphorically. Actually broke.
Forget what you’ve read about AI curriculum design. Most guides are by tech guys who've never taught. As an entrepreneur and educator, here is my guide to creating an AI curriculum that fosters critical thinking.
The Counterintuitive Truth
Here's what surprised me most about my counterintuitive guide to designing an ai curriculum: the best practitioners do less, not more.
When I was building MovieLaLa, we tried to do everything at once. We had the best technology, the smartest team, and we still almost failed because we spread ourselves too thin.
The lesson I took from that experience, and from watching hundreds of other companies, is that your team matters more than your technology. It sounds simple. It's incredibly hard to execute.
What I've Learned From 30 Companies
After investing in 200+ startups and running two companies to successful exits, I've developed a pretty clear picture of what works with my counterintuitive guide to designing an ai curriculum.
The biggest misconception is that you need to simplicity beats complexity every time. That's backwards. The companies that win are the ones that most founders overthink this and underspend on execution.
I remember sitting with the Anthropic team early on and discussing how they thought about my counterintuitive guide to designing an ai curriculum. Their approach was counterintuitive but brilliant.
The AI Angle
I can't talk about my counterintuitive guide to designing an ai curriculum in 2026 without mentioning AI. As someone who's invested in Anthropic, OpenAI, Scale AI, and Hugging Face, I have a front-row seat to how AI is transforming this space.
The short version: AI makes good practitioners better and bad practitioners worse. It's an amplifier, not a replacement.
I've seen companies use AI to 10x their my counterintuitive guide to designing an ai curriculum capabilities. I've also seen companies waste millions on AI solutions that solved the wrong problem. The difference comes down to understanding what you're actually trying to achieve.
This connects to broader themes around critical thinking, educator guide, ai curriculum, how-to that I've been thinking about a lot lately.
What's Next
The world of my counterintuitive guide to designing an ai curriculum is moving fast. What worked last year might not work next year. That's both the challenge and the opportunity.
My advice: stay curious, stay humble, and stay close to the people who are actually doing the work. Read less thought leadership and do more experiments. Talk to fewer consultants and more practitioners.
And if you're a founder building in this space, remember that the best time to get my counterintuitive guide to designing an ai curriculum right is before you need to. Don't wait for a crisis to force your hand.
I'll keep sharing what I learn. This stuff matters too much to keep to myself.
Frequently Asked Questions
Who is this guide designed for?
This guide is written for founders and operators who want practical, actionable advice rather than theoretical frameworks. Whether you're just starting out or scaling an existing business, the principles here apply across stages.
How should I work through this guide?
Don't try to absorb everything in one sitting. Read through once to get the big picture, then go back and work through each section as it becomes relevant to your current challenges. Bookmark it and return to it regularly.
How often is this guide updated?
I revisit and update my guides regularly as I learn new things and as the market evolves. The core principles tend to stay stable, but specific tactics and tools get refreshed based on what's working right now.
Is this guide based on real experience?
Every recommendation in this guide comes from direct experience, either from building and selling my own companies, or from patterns I've observed across 200+ angel investments. I don't write about things I haven't personally tested.