I've had this conversation about 7 things i learned building a compliant ai with at least 50 founders. Here's the distilled version.
I just spent 18 months and over $250,000 making our AI product fully compliant with the EU AI Act. It was brutal, but the lessons were invaluable. I'm breaking down the 7 most critical, non-obvious takeaways for any founder in the AI space.
What I've Learned From 144 Companies
After investing in 200+ startups and running two companies to successful exits, I've developed a pretty clear picture of what works with 7 things i learned building a compliant ai.
The biggest misconception is that you need to the best solutions are often the simplest ones. That's backwards. The companies that win are the ones that customer feedback is the only metric that matters.
I remember sitting with the Anthropic team early on and discussing how they thought about 7 things i learned building a compliant ai. Their approach was counterintuitive but brilliant.
The Counterintuitive Truth
Here's what surprised me most about 7 things i learned building a compliant ai: 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 the market doesn't care about your roadmap. It sounds simple. It's incredibly hard to execute.
The Framework That Actually Works
I'm going to share the exact framework I use when evaluating 7 things i learned building a compliant ai. It's not complicated, but it requires discipline.
Step 1: most founders overthink this and underspend on execution This is where most people go wrong. They skip this step entirely and jump straight to execution. Don't do that.
Step 2: simplicity beats complexity every time Once you have the foundation right, this becomes much easier. I've watched founders struggle with this for months when the answer was staring them in the face.
Step 3: Iterate relentlessly Nothing works perfectly the first time. The companies in my portfolio that nail 7 things i learned building a compliant ai are the ones that treat it as an ongoing process, not a one-time project.
The AI Angle
I can't talk about 7 things i learned building a compliant ai 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 7 things i learned building a compliant ai 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 responsible AI, AI governance, ai-ethics|AI bias that I've been thinking about a lot lately.
The Bottom Line
Look, 7 things i learned building a compliant ai isn't rocket science. But it does require intentionality, consistency, and a willingness to learn from mistakes.
If you take one thing from this article, let it be this: start now, start small, and iterate. The founders who win at 7 things i learned building a compliant ai aren't the ones with the best strategy on paper. They're the ones who execute, learn, and adapt faster than everyone else.
I've been doing this for over a decade. The patterns are clear. The companies that take 7 things i learned building a compliant ai seriously outperform the ones that don't. Every single time.
If you're working on something interesting in this space, I'd love to hear about it. Drop me a line.
Frequently Asked Questions
How were these items selected?
Each item on this list comes from direct experience, either from building my own companies or from patterns I've observed across the 200+ startups I've invested in. I prioritize practical, actionable items over theoretical concepts.
Are these recommendations still relevant in 2026?
Absolutely. While specific tools and tactics change, the underlying principles remain consistent. I update my thinking regularly based on what I'm seeing in the market and across my portfolio companies.
Which item on this list has the highest impact?
It depends on your stage and context, but in my experience, the items near the top of the list tend to have the broadest applicability. That said, sometimes the less obvious items create the biggest breakthroughs for specific situations.
Can I implement all of these at once?
I'd strongly recommend against it. Pick the 2-3 items that resonate most with your current situation and focus there. Trying to do everything simultaneously is a recipe for doing nothing well.